ArticlePDF AvailableLiterature Review

Is It Possible to Predict the Odor of a Molecule on the Basis of its Structure?

MDPI
International Journal of Molecular Sciences (IJMS)
Authors:

Abstract

The olfactory sense is the dominant sensory perception for many animals. When Richard Axel and Linda B. Buck received the Nobel Prize in 2004 for discovering the G protein-coupled receptors' role in olfactory cells, they highlighted the importance of olfaction to the scientific community. Several theories have tried to explain how cells are able to distinguish such a wide variety of odorant molecules in a complex context in which enantiomers can result in completely different perceptions and structurally different molecules. Moreover, sex, age, cultural origin, and individual differences contribute to odor perception variations that complicate the picture. In this article, recent advances in olfaction theory are presented, and future trends in human olfaction such as structure-based odor prediction and artificial sniffing are discussed at the frontiers of chemistry, physiology, neurobiology, and machine learning.
International Journal of
Molecular Sciences
Review
Is It Possible to Predict the Odor of a Molecule on the
Basis of its Structure?
Manon Genva 1, Tierry Kenne Kemene 1, Magali Deleu 2, Laurence Lins 2
and Marie-Laure Fauconnier 1, *
1Laboratory of Chemistry of Natural Molecules, Gembloux Agro-Bio Tech, University of Liège,
5030 Gembloux, Belgium; m.genva@uliege.be (M.G.); kenne@gmx.com (T.K.K.)
2Laboratory of Molecular Biophysics at Interfaces, Gembloux Agro-Bio Tech, University of Liège,
5030 Gembloux, Belgium; Magali.Deleu@uliege.be (M.D.); L.Lins@uliege.be (L.L.)
*Correspondence: marie-laure.fauconnier@uliege.be; Tel.: +32-81-622-289
Received: 29 May 2019; Accepted: 18 June 2019; Published: 20 June 2019


Abstract:
The olfactory sense is the dominant sensory perception for many animals. When Richard
Axel and Linda B. Buck received the Nobel Prize in 2004 for discovering the G protein-coupled
receptors’ role in olfactory cells, they highlighted the importance of olfaction to the scientific
community. Several theories have tried to explain how cells are able to distinguish such a wide
variety of odorant molecules in a complex context in which enantiomers can result in completely
dierent perceptions and structurally dierent molecules. Moreover, sex, age, cultural origin, and
individual dierences contribute to odor perception variations that complicate the picture. In this
article, recent advances in olfaction theory are presented, and future trends in human olfaction such
as structure-based odor prediction and artificial sning are discussed at the frontiers of chemistry,
physiology, neurobiology, and machine learning.
Keywords:
olfaction; odor; sensory perception; flavor; volatile organic compounds; structure-function
relationship; olfactory sense; odorant
1. Introduction
1.1. The Crucial Roles of the Olfactory Sense
It seems rational that the ability to recognize odor is common to every animal that has a nose,
but this may become less obvious in single-cell micro-organisms. However, almost all organisms,
including micro-organisms, can sense environmental cues through chemoreception [
1
]. The ability to
perceive volatile organic compounds (VOCs) is found in various phyla from single-cell organisms to
more complex ones such as mammals [
2
]. For most animals, the sense of smell is vital; the roles of odor
perception can be related to various functions involved in guaranteeing survival and reproduction,
such as finding food, avoiding danger, conspecific recognition, and searching for a mate [
3
6
]. Insects
and certain vertebrate animals locate their prey through smell. To illustrate this, mosquitos locate
mammals in order to suck their blood by detecting carbon dioxide, while common predators, especially
felines, can recognize the scent of blood hundreds of miles away [
7
]. The sense of smell also allows
animals to avoid danger by detecting foul-smelling food that may contain poisons and pathogens [
8
].
Finally, smell helps to build strong and positive ties between newborn animals, including humans, and
their mothers. During pregnancy, women develop a particular pattern of volatile molecules which are
useful to newborns to recognize their mother and to guide feeding immediately after birth and the first
weeks of life [9].
Int. J. Mol. Sci. 2019,20, 3018; doi:10.3390/ijms20123018 www.mdpi.com/journal/ijms
Int. J. Mol. Sci. 2019,20, 3018 2 of 16
1.2. Human Response to Odor
Smell is not simply a biological and psychological experience; it is also a social and cultural
phenomenon [
10
], as the sense of smell diers depending on culture, age, gender, and health status [
11
].
Olfactory perception is widely influenced by background and semantic information, as two people
with dierent cultural backgrounds can have dierent reactions when smelling the same thing. For
example, Canadians can better describe the scent of maple than French people, the latter being better
at describing lavender [
12
]. Odor recognition is also influenced by age, as children (<16 years old) and
older people (>55 years old) are less sensitive to odor than young and middle-aged adults [
13
16
].
Variation in olfactory perception depending on sex is less obvious [
13
]. In a recent meta-analysis, it
was shown that women generally outperform men in the identification and discrimination of odorants.
Ladies usually also have lower threshold values for odorant molecules. Nevertheless, even if the
dierences are statistically significant, they are small [17].
1.3. Physical and Chemical Features of Odor
According to Richard Axel and Linda B. Buck (recipients of the 2004 Nobel Prize in medicine or
physiology), smell is a chemical stimulus with a physiological response which can be due to one or a
combination of odorant molecules [
18
]. The latter are volatilized chemical compounds, usually at small
concentrations, that are perceived by animals, including humans, through the sense of olfaction [
19
].
The term “odor” is frequently used to name a scent that may or may not be pleasant, while the terms
“fragrance” and “aroma” are mostly used by the cosmetic and food industries to describe a pleasant
odor [19].
Odorant molecules include VOCs, which constitute a large class of low-molecular-weight (<300 Da)
carbon-containing compounds characterized by their high vapor pressure (
0.01 kPa at 20
C) and
high-to-moderate hydrophobicity [
20
]. An odor primarily originates from a compound volatilizing at
ambient temperature and thus reaching the nose. However, the vapor pressure value is not sucient
to predict whether a compound is odorant or not. For example, humans, on the one hand, can
smell NO
2
but not CO
2
; on the other hand, they can smell relatively large molecules such as musk
compounds [
21
,
22
]. Odorant molecules are not limited to carbon-containing compounds, as both
organic and inorganic molecules may have a smell. For example, ammonia (NH
3
) is an inorganic
compound that has a distinctive fishy scent [
23
]. Elemental chlorine gas (Cl
2
) has an acrid smell.
Hydrogen sulfide (H
2
S) is another inorganic odorant with a rotten egg scent. It is widely accepted
that humans are able to detect the presence of functional groups more easily with great reliability
than a single elemental compound. This is the case of thiols (-SH), oxines (-NOH) and nitro groups
(-NO
2
), respectively known for their sulfurous odor, green camphoraceous smell, and sweet ethereal
character [23].
1.4. Odor and Structure Relationship
Odorant compounds that have the same functional group seem to have similar odors, as esters
have a fruity and floral smell, lactones display a coconut or apricot character, amines have an
animal/roasted scent, thiols have a rotten or alliaceous smell [
24
], volatile fatty acids have a sour to
rancid smell, and aldehydes are associated with green odors such as grass cuttings or leaves [
25
,
26
].
Many studies have focused on the relationship between the molecular structure of a compound and its
odor [
27
29
]. Indeed, resolving this issue could have a significant economic impact on perfume and
aroma formulations. Some functional groups and their related smells are presented in Figure 1.
Int. J. Mol. Sci. 2019,20, 3018 3 of 16
Int.J.Mol.Sci.2019,20,xFORPEERREVIEW3of17
Int.J.Mol.Sci.2019,20,x;doi:FORPEERREVIEWwww.mdpi.com/journal/ijms
Functional
relatedgroupOdortypeandrelatedcompound
Citrusy
Aldehydes
CH
3
O
Sweet,aldehydic,waxy,
orangepeel,citrus,floral
decanal
CH3
O
CH3
Fresh,amber,aldehydic,
moss,citrus,tuberose,
metallic,waxy,coumarinic
2methylundecanal
CH
3
O
CH
3
Fresh,dry,citrus,waxy,
watery
2methyldecanal
Fishy
AminesCH3
NH2
Fishy,aminelike
heptan1amine
CH
3
NH
CH
3
Ammoniacal,fishy,musty
Nbutylbutan1amine
Fruity
Esters
OO
CH
3
O
O
CH
3
Sweet,fruity,apple,green,
tropical,plum,woody
ethyl(2methyl1,3dioxolan2yl)acetate
CH
3
CH
3
CH
3
O
O
CH
3
Fruity,woody,green,apple,
herbal
2tertbutylcyclohexylacetate
CH
3
O
O
CH
3
Sweet,fruity,tuttifrutti,
lifting,diffusive,apple
ethylbutanoate
Figure1.Examplesofodorantswithcommonfunctionalgroupsandsimilarodors[23].
Figure 1. Examples of odorants with common functional groups and similar odors [23].
However, only a few odors can be predicted based on the functional group of the molecule.
Indeed, some odorant molecules have the same functional group but dierent odors. This
is the case, for example, for 4,4-dimethyl-2-octeno-
δ
-lactone, 8-methyl-2-noneno-
δ
-lactone, and
5,6,6-trimethyl-2-hepteno-
δ
-lactone (Figure 2), which are three lactones that have very close structures
but very distinctive smells. In fact, the first molecule has a minty odor, the second a buttery odor, and
the last a terpene-like and camphorous character [30].
Likewise, enantiomeric compounds, also known as optical isomers, obviously have the same
chemical functions and are structurally close, but only as few as 5% of enantiomer couples have
a similar smell [
31
]. A very common example used by many organic chemistry teachers is the
two enantiomers of limonene: (S)-(-)-limonene smells like lemons, while (R)-(+)-limonene has the
Int. J. Mol. Sci. 2019,20, 3018 4 of 16
characteristic smell of orange. Another well-known example of an enantiomer couple with nonidentical
smells is (R)-γ-methylcyclogeranate, which smells like camphor, and (S)-γ-methyl cyclogeranate, the
scent of which is described as fruity [
31
]. When the molecule has two chiral centers, four dierent
enantiomers exist, potentially leading to four dierent odors (e.g., mentha-8-thiol-3-ones) (Figure 3) [
32
].
Int.J.Mol.Sci.2019,20,xFORPEERREVIEW4of17
However,onlyafewodorscanbepredictedbasedonthefunctionalgroupofthemolecule.
Indeed,someodorantmoleculeshavethesamefunctionalgroupbutdifferentodors.Thisisthecase,
forexample,for4,4dimethyl2octeno‐δ‐lactone,8methyl2noneno‐δ‐lactone,and
5,6,6trimethyl2hepteno‐δ‐lactone(Figure2),whicharethreelactonesthathaveveryclose
structuresbutverydistinctivesmells.Infact,thefirstmoleculehasamintyodor,theseconda
butteryodor,andthelastaterpenelikeandcamphorouscharacter[30].
4,4dimethyl2octeno‐δ‐lactone
OO
CH
3
CH
3
CH
3
Minty
8methyl2noneno‐δ‐lactone
OO
CH
3
CH
3
Buttery
5,6,6trimethyl2hepteno‐δ‐lactone
OO
CH
3
CH
3
CH
3
CH
3
Terpenelike,
campherous
Figure2.Examplesofodorantswithcommonfunctionalgroupsanddissimilarodors[24].
Likewise,enantiomericcompounds,alsoknownasopticalisomers,obviouslyhavethesame
chemicalfunctionsandarestructurallyclose,butonlyasfewas5%ofenantiomercoupleshavea
similarsmell[31].Averycommonexampleusedbymanyorganicchemistryteachersisthetwo
enantiomersoflimonene:(S)()limonenesmellslikelemons,while(R)(+)limonenehasthe
characteristicsmelloforange.Anotherwellknownexampleofanenantiomercouplewith
nonidenticalsmellsis(R)‐γ‐methylcyclogeranate,whichsmellslikecamphor,and(S)‐γ‐methyl
cyclogeranate,thescentofwhichisdescribedasfruity[31].Whenthemoleculehastwochiral
centers,fourdifferentenantiomersexist,potentiallyleadingtofourdifferentodors(e.g.,
mentha8thiol3ones)(Figure3)[32].
Figure 2. Examples of odorants with common functional groups and dissimilar odors [24].
Int.J.Mol.Sci.2019,20,xFORPEERREVIEW5of17
Int.J.Mol.Sci.2019,20,x;doi:FORPEERREVIEWwww.mdpi.com/journal/ijms
CH
3
CH
3
CH
2
CH
3
CH
3
CH
2
(S)()limonene(R)(+)limonene
LemonOrange
CH
3
CH
3
CH
3
O
O
CH
3
CH
3
CH
3
CH
3
O
O
CH
3
(R)‐γ‐methylcyclogeranate(S)‐γ‐methylcyclogeranate
CamphoraceousFruity
CH
3
OSH
CH
3
CH
3
CH
3
OSH
CH
3
CH
3
(1S,4R)cismentha8thiol3one(1R,4S)cismentha8thiol3one
Tropical,fruityRuber
CH
3
OSH
CH
3
CH
3
CH
3
OSH
CH
3
CH
3
(1R,4R)transmentha8thiol3one(1S,4S)transmentha8thiol3one
OnionlikeTropical,sulfurous
Figure3.Examplesofenantiomericcompoundswithdissimilarodors[31,33].
Finally,thereisthecaseofstructurallydifferentorganiccompoundshavingasimilarsmell;for
example,muskrelatedodors(Figure4)[32,34–37].
Figure 3. Examples of enantiomeric compounds with dissimilar odors [31,33].
Int. J. Mol. Sci. 2019,20, 3018 5 of 16
Finally, there is the case of structurally dierent organic compounds having a similar smell; for
example, musk-related odors (Figure 4) [32,3437].
Figure 4. Examples of odorants with dierent structures and similar odors (musk) [32,37].
Besides changing the odor, a small structural change to a molecule may cause a decrease in odor
intensity. As an example (Figure 5), the left molecule has a urinous smell, while the molecule on the
right, which only displays one extra CH3, is odorless [37,38].
Int.J.Mol.Sci.2019,20,xFORPEERREVIEW6of17
Int.J.Mol.Sci.2019,20,x;doi:FORPEERREVIEWwww.mdpi.com/journal/ijms
O
CH
3
CH
3
O
CH
3
CH
3
NO
2
CH
3
CH
3
CH
3
O
2
N
3methylcyclopentadecanone1(4tertbutyl2,6dimethyl3,5dinitrophe
nyl)ethanone
CH
3
O
CH
3
CH
3
CH
3
CH
3
CH
3
CH
3
CH3
CH3
CH3
O
CH3
CH3
O
O
CH3
1[1,1,2,6tetramethyl3(propan2yl)2,3dihydroinde
n5yl]ethanone
2(1(3,3dimethylcyclohexyl)ethoxy)2me
thylpropylpropionate
Figure4.Examplesofodorantswithdifferentstructuresandsimilarodors(musk)[32,37].
Besideschangingtheodor,asmallstructuralchangetoamoleculemaycauseadecreasein
odorintensity.Asanexample(Figure5),theleftmoleculehasaurinoussmell,whilethemolecule
ontheright,whichonlydisplaysoneextraCH3,isodorless[37,38].
CH
3
O
CH
3
CH
3
CH
3
CH
3
4(trans4tertbutylcyclohexyl)pentan2one
Urinous
CH
3
O
CH
3
CH
3
CH
3
CH
3
CH
3
4(trans4tertbutylcyclohexyl)4methylpentan2one
Odorless
Figure5.Exampleofthechangingodorantcharacterofacompoundwithslightstructural
modification.
Asmallchangeinthestructureorfunctionalgroupofamoleculecansignificantlyalteritssmell
inamannerthatacurrentpredictionodor–structuremodelcannotcompletelyexplain.
2.OlfactionMechanisms
2.1.ThePhysiologyofOlfaction
Theolfactorysystem’sorganizationisremarkablysimilarinvariousanimals,frominsectsto
mammals,allowingthedetectionofalargearrayofstructurallydifferentmolecules.Themechanism
ofolfactioncanbedividedintofourmainsteps:airflowoftheodorants,bindingtoreceptors,
Figure 5.
Example of the changing odorant character of a compound with slight structural modification.
A small change in the structure or functional group of a molecule can significantly alter its smell
in a manner that a current prediction odor–structure model cannot completely explain.
2. Olfaction Mechanisms
2.1. The Physiology of Olfaction
The olfactory system’s organization is remarkably similar in various animals, from insects to
mammals, allowing the detection of a large array of structurally dierent molecules. The mechanism of
olfaction can be divided into four main steps: airflow of the odorants, binding to receptors, transduction
of the signal, and information processing [39]. Hereafter, we focus on human olfaction (Figure 6).
Odor molecules can reach the nasal cavity either through orthonasal olfaction (direct inhalation
in front of the nose) or through the throat when the tongue pushes air to the back of the nasal cavity
while chewing or drinking (retronasal olfaction) [33].
Inside the nasal cavity, odor perception is due to the interaction of volatile compounds with the
olfactory receptor neurons (ORNs) that lie in the olfactory epithelium, which occupies a 3.7 cm
2
zone
Int. J. Mol. Sci. 2019,20, 3018 6 of 16
in the upper part of the nasal cavity. The epithelium is covered by mucus and contains olfactory glands
that secrete the enzymes found in the mucus [
40
]. Humans have around 12 million ORNs in each
epithelium (right and left); as the olfaction system is bilateral, there are two of each structure [41].
Int.J.Mol.Sci.2019,20,xFORPEERREVIEW7of17
transductionofthesignal,andinformationprocessing[39].Hereafter,wefocusonhumanolfaction
(Figure6).
Odormoleculescanreachthenasalcavityeitherthroughorthonasalolfaction(directinhalation
infrontofthenose)orthroughthethroatwhenthetonguepushesairtothebackofthenasalcavity
whilechewingordrinking(retronasalolfaction)[33].
Insidethenasalcavity,odorperceptionisduetotheinteractionofvolatilecompoundswiththe
olfactoryreceptorneurons(ORNs)thatlieintheolfactoryepithelium,whichoccupiesa3.7cm
2
zone
inthe
upperpartofthenasalcavity.Theepitheliumiscoveredbymucusandcontainsolfactory
glandsthatsecretetheenzymesfoundinthemucus[40].Humanshavearound12millionORNsin
eachepithelium(rightandleft);astheolfactionsystemisbilateral,therearetwoofeachstructure
[41].
Sensorytransductionisthemechanismbywhichtheinformationrelatedtotheodordetected
byanORNistransmittedtothebrain.Infact,eachORNhasatoneend20–30ciliabathinginmucus
andcontainingolfactoryreceptors(ORs)thatbindtoodormoleculestogiveanelectricalresponse.
TheelectricalmessageistransferredthroughtheaxonsituatedattheotherendoftheORNstonerve
fiberssituatedatthebackofthenasalcavity[33,40].EachORNexpressesonereceptortypein
humans,whereasitwasshownthatasingleneuronmayexpresstwodifferentreceptortypesin
otherspecies[41].TheaxonsofORNspassthroughtheethmoidbonetoformglomeruli.Glomeruli
arecomposedofORNaxonterminalsandthedendritesofmitralcells(secondorderneurons).The
axonsofalltheORNscontainingthesametypeofodorreceptoraregroupedinthesame
glomerulus.Inhumans,morethan5500glomeruliarepresent,formingtheolfactorybulb.The
olfactorybulbistheplacewherethesignalistreatedandtransmittedtothebrain[41,42].Axonsof
themitralcellsaregroupedinolfactorytractsconnectedtotheolfactorycortex.Untilrecently,the
olfactorysystemwasthoughttobeipsilateral:theleftepitheliumisconnectedtotheleftbulbwhich
itselfisconnectedtotheleftcortex,butitisnowknownthattheconnectivitycanalsobe
contralateral[41].Followingolfactorystimuli,ithasbeenshownthatseveralbrainzonesare
activated,suchasthethalamus,amygdala,andorbitofrontalcortex,makingolfactionacomplex
sensoryexperience[33].
Figure6.Mechanismsofhumanolfaction.1.Orthonasalolfaction;2.retronasalolfaction;3.nasal
cavity;4.olfactorybulb;A.mitralcell;B.glomerulus;C.axon;D.cilia;E.olfactoryreceptor;F.
olfactoryreceptorneuron.
2.2.OlfactionTheory:StudyingStructure–OdorRelationships
Therelationshipbetweenthemolecularstructureofacompoundanditsodorhasbeenthe
subjectofmanystudies.Inthisrespect,twomainschoolsofthoughtcoexist:theglobalapproach
andthestudyofodorantmolecule–receptorinteraction.Theglobalapproachisquitedescriptive
Figure 6.
Mechanisms of human olfaction.
1.
Orthonasal olfaction;
2.
retronasal olfaction;
3.
nasal
cavity; 4. olfactory bulb;
A.
mitral cell;
B.
glomerulus; C. axon;
D.
cilia; E. olfactory receptor;
F.
olfactory
receptor neuron.
Sensory transduction is the mechanism by which the information related to the odor detected by
an ORN is transmitted to the brain. In fact, each ORN has at one end 20–30 cilia bathing in mucus
and containing olfactory receptors (ORs) that bind to odor molecules to give an electrical response.
The electrical message is transferred through the axon situated at the other end of the ORNs to nerve
fibers situated at the back of the nasal cavity [
33
,
40
]. Each ORN expresses one receptor type in humans,
whereas it was shown that a single neuron may express two dierent receptor types in other species [
41
].
The axons of ORNs pass through the ethmoid bone to form glomeruli. Glomeruli are composed of
ORN axon terminals and the dendrites of mitral cells (second-order neurons). The axons of all the
ORNs containing the same type of odor receptor are grouped in the same glomerulus. In humans,
more than 5500 glomeruli are present, forming the olfactory bulb. The olfactory bulb is the place
where the signal is treated and transmitted to the brain [
41
,
42
]. Axons of the mitral cells are grouped
in olfactory tracts connected to the olfactory cortex. Until recently, the olfactory system was thought
to be ipsilateral: the left epithelium is connected to the left bulb which itself is connected to the left
cortex, but it is now known that the connectivity can also be contralateral [
41
]. Following olfactory
stimuli, it has been shown that several brain zones are activated, such as the thalamus, amygdala, and
orbitofrontal cortex, making olfaction a complex sensory experience [33].
2.2. Olfaction Theory: Studying Structure–Odor Relationships
The relationship between the molecular structure of a compound and its odor has been the
subject of many studies. In this respect, two main schools of thought coexist: the global approach
and the study of odorant molecule–receptor interaction. The global approach is quite descriptive
and is ineective at explaining the mechanisms underlying the olfaction chain. Nevertheless, these
studies can be helpful for flavorists and perfumers in search of new raw materials for the products they
develop [
32
,
34
36
,
43
46
]. The complete olfactory chain is complex and can lead to several biases. First
of all, the way sning is performed, either rapidly or slowly, will influence the odor concentration
reaching the nostril, but it seems that the olfactory bulb is able to distinguish odor concentration
variation and nasal flow modification (mechanical perception) [
41
,
47
]. Retronasal and orthonasal
olfaction can result in dierent perceptions, mainly due to the dierential solubility of the odorants in
the nasal or nasopharyngeal mucus, which dier in composition [
48
]. Prereceptor events, such as the
enzymatic conversion of odorants in nasal mucus and binding to odorant-binding proteins, will also
aect odor perception (e.g., conversion of aldehydes and esters to acids and alcohols) [
49
,
50
]. The nasal
mucus is rich in odorant-binding proteins that have variable anity for odorants depending on their
Int. J. Mol. Sci. 2019,20, 3018 7 of 16
chemical structure. The precise role of these odorant-binding proteins is quite hypothetical: trapping
of highly concentrated odorants to protect the nasal epithelium, transporting hydrophobic compounds
through the mucus, and removing odorants from the receptors to allow fast reactivation [
51
,
52
].
Post-receptor events can also complicate the understanding of the relationship between chemical
structure and odor perception. Indeed, the transformation by the brain of the signal originating from
the nose is not completely understood. The glomeruli are described as a temporally well-organized
unit playing an important role in signal transformation that can be compared to the thalamus’ role in
other sensory pathways; for example, helping to discriminate odor concentration changes for odor
source localization [
53
56
]. Another problem emerges once the signal has been treated by the brain;
that is, expressing the perceived odor in a way that everyone can understand. Unlike sight and hearing,
which can be reduced to easily measurable physical parameters, olfaction is subjective, and personal
characterization renders information sharing dicult even among professionals. Dierent reference
scales such as the “field of odors” have been created using reference molecules to classify odors but are
still far from a universal language for odor description [57,58].
Studies based on odorant–receptor interactions allow for a subtler comprehension of olfaction
mechanisms but require extremely pure compounds, since a trace of a minor enantiomer can impair
the quality of the conclusions. One must keep in mind that some odorants have a very low perception
threshold; for example, the ethyl mercaptan added to propane as a warning agent can be detected at a
concentration of 10
7
ng/L, the lowest one being pyrrolidino[1,2-e]-4H-2,4-dimethyl-1,3,5-dithiazine,
the typical flavor of cooked shellfish, at 108ng/L for the two isomers [32,41].
2.3. Odorant–Receptor Interactions
In 2004, Richard Axel and Linda B. Buck were awarded the Nobel Prize in medicine or physiology
for their research on odorant receptors and the organization of the olfactory system [
18
]. These studies
allowed a better understanding of the human smell mechanism through an elucidation of the olfactory
system [
18
]. Before that, the sense of smell was less well understood among our senses, even though
numerous dierent theories had been proposed [
33
]. Without going into deeper explanation, almost
30 theories [
59
,
60
] had been proposed regarding the olfactory sense before Richard Axel and Linda B.
Buck’s discovery, including a model for the stimulation of the organ of smell based on the polarization
eect [
61
], a model for the olfactory membrane [
62
], the piezoelectric eect [
63
], olfactory transduction
based on the formation of a weak bound complex between an absorbed gas molecule and certain
carotenoid pigments [
64
], an analogy with polar compounds in chromatographic systems [
65
], and a
mechanism based on inelastic electron spectroscopy [
59
]. Among these theories, the stereochemical
theory of olfaction, known as Amoore’s theory, had been very popular for quite some time [
66
].
Based on seven primary odors (e.g., camphor and flora), a general shape was associated with each
primary odor. As an example, a camphoraceous odor was linked to a hydrophobic, ellipsoidal shape
with a long axis of 0.95 nm and a short axis of 0.75 nm. This theory allowed the design of numerous
commercially successful novel molecules such as Javanol
®
, Rossitol
®
, Belambre
®
, and Azurone
®
, but
when the number of described specific anosmia (i.e., the inability to perceive specific odors) increased
from 7, which was coherent with the model, to 90, the theory was discarded [
66
68
]. On the other hand,
the vibrational theory considers that the detection of odorants is due to their vibrational frequencies
and not to their shape; an electron transfer can occur between odorants and the active site of ORs.
Several studies showing that humans are able to dierentiate isotopomers (isomers with isotopic atoms)
reinforced the theory because the latter dier in their molecular vibrational frequencies. However,
in a recent study, Block et al. tested series of isotopomers of musk and other compounds for their
capacity to activate specific odorant receptors
in vitro
and found no experimental evidence supporting
the vibrational theory. Peri-receptor events or odorant contaminations, rather than vibrational eects
at the receptor level, are suggested to explain the ability to discriminate isotopomers. It has since been
proposed that the study of the nature of odorant–receptor recognition should be based on receptor
activation mechanisms rather than odor perception [59].
Int. J. Mol. Sci. 2019,20, 3018 8 of 16
Buck and Axel hypothesized that the binding of odor molecules to specific surface receptors
(GTP-binding protein-coupled receptors, or GPCR) activates specific G proteins. GPCRs are
transmembrane proteins that cross the membrane seven times with an extracellular N-terminus
and an intracellular C-terminus (seven
α
-helices and six loops) [
18
,
33
]. Because the direct identification
of those transmembrane proteins is dicult in biological samples, 18 dierent members of a large
multigene family only expressed in the olfactory epithelium were cloned and characterized [
18
].
Genetic studies have shown that OR proteins are mainly expressed in ORNs and are highly variable,
especially in the transmembrane domains—3, 4, and 5, presumably—where the odorant binds the
protein [
18
]. Figure 7presents the cascade of reactions occurring when an odorant molecule enters the
nasal cavity. The odorant crosses the mucus directly or via transport proteins and then reaches the
odor receptor. After the binding of the odorant, the receptor undergoes structural modifications and
activates G proteins that are located on the cytoplasmic side. An active subunit called Ga is liberated,
activating, in turn, the lyase adenylate cyclase, resulting in the conversion of adenosine triphosphate
(ATP) into cyclic adenosine monophosphate (cAMP). The cAMP is able to open cyclic nucleotide-gated
ion channels allowing Ca
2+
and Na
+
ions to enter the cell, which results in the depolarization of the
ORN and transmission of the information to the brain. Nevertheless, the entry of Ca
++
ions opens
Ca++-dependent Cl-channels, which increases the depolarization [18,33,69,70].
Int.J.Mol.Sci.2019,20,xFORPEERREVIEW9of17
describedspecificanosmia(i.e.,theinabilitytoperceivespecificodors)increasedfrom7,whichwas
coherentwiththemodel,to90,thetheorywasdiscarded[66–68].Ontheotherhand,thevibrational
theoryconsidersthatthedetectionofodorantsisduetotheirvibrationalfrequenciesandnottotheir
shape;anelectrontransfercanoccurbetweenodorantsandtheactivesiteofORs.Severalstudies
showingthathumansareabletodifferentiateisotopomers(isomerswithisotopicatoms)reinforced
thetheorybecausethelatterdifferintheirmolecularvibrationalfrequencies.However,inarecent
study,Blocketal.testedseriesofisotopomersofmuskandothercompoundsfortheircapacityto
activatespecificodorantreceptorsinvitroandfoundnoexperimentalevidencesupportingthe
vibrationaltheory.Perireceptoreventsorodorantcontaminations,ratherthanvibrationaleffectsat
thereceptorlevel,aresuggestedtoexplaintheabilitytodiscriminateisotopomers.Ithassincebeen
proposedthatthestudyofthenatureofodorant–receptorrecognitionshouldbebasedonreceptor
activationmechanismsratherthanodorperception[59].
BuckandAxelhypothesizedthatthebindingofodormoleculestospecificsurfacereceptors
(GTPbindingproteincoupledreceptors,orGPCR)activatesspecificGproteins.GPCRsare
transmembraneproteinsthatcrossthemembraneseventimeswithanextracellularNterminusand
anintracellularCterminus(sevenα‐helicesandsixloops)[18,33].Becausethedirectidentification
ofthosetransmembraneproteinsisdifficultinbiologicalsamples,18differentmembersofalarge
multigenefamilyonlyexpressedintheolfactoryepitheliumwereclonedandcharacterized[18].
GeneticstudieshaveshownthatORproteinsaremainlyexpressedinORNsandarehighlyvariable,
especiallyinthetransmembranedomains—3,4,and5,presumably—wheretheodorantbindsthe
protein[18].Figure7presentsthecascadeofreactionsoccurringwhenanodorantmoleculeenters
thenasalcavity.Theodorantcrossesthemucusdirectlyorviatransportproteinsandthenreaches
theodorreceptor.Afterthebindingoftheodorant,thereceptorundergoesstructuralmodifications
andactivatesGproteinsthatarelocatedonthecytoplasmicside.AnactivesubunitcalledGais
liberated,activating,inturn,thelyaseadenylatecyclase,resultingintheconversionofadenosine
triphosphate(ATP)intocyclicadenosinemonophosphate(cAMP).ThecAMPisabletoopencyclic
nucleotidegatedionchannelsallowingCa
2+
andNa
+
ionstoenterthecell,whichresultsinthe
depolarizationoftheORNandtransmissionoftheinformationtothebrain.Nevertheless,theentry
ofCa
++
ionsopensCa
++
dependentCl
channels,whichincreasesthedepolarization[18,33,69,70].
Figure7.Cascadeofreactionsoccurringwhenanodorantmoleculeentersthenasalcavity.Odorants
crossthemucusdirectlyorviatransportproteins(Tp)andthenreachtheodorreceptor,which
Figure 7.
Cascade of reactions occurring when an odorant molecule enters the nasal cavity. Odorants
cross the mucus directly or via transport proteins (Tp) and then reach the odor receptor, which
undergoes structural modifications and activates G proteins (G). An active subunit (Ga) is liberated,
activating the lyase adenylate cyclase, resulting in the conversion of adenosine triphosphate (ATP)
into cyclic adenosine monophosphate (cAMP). The cAMP is able to open cyclic nucleotide-gated ion
channels, allowing Ca
2+
and Na
+
ions to enter the cell, which results in the depolarization of the odor
receptor neuron (ORN) and transmission of the information to the brain.
The number of odorant molecules that humans are able to distinguish is huge, but their exact
number is still controversial, with estimates ranging from 400,000 to 1 million [
2
]. Two theories could
explain this ability: a large number of olfactory receptors, each interacting with a few odorants, or
a small number of olfactory receptors responding to a great number of odorants in a combinatorial
way. With only 396 unique olfactory receptors [
71
], only the second hypothesis is plausible, which is
considerably dierent than the classical “lock and key” mechanism [
2
]. Compared with other mammals
such as rodents, humans have fewer olfactory receptors (1130 in mice) [
71
] and smaller olfactory bulbs,
but the number of neurons they contain is comparable [72].
Rather than binding specific ligands, olfactory receptors have anity for a range of odorants, and
an odorant molecule can bind several receptors with varying anities depending on its physicochemical
Int. J. Mol. Sci. 2019,20, 3018 9 of 16
properties, such as the molecular volume. Likewise, the identification of a particular odorant is not
due to the activation of one single receptor but to the activation of a group of receptors with a special
pattern which is typical for combinatorial coding. It has been shown that receptors can be broadly
tuned and respond to many dierent odorants, being most responsive to structurally similar odorants,
or narrowly tuned, responding to a small group of odorants, as depicted in Figure 8[23].
Int.J.Mol.Sci.2019,20,xFORPEERREVIEW10of17
undergoesstructuralmodificationsandactivatesGproteins(G).Anactivesubunit(Ga)isliberated,
activatingthelyaseadenylatecyclase,resultingintheconversionofadenosinetriphosphate(ATP)
intocyclicadenosinemonophosphate(cAMP).ThecAMPisabletoopencyclicnucleotidegatedion
channels,allowingCa
2+
andNa
+
ionstoenterthecell,whichresultsinthedepolarizationoftheodor
receptorneuron(ORN)andtransmissionoftheinformationtothebrain.
Thenumberofodorantmoleculesthathumansareabletodistinguishishuge,buttheirexact
numberisstillcontroversial,withestimatesrangingfrom400,000to1million[2].Twotheoriescould
explainthisability:alargenumberofolfactoryreceptors,eachinteractingwithafewodorants,ora
smallnumberofolfactoryreceptorsrespondingtoagreatnumberofodorantsinacombinatorial
way.Withonly396uniqueolfactoryreceptors[71],onlythesecondhypothesisisplausible,whichis
considerablydifferentthantheclassical“lockandkey”mechanism[2].Comparedwithother
mammalssuchasrodents,humanshavefewerolfactoryreceptors(1130inmice)[71]andsmaller
olfactorybulbs,butthenumberofneuronstheycontainiscomparable[72].
Ratherthanbindingspecificligands,olfactoryreceptorshaveaffinityforarangeofodorants,
andanodorantmoleculecanbindseveralreceptorswithvaryingaffinitiesdependingonits
physicochemicalproperties,suchasthemolecularvolume.Likewise,theidentificationofa
particularodorantisnotduetotheactivationofonesinglereceptorbuttotheactivationofagroup
ofreceptorswithaspecialpatternwhichistypicalforcombinatorialcoding.Ithasbeenshownthat
receptorscanbebroadlytunedandrespondtomanydifferentodorants,beingmostresponsiveto
structurallysimilarodorants,ornarrowlytuned,respondingtoasmallgroupofodorants,as
depictedinFigure8[23].
Figure8.Olfactoryreceptor(OR)responsestoodorants.Humanshaveapproximatively396
olfactoryreceptors(OR1,OR2,OR3,etc.).Asingleolfactoryreceptorisabletorecognizedifferent
odorantmolecules.Asanexample,OR1isabletorecognizemoleculesA,B,andC(d).The
identificationofaparticularodorantiscausedbytheactivationofagroupofreceptorswithaspecial
pattern(a,b,andc).Forexample,odorantAisrecognizedbyOR1andOR2asabananaflavor(a).
MoleculeBis,inturn,recognizedbyOR1andOR3andidentifiedasanorangeflavor(b).Also,two
distinctmoleculescanberecognizedbythesamereceptorsandidentifiedashavingthesameodor(a
andc).Indeed,odorantCisalsorecognizedbyOR1andOR2asabananaflavor(c).
Asacomplement,higherconcentrationsofodorantsactivateagreaternumberofreceptors.
Hence,thenumberofactivatedreceptorsislinkedbothtotheidentityofanodorantaswellasits
concentration[39].Anotherconcernistemporality.Anodorantcancausealonglastingresponsein
someolfactoryreceptorsandashorterresponseinothers.Asacorollary,anindividualolfactory
receptorcangiveashortanswertosomemoleculesandalongonetoothercompounds[39].
Furthermore,theactivationofolfactoryreceptorsisnottheonlyregulationpathwayinolfaction,as
someolfactoryreceptorscanalsobeinhibitedbysomeodorants[39].SinceagivenORNexpresses
onlyoneclassofodorantreceptorinhumans,andasneuronscontainingthesametypeofreceptor
sendtheiraxonstooneorafewglomerulioftheolfactorybulb,thestudyoftheinteractionbetween
areceptorandanodorantmoleculeisakeypointinolfactionresearch[73].
Figure 8.
Olfactory receptor (OR) responses to odorants. Humans have approximatively 396 olfactory
receptors (OR 1, OR 2, OR 3, etc.). A single olfactory receptor is able to recognize dierent odorant
molecules. As an example, OR 1 is able to recognize molecules A, B, and C (d). The identification of a
particular odorant is caused by the activation of a group of receptors with a special pattern (a, b, and c).
For example, odorant A is recognized by OR 1 and OR 2 as a banana flavor (
a
). Molecule B is, in turn,
recognized by OR 1 and OR 3 and identified as an orange flavor (
b
). Also, two distinct molecules can
be recognized by the same receptors and identified as having the same odor (a and c). Indeed, odorant
C is also recognized by OR 1 and OR 2 as a banana flavor (c).
As a complement, higher concentrations of odorants activate a greater number of receptors.
Hence, the number of activated receptors is linked both to the identity of an odorant as well as its
concentration [
39
]. Another concern is temporality. An odorant can cause a long-lasting response in
some olfactory receptors and a shorter response in others. As a corollary, an individual olfactory receptor
can give a short answer to some molecules and a long one to other compounds [
39
]. Furthermore,
the activation of olfactory receptors is not the only regulation pathway in olfaction, as some olfactory
receptors can also be inhibited by some odorants [
39
]. Since a given ORN expresses only one class of
odorant receptor in humans, and as neurons containing the same type of receptor send their axons to
one or a few glomeruli of the olfactory bulb, the study of the interaction between a receptor and an
odorant molecule is a key point in olfaction research [73].
Sequences of thousands of receptors have been discovered from genomes. ORs, representing
more than 2% of the human genome and 4% of our proteome, belong to the typical class A GPCR
motifs. Nevertheless, ORs show a low sequence identity with nonolfactory proteins of this class, as OR
conserved motifs are either dissimilar to or more complex than those present in sequences of other
class A GPCR. Since no 3D structure of ORs either in the active or inactive state has been resolved
to date, molecular modeling approaches (homology modeling, docking, and molecular dynamics,
notably) coupled to sequence conservation and site-directed mutagenesis have helped to predict 3D
models of ORs and their binding to diverse ligands. The binding pocket is notably composed of
hydrophobic transmembrane (TM) residues from TM3, 5, 6, and 7 [
74
78
], such as Phe 104, that could
contribute to stabilizing the ligand through an interaction between the aromatic cycle and double
bonds from odorant molecules [
74
]. The activation mechanisms are still poorly understood since the
highly conserved motifs, critical for the activation of nonolfactory GPCRs, are not present. Some of
these mechanisms’ aspects have been recently elucidated by using molecular dynamics and point
mutations, involving the highly conserved Y252 in helix 6 and identifying the ionic lock residues
between TM3 and TM6, which usually induce conformational change and subsequent activation [
74
].
Even though these models have substantially advanced our understanding of the recognition and
activation of ORs, the structural elucidation of olfactory GPCRs would provide a great advance in the
field of olfaction, as was in the case of rhodopsin, the first G-coupled receptor to be crystallized, which
helped us to better understand light perception [39].
Int. J. Mol. Sci. 2019,20, 3018 10 of 16
In mammals, olfactory receptors are not restricted to odorant receptors of the main olfactory
epithelium. In mice, a commonly used model, the olfactory system contains dierent chemosensory
subsystems counting the following olfactory receptors: odorant receptors, vomeronasal receptors, trace
amine-associated receptors, formyl peptide receptors, and guanylyl cyclase receptors, most of which
belong to the GPCR class. The relationship between the main olfactory system and accessory olfactory
systems is complex and needs further investigation, especially for species other than mouse [2,23,79].
The vomeronasal organ is also present in insects, where it allows, along with antennas, the perception
of pheromones, for example. Those molecules are semiochemicals known to influence communication
in all living organisms [
80
]. According to their function, pheromones play key roles in animal alarm,
releaser, territorial information, and sex [
3
,
81
]. In humans, the vomeronasal organ is vestigial and
nonfunctional [
81
], and the existence of functional accessory olfactory systems is still unclear [
41
].
Furthermore, olfactory receptors have been described in nontypical olfactory tissues such as myocardial
and erythroid cells, ganglia, spleen, colon, prostate, and testis [
82
]. Olfactory receptors were found in
mature sperm, revealing a potential role in sperm–oocyte chemiotaxis [82].
3. New Trends in Olfaction Studies
3.1. Importance and Diversity of Human Olfaction
Since the 19th century and Broca’s claim that humans are “nonsmellers”, the belief that humans
have an underdeveloped sense of smell compared with other mammals is deeply rooted in the scientific
community [
72
]. As a matter of fact, the American Medical Association has stated that loss of vision
and audition resulted, respectively, in a disability rate of 85% and 35%, whereas it was only 3% for
olfaction loss [
41
]. Recent studies contradict this 19th century myth, revealing that humans have both
very good capacities for detecting and discriminating dierent odors [
72
,
83
]. The importance of odors
and their influence on mood, cognition, and behavior is now recognized [84].
Dierences between individuals in perceiving odorants have received more attention recently.
Human olfaction perception is extremely variable for both specific sensitivity and general olfactory
acuity, with sensitivity varying several orders of magnitude between individuals [
85
]. The
polymorphism of olfactory receptors constitutes the molecular basis of such individual dierences [
85
].
Specific anosmia, specific hyposmia (reduced ability to detect an odor), and the less-studied specific
hyperosmia (increased olfactory acuity) occurrences are extremely numerous, which are, from a
statistical point of view, more the rule than the exception [
85
,
86
]. The first logical explanation of such
large olfactory perception diversity is genetic. Among the olfactory receptor genes and pseudogenes
of the human genome, more than 60% present damaging single-nucleotide polymorphisms (SNPs) in
their coding sequence. SNPs are a major source of human genetic variability and, when they are present
in a coding sequence of the genome, they cause segregation between intact and disrupted alleles in the
population. Even though a significant concordance can be observed for several odorant thresholds,
it is suggested that olfactory acuity is a complex trait due to olfactory receptor variations as well as
dierences in the downstream treatment of the information in the signaling pathway [
85
,
87
]. The
complex origin of anosmia, which is not only due to olfactory receptor genetic variations, is supported
by the observation that training can be used to improve sensitivity towards specific odorants which
were initially undetectable [
86
]. The plasticity of the olfactory system in adults has been shown by
successfully training volunteers to discriminate between odorant enantiomers [88].
Olfaction studies are no longer restricted to perfumers and flavorists, as illustrated by military
interest in the field [
89
]. The importance of the olfactory sense is now gaining the attention of the
medical domain because an impaired olfactory system impacts physical health, nutrition and eating
pleasure, and more generally, the quality of life [
84
,
90
]. Each of the four steps of the olfaction process
can be aected: nasal airflow can be impacted by nasal polyposis, chronic rhinitis can result in
peri-receptor event alteration, transduction via the primary olfactory neurons can be impaired by viral
rhinitis, and neurodegenerative diseases are mainly responsible for brain processing problems [
40
,
90
].
Int. J. Mol. Sci. 2019,20, 3018 11 of 16
Raising awareness of olfaction’s importance in human health is crucial. Smell loss can be an early sign
of neurodegenerative diseases such as Alzheimer’s disease or Parkinson’s disease and can assist in
their diagnosis [90].
3.2. Electronic Nose and Machine Learning
High interindividual variations in olfaction capacities and increasing sets of data pave the way for
new fields in olfaction studies, such as the electronic nose and machine learning.
Electronic noses are not new; the first one was designed four decades ago and consisted of
simple gas detectors, the ratio of the signals from the dierent transducers being processed to identify
an odor [
91
]. Electronic noses are made up of an array of dierent gas sensors that can interact
with volatile molecules and produce a signal, such as an electrical or optical signal, that can be
amplified and finally processed [
92
]. Progress in electronic nose technology is due to concomitant
improvements of sensor properties, signal preparation and pattern recognition, as reviewed in [
93
].
To cope with the high sensitivity, high selectivity, and the number of odorants potentially detected
by the human nose, numerous studies have already been undertaken, but many more must still be
performed before designing an instrument similar to the human olfactory system that can work in
various environmental conditions [
94
]. It remains true that some volatile molecules can be detected
by artificial olfaction machines but not by the human nose. The diversity of detected odors can be
improved by increasing the number of specific sensing elements, even though appropriate sensitivity
is dicult to reach, as human nose detection limits are at least 3–5 orders of magnitude lower than
those of actual gas detectors [
92
]. The selectivity is linked to the type of sensing element used. Metal
oxides and conducting polymers have poor selectivity [
92
], while semiconducting oxide nanobelts are
more stable and highly sensitive [
95
]. Chiral polymer composite allows for the dierential detection
of enantiomeric volatile compounds [
96
]. More recently, it was proposed to use olfactory receptor
proteins as sensing elements, but as they are transmembrane proteins, it was impossible to obtain the
required stability. Odorant-binding proteins are more appropriate candidates as they are soluble and
extremely stable with temperature and in organic solvents [
94
]. The main problems that remain to be
solved are the need for an aqueous interface and the low dissociation kinetics which are incompatible
with continuous monitoring of odorants. Design of site-specific mutated proteins with modified
ligand-binding specificity could be a solution [
94
]. Although an instrument capable of discriminating
odors with human-like performance still needs to be designed, the application domains are increasing
with technological improvements in the military field [
89
], environmental monitoring [
97
], medical
diagnostics [98], and food and beverage quality control [99101].
Questions still remain regarding the multifaceted olfactory code and the complex and
high-dimensional aspects of data from olfactory research. During the last two decades, artificial neural
networks were used to help elucidate structure–odor relationships: prediction of the camphoraceous
or fruity odor of aliphatic alcohols [
102
], the musk odor of tetralin and indan compounds [
103
], the
aroma quality and threshold values of pyrazines [
104
], and so forth. More recently, machine learning
was used to facilitate complex data-driven research in the olfactory field; for example, to predict the
response of olfactory receptors [
105
]. Machine learning methods are increasingly widely used in
human olfactory research at dierent levels: physiology of odor detection and recognition, olfactory
acuity as diagnostic biomarkers, and odor recognition from physicochemical properties of volatiles
(for review, see [106]).
4. Conclusions
Determining whether it is possible to predict the odor of a molecule based on its structure is
certainly not trivial. The literature is replete with descriptions of odor and threshold values for
thousands of natural and synthetic odorants, which can be useful for anyone wishing to know what
smell is associated with an already-known molecule. Structural similarity can be used in some cases to
predict the odor of a particular compound but, as mentioned before, it is far from being 100% reliable.
Int. J. Mol. Sci. 2019,20, 3018 12 of 16
Recent progress in chemistry, physiology, neurobiology, and genetics with the help of
bioinformatics and machine learning should allow the better understanding of the human olfaction
system. Studying olfactory receptor–odorant interactions and the activation mechanisms is certainly
the most attractive approach in order to predict an odor based on molecular structure. Nowadays,
it seems impossible to test every single olfactory receptor with every possible odorant, but with the
help of bioinformatics approaches, this goal is perhaps reachable, especially if the 3D structure of
ORs were found. The combinatorial coding scheme of odorants requires a better understanding of
how the combination of OR activation is processed in the brain to link odor to olfactory perception.
Taking into account the enormous datasets generated by combinatorial coding, machine learning can
be helpful. Intrinsic signal imaging of the olfactory bulb has been suggested by some authors, but
technical improvements are still required. Depending on the goal of each study, a global approach may
be appropriate. For example, when the main question is not knowing how the olfactory system works
but rather whether the consumer will enjoy the food/perfume for commercial applications, trained
panelists would be the best solution to provide sensory evaluations of the products and to reflect
individual variability [107,108].
In many traditions, sning food is considered impolite. This cultural issue has gradually
contributed to the decline of olfaction in everyday life. From a public health point of view, it is crucial
to restore the pivotal role of olfaction among our five senses by changing mentalities and encouraging
children to smell and enjoy what they eat. Elders should also stimulate their olfaction to counteract their
loss in olfactory ability, since this is linked to a loss of appetite, which can have dramatic consequences
on health and even be a marker of neurodegenerative disorders.
Funding:
This work has been supported by the Education, Audiovisual and Culture Executive Agency (EACEA),
through the EOHUB project (600873-EPP-1-2018-1ES-EPPKA2-KA).
Acknowledgments:
M.D. and L.L. thank the Fonds National de la Recherche Scientifique from Belgium
(FRS-FNRS).
Conflicts of Interest: The authors declare no conflict of interests.
References
1.
Depelteau, J.S.; Brenzinger, S.; Briegel, A. Bacterial and Archaeal Cell Structure. In Reference Module in Life
Sciences; Elsevier: Amsterdam, The Netherlands, 2019.
2. Grabe, V.; Sachse, S. Fundamental principles of the olfactory code. Biosystems 2018,164, 94–101. [CrossRef]
[PubMed]
3.
Choi, N.-E.; Han, J.H. How Flavor Works—The Science of Taste and Aroma; John Wiley & Sons, Ltd.: Chichester,
UK, 2015.
4. Padodara, R.J.; Jacob, N. Olfactory Sense in Dierent Animals. Indian J. Vet. Sci. 2014,2, 1–14.
5.
Calvo-Ochoa, E.; Byrd-Jacobs, C. The Olfactory System of Zebrafish as a Model for the Study of Neurotoxicity
and Injury: Implications for Neuroplasticity and Disease. Int. J. Mol. Sci.
2019
,20, 1639. [CrossRef] [PubMed]
6.
Wang, Z.; Zhou, Y.; Luo, Y.; Zhang, J.; Zhai, Y.; Yang, D.; Zhang, Z.; Li, Y.; Storm, D.; Ma, R. Gene Expression
Profiles of Main Olfactory Epithelium in Adenylyl Cyclase 3 Knockout Mice. Int. J. Mol. Sci.
2015
,16,
28320–28333. [CrossRef] [PubMed]
7.
Raji, J.I.; DeGennaro, M. Genetic analysis of mosquito detection of humans. Curr. Opin. Insect Sci.
2017
,20,
34–38. [CrossRef] [PubMed]
8.
Reed, D.R.; Knaapila, A. Genetics of Taste and Smell: Poisons and Pleasures. NIH Public Access
2010
,94,
213–240.
9.
Vaglio, S. Chemical communication and mother-infant recognition. Commun. Integr. Biol.
2009
,2, 279–281.
[CrossRef]
10.
Sparkes, A.C. Ethnography and the senses: Challenges and possibilities. Qual. Res. Sport Exerc.
2009
,1,
21–35. [CrossRef]
11.
Sarafoleanu, C.; Mella, C.; Georgescu, M.; Perederco, C. The importance of the olfactory sense in the human
behavior and evolution. J. Med. Life 2009,2, 196–198.
Int. J. Mol. Sci. 2019,20, 3018 13 of 16
12.
Ferdenzi, C.; Joussain, P.; Digard, B.; Luneau, L.; Djordjevic, J.; Bensafi, M. Individual Dierences in Verbal
and Non-Verbal Aective Responses to Smells: Influence of Odor Label Across Cultures. Chem. Senses
2016
,
42, 37–46. [CrossRef]
13.
Hummel, T.; Kobal, G.; Gudziol, H.; Mackay-Sim, A. Normative data for the “Snin’ Sticks” including tests
of odor identification, odor discrimination, and olfactory thresholds: An upgrade based on a group of more
than 3,000 subjects. Eur. Arch. Oto-Rhino-Laryngology 2007,264, 237–243. [CrossRef] [PubMed]
14.
Sorokowska, A.; Hummel, T. Polska wersja testu Snin’ Sticks—Adaptacja i normalizacja. Otolaryngol. Pol.
2014,68, 308–314. [CrossRef] [PubMed]
15.
Sorokowska, A.; Schriever, V.A.; Gudziol, V.; Hummel, C.; Hähner, A.; Iannilli, E.; Sinding, C.; Aziz, M.;
Seo, H.S.; Negoias, S.; et al. Changes of olfactory abilities in relation to age: Odor identification in more than
1400 people aged 4 to 80 years. Eur. Arch. Oto-Rhino-Laryngology
2015
,272, 1937–1944. [CrossRef] [PubMed]
16.
Doty, R.; Shaman, P.; Applebaum, S.; Giberson, R.; Siksorski, L.; Rosenberg, L. Smell identification ability:
Changes with age. Science 1984,226, 1441–1443. [CrossRef] [PubMed]
17.
Sorokowski, P.; Karwowski, M.; Misiak, M.; Marczak, M.K.; Dziekan, M.; Hummel, T.; Sorokowska, A. Sex
dierences in human olfaction: A meta-analysis. Front. Psychol. 2019,10, 242. [CrossRef] [PubMed]
18.
Buck, L.; Axel, R. A novel multigene family may encode odorant receptors: A molecular basis for odor
recognition. Cell 1991,65, 175–187. [CrossRef]
19. John, P.J. Basics of Biopsychology, 7th ed.; Allyn & Bacon, Inc.: London, UK, 2007.
20.
Herrmann, A. The Chemistry and Biology of Volatiles; Herrmann, A., Ed.; John Wiley & Sons, Ltd.: Chichester,
UK, 2010; p. 428.
21.
De Gennaro, G.; Farella, G.; Marzocca, A.; Mazzone, A.; Tutino, M. Indoor and outdoor monitoring of volatile
organic compounds in school buildings: Indicators based on health risk assessment to single out critical
issues. Int. J. Environ. Res. Public Health 2013,10, 6273–6291. [CrossRef] [PubMed]
22.
Yoshii, F. Structure-odor relations: A modern perspective. In Handbook of Olfaction and Gustation; Doty, R.L.,
Ed.; Taylor & Francis Group: Abingdon, UK, 2003; pp. 457–492.
23.
Nara, K.; Saraiva, L.R.; Ye, X.; Buck, L.B. A Large-Scale Analysis of Odor Coding in the Olfactory Epithelium.
J. Neurosci. 2011,31, 9179–9191. [CrossRef]
24.
Dufoss
é
, L.; Latrasse, A.; Spinnler, H.-E. Importance des lactones dans les ar
ô
mes alimentaires. Sci des
Aliment. 1994,14, 17–50.
25. Goldstein, N. Getting to know the odor compounds. Biocycle 2002,43, 42–44.
26.
Buettner, A. Springer Handbook of Odor; Buettner, A., Ed.; Springer International Publishing: Cham,
Switzerland, 2017.
27.
Laing, D.G. Relationship between Molecular Structure, Concentration and Odor Qualities of Oxygenated
Aliphatic Molecules. Chem. Senses 2003,28, 57–69. [CrossRef] [PubMed]
28.
Poivet, E.; Tahirova, N.; Peterlin, Z.; Xu, L.; Zou, D.-J.; Acree, T.; Firestein, S. Functional odor classification
through a medicinal chemistry approach. Sci. Adv. 2018,4, eaao6086. [CrossRef] [PubMed]
29.
Zarzo, M. Eect of Functional Group and Carbon Chain Length on the Odor Detection Threshold of Aliphatic
Compounds. Sensors 2012,12, 4105–4112. [CrossRef] [PubMed]
30. Nobuhara, A. Syntheses of Unsaturated Lactones. Agric. Biol. Chem. 1968,32, 1016–1020.
31.
Brookes, J.C.; Horsfield, A.P.; Stoneham, A.M. Odour character dierences for enantiomers correlate with
molecular flexibility. J. R. Soc. Interface 2009,6, 75–86. [CrossRef] [PubMed]
32.
Boelens, M.H.; van Gemert, L.J. Volatile character-impact sulfur compounds and their sensory properties.
Perfum. Flavorist 1993,18, 29–39.
33.
Meierhenrich, U.J.; Golebiowski, J.; Fernandez, X.; Cabrol-Bass, D. De la mol
é
cule
à
l’odeur: Les bases
moléculaires des premières étapes de l’olfaction. L. Actual. Chim. 2005, 29–40.
34. Rossiter, K.J. Structure-odor relationships. Chem. Rev. 1996,96, 3201–3240. [CrossRef]
35.
Kraft, P.; Bajgrowicz, J.A.; Denis, C.; Frater, G. Odds and Trends: Recent Developments in the Chemistry of
Odorants. Angew. Chemie Int. Ed. 2000,39, 2980–3010. [CrossRef]
36.
Brenna, E.; Fuganti, C.; Serra, S. Enantioselective perception of chiral odorants. Tetrahedron: Asymmetry
2003
,
14, 1–42. [CrossRef]
37.
Sell, C.S. On the unpredictability of odor. Angew. Chemie Int. Ed.
2006
,45, 6254–6261. [CrossRef] [PubMed]
38.
Ohlo, G.; Maurer, B.; Winter, B.; Giersch, W. Structural and Configurational Dependence of the Sensory
Process in Steroids. Org. Biol. Chemie Chim. Org. Chim. Biol. 1983,66, 192–217. [CrossRef]
Int. J. Mol. Sci. 2019,20, 3018 14 of 16
39.
Su, C.-Y.; Menuz, K.; Carlson, J.R. Olfactory Perception: Receptors, Cells, and Circuits. Cell
2009
,139, 45–59.
[CrossRef] [PubMed]
40. Bonfils, P. Odorat: De l’aéroportage au cortex. Bull. Acad. Natl. Med. 2014,198, 1109–1120. [PubMed]
41.
Sela, L.; Sobel, N. Human olfaction: A constant state of change-blindness. Exp. Brain Res.
2010
,205, 13–29.
[CrossRef] [PubMed]
42.
Maresh, A.; Rodriguez Gil, D.; Whitman, M.C.; Greer, C.A. Principles of glomerular organization in the
human olfactory bulb—Implications for odor processing. PLoS ONE 2008,3. [CrossRef] [PubMed]
43. Herden, G. Some aspects of qualitative data analysis. Math. Soc. Sci. 1993,26, 105–138. [CrossRef]
44.
Boelens, M.H.; Boelens, H.; Van Gemert, L.J. Sensory Properties of Optical Isomers. Perfum. Flavonist
1993
,
18, 1.
45.
Chastrette, M. Classification of Odors and Structure–Odor Relationships. In Olfaction, Taste, and Cognition;
Rouby, C., Schaal, B., Dubois, D., Gervais, R., Holley, A., Eds.; Cambridge University Press: Cambridge, UK,
2009; pp. 100–116.
46.
Ohlo, G.; Winter, B.; Fehr, C. Chemical Classification and Structure—Odour Relationships. In Perfumes;
Springer Netherlands: Dordrecht, Netherlands, 1994; pp. 287–330.
47.
Jordan, R.; Kollo, M.; Schaefer, A.T. Sning Fast: Paradoxical Eects on Odor Concentration Discrimination
at the Levels of Olfactory Bulb Output and Behavior. Eneuro 2018,5. [CrossRef]
48.
Wilkes, F.J.; Laing, D.G.; Hutchinson, I.; Jinks, A.L.; Monteleone, E. Temporal processing of olfactory stimuli
during retronasal perception. Behav. Brain Res. 2009,200, 68–75. [CrossRef]
49.
Nagashima, A.; Touhara, K. Enzymatic Conversion of Odorants in Nasal Mucus Aects Olfactory Glomerular
Activation Patterns and Odor Perception. J. Neurosci. 2010,30, 16391–16398. [CrossRef] [PubMed]
50.
Thiebaud, N.; da Silva, S.V.; Jakob, I.; Sicard, G.; Chevalier, J.; M
é
n
é
trier, F.; Berdeaux, O.; Artur, Y.;
Heydel, J.M.; Le Bon, A.M. Odorant Metabolism Catalyzed by Olfactory Mucosal Enzymes Influences
Peripheral Olfactory Responses in Rats. PLoS ONE 2013,8, 34–56. [CrossRef] [PubMed]
51. Pelosi, P. Odorant-binding proteins. Crit. Rev. Biochem. Mol. Biol. 1994,29, 199–228. [CrossRef] [PubMed]
52.
Tegoni, M.; Pelosi, P.; Vincent, F.; Spinelli, S.; Campanacci, V.; Grolli, S.; Ramoni, R.; Cambillau, C. Mammalian
odorant binding proteins. Biochim. Biophys. Acta Protein Struct. Mol. Enzymol.
2000
,1482, 229–240. [CrossRef]
53.
Homma, R.; Lv, X.; Sato, T.; Imamura, F.; Zeng, S.; Nagayama, S. Narrowly Confined and Glomerulus-Specific
Onset Latencies of Odor-Evoked Calcium Transients in the Juxtaglomerular Cells of the Mouse Main
Olfactory Bulb. Eneuro 2019,6. [CrossRef] [PubMed]
54.
Kay, L.M.; Sherman, S.M. An argument for an olfactory thalamus. Trends Neurosci.
2007
,30, 47–53. [CrossRef]
55.
Geramita, M.; Urban, N.N. Dierences in Glomerular-Layer-Mediated Feedforward Inhibition onto Mitral
and Tufted Cells Lead to Distinct Modes of Intensity Coding. J. Neurosci. 2017,37, 1428–1438. [CrossRef]
56.
Bizer, A.; Parabucki, A.; Smear, M.; Munoz, A.E.; Shusterman, R.; Bala, A.D.S.; Morris, G. Odor concentration
change coding in the olfactory bulb. Eneuro 2019,6. [CrossRef]
57.
Jaubert, J.N.; Tapiero, C.; Dore, J.C. The field of odours: Toward a universal language for odour relationships.
Perfum. Flavorist 1995,20, 1–16.
58.
David, S. Linguistic Expressions for Odors in French. In Olfaction, Taste, and Cognition; Rouby, C., Schaal, B.,
Dubois, D., Gervais, R., Holley, A., Eds.; Cambridge University Press: Cambridge, UK, 2009; pp. 82–99.
59.
Block, E.; Jang, S.; Matsunami, H.; Sekharan, S.; Dethier, B.; Ertem, M.Z.; Gundala, S.; Pan, Y.; Li, S.; Li, Z.; et al.
Implausibility of the vibrational theory of olfaction. Proc. Natl. Acad. Sci. 2015,112, 2766–2774. [CrossRef]
60. Malcolm Dyson, G. The scientific basis of odour. J. Soc. Chem. Ind. 1938,57, 647–651. [CrossRef]
61. De Jong, H.G.B.S. G.G.. model for the stimulation of organ of smell. Proc. Acad. Sci. 1937,40, 302–306.
62.
Davies, J.T.; Taylor, F.H. A Model System for the Olfactory Membrane. Nature
1954
,174, 693–694. [CrossRef]
[PubMed]
63. Briggs, M.H.; Duncan, R.B. Odor receptors. Nature 1961,91, 1310–1311. [CrossRef] [PubMed]
64.
Rosenberg, B.; Misra, T.N.; Switzer, R. Mechanism of Olfactory Transduction. Nature
1968
,217, 423–427.
[CrossRef]
65.
Mozell, M.M. Evidence for a Chromatographic Model of Olfaction. J. Gen. Physiol.
2004
,56, 46–63. [CrossRef]
66. Amoore, J.E. Specific anosmia and the concept of primary odors. Chem. Senses 1977,2, 267–281. [CrossRef]
67.
Triller, A.; Boulden, E.A.; Churchill, A.; Hatt, H.; Englund, J.; Spehr, M.; Sell, C.S. Odorant–Receptor
Interactions and Odor Percept: A Chemical Perspective. Chem. Biodivers. 2008,5, 862–886. [CrossRef]
68. Amoore, J.E. Stereochemical theory of olfaction. Nature 1963,198, 271–272. [CrossRef]
Int. J. Mol. Sci. 2019,20, 3018 15 of 16
69.
Silva Teixeira, C.S.; Cerqueira, N.M.F.S.A.; Silva Ferreira, A.C. Unravelling the Olfactory Sense: From the
Gene to Odor Perception. Chem. Senses 2015,41, 105–121. [CrossRef]
70. DeMaria, S.; Ngai, J. The cell biology of smell. J. Cell Biol. 2010,191, 443–452. [CrossRef] [PubMed]
71.
Block, E. Molecular Basis of Mammalian Odor Discrimination: A Status Report. J. Agric. Food Chem.
2018
,66,
13346–13366. [CrossRef] [PubMed]
72.
McGann, J.P. Poor human olfaction is a 19th-century myth. Science
2017
,356, eaam7263. [CrossRef] [PubMed]
73.
Malnic, B. Searching for the ligands of odorant receptors. Mol. Neurobiol.
2007
,35, 175–181. [CrossRef]
[PubMed]
74.
De March, C.A.; Yu, Y.; Ni, M.J.; Adipietro, K.A.; Matsunami, H.; Ma, M.; Golebiowski, J. Conserved Residues
Control Activation of Mammalian G Protein- Coupled Odorant Receptors. J. Am. Chem. Soc.
2015
,137,
8611–8616. [CrossRef] [PubMed]
75.
De March, C.A.; Kim, S.; Antonczak, S.; Goddard, W.A., III; Golebiowski, J. G protein-coupled odorant
receptors: From sequence to structure. Protein Sci. 2015,24, 1543–1548. [CrossRef] [PubMed]
76.
Baud, O.; Etter, S.; Spreafico, M.; Bordoli, L.; Schwede, T.; Vogel, H.; Pick, H. The Mouse Eugenol Odorant
Receptor: Structural and Functional Plasticity of a Broadly Tuned Odorant Binding Pocket. Biochemistry
2011,50, 843–853. [CrossRef] [PubMed]
77.
Man, O.; Gilad, Y.; Lancet, D. Prediction of the odorant binding site of olfactory receptor proteins by human –
mouse comparisons. Protein Sci. 2004,13, 240–254. [CrossRef] [PubMed]
78.
Floriano, W.B.; Vaidehi, N.; Goddard, W.A. Making sense of olfaction through predictions of the 3-D structure
and function of olfactory receptors. Chem. Senses 2004,29, 269–290. [CrossRef] [PubMed]
79.
Mohrhardt, J.; Nagel, M.; Fleck, D.; Ben-Shaul, Y.; Spehr, M. Signal detection and coding in the accessory
olfactory system. Chem. Senses 2018,43, 667–695. [CrossRef] [PubMed]
80.
Brennan, P.A. Pheromones and Mammalian Behavior. In The Neurobiology of Olfaction; Menini, A., Ed.; CRC
Press/Taylor & Francis: Abingdon, UK, 2010.
81.
Gomez-Diaz, C.; Benton, R. The joy of sex pheromones. EMBO Rep.
2013
,14, 874–883. [CrossRef] [PubMed]
82.
Milardi, D.; Colussi, C.; Grande, G.; Vincenzoni, F.; Pierconti, F.; Mancini, F.; Baroni, S.; Castagnola, M.;
Marana, R.; Pontecorvi, A. Olfactory receptors in semen and in the male tract: From proteome to proteins.
Front. Endocrinol. 2018,8, 379. [CrossRef] [PubMed]
83.
Olofsson, J.K.; Wilson, D.A. Human Olfaction: It Takes Two Villages. Curr. Biol.
2018
,28, 108–110. [CrossRef]
[PubMed]
84.
Soudry, Y.; Lemogne, C.; Malinvaud, D.; Consoli, S.M.; Bonfils, P. Olfactory system and emotion: Common
substrates. Eur. Ann. Otorhinolaryngol. Head Neck Dis. 2011,128, 18–23. [CrossRef] [PubMed]
85.
Menashe, I.; Abay, T.; Hasin, Y.; Goshen, S.; Yahalom, V.; Luetje, C.W.; Lancet, D. Genetic Elucidation of
Human Hyperosmia to Isovaleric Acid. PLoS Biol. 2007,5. [CrossRef] [PubMed]
86.
Croy, I.; Olgun, S.; Mueller, L.; Schmidt, A.; Muench, M.; Hummel, C.; Gisselmann, G.; Hatt, H.; Hummel, T.
Peripheral adaptive filtering in human olfaction? Three studies on prevalence and eects of olfactory training
in specific anosmia in more than 1600 participants. Cortex 2015,73, 180–187. [CrossRef]
87.
Trimmer, C.; Keller, A.; Murphy, N.R.; Snyder, L.L.; Willer, J.R.; Nagai, M.H.; Katsanis, N.; Vosshall, L.B.;
Matsunami, H.; Mainland, J.D. Genetic variation across the human olfactory receptor repertoire alters odor
perception. Proc. Natl. Acad. Sci. 2019,16, 9475–9480. [CrossRef]
88.
Feng, G.; Zhou, W. Nostril-specific and structure-based olfactory learning of chiral discrimination in human
adults. Elife 2019,8, e41296. [CrossRef]
89.
Nagappan, P.G.; Subramaniam, S.; Wang, D.Y. Olfaction as a soldier– a review of the physiology and its
present and future use in the military. Mil. Med. Res. 2017,4, 9. [CrossRef]
90.
Doty, R.L.; Kamath, V. The influences of age on olfaction: A review. Front. Psychol.
2014
,5, 1–20. [CrossRef]
91.
Persaud, K.; Dodd, G. Analysis of discrimination mechanisms in the mammalian olfactory system using a
model nose. Nature 1982,299, 352–355. [CrossRef] [PubMed]
92.
Pelosi, P.; Zhu, J.; Knoll, W. From Gas Sensors to Biomimetic Artificial Noses. Chemosensors
2018
,6, 32.
[CrossRef]
93.
Gardner, J.W.; Bartlett, P.N. A brief history of electronic noses. Sens. Actuators B Chem.
1994
,18, 210–211.
[CrossRef]
94.
Pelosi, P.; Zhu, J.; Knoll, W. Odorant-binding proteins as sensing elements for odour monitoring. Sensors
2018,18, 3248. [CrossRef] [PubMed]
Int. J. Mol. Sci. 2019,20, 3018 16 of 16
95.
Comini, E.; Faglia, G.; Sberveglieri, G.; Pan, Z.; Wang, Z.L. Stable and highly sensitive gas sensors based on
semiconducting oxide nanobelts. Appl. Phys. Lett. 2002,81, 1869–1871. [CrossRef]
96.
Severin, E.J.; Sanner, R.D.; Doleman, B.J.; Lewis, N.S. Dierential Detection of Enantiomeric Gaseous Analytes
Using Carbon Black
Chiral Polymer Composite, Chemically Sensitive Resistors. Anal. Chem.
1998
,70,
1440–1443. [CrossRef] [PubMed]
97.
Wilson, A.D. Review of Electronic-nose Technologies and Algorithms to Detect Hazardous Chemicals in the
Environment. Procedia Technol. 2012,1, 453–463. [CrossRef]
98.
Wojnowski, W.; Dymerski, T.; G ˛ebicki, J.; Namie´snik, J. Electronic Noses in Medical Diagnostics. Curr. Med.
Chem. 2019,26, 197–215. [CrossRef] [PubMed]
99.
Loutfi, A.; Coradeschi, S.; Mani, G.K.; Shankar, P.; Rayappan, J.B.B. Electronic noses for food quality: A review.
J. Food Eng. 2015,144, 103–111. [CrossRef]
100.
Zou, G.; Xiao, Y.; Wang, M.; Zhang, H. Detection of bitterness and astringency of green tea with dierent
taste by electronic nose and tongue. PLoS ONE 2018,13, e0206517. [CrossRef] [PubMed]
101.
Long, Q.; Li, Z.; Han, B.; Gholam Hosseini, H.; Zhou, H.; Wang, S.; Luo, D. Discrimination of Two Cultivars of
Alpinia Ocinarum Hance Using an Electronic Nose and Gas Chromatography-Mass Spectrometry Coupled
with Chemometrics. Sensors 2019,19, 572. [CrossRef] [PubMed]
102.
Chastrette, M.; Cretin, D.; El Aïdi, C. Structure
Odor Relationships: Using Neural Networks in the Estimation
of Camphoraceous or Fruity Odors and Olfactory Thresholds of Aliphatic Alcohols. J. Chem. Inf. Comput.
Sci. 1996,36, 108–113. [CrossRef] [PubMed]
103.
Cherqaoui, D.; Essear, M.; Villemin, D.; Cense, J.-M.; Chastrette, M.; Zakarya, D. Structure-musk odour
relationship studies of tetralin and indan compounds using neural networks. New J. Chem.
1998
,22, 839–843.
[CrossRef]
104.
Wailzer, B.; Klocker, J.; Buchbauer, G.; Ecker, G.; Wolschann, P. Prediction of the Aroma Quality and the
Threshold Values of Some Pyrazines Using Artificial Neural Networks. J. Med. Chem.
2001
,44, 2805–2813.
[CrossRef] [PubMed]
105.
Gabler, S.; Soelter, J.; Hussain, T.; Sachse, S.; Schmuker, M. Physicochemical vs. Vibrational Descriptors for
Prediction of Odor Receptor Responses. Mol. Inform. 2013,32, 855–865. [CrossRef] [PubMed]
106. Lötsch, J.; Kringel, D.; Hummel, T. Machine Learning in Human Olfactory Research. Chem. Senses 2019,44,
11–22. [CrossRef]
107.
Giacalone, D.; Degn, T.K.; Yang, N.; Liu, C.; Fisk, I.; Münchow, M. Common roasting defects in coee:
Aroma composition, sensory characterization and consumer perception. Food Qual. Prefer.
2019
,71, 463–474.
[CrossRef]
108.
S
á
enz-Navajas, M.-P.; Arias, I.; Ferrero-del-Teso, S.; Fern
á
ndez-Zurbano, P.; Escudero, A.; Ferreira, V.
Chemo-sensory approach for the identification of chemical compounds driving green character in red wines.
Food Res. Int. 2018,109, 138–148. [CrossRef]
©
2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
... However, more recent developments in olfaction research describe how odorant molecules containing the same functional groups can have different odor qualities, as well as optical isomers of these compounds, which are chemically and structurally similar optical isomers capable of producing qualitative differences in odor (Genva et al. 2019). ...
... These factors contribute to the complexity of processes involved in odor perception, recognition, and how physiological and biological variations between individual animals and differences between species may at least partially address their olfactory capabilities and limitations (Bamford, 2015;Genva et al. 2019;Mayhew et al. 2022;Scott et al. 2014). Research concerning olfaction capabilities includes how and why odor is perceived, and the creation of odor prediction models based on variables such as chemical structure, hydrophobicity, volatility, and molecular transport capability, but attempts to predict and catalog odors quantitatively have been challenging due to the subjective qualitative differences that exist in odor perception, the behavior and availability of odor molecules interacting at olfactory receptor sites, and theories ...
... proposing barriers to odor perception that are still not fully understood (Genva et al. 2019;Mayhew et al. 2022). ...
Preprint
Previous studies have demonstrated that human remains detection canines (HRD K9s) are capable of odor discrimination of human and animal remains, however no prior research has been performed to determine whether HRD K9s can be trained odor discrimination of human remains from multiple individuals and to indicate on only those remains belonging to a specific individual. This study implemented a novel canine training program to determine the ability of a canine to perform a match-to-sample (HRD-MTS) task for human remains sourced from eight individual cadavers and followed by a validation test to determine the efficacy of training for this task. The HRD- MTS training program included odor discrimination and individuation of human remains and consisted of a total of 95 exercises where 89 qualified and resulted in a score of 91% for effectiveness of the training program. The validation test included known and single- blind trials using sample sets of human remains from cadavers that differed from those in the training program, and in combined trials using samples from all eight cadavers, blank negative controls, and positive controls. The validation test consisted of 20 trials where the canine performed 19 successfully and resulted in a score of 98.5% for canine performance reliability. The development of this method may save time and expense by assisting identification efforts in forensic and mass casualty settings.
... It is speculated that the more prominent perception of food odours in MEE sensory tests may be attributed to several key factors. Food odour are typically volatile organic compounds (VOCs) [31] that may vaporize more readily at room temperature, allowing them to disperse quickly and reach olfactory receptors more efficiently. Moreover, food odors are composed of a wide variety of chemical structures, including esters, aldehydes, ketones, alcohols, and sulfur compounds [31]. ...
... Food odour are typically volatile organic compounds (VOCs) [31] that may vaporize more readily at room temperature, allowing them to disperse quickly and reach olfactory receptors more efficiently. Moreover, food odors are composed of a wide variety of chemical structures, including esters, aldehydes, ketones, alcohols, and sulfur compounds [31]. This diversity might result in a broader range of sensory signals, potentially making food odors more distinctive and easier to identify compared to simpler, single-compound odors. ...
... Some associations have been discovered. For example, a few specific chemical groups are associated with characteristic odors, e.g., esters typically smell fruity and floral 3 , and larger and more complex molecules tend to smell more pleasant than smaller and less complex ones 4,5 . However, only very few of such general rules exist. ...
Article
Full-text available
The molecular structure of an odor determines whether and how it is perceived by humans. However, the principles of how odorant chemistry links to perceptual patterns remain largely unknown and are primarily studied using odor rating datasets from highly trained olfactory experts, such as perfumers. This limits our knowledge of typical odor perception and its variability over individuals. We provide a dataset featuring free descriptions, evaluative ratings, and qualitative labels for 74 chemically diverse mono-molecular odorants, rated by a large sample of young adults. A total of 1,227 participants described and rated the odors, and completed questionnaires covering their demographic background, personality traits, and the role of olfaction in their daily lives. The dataset offers a valuable foundation for research aimed at understanding the fundamentals of olfactory perception.
... These include also genetics, and in particular to genes, which are at the root of this variability. Olfactory acuity depends on the presence of olfactory receptor genes and pseudogenes (Genva et al., 2019). If certain olfactory receptors develop, they are able to detect the compounds involved in boar taint. ...
Article
Using genetic selection for raising intact boars, which improves growth and feed efficiency, is a promising alternative to castration for mitigating boar taint. Selective breeding has the potential to help to identify and select for genetic lines with a reduced risk of boar taint. Common phenotypes are laboratory measurements of skatole (SKA) and androstenone (ANON) i.e., the major compounds responsible for boar taint, in backfat. However, an alternative exists: sensory evaluation by human assessors. The objectives of this study were (1) to estimate the genetic relationships among sensory scores (SENS) obtained by different assessors, (2) to correlate these scores with SKA and ANON, (3) to establish the independence of SENS from the causal traits, here SKA and ANON, by recursive modeling, holding those constant, and (4) to combine different assessors to allow an efficient selection against boar taint. Data included up to 1016 records of SKA, ANON and SENS (0 to 5) from 10 trained assessors on the backfat of intact males reared at least until puberty at three performance testing stations testing the products of Pietrain × commercial crossbred sows. Genetic parameters were estimated using restricted estimate maximum likelihood. Traits SKA and ANON were log (base 10) transformed (SKAt and ANONt) and SENS traits were Snell transformed SENS (SENSt). Heritability estimates were 0.52 for SKAt and 0.53 for ANONt, those for SENSt ranged from 0.07 to 0.30. Moderate to high genetic correlations between some SENSt and SKAt (up to 0.87) and ANONt (up to 0.61) were found. Heritabilities and correlations indicated that some SENSt could be used to select against boar taint. Studying the independence of SENSt from SKAt and ANONt based on a posteriori recursive model revealed a large range of reductions of genetic variance: up to 71.08 %. However, some SENSt remained moderately heritable (0.04 to 0.19) indicating independent genetic variance from SKAt and ANONt. This reflects that some heritable compounds potentially not related to SKA or ANON are perceived. Finally, the combination of assessors allowed, here shown with three assessors, to obtain a high heritability of 0.40, associated to high genetic and phenotypic correlations. Moreover, these results demonstrate the potential of using the sensory scores of several trained assessors for selection against boar taint.
... In the last few years, enormous progress has been made in automated odor prediction [14][15][16][17][18][19][20][21][22][23] . The most widely utilized methods vary between different machine-learning algorithms like decision trees, Random Forests (RF), graph-based approaches, and linear methods. ...
Article
Full-text available
Aroma compositions are usually complex mixtures of odor-active compounds exhibiting diverse molecular structures. Due to chemical interactions of these compounds in the olfactory system, assessing or even predicting the olfactory quality of such mixtures is a difficult task, not only for statistical models, but even for trained assessors. Here, we combine fast automated analytical assessment tools with human sensory data of 11 experienced panelists and machine learning algorithms. Using 16 previously analyzed whisky samples (American or Scotch origin), we apply the linear classifier OWSum to distinguish the samples based on their detected molecules and to gain insights into the key molecular structure characteristics and odor descriptors for sample type. Moreover, we use OWSum and a Convolutional Neural Network (CNN) architecture to classify the five most relevant odor attributes of each sample and predict their sensory scores with promising accuracies (up to F1: 0.71, MCC: 0.68, ROCAUC: 0.78). The predictions outperform the inter-panelist agreement and thus demonstrate previously impossible data-driven sensory assessment in mixtures.
... Volatile organic compounds (VOCs) are low-molecular-weight carbon-containing substances that possess high vapour pressure and hydrophobicity, which are commonly referred to as odorant molecules. [17] These molecules arise primarily from chemicals that volatilise at room temperature and enter the nose, but their odour intensity cannot be determined by vapour pressure measurement. Organic and inorganic compounds can both cause odour, indicating that odorant molecules are not solely carbon-containing substances. ...
Article
Full-text available
Halitosis, commonly known as oral malodor, is a multifactorial health concern that significantly impacts the psychological and social well-being of individuals. It is the third most frequent reason for individuals to seek dental treatment, after dental caries and periodontal diseases. For an in-depth exploration of the topic of halitosis, an extensive literature review was conducted. The review focused on articles published in peer-reviewed journals and only those written in the English language were considered. The search for relevant literature began by employing subject headings such as ‘halitosis, oral malodor, volatile sulfur compounds, artificial intelligence, and olfaction’ in databases such as PubMed/Medline, Scopus, Google Scholar, Web of Science, and EMBASE. Additionally, a thorough hand search of references was conducted to ensure the comprehensiveness of the review. After amalgamating the search outcomes, a comprehensive analysis revealed the existence of precisely 134 full-text articles that bore relevance to the study. Abstracts and editorial letters were excluded from this study, and almost 50% of the full-text articles were deemed immaterial to dental practice. Out of the remaining articles, precisely 54 full-text articles were employed in this review. As primary healthcare providers, dentists are responsible for diagnosing and treating oral issues that may contribute to the development of halitosis. To effectively manage this condition, dentists must educate their patients about the underlying causes of halitosis, as well as proper oral hygiene practices such as tongue cleaning, flossing, and selecting appropriate mouthwash and toothpaste. This narrative review summarises all possible AI olfaction in halitosis.
Article
In fragrance development, the framework development process is a bottleneck from the perspective of labor, cost, and human resource development. Odors vary greatly depending on the structure and functional groups of the molecule. Although odor has been predicted from only the structure of molecules, its practical application remains elusive. In this study, we developed a model for predicting the odor of molecules that have only small differences in structure. Focusing on the mechanism of human olfaction, we divided the mechanism into three levels and constructed three models: a classification model that predicts the presence or absence of binding between molecules and olfactory receptors, a regression model that predicts the strength of binding, and a classification model that predicts the presence or absence of odor based on the strength of binding. Olfactory receptors were used as descriptors to discriminate between similar molecular odors. Our models predicted odor differences between some similar molecules, including optical isomers.
Article
Full-text available
The olfactory system, composed of the olfactory organs and the olfactory bulb, allows organisms to interact with their environment and through the detection of odor signals. Olfaction mediates behaviors pivotal for survival, such as feeding, mating, social behavior, and danger assessment. The olfactory organs are directly exposed to the milieu, and thus are particularly vulnerable to damage by environmental pollutants and toxicants, such as heavy metals, pesticides, and surfactants, among others. Given the widespread occurrence of olfactory toxicants, there is a pressing need to understand the effects of these harmful compounds on olfactory function. Zebrafish (Danio rerio) is a valuable model for studying human physiology, disease, and toxicity. Additionally, the anatomical components of the zebrafish olfactory system are similar to those of other vertebrates, and they present a remarkable degree of regeneration and neuroplasticity, making it an ideal model for the study of regeneration, reorganization and repair mechanisms following olfactory toxicant exposure. In this review, we focus on (1) the anatomical, morphological, and functional organization of the olfactory system of zebrafish; (2) the adverse effects of olfactory toxicants and injury to the olfactory organ; and (3) remodeling and repair neuroplasticity mechanisms following injury and degeneration by olfactory toxicant exposure.
Article
Full-text available
Although the view that women's olfactory abilities outperform men's is taken for granted, some studies involving large samples suggested that male and female olfactory abilities are actually similar. To address this discrepancy, we conducted a meta-analysis of existing studies on olfaction, targeting possible sex differences. The analyzed sample comprised n = 8 848 (5 065 women and 3 783 men) for olfactory threshold (as measured with the Sniffin Sticks Test; SST), n = 8 067 (4 496 women and 3 571 men) for discrimination (SST), n = 13 670 (7 501 women and 6 169 men) for identification (SST), and a total sample of n = 7 154 (3 866 women and 3 288 men) for works using University of Pennsylvania Smell Identification Test (UPSIT). We conducted separate meta-analyses for each aspect of olfaction: identification, discrimination and threshold. The results of our meta-analysis indicate that women generally outperform men in olfactory abilities. What is more, they do so in every aspect of olfaction analyzed in the current study. However, the effect sizes were weak and ranged between g = 0.08 and g = 0.30. We discuss our findings in the context of factors that potentially shape sex differences in olfaction. Nevertheless, although our findings seem to confirm the “common knowledge” on female olfactory superiority, it needs to be emphasized that the effect sizes we observed were notably small.
Article
Full-text available
Odor information is transmitted from olfactory sensory neurons to principal neurons at the glomeruli of the olfactory bulb. The intraglomerular neuronal circuit also includes hundreds of interneurons referred to as juxtaglomerular (JG) cells. Stimulus selectivity is well correlated among many JG cells that are associated with the same glomerulus, consistent with their highly homogeneous sensory inputs. However, much less is known about the temporal aspects of their activity, including the temporal coordination of their odor-evoked responses. As many JG cells within a glomerular module respond to the same stimulus, the extent to which their activity is temporally aligned will affect the temporal profile of their population inhibitory inputs. Using random-access high-speed two-photon microscopy, we recorded the odor-evoked calcium transients of mouse JG cells and compared the onset latency and rise time among neurons putatively associated with the same and different glomeruli. Whereas the overall onset latencies of odor-evoked transients were distributed across a ∼150 ms time window, those from cells putatively associated with the same glomerulus were confined to a much narrower window of several tens of milliseconds. This result suggests that onset latency primarily depends on the associated glomerulus. We also observed glomerular specificity in the rise time. The glomerulus-specific temporal pattern of odor-evoked activity implies that the temporal patterns of inputs from the intraglomerular circuit are unique to individual glomerulus-odor pairs, which may contribute to efficient shaping of the temporal pattern of activity in the principal neurons.
Article
Full-text available
Dynamical changes in the environment strongly impact our perception. Likewise, sensory systems preferentially represent stimulus changes, enhancing temporal contrast. In olfaction, odor concentration changes across consecutive inhalations (ΔCt ) can guide odor source localization, yet the neural representation of ΔCt has not been studied in vertebrates. We have found that, in the mouse olfactory bulb, a subset of mitral/tufted (M/T) cells represents ΔCt , enhancing the contrast between different concentrations. These concentration change responses are direction selective: they respond either to increments or decrements of concentration, reminiscent of ON and OFF selectivity in the retina. This contrast enhancement scales with the magnitude, but not the duration of the concentration step. Further, ΔCt can be read out from the total spike count per sniff, unlike odor identity and intensity, which are represented by fast temporal spike patterns. Our results demonstrate that a subset of M/T cells represents ΔCt , providing a signal that may instruct navigational decisions in downstream olfactory circuits.
Article
Full-text available
Background: Alpinia officinarum Hance is both an herbal medicine and a condiment, and generally has different cultivars such as Zhutou galangal and Fengwo galangal. The appearance of these A. officinarum cultivars is similar, but their chemical composition and quality are different. It is therefore important to discriminate between different A. officinarum plants to ensure the consistency of the efficacy of the medicine. Therefore, we used an electronic nose (E-nose) to explore the differences in odor information between the two cultivars for fast and robust discrimination. Methods: Odor and volatile components of all A. officinarum samples were detected by the E-nose and gas chromatography-mass spectrometry (GC-MS), respectively. The E-nose sensors and GC-MS data were analyzed respectively by principal component analysis (PCA), the correlation between E-nose sensors and GC-MS data were analyzed by partial least squares (PLS). Results: It was found that Zhutou galangal and Fengwo galangal can be discriminated by combining the E-nose with PCA, and the E-nose sensors S2, S6, S7, S9 were important sensors for distinguishing different cultivars of A. officinarum. A total of 56 volatile components of A. officinarum were identified by the GC-MS analysis, and the composition and content of the volatile components from the two different A. officinarum cultivars were different, in particular the relative contents of 1,8-cineole and α-farnesene. The classification result by PCA analysis based on GC-MS data was consistent with the E-nose results. The PLS analysis demonstrated that the volatile terpene, alcohol and ester components primarily interacted with the sensors S2 and S7, indicating that particular E-nose sensors were highly correlated with some aroma constituents. Conclusions: Combined with advanced chemometrics, the E-nose detection technology can discriminate two cultivars of A. officinarum, with GC-MS providing support to determine the material basis of the E-nose sensors’ response.
Article
Full-text available
Practice makes perfect. In human olfaction, such plasticity is generally assumed to occur at the level of cortical synthetic processing that shares information from both nostrils. Here we present findings that challenge this view. In two experiments, we trained human adults unirhinally for the discrimination between odor enantiomers over a course of about 10 to 11 days. Results showed that training-induced perceptual gain was restricted to the trained nostril yet partially generalized to untrained odor enantiomers in a structure- rather than quality- based manner. In other words, learning enhanced the differentiation of chirality (molecular configuration) as opposed to overall odor quality (odor object) per se. These findings argue that, unlike earlier beliefs, one nostril does not readily know what the other learns. Moreover, the initial analytical processing of the structural features of uninarial olfactory input remains plastic in human adults.
Book
The Springer Handbook of Odor is the definitive guide to all aspects related to the study of smell and their impact on human life. For the first time, this handbook aligns the senso-chemo-analytical characterization of everyday smells encountered by mankind, with the elucidation of perceptual, hedonic, behavioral and physiological responses of humans to such odors. From birth onwards we learn to interact with our environment using our sense of smell. Moreover, evolutionary processes have engendered a multi-faceted communication that is supported – even dominated – by olfaction. This compilation examines the responses of humans to odors at different stages of life, thereby building a foundation for a widely overseen area of research with broader ramifications for human life. The expert international authors and editor align aspects, concepts, methodologies and perspectives from a broad range of different disciplines related to the science of smell. These include chemistry, physiology, psychology, material sciences, technology but also disciplines related to linguistics, culture, art and design. This handbook, edited by an internationally renowned aroma scientist with the support of an outstanding team of over 60 authors, is an authoritative reference for researchers in the field of odors both in academia and in industry and is also a useful reference for newcomers to the area.
Chapter
The human organs of perception are constantly bombarded with chemicals from the environment. Our bodies have in turn developed complex processing systems, which manifest themselves in our emotions, memory, and language. Yet the available data on the high order cognitive implications of taste and smell are scattered among journals in many fields, with no single source synthesizing the large body of knowledge, much of which has appeared in the last decade. This book presents the first multidisciplinary synthesis of the literature in olfactory and gustatory cognition. Leading experts have written chapters on many facets of taste and smell, including odor memory, cortical representations, psychophysics and functional imaging studies, genetic variation in taste, and the hedonistic dimensions of odors. The approach is integrative, combining perspectives from neuroscience, psychology, anthropology, philosophy, and linguistics, and is appropriate for students and researchers in all of these areas who seek an authoritative reference on olfaction, taste, and cognition.
Article
Humans use a family of more than 400 olfactory receptors (ORs) to detect odors, but there is currently no model that can predict olfactory perception from receptor activity patterns. Genetic variation in human ORs is abundant and alters receptor function, allowing us to examine the relationship between receptor function and perception. We sequenced the OR repertoire in 332 individuals and examined how genetic variation affected 276 olfactory phenotypes, including the perceived intensity and pleasantness of 68 odorants at two concentrations, detection thresholds of three odorants, and general olfactory acuity. Genetic variation in a single OR was frequently associated with changes in odorant perception, and we validated 10 cases in which in vitro OR function correlated with in vivo odorant perception using a functional assay. In 8 of these 10 cases, reduced receptor function was associated with reduced intensity perception. In addition, we used participant genotypes to quantify genetic ancestry and found that, in combination with single OR genotype, age, and gender, we can explain between 10% and 20% of the perceptual variation in 15 olfactory phenotypes, highlighting the importance of single OR genotype, ancestry, and demographic factors in the variation of olfactory perception.