Electrospray ionization mass spectrometry fingerprinting of beer.
ABSTRACT After just simple degassing, dilution, pH adjustment and direct flow injection, characteristic fingerprint spectra of beer samples have been obtained by fast (few seconds) electrospray ionization mass spectrometry (ESI-MS) analysis in both the negative and positive ion modes. A total of 29 samples belonging to the two main beer types (lagers and ales) and several beer subtypes from USA, Europe and Brazil could be clearly divided into three groups both by simple visual inspection of their ESI(+)-MS and ESI(-)-MS fingerprints as well as by chemometric treatment of the MS data. Diagnostic ions with contrasting relative abundances in both the positive and negative ion modes allow classification of beers into three major types: P = pale (light) colored (pilsener, pale ale), D = dark colored (bock, stout, porter, mild ale) and M = malt beer. For M beers, samples of a dark and artificially sweetened caramel beer produced in Brazil and known as Malzbiers were used. ESI-MS/MS on these diagnostic beer cations and anions, most of which are characterized as arising from ionization of simple sugars, oligosaccharides, and iso-alpha-acids, yield characteristic tandem mass spectra adding a second and optional MS dimension for improved selectivity for beer characterization by fingerprinting. Direct ESI-MS or ESI-MS/MS analysis can therefore provide fast and reliable fingerprinting characterization of beers, distinguishing between types with different chemical compositions. Other unusual polar components, impurities or additives, as well as fermentation defects or degradation products, could eventually be detected, making the technique promising for beer quality control.
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ABSTRACT: Direct infusion electrospray ionization mass spectrometry in the positive ion mode [ESI(+)-MS] is used to obtain fingerprints of aqueous-methanolic extracts of two types of olive oils, extra virgin (EV) and ordinary (OR), as well as of samples of EV olive oil adulterated by the addition of OR olive oil and other edible oils: corn (CO), sunflower (SF), soybean (SO) and canola (CA). The MS data is treated by the partial least squares discriminant analysis (PLS-DA) protocol aiming at discriminating the above-mentioned classes formed by the genuine olive oils, EV (1) and OR (2), as well as the EV adulterated samples, i.e. EV/SO (3), EV/CO (4), EV/SF (5), EV/CA (6) and EV/OR (7). The PLS-DA model employed is built with 190 and 70 samples for the training and test sets, respectively. For all classes (1-7), EV and OR olive oils as well as the adulterated samples (in a proportion varying from 0.5 to 20.0% w/w) are properly classified. The developed methodology required no ions identification and demonstrated to be fast, as each measurement lasted about 3 min including the extraction step and MS analysis, and reliable, because high sensitivities (rate of true positives) and specificities (rate of true negatives) were achieved. Finally, it can be envisaged that this approach has potential to be applied in quality control of EV olive oils. Copyright © 2013 John Wiley & Sons, Ltd.Biological Mass Spectrometry 10/2013; 48(10):1109-1115. · 3.41 Impact Factor
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ABSTRACT: Direct infusion of samples via electrospray ionization mass spectrometry (ESI-MS) is shown to characterize unequivocally genuine samples of Amazonian Aniba rosaeodora Ducke (Rosewood) essential oils obtained either from the wood or leafs. The ESI-MS also distinguishes the essential oils from synthetic linalool; hence, adulteration by the synthetic oil is also clearly detected. The analysis requires no pretreatment or preseparation, and the most polar components of the essential oil are extracted with an acidified 1:1 methanol/water solution. This simple extract is then analyzed by direct infusion ESI-MS in the positive ion mode, which provides characteristic fingerprintings of the sample composition. The ESI-MS fingerprinting can be used therefore as a simple and fast (few minutes) method for authenticity and quality control of this famous Amazonian essential oil.Analytical Letters 10/2011; 44(15):2417. · 0.97 Impact Factor
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ABSTRACT: Sucrose–aspartic acid Maillard product (SAA-MP) is the major colourant of distillery effluent as environmental pollutant due to its recalcitrant nature. Three potential manganese peroxidase (MnP) producing bacteria were screened for higher SAA-MP tolerance (3200 mg/l) and characterized as Bacillus species (IITRM7, FJ581030), Raoultella planticola (IITRM15, GU329705) and Enterobacter sakazakii (IITRM16, FJ581031). The consortium of these bacteria showed maximum decolourisation (60%) of SAA-MP (2400 mg/l) in modified GPYM medium at optimized nutrient, pH (7.0 ± 0.2), shaking speed (180 rpm) and temperature (35 ± 2 °C) after 144 h incubation. The addition of d-xylose enhanced the decolourisation of SAA-MP from 60 to 75% along with reduction of BOD and COD. The electrospray ionization-mass spectrum (ESI-MS) analysis showed removal of various compounds after bacterial growth and decolourisation of SAA-MP. Formation of new products showed metabolization of SAA-MP. Thus this consortium might be useful for decolourisation of industrial wastewater containing high concentration of melanoidins. d-xylose could be used as biostimulator for this consortium during decolourisation of SAA-MP.PROCESS BIOCHEMISTRY 09/2011; 46(9):1774–1784. · 2.41 Impact Factor
Concours d'ingénieur de laboratoire
du ministère de l’économie, de l’industrie et de l’emploi
et du ministère du budget,
des comptes publics et de la fonction publique
des 16 et 17 septembre 2008
SPECIALITE CHIMIE ANALYTIQUE
ÉPREUVE N° 3
Traduction d’un document technique rédigé en langue anglaise ;réponses en langue anglaise à
des questions portant sur les documents..
(durée 2 h - coefficient 2)
Cette épreuve comporte 5 pages.
1 - Traduire les deux premiers paragraphes de l’introduction figurant dans l’encadré.
2 - Questions
Give a concise summary of the main idea of the text – no more than a hundred words.
Give one of the advantages of electrospray ionization mass spectrometry.
What are the characteristics of an ESI(+) mass spectrum representative of malt “Malzbier” beer?
Electrospray ionization mass spectrometry fingerprinting of beer
Alexssander S. Araújo, Lilian L. da Rocha, Daniela M. Tomazela, Alexandra C. H. F. Sawaya,
Reinaldo R. Almeida, Rodrigo R. Catharino and Marcos N. Eberlin
First published as an Advance Article on the web 11th April 2005
Electrospray (ESI) is a soft and wide-ranging ionization technique that has revolutionized the way molecules are ionized and
transferred to mass spectrometers for mass measurement and structural characterization. ESI has greatly expanded the applicability
of mass spectrometry to a variety of new classes of molecules with thermal instability, high polarity and mass. Direct injection ESI-
MS has also been shown to be suitable for fast fingerprinting of complex mixtures such as plant extracts, propolis, wine and whisky.
ESI, with direct sample introduction, is likely therefore to be a convenient technique for fingerprinting and fast quality control of beer
with very little, simple sample manipulation and direct injection into a mass spectrometer. This is so because key components of the
blend of beer organic compounds bear acidic or basic sites that are therefore likely to be detected by direct injection ESI-MS as
either protonated or deprotonated molecules and form a set of diagnostic beer ions. Tandem MS/MS with collision-induced
dissociation (CID) of such diagnostic ions could also be used to add a second MS dimension in very selective beer fingerprinting,
allowing for the structural characterization of the precursor molecules.
Sensory properties such as taste, smell and sight are unique characteristics of food and drinks. These properties are
multivariate for they involve a combination of sensations, which are useful for classification, but are also subjective and can lead to
evaluation and classification errors. Fast and objective instrumental analytical measurements, such as the ESI-MS fingerprinting
method exemplified herein for beer, represent an attractive alternative for quality control of foods and drinks, particularly when
associated with multivariate statistics. These statistics provide a set of tools that help deal with the complexities and subtleties
confronted in the characterization and sensory classification process. Treating two or more variables simultaneously requires the
use of the mathematical apparatus of matrix algebra. Techniques such as principal component analysis (PCA) can serve to order
known samples and have been applied to MS data to classify unknown samples.
In this work, ESI-MS with direct flow injection is tested as a fast method (a few seconds) for the fingerprint characterization and
quality control of beer samples. Samples of internationally famous brands belonging to the two main types (ales and lagers) and of
several subtypes of beers from USA, Europe and Brazil were analyzed. These beer samples produce characteristic ESI-MS data in
both the positive and negative ion modes. Both simple visual inspection and chemometric treatment of data place the samples in
three distinct groups owing to very diagnostic (marker) ions.
Twenty-nine samples of beer (Table 1) belonging to the two main types (ales and lagers) and several beer subtypes (pilsener, pale
ales, bock, stout, porter, mild ale, malt) from USA, Europe, and Brazil were analyzed by ESI-MS in both positive and negative ion
modes. For malt beer, samples of a dark and artificially sweetened malt (caramel) Brazilian beer known as Malzbiers were used.
General experimental procedures
A Q-TOF mass spectrometer (Micromass, Manchester, UK) was used for fingerprint ESI-MS analysis. Typical ESI-MS conditions
were: source temperature 100 ° C, desolvation temper ature 120 ° C, capillary voltage 3.0 kV and cone vol tage 40 V. The beer
samples (250.0 µL) were degassed in order to eliminate CO2, and diluted in a flask with a 1:1 solution of water: methanol up to a
final volume of 1.0 mL. Formic acid (2 µL) was added to each sample for the positive ion mode ESI(+)-MS analysis whereas 2 µL of
ammonium hydroxide were added for the negative ion mode ESI(–)-MS analysis. The samples were injected at a flow rate of 15 µL
min-1 using a syringe pump (Harvard Apparatus). Mass spectra were acquired over a 50–1000 m/z range.
Statistical data treatment
To classify the beer samples after ESI-MS fingerprint analysis, principal component analysis (PCA) was performed on the respective
ESI-MS results. Data matrixes were constructed using the information of the mass spectra obtained in both ESI(+)-MS and ESI(–)-
MS modes. Ions producing the 20 major peaks in the MS of each of the 29 samples analyzed were selected as the variables.
Exploratory data analysis was applied to the data matrix constituted of the 29 samples (as rows) and this group of variables (as
columns). Einsight and Pirouette, both from Infometrix (Seattle, WA), were used to perform the Principal Component Analysis (PCA)
using Mean Centering as data pre-treatment.
Results and discussion
As exemplified by the mass spectra shown in Figs. 1 and 2, simple visual inspection of all 29 mass spectra obtained in both the
positive and negative ESI ion modes reveals 3 very characteristic groups that directly correspond to the three major types of beers:
P = pale (light) colored (pilsener, lager, pale ales),
M = malt ‘‘Malzbier’’ beers. Principal component chemometric analysis of both the ESI(+)-MS and ESI(–)-MS data
(Fig. 3A and B) also clearly divide the samples into the same P, D, and M groups, confirming the clear but subjective visual
interpretation of the ESI-MS fingerprints.
D = dark colored (bock, stout, mild ale) and
Fig. 1A shows an ESI(+) mass spectrum very typical of P beers, with intense ‘‘beer cations’’ in the m/z range of 70 to 705
corresponding to sodium [M + Na]+ and potassium [M + K]+ adducts. Since these adducts are known to be quite resistant towards
dissociation, each ion is likely to represent a single component of the mixture and not fragments of other heavier ions. A series of
major cations correspond to [M + Na]+ and [M + K]+ adducts of maltose (m/z 365 and 381), maltotriose (m/z 527 and 543) and
maltotetrose (m/z 689 and 705), as indicated by their tandem MS spectra and comparison with reported data. Therefore, as these
oligosaccharides are not totally consumed during fermentation, they form diagnostic cationized molecules for ESI-MS typification of
P beers. The [M + K]+ adduct of glucose of m/z 219 constitutes, however, a very minor ion which corresponds to the expectation that
most glucose is consumed during fermentation of P beers with their characteristic bitter taste. Another diagnostic and major cation
for P beers is that of m/z 325, and ESI-MS/MS shows this is likely the [M + K]+ adduct of a dimer of anhydrohexose.
Fig. 1B shows an ESI(+) mass spectrum typical of M beers. As the result of artificial sweetening, by far the most diagnostic
cations for the M beers are clearly the ones corresponding to the [M + Na]+ and [M + K]+ adducts of glucose of m/z 203 and 219, and
the [M + K]+ adduct of sucrose of m/z 399. These intense and diagnostic cationized glucose molecules indicate a beer additive, that
is, caramel malt responsible for the pronounced sweet taste and some of the dark color characteristic of Brazilian caramel
‘‘Malzbier’’ types of beer.
Fig. 1C shows a ESI(+) mass spectrum typical of D beers. Their fingerprint mass spectra is, in general, rather similar to that of
P beers, except mainly for the considerably more intense ion of m/z 219 that is clearly seen in such a spectrum. As for the M beers,
this cation is likely the [M + K]+ adduct of glucose indicating some degree of caramel coloring and sweetening, as normally observed
for dark beers. Another interesting and characteristic feature of the D beers is that only the [M + K]+ of the oligosaccharides (and not
the [M + Na]+ adducts of m/z 365, 527 and 689 as seen in Fig. 1A) are clearly seen as the cations of m/z 381, 543 and 705 (Fig.
1C). Direct infusion ESI(+)-MS seems therefore to be able to reveal, by comparison, distinct [K+]/[Na+] concentration ratios in P and
D beers. Also diagnostic but not so abundant for the D beers are the cations of m/z 165 and 179.
Fig. 2A shows an ESI(–) mass spectrum typical of P beers. Relatively intense and characteristic ‘‘beer anions’’ are seen in the m/z
range from 79 to 925 corresponding to deprotonated [M – H]– molecules. Since such ions were accelerated from the ESI source to
the MS using relatively low kinetic energies to avoid dissociation, the ion current is expected to represent intact molecules in their
deprotonated forms rather than fragment ions. Anions of m/z 161, 179, 341, 503, 665 and 827 are likely the [M – H]– forms of
anhydrohexose, glucose, maltose, maltotriose, maltotetrose and maltopentose, respectively, as also indicated by ESI-MS/MS and
comparison with reported data. Pairs of anions of m/z 377 and 379, 539 and 541, 701 and 703 are likely the chloride adducts (typical
isotopic pattern for the 35Cl and 37Cl isotologues) of maltose, maltotriose, and maltotetrose, as previously suggested. Other
characteristic and intense anions of P beers are those of m/z 79, 97, 128, 191, 259, 439, 601 and 763. The ions of m/z 439, 601,
763, and 925 most likely indicate the presence of unfermentable higher oligosaccharides with a ∆m/z of 162 (C6H10O5)n. The
concentrations of these oligosaccharides vary from beer to beer. Lower kiln temperatures during malting produce more dextrins and
less sugar, whereas higher temperatures produce less dextrins and more sugars.
Also noteworthy in the ESI(–) mass spectrum of Fig. 2A is the detection of the minor but relevant anions of m/z 347 and 361.
These anions correspond to the deprotonated forms of two major iso-alpha-acids responsible for the bitter taste of beer, also playing
an essential role in foam stability. Direct infusion ESI(–)-MS analysis, particularly when using selective ion monitoring (SIM), may
therefore also serve as a very fast method to control, compare or roughly quantitate levels of these important components in beer
Fig. 2B shows an ESI(–)-MS spectrum representative of M beers. Similarly to what is revealed by ESI(+)-MS (sodium adduct of
m/z 219 in Fig. 1B), deprotonated glucose of m/z 179 is by far the major anion detected (base peak) followed by the pair of
isotopologue chloride adducts of glucose of m/z 215 and 217. As in the positive ion mode, caramel malt addition is the most likely
source of glucose molecules. Other diagnostic anions for M beers are those of m/z 89 and 359.
Fig. 2C shows an ESI(–)-MS spectrum representative of the D beers. Many of the major anions seen for the P beers are also
present in the fingerprint spectra of the D beers, but the two anions of m/z 161 and 179 are clearly distinguishing. As for the P beers,
the anion of m/z 161 is likely the deprotonated molecule of anhydroxexose. As for the M beers, the ion of m/z 179 is the
deprotonated molecule of glucose again indicating some degree of artificial sweetening by caramel malt addition. Another rather
characteristic anion for D beers is that of m/z 255.
PCA data treatment was also performed for the ESI-MS fingerprint mass spectra, to test its performance for statistical beer
classification and quality control.
Fig. 3A shows a scatter plot of PC1 versus PC2 from the data matrix obtained from ESI(+)-MS data. The three types of beers
are very clearly grouped. P beers are placed on the upper right side whereas the D (upper) and M beers (bottom) are grouped on
the left side. Similarly for the ESI(–)-MS data (Fig. 3B), PCA analysis also clearly places the three types of beers in very well-defined
groups. In the PC1 versus PC2 plot for the ESI(–)-MS data, the P beers are again on the upper right side whereas the D beers
(upper) and M beers (bottom) are on the left side.