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1
COMPARISON OF BIOFILM DEVELOPMENT ON THREE BUILDING AND
RESTORATION STONES USED IN FRENCH MONUMENTS
Stéphanie Eyssautier-Chuine
a *
, Nathalie Vaillant-Gaveau
b
, Emilie Charpentier
c
, Fany Reffuveille
c
a
Groupe d’Étude sur les Géomatériaux et les Environnements Naturels Anthropiques et
Archéologiques EA 3795 (GEGENAA) - SFR Condorcet FR CNRS 3417 – 2, Esplanade Roland
Garros, Université de Reims Champagne-Ardenne (URCA), 51100 cedex, Reims, France.
*
Correponding author: stephanie.eyssautier@univ-reims.fr
b
Unité de Recherche EA 4707 Résistance Induite et Bioprotection des Plantes (RIBP), SFR Condorcet
FR CNRS 3417, UFR Sciences Exactes et Naturelles, Université de Reims Champagne-Ardenne,
Reims, France. nathalie.gaveau@univ-reims.fr
c
Biomatériaux et Inflammation en Site Osseux EA 4691 (BIOS), U.F.R. Pharmacie, 51, rue Cognacq
Jay, Université de Reims Champagne-Ardenne (URCA), 51095 Reims Cedex, France.
fany.reffuveille@univ-reims.fr
Abstract
This study investigated the bioreceptivity of two Lutetian limestones (Courville and Ditrupa), mainly
used in the north-eastern region of France, and of their restoration stone (Savonnieres). Samples of the
three stones were exposed outdoor for 2.5 years to determine if the replacement of Lutetian stones by
Savonnieres was relevant regarding their intrinsic properties and their susceptibility to microbial
colonisation. Cultivation assays revealed the presence of similar strains for all stones, but the number
of bacteria changed and reached 703.5 CFU/cm
2
for Courville, 964.5 CFU/cm
2
for Ditrupa and 254.8
CFU/cm
2
for Savonnieres. A significant colour change of the surfaces was noticed during the first
winter, especially for Savonnieres (ΔE
*ab
= 18.3). It was associated with a net increase of the chl. a
fluorescence and of the pigment content, which suggested a clear growth of phototrophic
microorganisms. The Hg porosimetry showed that the porous network of Courville was only slightly
impacted by biocolonisation, in contrast to Ditrupa and Savonnieres, where the macropores were
obstructed. Savonnieres stone had a weaker bioreceptivity for bacteria than Lutetian stones, but it
strongly promoted the colonisation by other microorganisms which could induce more severe
bioweathering than on the Lutetian stones.
Highlights:
- The bioreceptivity of two Lutetian limestones and of their restoration stone was compared.
- Lutetian stones showed high bacterial growth but a low phototrophic development.
- The replacement stone developed weak bacterial growth but the highest biocolonisation by
photosynthetic microorganisms.
- The microporosity of stones seemed to promote bacterial growth, whereas in the macropores,
phototrophs developed.
Keywords:
Stone monuments, bioreceptivity, bacteria, phototrophs, porosity.
2
1. Introduction
The selection of a stone to erect prestigious buildings and religious edifices has always been
conducted by an aesthetic criterion, the availability of the material and its physical characteristics to
support mechanical stresses (Přikryl and Török, 2010). Basements were often built in hard stones to
limit water infiltration, whereas frameworks and sculptures were made in soft stones (Siegesmund and
Török, 2014). The conservation of cultural heritage (CH) consists of keeping intact objects and
buildings over time, which has always been a real challenge particularly for outdoor CH, where the
degradation of natural materials depends on the climatic conditions and human activity. In a
monument, all stones are not subjected to the same weathering processes because of their intrinsic
properties (mineralogical and chemical composition, petrophysical and mechanical properties) and
their position in a monument (Bellopede et al., 2016; Gulotta and Toniolo, 2019).
In the northern part of France, the temperate climate strongly influences stone weathering, with
temperature and humidity variations especially in the areas located in the Paris Basin since limestones
are major building stones and are highly sensitive to weathering (Durnan, 2015). Lutetian limestones
belong to a geological stage of the same name and spread over a large area from the west in the
Normandy to the east in the Champagne region. They were used from antiquity in most of the
buildings and monuments in Paris and its surroundings, but they display important horizontal and
vertical sedimentary variability that changes their composition and their intrinsic properties (Fronteau
et al., 2010). In Rheims and throughout the Champagne region, situated in the eastern part of France,
Lutetian limestones represented several local stones which built many houses, churches and
monuments from the XII
th
to the XX
h
century. They were the dominant materials in the XVII
th
, and its
use decreased in the XVIII
th
century. Two Lutetian limestones, called Courville and Ditrupa stones,
are employed in all positions of buildings, mostly in wall elevation, frames and sculptures, secondary
in the basement for Courville stone (Turmel, 2014). Another stone, Savonnieres stone, which is not
local, became one of the main building stones of the XVII
th
and XVIII
th
centuries in restoration to
replace Lutetian limestones in window frames, pinnacles and sculptures. This stone is still mined,
whereas Lutetian limestone quarries are presently closed. The Notre Dame Gothic Cathedral in
Rheims, one of the most prestigious monuments in France, illustrates the use of many Lutetian
limestones, in particular those three limestones used in similar parts of the monument because of their
close visual appearance (Turmel et al., 2014). Nonetheless, one of the first actions of the climate and
other external factors, such as pollution, is to impact aesthetics by weathering, depending on the stone
properties and its position in the monument. Therefore, the choice of restoration stones is crucial.
Studies of Lutetian stones and Savonnieres on site highlighted different decay patterns, such as thin
layers of desquamation for Lutetian stones and a sandy homogeneous disintegration of the surface for
Savonnieres stone (Fronteau et al., 1999). An acidic atmosphere caused a yellowing of stones by the
reaction of sulphuric acid with calcite of the stones (Gibeaux et al., 2018). A recent laboratory study
on Courville and Savonnieres stones displayed a higher sensitivity to frost and salt weathering damage
for Courville stone (Huby et al., 2020). However, biological weathering has not been studied yet,
despite a visual biocolonisation of those stones in monuments (Fig. 1). Biocolonisation, defined as
“any undesirable change in a material brought by vital activities of organisms” (Hueck, 2001), is
considered as an unsightly soiling of cultural heritage artefacts in stone, but it can also lead to
irremediable historical and cultural losses in the long term. The bacterial diversity of a Lutetian
limestone in the Chaalis abbey in the north-western region of France has already been analysed
(Mihajlovski et al., 2017), but the composition and the petrophysical properties of this stone differ to
those of Courville and Ditrupa stones (Vázquez et al., 2016), which can induce a different
biocolonisation.
In that respect, this study investigated and compared the progressive biocolonisation of the two
Lutetian limestones (Courville and Ditrupa stones) and their restoration stone (Savonnieres stone)
through an outdoor test over a period of 2.5 years. The aim was to discern if Savonnieres stone was a
judicious choice as a restoration stone regarding the bioreceptivity of the three stones. Sound and
sterile samples were exposed at the same time and in the same position to the same environmental and
3
climatic conditions. In the field, biocolonisation was monitored monthly by colorimetry and the
development of phototrophic organisms by chlorophyll a fluorescence. In the laboratory, chlorophyll a
estimation supplemented the in-situ data, and the bacterial colonisation was analysed by agar culture
for identification and quantification. Petrophysical analyses and microscopic observations of colonised
stones were carried out to better understand the involvement of the intrinsic properties of the three
stones on their bioreceptivity.
Fig. 1: Photo of the Rheims cathedral apse made of the Courville and
Ditrupa stones in wall elevations and Savonnieres stone in caps and
decorations of buttresses (photo: G. Fronteau 2008).
2. Materials and methods
2.1. Presentation of the studied stones
Courville stone dating back to the Lutetian stage (41–47.8 My) belongs to the Lutetian limestones of
the Paris Basin. The term Lutetian refers to Lutetia, the name given to Paris during Antiquity. It is a
common stone in Parisian buildings, obtained from quarries located in the underground of the capital.
Lutetian limestones provided prestigious ashlars from Antiquity and were also employed in many
buildings and Gothic cathedrals around Paris (Fronteau et al., 2010). Courville stone is one of the main
building stones of Rheims City and the surroundings. The quarries are located in the western part of
the city and are closed now. It is a clear yellow limestone, classified as a packstone, with a micritic
matrix and coarse white shells and micro-fossils, namely foraminifera (milliolids, Orbitolites
complanatus) and calcareous algae (Dasycladaceae) (Fig. 2). Nonetheless, the Lutetian sedimentary
sequence in the Paris Basin has important vertical, lateral and geographical variations, which
generated variations of the petrography (composition of stones) and of the petrophysical properties of
Lutetian stones (Fronteau et al., 2010). Ditrupa stone testifies to this variability. It also belongs to the
Lutetian limestones from quarries in the surroundings of Rheims and was frequently used as Courville
stone in many buildings and monuments of this region. It is a clear, whitish coloured stone, classified
as a packstone, with a micritic matrix and fossils (bivalves, gastropods and echinoderm ossicles), as
well as micro-fossils such as milliolids. This stone is characterised by Ditrupa strangulata tubes made
of polychaete worms (annelids).
The Savonnieres stone is a limestone dating back to the Lower Tithonian (150 My) and still mined in
the two last quarries in the vicinity of Saint Dizier City in Eastern France. It appeared in buildings
from the modern period (1755) in Rheims City and is now employed for restoration (Fronteau et al.,
2014). It is a clear limestone classified as a grainstone, with calcite spar crystals which surround oolit
vacuolar grains and shell debris (Fig. 2). The composition is highly different to that of the two
Lutetian limestone ones since the texture is grain-supported, with numerous large elements.
4
Fig. 2: Photos in microscopy (thin section in polarized light) and macroscopy
of Courville (a), Ditrupa (b) and Savonnieres stone (c).
2.2. Biofouling test
This test consisted of a natural biocolonisation of stone samples to study the micro-organisms
developed over 2.5 years (from October 2016 to April 2019) (Fig. 3). The climate is temperate, with
wet and cold winters and warm to hot summers. During the test period, these was a rainfall average of
43 mm, with a minimum in April 2017 of 10.2 mm and a maximum in September of the same year of
109 mm. The average of temperature went from 1.9°C in February 2017 to 21.7°C in July 2018, but
during a short period, negative temperatures were reached in the winter and spring of 2017, 2018 and
2019 (-11.6 and -11.1°C in February 2017 and 2018, -3.9°C in April 2019). During the summer, the
maximum temperatures reached 35°C in June 2017 and 36.9°C in July 2018 (Table S1).
Fig.3: Gantt chart which maps out the time schedule of field measurements and of sampling for laboratory analyses.
Samples were settled on a galvanised steel platform 1 m above the ground and 20° tilted to the SW to
limit the stagnation of water and maximise sunshine (Fig. S1). Located outdoor in the garden of Sacré
Coeur secondary school in Rheims City, they were previously sterilised to kill bacteria already
occurring on the stone surface to start new natural seeding. In total, 230 small samples per limestone
(dimensions: 2 x 2 x 1 cm) were exposed for the laboratory analysis (quantification of cultivable
bacteria and of chlorophyll a), and four larger samples per limestone (dimensions: 10 x 10 x 5 cm)
were settled for in-situ measurements each month for colour and chlorophyll a fluorescence. Small
dimensions for samples were preferably used to frequently collect triplicates for the destructive
analyses, whereas larger samples were settled to obtain a larger and identical surface of measurement
throughout the test period. This dimension ensured the stability of the samples for a better weather
resistance.
2.3. Field study
2.3.1. Colourimetry
Surface colourimetry is often used as a non-destructive technique to monitor the changes in stone
colour on monuments due to the fouling induced by microbial growth (Grossi et al., 2007; Cutler et
al., 2013; Vázquez-Nion et al., 2013; Pozo-Antonio et al., 2017).
Stone colour was measured using a Chroma Meter CR-400 by Konica-Minolta, equipped with a light
projection tube CR-A33c of 11 mm in diameter, which is the measurement zone. Calibrations were
done with a white ceramic plate CR-A43, and values are given in the CIELAB colour space (European
5
∆
∗
2
+
∆
∗
2
+
∆
∗
2
Committee for Standardization EN ISO 11664-4 and CIE Technical Report 2004). Three parameters
define the colour location in colour space: L
*
is the lightness (0 = absolute black, 100 = absolute
white); a
*
and b
*
are the chromaticity coordinates; a
*
is the position between green (a
*
< 0) and
red/magenta (a
*
> 0); b
*
is the position between blue (b
*
< 0) and yellow (b
*
> 0).
The measurements were carried out from the month 3 (January 2017) to month 30 (April 2019). A grid
of the size of the samples (10 x 10 x 5 cm) with 25 regular spaces was placed on the top surface of
each sample to position the device and to take 25 measurements each month. Colour was measured at
the beginning of the test (T0 in October 2016) and then once each month from month 3 (considering
that no changes in biological colonisation occurred during the first 3 months) to month 30. The
CIELAB lightness and chroma differences were calculated as follows: ΔE
*ab
(global colour variation),
ΔL
*
, Δa
*
, Δb
*
as the difference between the values at each stage of the test and the first values
measured at T0; ΔE*
ab
was calculated from the three colour parameters using Equation (1). An
average of the colour parameters was established for each type of stone from the four samples of the
same stone.
ΔE
*ab
= (1)
2.3.2. Chlorophyll a fluorescence
In cultural heritage, this non-invasive technique has already been carried out in situ and over a long
term to investigate the physiological adaptation of lichens to changes in microclimatic conditions
(Baruffo and Tretiach, 2007) and the effects of biocides (Pfendler et al., 2018; Bruno et al., 2019). The
fluorescence from chlorophyll a is almost exclusively from photosystem II (PSII) in the
photosynthetic chain of plants. In-situ measurements were first carried out at month 3 (considering
that growth of phototrophic microorganisms has not be detected before) and then once a month for 2.5
years. A handheld photosynthesis yield analyser, Junior PAM Chlorophyll Fluorometer (Walz,
Effeltrich, Germany), was coupled to the WinControl-3 Software. The device operated with the pulse-
amplitude modulated (PAM) in combination with saturating pulse analysis of fluorescence quenching.
The same grid for colour measurements was also used to perform 25 fluorescence measurements onto
the whole top surface of each sample of with a dimension of 10 x 10 x 5 cm via a visible blue power
LED (460 nm) for modulated and saturating pulses. The light released was 190 µmol photons.m
-2
.s
-1
of PAR (photosynthetic active radiation), with the fibre-optic probe of the fluorometer applied to the
sample. For each measurement, the probe was moved in a grid space, and two parameters were
recorded: the minimal fluorescence of light-adapted biofilm (F’
0
) and the maximal fluorescence during
the saturating light (F’
m
). From those parameters, the relative quantum yield of PSII, ϕPSII, was
calculated using the equation F’
V
/F’
M
= (F’
M
− F’
0
)/F’
M
. Measurements were carried out without
preliminary darkness and wetness phases, and therefore, φPSII reflects the real photosynthetic yield of
microorganisms in natural conditions.
2.4. Laboratory study
2.4.1. Bacterial strain quantification
Small samples (2 x 2 x 1 cm) were collected in triplicate for each type of stone and for each time
period (months 6, 9, 14, 18, 21, 23 and 26). The quantity of live and cultivable adhered bacteria was
evaluated following bacteria detachment by ultrasound. Samples were washed in PBS (phosphate
buffered saline) and transferred to a tube containing 8 mL of this solution. Bacteria were then detached
by exposing the sample to 5 min of ultrasound (40 kHz) (Reffuveille et al., 2018). A volume of 100 µL
from serial dilutions was plated on nutrient agar plates to grow bacteria. The same protocol was
performed with non-exposed and sterile triplicates of each type of stone, which were used as negative
controls. Isolates were quantified via a visual counting of the colonies according to morphotypes
(colour and aspect).
2.4.2. Identification and phylogenetic analysis of bacterial strains
A microbial suspension from each isolate of the bacterial culture described previously was prepared by
mixing a colony with 100 µl of Milli-Q water. It was then placed into a water bath for 5 min at 95°C,
6
(2)
followed by -80°C for 1 hour (five cycles) to break the microbial cells and have access to the genomic
DNA. The DNA was used as a template for 16S rRNA amplification by PCR with primers 8F (5’-
AGAGTTTGATCCTGGCTCAG-3’) and 1391R (5’- GACGGGCGGTGTGTRCA-3’) (Sim et al.,
2012). The PCR product was then sent to Genoscreen (France) for primer removal and for further
sequencing using an automatic DNA sequencer (model 3730xl; Applied Biosystems). The sequences
were then blasted online (https://blast.ncbi.nlm.nih.gov/Blast.cgi) and aligned with the closest relative
sequences of representatives (determined by the BLASTN), using the CLUSTALW program
(Thompson et al., 2002). The partial sequences of the 16S rRNA gene represented a sequence of with
a length of 765 nucleotides, which was aligned on a total of 1,268 unambiguous position based on the
E. coli numbering system.
2.4.3. SEM observations during biocolonisation
Environmental SEM was used to observe the biofilm on the stone surface at months 10, 16 and 26.
The apparatus was a SEM Hitachi TM-3030 plus Tabletop Microscope. Samples introduced in the
microscope had a dimension of 2×2×0.5 cm and were placed on a double-sided adhesive carbon tape;
the accelerating voltage was 15 kV for imaging, with a working distance of 6 mm. All images were
acquired in the back-scattered electron mode.
2.4.4. Chlorophyll a estimation by spectrophotometry analysis
Quantification of chl. a was carried out at months 5 and 7, then monthly from month 9 to month 21, by
collecting triplicates (of 2×2×0.5 cm dimension) of each stone type. Samples were cut and ground, and
the chlorophyll was extracted with 95 % ethanol (50 ml) at 70°C for 3 hours. After overnight
incubation at 4°C, the chlorophyll concentration was estimated from the supernatant by measuring
absorbance at 665 nm wavelength after centrifugation (spectrophotometer Thermo Fisher Scientific
Genesys 10-S). The chl. a content was calculated using a conversion factor (72.3 mg
chl.ml
-1
), as
described in the formula (2) (Malam Issa, 1999): (OD 665 is the optical density at 665 nm)
Chl. a = OD 665
72.3
2.4.5. Porosity and pore access radii
The microstructural characteristics of stones were assessed through the mercury (Hg) intrusion
measurements to evaluate the modification of the porous network involved by the biofilm on the stone
surface. One sample of stone (1 x 1 x 1 cm) was analysed prior to exposure, and the data were used as
standard. Samples were collected from the outdoor test at months 10, 16 and 26 of exposure. The
upper face of the stone was sawn (0.5 x 1 x 1 cm), and Hg porosity and pore size distribution were
measured with a mercury intrusion porosimeter (Micromeritics Autopore IV 9500), reaching a
pressure of 247 MPa and measuring pore radii sizes from 0.003 to 178 µm.
3. Results
3.1. Characterisation of the porous network of stones
The intrinsic properties of the stones were analysed with petrographic observations and petrophysical
measurements: water total porosity, capillary coefficient according to standards (European committee
for Standardization, 2007; European Committee for Standardization, 2010) and drying kinetics from
the water evaporation test (Rousset-Tournier et al., 2003). Furthermore, mercury porosity and the pore
access radius distribution of stones were measured with a Micromeritics AutoPore IV 9500 (Table 1).
Courville stone has a water total porosity at 23.4%; the pore distribution is unimodal with one main
pore access radius at 0.1 µm, making it a microporous stone. The capillarity coefficient is 45.7 g.m
-2
.s
-
1/2
, displaying a medium capillary transfer kinetics and a high water saturation (84.4%). The drying
kinetics, induced from the water evaporation test, achieved a critical saturation (Sc) at 50.0%, meaning
that 50% of the water is evaporated from the surface by capillarity in 55.8 hours (T
Sc
).
7
Ditrupa stone has a water total porosity at 14.8% and is related to a mouldic porosity located in
dissolved fossils and to an intergranular porosity in a matrix partially recrystallised. The pore
distribution is bimodal, with two main pore access radii: between 3 and 8 µm and at 0.08 µm. This
stone is characterised by a weak capillary coefficient (10.2 g.m
-2
.s
-1/2
) and a weak saturation (30.0%);
thus the pore network is much less connected than that of Courville stone. Nonetheless, the drying
kinetics is similar, with a critical saturation (Sc) at 49% and a T
Sc
at 45.4 hours despite a standard
deviation of 14.2 which suggests a higher data variability and thus a heterogeneity of the porous
network. Although both Lutetian stones have the same geographical origin, the characteristics of the
porous network vary due to differences in the textural composition. However, they are closer than
Lutetian limestone from the north west of Paris which is more porous (40%) with a large pore radius
(16 µm) and a high capillary coefficient (1215 g.m
-2
.s
-1/2
) (Vázquez et al., 2016).
Savonnieres stone has a higher water total porosity, reaching 33.9%. It is composed of intragranular
moulding macropores by dissolution of oolit nuclei (Fig.2) and is weakly connected (Fronteau, 2000;
Roels et al., 2000), whereas a second macroporosity is intergranular due to the partial cementation
between oolits and is considerably more connected. Finally, a microporosity is located inside the oolit
fringes and in nuclei, when still existing. The connected porous network describes a bimodal pore
distribution with main pore access radii at 8–10 µm and 0.1 µ m (Table 1). Moreover, Savonnieres has
fast capillary transfer kinetics with a capillary coefficient of 111.0 g.m
-2
.s
-1/2
; the drying kinetics
displays a weak critical saturation (27%) and a slow drying (98.4 hours), but it does not take into
account the fact that numerous oolitic macropores at the surface dry quickly since they are weakly
connected with the network.
Accordingly, both Lutetian stones have different texture and petrophysical characteristics. Ditrupa
stone has two main pore sizes, with a large pore access radius of 3 µm, whereas Courville stone has a
unimodal distribution and microporosity. Despite the presence of large pores, porosity, water
absorption and saturation are lower than in Courville stone, which reveals a lower connectivity of the
porous network. Savonnieres stone, employed as a replacement for Lutetian stones, has a much higher
porosity and capillary, suggesting a good connectivity of the network, saturation is lower than in
Courville. In addition, the drying kinetics indicates that Savonnieres stone releases less water and over
a longer period than Lutetian stones.
Stone name
Courville
Ditrupa
Savonnieres
Classification (Dunham)
Packstone
Packstone
Grainstone
Water
total
porosity (%)
23.
4 ±
1.5
14.8
±
5.1
33.9 ± 1.1
Capillary coefficient:
C
1
(g.m
-2
.s
-1/2
)
45.7 ± 11.4
10.2
± 5.7
111.0 ± 15.3
Saturation (%)
84.4
±
0.7
30.0 ± 6.8
50.2
±
0.8
Drying kinetics at 33%:
Critical saturation Sc (%)
50.0 ± 0.4
49.0 ± 4.3
27.0 ± 1.2
Critical saturation time T
Sc
(h) 55.8 ± 0.2 45.4 ± 14.2 98.4 ± 3.3
Pore radii thresholds (µm) 0.1 3-8 ; 0.08 8-10 ; 0.1
Pores (%)
:
> 10 µm
4.0 ± 1.2
12.2 ± 4.6
17.1 ± 2.7
10
–
1 µm
1.9 ± 1.6
28.3 ± 3.0
37.1 ± 0.8
1 – 0.1 µm 30.0 ± 3.6 38.7 ± 4.2 33.4 ± 2.5
< 0.1 µm
64.1 ± 6.3
20.7 ± 3.1
12.4 ± 0.8
Table 1: Petrophysical characteristics of Courville, Ditrupa and Savonnieres stones.
3.2. Identification and quantification of bacterial colonies
Bacterial colonies have been identified and counted from morphotypes grown and isolated on agar
plates. The microbial culture showed that the same strains developed on the three types of stones.
Major colonies were identified (Table 2). The phylotype Actinobacteria was strongly represented by
red and pink bacteria belonging to Arthobacter sp. and Rhodococcus sp., Microbacterium
phyllosphaerae. The second phylotype was bacilli with Bacillus safensis and Bacillus subtilis. The last
8
phylotype belonged to Gammaproteobacteria represented by Stenophomonas sp. The nucleotide
sequence data reported in this paper were deposited in the NCBI nucleotide sequence database under
accession numbers MW999226 - MW999340 - MW999341 - MW999348 - MW999925 - MW999351
- MW999406 - MW999410 - MW999411 - MW999413 - MW999414 - MW999679.
Phylogenetic closest affiliation of isolates
Color
Similarity (%)
Accession number*
Rhodococcus
cerastii
strain T9.1
Orange
99.1
%
MN198046.1
Rhodococcus
fascians
A25f
Orange
9
9.8
%
CP049744.1
Rhodococcus
sp. D2
Orange
100
%
AY953293.1
Arthrobacter
agilis
strain GS52
Red
100
%
MT397170.1
Arthrobacter
sp. strain CP30
Pink
97.2 %
MH061260.1
Arthrobacter agilis
strain GS51
Pink
9
5.7
%
MT397169.1
Bacillus
safensis
strain KMF402
Yellow
99.
8
%
MT642941.1
Bacillus
safensis
strain MI31
Beige
99.4 %
MN117707.1
Bacillus
subtilis
strain LTNo.1
Beige
-
yellow
99.8 %
MT645308.1
Stenotrophomonas
sp. C1BS11_pA
Beige
100
%
KX023651.1
Stenotrophomonas
sp. strain NJ1024
Beige
97.0 %
MT362666.1
Microbacterium
phyllosphaerae
strain P
-
RA6
Yellow
100 %
MT533897.1
Table 2: Closest affiliation of ten isolates. *CR_GenBank accession number.
The number of colonies grown on agar plates (Fig.4 and Table S2a-b-c) displayed the dominance of
red Arthrobacter agilis at months 6 and 9 on all stones. Then, there was a diversification of species
from month 14 when species sharply grew, especially bacilli. Pink Arthrobacter sp./agilis developed
later but became predominant on Courville from month 18, whereas Rhodococcus sp. decreased
drastically. On this stone, the number of bacteria increased progressively up to 703.5 CFU/cm
2
at the
end of the experiment.
On Ditrupa stone, the number of bacteria was lower and more variable over time compared to
Courville, except at the end, where Ditrupa was the most colonised of the three stones (964.5
CFU/cm
2
), with pink Arthrobacter sp./agilis and Stenophomonas sp. being the most abundant species.
Savonnieres had the lowest number of colonies (254.8 CFU/cm
2
throughout the experiment, despite
the diversification at month 14, similar to other stones. At month 20, pink and red Arthrobacter sp.
were the most abundant species like the other stones (264.0 and 63.3 CFU/cm
2
) but at the end of the
experiment, at month 26, the numbers of pink bacteria dropped significantly in favour of the red
Arthrobacter agilis and Microbacterium phyllosphaerae.
Fig. 4: Number of colonies formed on the stone surface (CFU/cm
2
) over time for each type of stone from bacterial culture in
agar plates.
3.3. Colour measurements
Colour measurements were carried out before ageing (T0) and then from month 3 to 30. First, the
natural colour of the three stones before exposure was characterised by a high L
*
at 76.0 for Ditrupa,
76.6 for Savonnieres and 79.8 for Courville; thus, they all had a clear
colour. The values of b* ranged
from 11.8 to 13.0, indicating a yellow colour, whereas a* was less noticeable, with values ranging
from 1.7 and 2.9, indicating a slightly to red colour (Table S3).
9
The global colour variation (ΔE
*ab
) is shown in Figure 5, and its evolution is described hereafter and
explained by the other colour parameters: ΔL
*
, Δa
*
, Δb
*
(Tables S4, S5, S6). The ΔE
*ab
was high at the
third and fourth month of exposure (Jan. and Feb. 2017), with values between 8.4 and 13.9 for all
stones. The global colour changed during the winter, which can be explained by a darkening of stones
(ΔL
*
was negative, between -11.9 and -4.1) and a yellowing, especially of Courville and Ditrupa with
Δb
*
up to 8.2. This change can be associated to the wetness of stones, induced by regular rainfall and
both low insolation and temperatures.
Fig. 5: Global colour variation (ΔE
ab
) through the experiment time. ΔE
ab
has been calculated from the starting of the ageing
test in October 2016 (T0) for January 2017 to April 2020.
From March 2017, ΔE
*ab
dropped to 2.9 for Courville, 2.4 for Ditrupa and 1.5 for Savonnieres. The
values remained low throughout spring and summer, until July for Savonnieres and until September
for Courville and Ditrupa. This can be11 explained by the drying of stones, which led to a colour close
to the initial one. From July for Savonnieres, ΔE
*ab
increased until reaching 18.3 in November, which
was the highest colour variation of the three stones. It was characterised by a progressive darkening
(ΔL
*
was from -2.6 to -15.1), a greening (Δa
*
was from -0.8 to -2.6) and a yellowing of the stone (Δb
*
was from 2.1 to 10.0). On Courville and Ditrupa, the same trend was also observed from September,
with a maximum of respectively 11.5 for Courville and 9.8 for Ditrupa, but it was not as high as that
for Savonnieres. As a result, biocolonisation was detected by the colour variation in summer on
Savonnieres stones and later on, at the beginning of autumn, on the other two stones.
In December 2017, on Savonnieres, ΔE
*ab
was marked by a rough decrease (8.3), which was explained
by a lightening (ΔL
*
= -6.8), a greening (Δa
*
= -2.4) and a bluing of this stone (Δb
*
= 3.8).
Subsequently, ΔE
*ab
increased in the following 2 months, especially in February with 19.0, with a
decrease in ΔL
*
(- 17.8). On Courville and Ditrupa, a decrease in ΔE
*ab
was also observed, albeit a
lower one (8.8 and 6.7, respectively). Subsequently, it increased for Courville up to12.7, whereas for
Ditrupa, the values remained between 6.2 and 7.3 until September 2017.
During the second full year, from March to October 2018, ΔE
*ab
was stable for all stones, ranging
between 6.8 and 8.3 for Courville and 6.0 to 6.9 for Savonnieres. During this period, there was a
brightening of all stones, with ΔL
*
levels between -5.8 and -6.8. The Δa
*
was slightly negative for
Ditrupa (-0.4) and Courville (-0.6) and lower for Savonnieres (-1.2 to -1.5). The Δb
*
was around 0 for
Savonnieres, indicating that the ageing of this stone has not impacted this parameter. On the opposite,
Ditrupa and Courville, had Δb
*
values from 3.5 to 4.2 and from 3.7 to 4.7, respectively, with a
yellowing of both stones.
From November 2017 to January 2018, for Savonnieres, ΔE
*ab
increased strongly (from 11.2 to 17.5),
which was traduced by a darkening (ΔL
*
was up to -16.9) and an increase in Δb
*
. Ditrupa and Courville
10
colour change increased, but less significantly than that for Savonnieres. Finally, for the last months,
ΔE
*ab
of Savonnieres was around 12, higher than the values for Courville and Ditrupa.
In summary, the natural exposure of stones was characterised by a progressive colour change, in
particular a darkening for all stones over time.
The three stones showed the same overall trend, but the trend was stronger for Savonnieres. It was
marked by two periods of stability that matched with spring and summer times for both years (2017
and 2018). The first stable one was marked by low colour variations, and the second one had higher
ΔE
*ab
values (between 6.0 and 8.0). Between the stable periods, colour varied strongly during winters,
in particular for Savonnieres, characterised by a darkening, a greening and a yellowing of stones. The
colour of Savonnieres during exposure showed a different evolution than that for Courville and
Ditrupa. The levels of Δa
*
were always lower, suggesting a higher greening of Savonnieres, notably in
winter.
3.4. Chlorophyll a fluorescence
Measurements of F’
0
and F’
M
led to the calculation of ϕPSII, which reflects the photosynthetic yield
through the occupancy rate of PSII centres. Data followed an overall same trend for the three stones,
with values ranging from 0.11 to 0.36 over the 2.5 years (Fig. 6-Table S7). During the first year, ϕPSII
increased from January to March and reached a maximum for Ditrupa (0.24); subsequently, the values
decreased until July, with 0.09 for Savonnieres and 0.13 and 0.14 for Courville and Ditrupa,
respectively. Moreover, this year was highlighted by a strong increase in ϕPSII in November 2017,
especially for Savonnieres and Ditrupa stones (0.32 and 0.36, respectively); the levels of ϕPSII
decreased during the following 2 months.
In the following year, in spring and summer 2018, the values increased progressively, reaching 0.32
for Ditrupa and 0.29 for Courville in June. The ϕPSII decreased again until December 2018 (0.12 to
0.14). At the beginning of the third year, a new cycle started, and the ϕPSII increased to 0.22 in April
2019.
Fig. 6: Chlorophyll-a fluorescence (ϕPSII) measured from January 2017 to April 2020.
The ϕPSII data were compared to the solar radiation (W/m
2
), and there was no significant correlation
between the two parameters in the first year. The decrease in solar radiation in autumn did not avoid
the rapid rise of the photosynthetic activity. Nonetheless, from the second year, ϕPSII was clearly
related to solar radiation when the phototrophic microorganisms predominated.
11
The ϕPSII decrease during December 2017 and January 2018 seemed to be a result of heavy rainfall
(88.1 and 83.5 mm, respectively) and negative temperatures (minimum at -3.1°C and -10°C), most
likely causing the death of microorganisms.
3.5. Chlorophyll a estimation
The Chlorophyll a (Chl. a) content was close to 0 from March to September 2017 for Courville (Fig. 7
– Table S8). It was quantified from July (month 8) for both Savonnieres (0.49 µg.cm
-2
) and Ditrupa
(0.39 µg.cm
-2
). Then, Savonnieres stones always showed a higher Chl. a content than the two others
(except in Dec. 2017), which decreased from 1.29 µg.cm
-2
to 6.01 µg.cm
-2
, whereas Ditrupa’s Chl. a
content decreased from 0.33 to 3.35 µg.cm
-2
and Courville´s content from 0.35 to 2.38 µ g.cm
-2
. There
was a first large increase, with a maximum in November 2017, for Savonnieres and Ditrupa, with 3.19
and 1.85 µg.cm
-2
, respectively, and for Courville in December, with 1.60 µg.cm
-2
. The greatest
increase occurred the following year at the same months (Nov. to Dec. 2018). Therefore, at the
beginning of each winter, the phototrophic microorganisms grew rapidly.
Fig. 7: Chlorophyll-a content (µg.cm
-2
) calculated from spectrophotometry at 665 nm wavelength.
3.6. Porous network evolution with biofilm growth
Stone porosity and pore size distribution were measured via mercury intrusion porosimetry before the
experiment (control) and then quantified at three times during the ageing experiment (months 10, 16
and 26). Figure 8 shows a graph for each stone, representing the pore access radius (µm) versus the Hg
intrusion (mL.g
-1
). This is completed by Table S9 with the Hg porosity (%) and the Hg volume (mL.g
-
1
) for four classes of pore access radius.
For Courville stone, the porosity was 25.7% before the experiment and varied from 23.4% at month 10
to 22.5% at month 26. It was characterised by microporosity, but curves (representing Hg intrusion as
a function of pore access radii) displayed a decrease in pores larger than 10 µm from month 10.
Indeed, the Hg volume was 0.007 mL.g
-1
for the control, 0.003 mL.g
-1
at month 10 and remained low
at 16 and 26 months (0.004 and 0.002 mL.g
-1
). Moreover, there was a decrease in intermediate pore
size (between a radius of 10 and 1 µm), with a Hg intrusion of 0.005 mL.g
-1
for the control to 0.003
mL.g
-1
at month 10 and 0.001 mL.g
-1
at month 16 and 26. The microporosity, such as pores between 1
and 0.1 µm radius, decreased from 0.046 mL.g
-1
(control) to 0.023 mL.g
-1
at month 26. This could be
explained by a shift of the month 26 curve; the main pore size was 0.09 µm instead of 0.15 µm for the
control. In addition, the smallest pore size radius (< 0.1 µm) decreased clearly from month 10 with
0.054 mL.g
-1
instead of 0.072 mL.g
-1
for the control, but this trend was not confirmed for the
remaining ageing period. Accordingly, the ageing of Courville stone with the settlement of
12
microorganisms led to a decrease in the microporosity of pores with a radius of 1–0.1 µm. This filling
of pores by the biofilm reduced their size and could partially explain the increase in smaller pores <
0.1 µm.
Fig. 8: Incremental mercury intrusion in relation to the pore size. Comparison of the pore access radii distribution at month
10, 16 and 26 for Courville (a), Ditrupa (b) and Savonnieres stones (c).
Ditrupa stone has a bimodal pore distribution, with two distinctive main pore radii at 3 and 0.08 µm
before the experiment. The porosity decreased slightly from 22.9% for the control to 17.9% at month
26. From month 10, Hg intrusion of pores higher than 10 µm decreased from 0.014 to 0.006 mL.g
-1
and for pores between 10 and 1 µm from 0.044 to 0.006 mL.g
-1
. Therefore, there was an obvious
decrease in macroporosity. On the opposite, micropores comprising between 1 and 0.1 µ m, with
0.033 mL.g
-1
for the control, increased to 0.050, 0.059 and 0.057 mL.g
-1
, respectively, at months 10,
16 and 26. These results were explained with the DI curves; the main pore radius decreased from 3 µm
for the control to 0.70–0.45 µm between months 10, 16 and 26, whereas the main micropore size
remained at 0.8–1.0 µm. Biocolonisation of the Ditrupa surface led to a filling of macropores and to a
decrease in their size, followed by the emergence of a new, smaller pore class.
Originally, Savonnieres stone has a high porosity at 36.2% which is characterised by a bimodal pore
distribution with main pore access radii at 10 and 0.1 µm. The porosity decreased to 24.1% for month
10, at 23.5% for month 16 and at 25.8% for month 26. Thus, porosity was decreased significantly at
10 months of ageing and remained stable thereafter. The main macropore radii at 10 µm decreased
strongly, and the peak of the curve shifted at a main pore radius of 7 µ m for months 10 and 16. It
dropped continuously until month 26, indicating significantly lower Hg intrusion, which suggests a
blocking of some macropores. Moreover, the peak of the 0.1-µm micropore radius was absent from
months 10 to 26. There was a clear obstruction of both micro- and macropores.
In conclusion, biological development affected the Courville stone surface less significantly than those
of Ditrupa and Savonnieres. There was a slight decrease in Courville porosity, with a filling of
micropores. Ditrupa showed a decrease in porosity, especially caused by the obstruction of the
macropores (> 1 µm), which led to an increase in microporosity. Savonnieres porosity showed a
stronger decrease, with a noticeable reduction of both micro- and macropores caused by microbial
growth.
3.7. SEM observations of biocolonisation
SEM observations at the stone surfaces were carried out at month 10 in the aim to observe a
preferential settlement of biofilm in function of the textural composition of stones and to specify the
results of Hg porosimetry. A low microbial development was observed on Courville stones. It was
located in the porosity of microfossils like miliolids (Fig. S2a) and mycelium of fungi developed
around other micro-fossils as Dasycladaceae algae. Furthermore, clusters of micro-needles of calcite
formed in the bigger pores (Fig. S2b). At the surface of Ditrupa stones, little patches of biofilm grew
in the micropores and in the macropores formed by Ditrupa worm tubes (Fig. S2c). More micro-
needles of calcite were observed in the porosity of this stone than in Courville (Fig. S2d). For
13
Savonnieres stones, biofilm patches grew primarily in the microporosity of oolit nuclei then in the
macroporosity (Fig. S2e, f, g). Observations of stones at the end of the test showed more micro-
needles of calcite on Courville and the expansion of the biofilm in all stones. Lichen was clearly
developed and mycelium filaments of fungi.
4. Discussion
The bacterial culture from biofilms enabled us to identify several species from isolates, of which all
developed on the three types of limestone. Although cultivable bacteria represent only a small part of
the bacterial diversity present on stones, this approach allowed us to determine species and their
potential impact on the degradation of stones. Arthrobacter sp. showed strong growth, they belong to
Actinobacteria and are often found on cultural heritage sites (Suihko et al., 2007; Mihajlovski et al.,
2017). Those species are involved in carbonate biomineralisation similar to many soil bacteria (Li et
al., 2015), monument bacteria (Urzì et al., 2014; Jroundi et al., 2017); more specifically, theyplay a
role in the precipitation of Ca-Mg carbonate through the physicochemical change of the
microenvironment around bacterial cells. Arthrobacter sp. could be associated to the formation of
calcite in needle-like structures, as observed on both Courville and Ditrupa surfaces and already
described as micrometric rod-like particles (Zhang et al., 2018, 2020). Moreover, pink Arthrobacter
sp. and Arthrobacter agilis are associated to a rosy discoloration of stone cultural heritage (Tescari et
al., 2018).
Bacillus species, widespread on the studied limestones are known for their ability to withstand
extreme environments and to degrade stone buildings (Kiel and Gaylarde, 2006; Scheerer et al., 2009;
Dyda et al., 2019). In our study, Bacillus subtilis, developed strongly from month 14, matching with
the formation of calcite crystals in needle-like structures (Loisy et al., 1999; Nguyen et al., 2019).
Moreover, they could reduce the water permeability of the stone and change the colour of the surface
(Özdemir et al., 2020). Bacillus safensis, identified on all three stones, has a biodeterioration activity
by the production of organic and inorganic acids (ElBaghdady et al., 2019). Stenotrophomonas sp., the
only Proteobacteria phylum identified, can potentially produce of extracellular polymeric substances,
promote the biofilm formation (Young et al., 2008) and plays a role in the stabilisation of biofilm
structures on stone surfaces (Alakomi et al., 2006). Both actinomycetes, Microbacterium sp. and
Rhodococcus sp. are commonly detected on building materials and can belong to pioneer biofilms
(Abdulla et al., 2008; Urzì et al., 2014; Zanardini et al., 2016; Romani et al., 2019).
Bacterial growth was considerably higher on Courville and Ditrupa than on Savonnieres, where
bacteria developed weakly during the whole experiment. The porosity of Courville, made of
micropores but well connected, promoted bacterial growth whereas large pores in most Savonnieres
stones facilitated the development of fungi and phototrophic microorganisms. Indeed, the
biocolonisation monitored on Savonnieres by colour variations was detected earlier and the two peaks
of ΔE
*ab
(in Nov. 2017 and Mar. 2018) were significantly higher for this stone than for the others.
Moreover, the first peak in Nov. 2017 appeared also in the chlorophyll a content and in fluorescence
data, which revealed that the sharp colour change was associated to a rapid growth of photosynthetic
microorganisms on the three stones but more specifically on Savonnieres. During the 2 whole years of
the test period, phototrophic development was noticed during each winter. In temperate climates,
winter is the wettest and coldest season. Thus, water seemed to be a key factor, for the growth of
photosynthetic microorganisms on the stones.
The data of mercury injection porosimetry showed that the porous network of Courville was less
impacted by biofilm colonisation; however, it was the less colonised stone. Ditrupa, which had a
micro- and a macroporosity, showed a net decrease specially of the macropores by the filling of the
biofilm. On Savonnieres, the porous network considerably changed, which was noticed by the
decrease in microporosity. The SEM observations at month 10 showed that biofilm growth preferably
started in the micropores located in the microcrystals of calcite, composing the oolite nuclei.
Furthermore, the macropores were also impacted by the biofilm, which grew in pores located in the
partial calcite cement between oolites. On the one hand, the macroporosity provided the
14
microorganisms with water over a long period and delayed the desiccation during the dry periods; on
the other hand, the biofilm strongly decreased the porosity and changed the natural properties of the
stone. Savonnieres was more bioreceptive than both Lutetian stones.
5. Conclusions
The microporosity of Courville stones promoted the progressive growth of bacteria, especially
Arthrobacter sp., Arthrobacter agilis, which could form needle-like calcite structures, but it limited
the colonisation by other microorganisms such as phototrophs. In contrast, Savonnieres, which has a
high macroporosity and less micropores, did not facilitate bacterial growth but promoted a more rapid
development of phototrophs and other microorganisms such as fungi. Ditrupa showed an intermediate
biocolonisation despite the lowest porosity; it was characterised by the highest bacterial growth, most
likely because of its well-developed microporosity. Moreover, it displayed a high biocolonisation by
phototrophs, which developed in the macropores. Savonnieres has been used for many centuries as a
replacement stone for Courville and Ditrupa because of its similar natural colour; also, it can easily be
cut and has been used for the creation of numerous sculptures on Gothic monuments. Nevertheless, it
has a higher bioreceptivity to photosynthetic microorganisms, which led to a higher discolouration of
the stone and promoted the development of other plants and an earlier biodegradation of this stone.
Acknowledgements:
The authors wish to thank M. Marlat, Director of the residential school Sacré Coeur in Rheims city for
the authorization to set up the outdoor station in the grounds of the secondary school.
Disclosure statement:
No potential conflict of interest was reported by the author(s).
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Supplementary data
Month Rainfall
(mm)
Average
temperature (°C)
Average minimum
temperature (°C)
Average maximum
temperature (°C)
Solar insolation
(W.m
-2
)
Jan
-
17
22
.
4
2
.
0
-
8
.
9
11
.
4
189
.
97
Feb
-
17
30
.
7
1
.
9
-
11
.
6
11
.
4
370
.
13
Mar
-
17
56
.
6
7
.
8
-
3
.
4
18
.
7
259
.
98
Apr
-
17
10
.
2
9
.
2
-
5
.
1
23
.
8
787
.
31
May
-
17
36
.
9
13
.
2
-
0
.
8
32
.
3
821
.
32
Jun
-
17
49
.
8
18
.
4
4
.
5
35
.
0
818
.
71
Jul
-
17
59
.
3
19
.
6
6
.
8
32
.
9
469
.
23
Aug
-
17
60
.
9
18
.
5
6
.
1
31
.
8
410
.
64
Sep
-
17
109
.
0
13
.
6
3
.
9
25
.
7
238
.
65
Oct
-
17
50
.
1
10
.
6
-
2
.
8
23
.
2
252
.
78
Nov
-
17
36
.
7
4
.
5
-
4
.
4
13
.
4
133
.
85
Dec
-
17
88
.
1
6
.
3
-
3
.
1
15
.
4
153
.
81
Jan
-
18
83
.
5
4
.
7
-
10
12
.
5
365
.
54
Feb
-
18
44
.
2
3
.
8
-
11
.
1
17
.
3
365
.
47
Mar
-
18
25
.
8
8
.
3
-
3
.
0
24
.
0
689
.
41
Apr
-
18
57
.
8
13
.
7
1
.
0
27
.
4
686
.
49
May
-
18
70
.
9
18
.
6
4
.
9
28
.
9
598
.
33
Jun
-
18
19
.
0
19
.
2
3
.
6
32
.
2
695
.
65
Jul
-
18
20
.
6
21
.
7
6
.
4
36
.
9
602
.
08
Aug
-
18
12
.
4
17
.
4
3
.
5
29
.
1
583
.
39
Sep
-
18
18
.
8
14
.
5
-
0
.
1
25
.
8
416
.
30
Oct
-
18
39
.
3
9
.
3
-
0
.
1
21
.
4
299
.
86
Nov
-
18
48
.
7
5
.
8
-
3
.
7
15
.
6
149
.
76
Dec
-
18
29
.
5
4
.
5
1
.
8
7
.
5
72
.
81
Jan
-
19
23
.
2
3
.
1
0
.
6
5
.
6
111
.
57
Feb
-
19
47
.
6
5
.
8
-
3
.
7
20
.
7
400
.
15
Mar
-
19
41
.
7
8
.
4
-
3
.
2
21
.
3
242
.
83
Apr
-
19
10
.
8
9
.
8
-
3
.
9
24
.
9
568
.
86
Table S1: Climatic data from January 2017 to April 2019. comprising the cumulative rainfall (mm). the average temperature
(°C). the average minimum temperature (°C). the maximum temperature (°C) (METEOFRANCE) and the solar radiation
(W.m
-2
) at the time of the fluorescence measurements (https://www.data.gouv.fr).
18
Fig.S1: Platform of stone samples exposure in outdoor. Smaller samples have been collected for the laboratory analyses
(zoom of the Courville sample tray (a)) and bigger samples (four for each type of stone) stayed in-situ for the duration of the
test for colorimetry and Chl.a fluorescence measurements (zoom of Savonnieres sample (b), Ditrupa sample (c), Courville
sample (d)).
COURVILLE
Test time (month)
6 9 14 18 21 23 26
Collecting month
Apr-17 Jul-17 Dec-17 Apr-18 Jul-18 Sept-18 Dec-18
Bacteria species
Red Arthrobacter sp.
13
.
5
170
.
8
87
.
5
72
.
5
136
.
8
144
.
0
49
.
8
Rhodococcus sp.
4
.
3
8
.
5
0
.
0
0
.
0
0
.
5
1
.
3
1
.
3
Microbacterium ph.
3
.
3
5
.
0
56
.
3
89
.
5
30
.
5
38
.
3
81
.
5
Bacillus subtilis
0
.
0
1
.
8
112
.
5
7
.
5
146
.
8
15
.
0
70
.
0
Bacillus
safensis
1
.
5
13
.
5
3
.
8
22
.
5
24
.
5
21
.
0
43
.
3
Pink Arthrobacter sp.
2
.
5
20
.
3
0
.
0
160
.
0
123
.
5
440
.
0
315
.
3
Stenophomonas sp.
0
.
5
6
.
5
125
.
0
57
.
0
89
.
5
38
.
0
142
.
5
Total
25
.
5
226
.
3
385
.
0
409
.
0
552
.
0
697
.
5
703
.
5
(a)
DITRUPA
Test time (month)
6 9 14 18 21 23 26
Collecting m
onth
Apr-17 Jul-17 Dec-17 Apr-18 Jul-18 Sept-18 Dec-18
Bacteria species
Arthrobacter sp.
45
.
3
65
.
5
167
.
5
54
.
3
90
.
0
167
.
8
85
.
8
Rhodococcus sp.
3
.
3
2
.
8
27
.
0
3
.
0
0
.
3
1
.
5
0
.
8
Microbacterium ph.
2
.
5
7
.
8
40
.
0
71
.
0
57
.
0
117
.
8
97
.
5
Bacillus subtilis
2
.
5
0
.
0
37
.
5
10
.
8
89
.
0
0
.
3
75
.
0
Bacillus safensis
3
.
8
1
.
5
33
.
3
11
.
0
20
.
8
7
.
5
117
.
5
Pink Arthrobacter sp.
6
.
3
24
.
8
3
.
8
43
.
8
82
.
8
68
.
0
262
.
0
Stenophomonas sp.
6
.
5
30
.
3
39
.
8
13
.
3
115
.
0
2
.
5
326
.
0
Total
70
.
0
132
.
5
348
.
8
207
.
0
454
.
8
365
.
3
964
.
5
(b)
SAVONNIERES
Test time (month)
6 9 14 18 21 23 26
Mon
th of collecting
Apr-17 Jul-17 Dec-17 Apr-18 Jul-18 Sept-18 Dec-18
Bacteria species
Arthrobacter sp.
0
.
5
22
.
8
17
.
5
19
.
5
16
.
8
86
.
5
63
.
3
Rhodococcus sp.
1
.
8
0
.
3
12
.
5
1
.
5
2
.
3
0
.
8
9
.
8
Microbacterium ph.
1
.
5
1
.
5
14
.
8
8
.
8
5
.
0
5
.
3
69
.
5
Bacillus subtilis
0
.
0
0
.
3
8
.
8
5
.
8
42
.
3
25
.
0
49
.
0
Bacillus safensis
0
.
3
1
.
3
5
.
0
7
.
8
26
.
5
20
.
3
36
.
8
Pink Arthrobacter sp.
0
.
3
0
.
0
9
.
8
27
.
3
11
.
5
264
.
0
16
.
8
Stenophomonas sp.
3
.
0
0
.
8
12
.
5
0
.
0
100
.
0
28
.
5
9
.
8
Total 7.3 26.8 80.8 70.5 204.3 430.3 254.8
(c)
Table S2: Number of colonies formed on the stone surface (CFU/cm
2
) on agar plates from triplicates of Courville (a). Ditrupa
(b) and Savonnieres stones (c) at 6. 9. 14. 18 21. 23 and 26 months for the outdoor ageing test.
19
Stones
L*
a*
b*
Courville (CV)
79.8 ± 1.1
1.7 ± 0.2
12.7 ± 1.7
Ditrupa (DI)
76.0 ± 1.4
2.9 ± 0.2
11.8 ± 0.9
Savonnieres (SV)
76.6 ± 1.2
2.9 ± 0.6
13.0 ± 2.3
Table S3: Colour data of the three natural limestones (Courville, Ditrupa and Savonnieres) before the outdoor ageing
experiment. L
*
, a
*
, b
*
have been calculated by the average of 25 measurements carried out on 4 samples (10 x 10 x 5 cm
dimension).
month
ΔE*.CO
ΔE*.CO.SD
ΔL*.CO
ΔL*.CO.SD
Δa*.CO
Δa*.CO.SD
Δb*.CO
Δb*.CO.SD
Jan
-
17
12
.
6
0
.
9
-
10
.
6
0
.
7
0
.
4
0
.
2
6
.
9
0
.
8
Feb
-
17
11
.
2
1
.
0
-
9
.
6
0
.
8
0
.
2
0
.
2
5
.
6
0
.
9
Mar
-
17
2
.
9
0
.
8
-
1
.
3
0
.
9
-
0
.
7
0
.
2
2
.
3
0
.
9
Apr
-
17
3
.
1
0
.
8
-
0
.
6
0
.
8
-
0
.
7
0
.
2
2
.
8
0
.
9
May
-
17
2
.
9
0
.
9
-
0
.
1
1
.
0
-
0
.
5
0
.
3
2
.
6
1
.
1
Jun
-
17
3
.
0
0
.
8
-
0
.
5
0
.
8
-
0
.
6
0
.
2
2
.
7
0
.
9
Jul
-
17
3
.
4
0
.
5
-
0
.
6
1
.
0
-
0
.
4
0
.
6
2
.
8
1
.
1
Aug
-
17
3
.
8
1
.
0
-
1
.
0
0
.
9
-
0
.
5
0
.
2
3
.
5
1
.
0
Sep
-
17
4
.
6
1
.
1
-
1
.
8
0
.
9
-
0
.
6
0
.
3
4
.
1
1
.
0
Oct
-
17
7
.
8
1
.
2
-
4
.
6
1
.
0
-
0
.
6
0
.
4
6
.
2
1
.
0
Nov
-
17
11
.
5
1
.
6
-
9
.
0
1
.
2
-
0
.
5
0
.
5
7
.
1
1
.
5
Dec
-
17
8
.
8
1
.
7
-
5
.
8
1
.
4
-
1
.
7
0
.
6
6
.
3
1
.
3
Jan
-
18
10
.
8
2
.
5
-
7
.
8
2
.
4
-
1
.
4
0
.
3
7
.
2
1
.
5
Feb
-
18
12
.
7
3
.
0
-
10
.
9
2
.
8
-
0
.
4
0
.
4
6
.
4
1
.
4
Mar
-
18
7
.
6
1
.
5
-
6
.
1
1
.
4
-
0
.
6
0
.
4
4
.
3
1
.
0
Apr
-
18
6
.
8
1
.
6
-
5
.
6
1
.
6
-
0
.
8
0
.
4
3
.
7
1
.
1
May
-
18
8
.
0
1
.
6
-
6
.
8
1
.
6
-
0
.
9
0
.
3
4
.
1
1
.
1
Jun
-
18
7
.
5
1
.
5
-
6
.
1
1
.
5
-
0
.
6
0
.
3
4
.
1
1
.
0
Jul
-
18
7
.
0
1
.
6
-
6
.
0
1
.
5
-
0
.
6
0
.
3
4
.
2
1
.
1
Aug
-
18
7
.
1
1
.
5
-
5
.
6
1
.
5
-
0
.
5
0
.
3
4
.
2
1
.
1
Sep
-
18
7
.
6
1
.
6
-
6
.
0
1
.
5
-
0
.
5
0
.
3
4
.
5
1
.
1
Oct
-
18
8
.
3
1
.
6
-
6
.
8
1
.
5
-
0
.
8
0
.
3
4
.
7
1
.
1
Nov
-
18
10
.
7
2
.
4
-
9
.
0
2
.
1
-
1
.
1
0
.
3
5
.
7
1
.
6
Dec
-
18
11
.
2
1
.
9
-
9
.
7
1
.
8
-
1
.
4
0
.
3
5
.
4
1
.
5
Jan
-
19
12
.
0
2
.
6
-
10
.
6
2
.
4
-
0
.
9
0
.
3
5
.
4
1
.
6
Feb
-
19
6
.
6
1
.
7
-
5
.
8
1
.
8
-
0
.
7
0
.
3
2
.
8
1
.
1
Mar
-
19
10
.
5
1
.
8
-
10
.
1
1
.
8
-
0
.
4
0
.
2
2
.
6
1
.
1
Apr
-
19
9
.
6
1
.
7
-
9
.
2
1
.
8
-
0
.
1
0
.
2
2
.
5
1
.
1
Table S4: Courville colour variations through the experiment time. The variation of colour parameters ΔE
ab
, ΔL, Δa, Δb has
been calculated from the starting of the ageing test in October 2016 (T0) for January 2017 to April 2020.
20
month
ΔE*.DI
ΔE*.DI.SD
ΔL*.DI
ΔL*.DI.SD
Δa*.DI
Δa*.DI.SD
Δb*.DI
Δb*.DI.SD
Jan
-
17
13
.
9
1
.
8
-
11
.
1
1
.
2
1
.
7
0
.
4
8
.
2
1
.
5
Feb
-
17
5
.
1
1
.
7
-
4
.
1
1
.
1
0
.
2
0
.
3
2
.
8
1
.
4
Mar
-
17
2
.
4
0
.
9
-
1
.
3
0
.
7
-
0
.
2
0
.
2
1
.
9
0
.
8
Apr
-
17
2
.
5
0
.
9
-
1
.
2
0
.
7
-
0
.
2
0
.
2
2
.
2
0
.
9
May
-
17
2
.
4
1
.
0
-
0
.
7
1
.
2
0
.
0
0
.
3
1
.
9
1
.
0
Jun
-
17
2
.
2
0
.
9
-
0
.
6
0
.
7
-
0
.
1
0
.
2
2
.
0
0
.
8
Jul
-
17
3
.
1
0
.
8
-
0
.
1
1
.
0
-
0
.
4
0
.
5
2
.
0
1
.
3
Aug
-
17
2
.
8
1
.
0
-
1
.
0
0
.
8
-
0
.
1
0
.
3
2
.
6
1
.
0
Sep
-
17
3
.
5
1
.
0
-
1
.
4
0
.
8
-
0
.
2
0
.
4
3
.
1
0
.
9
Oct
-
17
8
.
7
1
.
2
-
5
.
7
1
.
0
0
.
3
0
.
6
6
.
5
1
.
0
Nov
-
17
9
.
8
1
.
4
-
7
.
3
1
.
2
0
.
1
0
.
7
6
.
5
1
.
0
Dec
-
17
6
.
7
1
.
3
-
4
.
3
1
.
1
-
1
.
0
0
.
5
4
.
9
1
.
0
Jan
-
18
7
.
3
1
.
4
-
5
.
2
1
.
2
-
0
.
9
0
.
4
5
.
0
1
.
1
Feb
-
18
7
.
1
1
.
8
-
5
.
6
1
.
6
-
0
.
4
0
.
3
4
.
2
1
.
2
Mar
-
18
6
.
8
1
.
4
-
5
.
2
1
.
2
-
0
.
4
0
.
4
4
.
2
1
.
1
Apr
-
18
6
.
2
1
.
3
-
5
.
0
1
.
2
-
0
.
4
0
.
3
3
.
5
1
.
1
May
-
18
7
.
2
1
.
4
-
5
.
9
1
.
3
-
0
.
6
0
.
4
4
.
0
1
.
0
Jun
-
18
6
.
8
1
.
4
-
5
.
5
1
.
4
-
0
.
3
0
.
4
3
.
8
1
.
1
Jul
-
18
6
.
4
1
.
4
-
5
.
4
1
.
2
-
0
.
3
0
.
4
3
.
9
1
.
1
Aug
-
18
6
.
4
1
.
4
-
5
.
2
1
.
3
-
0
.
3
0
.
4
3
.
7
1
.
1
Sep
-
18
6
.
8
1
.
4
-
5
.
5
1
.
3
-
0
.
4
0
.
4
3
.
8
1
.
0
Oct
-
18
7
.
6
1
.
3
-
6
.
4
1
.
2
-
0
.
6
0
.
4
3
.
9
1
.
0
Nov
-
18
8
.
8
1
.
4
-
7
.
4
1
.
3
-
1
.
2
0
.
4
4
.
6
1
.
1
Dec
-
18
10
.
1
1
.
5
-
8
.
7
1
.
4
-
1
.
3
0
.
3
4
.
8
1
.
2
Jan
-
19
8
.
3
1
.
6
-
7
.
2
1
.
6
-
1
.
2
0
.
4
3
.
8
1
.
3
Feb
-
19
9
.
8
1
.
6
-
9
.
1
1
.
5
-
0
.
6
0
.
3
3
.
3
1
.
0
Mar
-
19
9
.
7
1
.
6
-
9
.
2
1
.
5
-
0
.
4
0
.
2
3
.
0
1
.
0
Apr
-
19
9
.
5
1
.
6
-
9
.
0
1
.
6
-
0
.
2
0
.
3
2
.
9
1
.
0
Table S5: Ditrupa colour variations through the experiment time. The variation of colour parameters ΔE
ab
, ΔL, Δa, Δb is
calculated from the starting of the ageing test in October 2016 (T0) for January 2017 to April 2020.
21
month
ΔE*.SA
ΔE*.SA.SD
ΔL*.SA
ΔL*.SA.SD
Δa*.SA
Δa*.SA.SD
Δb*.SA
Δb*.SA.SD
Jan
-
17
8
.
4
1
.
2
-
7
.
0
1
.
1
0
.
6
0
.
3
4
.
5
0
.
9
Feb
-
17
12
.
8
1
.
0
-
11
.
9
0
.
8
0
.
9
0
.
3
4
.
5
0
.
8
Mar
-
17
1
.
5
0
.
3
-
1
.
2
0
.
5
-
0
.
6
0
.
2
-
0
.
2
0
.
5
Apr
-
17
0
.
9
0
.
3
-
0
.
4
0
.
6
-
0
.
5
0
.
2
-
0
.
2
0
.
5
May
-
17
1
.
2
0
.
4
-
0
.
1
0
.
8
-
0
.
7
0
.
2
-
0
.
1
0
.
7
Jun
-
17
1
.
1
0
.
6
-
0
.
5
0
.
8
-
0
.
6
0
.
2
0
.
0
0
.
6
Jul
-
17
1
.
9
0
.
5
-
0
.
8
0
.
4
-
0
.
8
0
.
1
0
.
5
0
.
5
Aug
-
17
4
.
0
1
.
6
-
2
.
6
1
.
1
-
2
.
0
0
.
7
2
.
1
1
.
5
Sep
-
17
6
.
0
1
.
9
-
3
.
8
1
.
2
-
2
.
6
0
.
7
3
.
6
1
.
8
Oct
-
17
11
.
4
2
.
4
-
8
.
0
1
.
6
-
2
.
6
0
.
9
7
.
6
2
.
0
Nov
-
17
18
.
3
2
.
5
-
15
.
1
1
.
9
-
1
.
6
0
.
9
10
.
0
2
.
2
Dec
-
17
8
.
3
2
.
1
-
6
.
8
1
.
5
-
2
.
4
0
.
6
3
.
8
1
.
9
Jan
-
18
15
.
5
4
.
4
-
13
.
9
3
.
9
-
1
.
0
0
.
7
6
.
6
2
.
7
Feb
-
18
19
.
0
1
.
6
-
17
.
8
1
.
7
0
.
2
0
.
5
6
.
3
0
.
8
Mar
-
18
6
.
7
1
.
3
-
6
.
5
1
.
3
-
1
.
0
0
.
4
0
.
0
0
.
9
Apr
-
18
6
.
3
1
.
3
-
6
.
1
1
.
3
-
1
.
2
0
.
4
-
0
.
7
0
.
9
May
-
18
6
.
8
1
.
4
-
6
.
6
1
.
4
-
1
.
5
0
.
4
0
.
1
0
.
9
Jun
-
18
6
.
3
1
.
4
-
6
.
1
1
.
4
-
1
.
3
0
.
4
-
0
.
4
1
.
0
Jul
-
18
6
.
1
1
.
3
-
6
.
3
1
.
4
-
1
.
3
0
.
4
-
0
.
5
1
.
0
Aug
-
18
6
.
0
1
.
5
-
5
.
8
1
.
4
-
1
.
2
0
.
4
-
0
.
4
1
.
0