Literature DB >> 29701294

Pigment and Binder Concentrations in Modern Paint Samples Determined by IR and Raman Spectroscopy.

Rita Wiesinger1, Laura Pagnin1, Marta Anghelone1, Ligia M Moretto2, Emilio F Orsega2, Manfred Schreiner1.   

Abstract

Knowledge of the techniques employed by artists, such as the composition of the paints, colour palette, and painting style, is of crucial importance not only to attribute works of art to the workshop or artist but also to develop strategies and measures for the conservation and restoration of the art. While much research has been devoted to investigating the composition of an artist's materials from a qualitative point of view, little effort has been made in terms of quantitative analyses. This study aims to quantify the relative concentrations of binders (acrylic and alkyd) and inorganic pigments in different paint samples by IR and Raman spectroscopies. To perform this quantitative evaluation, reference samples of known concentrations were prepared to obtain calibration plots. In a further step, the quantification method was verified by additional test samples and commercially available paint tubes. The results obtained confirm that the quantitative method developed for IR and Raman spectroscopy is able to efficiently determine different pigment and binder concentrations of paint samples with high accuracy.
© 2018 The Authors. Published by Wiley-VCH Verlag GmbH & Co. KGaA.

Entities:  

Keywords:  FTIR spectroscopy; Raman spectroscopy; acrylic and alkyd binders; inorganic pigments; modern paints

Year:  2018        PMID: 29701294      PMCID: PMC6032916          DOI: 10.1002/anie.201713413

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


In the last few decades, the field of heritage science of contemporary art has become very important at the international level due to the importance of preserving modern cultural heritage with suitable science‐based treatments.1 With the development of synthetic organic chemistry at the beginning of the 20th century, many different kinds of organic materials have been used for the creation of artistic objects; among the most employed in the field of art are alkyd and acrylic polymers that are largely used as binders. Alkyd binders are oil‐modified polyester resins made up of a polyhydric alcohol (or polyol) and a polybasic carboxylic acid.2 The majority of alkyd paints uses glycerol or pentaerythritol as a polyol and phthalic anhydride as the polybasic acid. The addition of oil and free fatty acids allows a flexible polymer suitable for a paint film to be obtained.3 Due to their low costs and fast drying times combined with good optical properties, these polymers have become the modern substitutes of traditional drying oils.4 However, the most common and versatile synthetic polymers are the acrylates. Acrylic copolymers, usually composed of methyl methacrylate (MMA) and either ethyl acrylate (EA) or n‐butyl acrylate (nBA), are often used as painting binding media.2 Their stability, excellent optical and mechanical properties, and rapid drying have made them the most used synthetic polymeric binders in the field of art materials.4 The synthetic inorganic pigments chosen in this study, namely, artificial ultramarine blue, hydrated chromium oxide green, and cadmium sulphide, represent 80 % of the inorganic pigments presently used in the world.5 Compared to dyes of organic origin, they are made of grains of insoluble materials in a dispersing phase, forming a suspension of different consistency.6 The three pigments selected possess high chemical and physical stability, making them the most suitable pigments for quantitative analysis.7 The qualitative identification of binders and pigments in paints by non‐invasive analytical techniques is currently highly elaborated.8, 9 Methods such as IR and Raman spectroscopies, as well as X‐ray fluorescence, which does not require sample removal from the art object and allows investigations in situ, are the methods of choice for qualitative analyses of pigments and binders.8, 9, 10 Concerning the quantification of paint mixture components and their ratios by non‐invasive techniques, relatively little research has been done.11, 12 The aim of this study was to explore the potential of ATR (attenuated total reflectance)‐FTIR and Raman spectroscopies to quantify the relative concentrations of pigments and binders in paint samples. Samples of known pigment and binder concentrations were prepared and analysed by ATR‐FTIR and Raman spectroscopies in order to find a fitting quantification method. In a further stage, characteristic spectral features that may act as signatures for the composition of pigment and binder had to be defined. To create calibration curves, the integration method to obtain the spectral band areas ascribed to different pigments and binders had to be evaluated. As a proof of concept, the quantification method was tested by additionally prepared samples and a commercially available paint tube, where we could show that the proposed method can be used to quantify the composition of two‐component paint mixtures. To obtain detailed information about the pigments and binders under consideration, their chemical identification is necessary. This evaluation is not only important for qualitative analysis but also fundamental for developing a fitting quantitative method. In the first step, the pure pigments (PG18, PB29, and PY37) and binders (alkyd and acrylic) were analysed by ATR‐FTIR and Raman spectroscopies (see the Experimental Section, Table S1 and Figures S1–S4 in the Supporting Information), and the chemical species identified (Table 1, Table 2, Table 3, Table 4).
Table 1

ATR‐FTIR band assignment of pigments.3, 8, 10, 13, 14

PigmentsWavenumber [cm−1]Assignment
PY37<600below detector cut‐off
PB29981Si−O vibrations
PG183077O−H vibrations
547‐483Cr−O vibrations
Table 2

Raman shift assignment of pigments.15, 16, 17

PigmentsWavenumber [cm−1]Assignment
PY37290optical longitudinal mode
5952° optical longitudinal mode
PB29255lazurite δ (S3 )
547lazurite ν (S3 )
1097lazurite ν (S3 )
PG18488hydrated oxide
578hydrated oxide
271hydrated oxide
Table 3

ATR‐FTIR band assignment of binding media.3, 18, 19, 20, 21

Acrylic Plextol D498wavenumber [cm−1]Alkyd Medium 4wavenumber [cm−1]Absorption bandassignment
2955–28742925–2854C−H stretching (sym‐asym)
17261720(oil and phthalate)C=O stretching
1450C−H bendingC−H bending
1237–11441250(phthalate)C−O−C stretching (asym)
1170(oil)C−O stretching
1114(phthalate)C−O−C stretching (sym)
1069(phthalate)C=C unsaturated in‐plane deformation
747–709(phthalate)aromatic out‐of‐planebending
Table 4

Raman shift assignment of binding media.20, 22

Acrylic Plextol D498wavenumber [cm−1]Alkyd Medium 4wavenumber [cm−1]Band assignment
594C=O bending
651C=O wag
808–839C−H rock
873C−O−C stretching, symm. (aliph. ether)
1003–1042ring breathing(o‐phthalate)
1166C−O stretching (alcohol)
12991299C−H twist/rock
14491442C−H bending
1601C=C stretching (aromatic)
17261725C=O stretching
2854C−H stretching(−CH2− symm.)
2876C−H stretching (−CH3)
29332900C−H stretching(−CH2− asymm.)
3070C−H stretching (aromatic)
ATR‐FTIR band assignment of pigments.3, 8, 10, 13, 14 Raman shift assignment of pigments.15, 16, 17 ATR‐FTIR band assignment of binding media.3, 18, 19, 20, 21 Raman shift assignment of binding media.20, 22 During the qualitative analysis, differences between ATR‐FTIR and Raman spectroscopy measurements are observed, depending on the type of pigment and binder. In the ATR‐FTIR results, the two binders considered in this study are distinguished by the presence of the phthalic component in the alkyd binder (1254–1069–747–709 cm−1). With Raman spectroscopy, this distinction is more detailed, as the different polarizabilities of the two binders’ molecules lead to a more specific characterization of the functional groups, which are less visible in the ATR‐FTIR analysis. Regarding the pigments, in the case of ATR‐FTIR, artificial ultramarine blue is only identified by the vibration of the Si−O bond (981 cm−1), while with Raman, it is possible to identify more vibrational modes of the molecule (255–547–1097 cm−1). Using this technique, it is also possible to distinguish artificial ultramarine blue from the natural one.15 In the case of hydrated chromium oxide green, the identification is more simple by ATR‐FTIR spectroscopy, which characterizes both the hydrated part of the molecule (3077 cm−1) and the vibration of the oxide bond (547–483 cm−1). With Raman, however, this attribution is not yet completely clear and generally, the two resulting bands are attributed to the hydrated oxide part.16 Finally, the cadmium sulfide yellow pigment can only be identified by Raman spectroscopy, as this pigment has no absorption bands in the mid‐IR region.23 After qualitative characterization of the materials used for the test samples by ATR‐FTIR and Raman spectroscopies, a quantitative analysis method was established. This requires a detailed study of the spectral features that may act as signatures of composition (pigment and binder concentrations). For this reason, samples with different pigment/binder ratios were prepared (Tables 9 and 10) and subsequently analysed by ATR‐FTIR and Raman spectroscopy. The method proposed for a precise and accurate determination of the relative concentration of binders and pigments is common for both techniques and is based on the best possible calibration curves obtained by the homemade reference samples of known pigment and binder concentration. For this, it is assumed that the area of each spectral band is directly proportional to the concentration of the chemical group associated with it24 and hence their relationship is represented by a straight line with the equation y=m  x. Straight line calibrations can be obtained by linear regression of the experimental points representing the ATR‐FTIR or Raman spectral band area versus the relative concentration of the corresponding pigment or binder present in a mixture of reference samples. It has to be taken into account that the value of the area of any spectral band depends on the choice of the baseline used for the integration. Usually, the baseline for integration is calculated automatically by the specific software of the IR and Raman spectroscopy instruments applied. It is defined on the basis of standard values of the range of the absorption bands in the mid‐IR or Raman shifts characteristic of the vibrational mode of the chemical group responsible for the band. To better estimate the quality of the automated baseline integration from the software, it was compared to manually choosing the baseline integration, which is discussed later.
Table 9

Mixtures of reference and test samples (bold) indicating sample name, mixing ratio and addition of H2O.

Mock‐upsSample nameRatio (P/BM)w/w [g]H2O
Plextol D498+PG18C71:210 %
Plextol D498+PG18C81:312.5 %
Plextol D498+PG18C91:614.3 %
Plextol D498+PG18GP11:1514.3 %
Plextol D498+PG18GP31:110 %
Plextol D498+PG18 GP2 1:6 12.5 %
Plextol D498+PB29C11:2
Plextol D498+PB29C21:3
Plextol D498+PB29C31:6
Plextol D498+PB29BP11:5
Plextol D498+PB29BP31:7
Plextol D498+PB29 BP2 1:2
Plextol D498+PY37C131:210 %
Plextol D498+PY37C141:312.5 %
Plextol D498+PY37C151:614.3 %
Plextol D498+PY37YP11:110 %
Plextol D498+PY37YP31:1014.3 %
Plextol D498+PY37 YP2 1:0.5 12.5 %
Alkyd Medium 4+PG18NC101:2
Alkyd Medium 4+PG18NC111:3
Alkyd Medium 4+PG18NC121:6
Alkyd Medium 4+PG18GA11:1
Alkyd Medium 4+PG18GA31:5
Alkyd Medium 4+PG18 GA2 1:2
Alkyd Medium 4+PB29NC41:2
Alkyd Medium 4+PB29NC51:3
Alkyd Medium 4+PB29NC61:6
Alkyd Medium 4+PB29BA21:1
Alkyd Medium 4+PB29BA31:5
Alkyd Medium 4+PB29 BA1 1:2
Alkyd Medium 4+PY37NC161:2
Alkyd Medium 4+PY37NC171:3
Alkyd Medium 4+PY37NC181:6
Alkyd Medium 4+PY37YA21:1
Alkyd Medium 4+PY37YA31:0.5
Alkyd Medium 4+PY37 YA1 1:2
Table 10

Additional prepared test samples.

Mock‐upsSamplenameRatio (P/BM)w/w in g
Plextol D498+PB29B11:3
Alkyd Medium 4+PB29B21:0.7
Plextol D498+PG18G11:1.2
Alkyd Medium 4+PG18G21:1.5
Plextol D498+PY37Y11:0.4
Alkyd Medium 4+PY37Y21:0.7
Figure 1 depicts the manually chosen integration range for the ATR‐FTIR spectral bands of the test samples (C7–C9, Table 9), containing different ratios of acrylic binder (Plextol D498) and hydrated chromium oxide green (PG18) as a pigment. The grey areas represent the bands for the main functional groups of the acrylic binder, and the green ones represent the bands of the hydrated chromium oxide green pigment. It is clearly visible that with an increasing amount of binder in the mixture (C7
Figure 1

Calculated band areas of ATR‐FTIR spectra of the reference samples with a pigment/binder ratio of 1:2 (C7), 1:3 (C8), and 1:6 (C9): the grey areas represent bands of acrylic binder (Plextol D498), and the black ones represent the bands of hydrated chromium oxide green pigment (PG18).

Calculated band areas of ATR‐FTIR spectra of the reference samples with a pigment/binder ratio of 1:2 (C7), 1:3 (C8), and 1:6 (C9): the grey areas represent bands of acrylic binder (Plextol D498), and the black ones represent the bands of hydrated chromium oxide green pigment (PG18). The calibration lines were developed for six different pigment and binder combinations, and for each one, five different P/BM ratios were considered. Table 5 shows the composition of the sample mixtures used for the calibration linear equation and the related R2 values for the automated software baseline integration and the optimized ones (Table 5, values A and B, respectively). The comparison of R2 values A and B clearly shows higher R2 values for the optimized ones, for all mixtures. An example of the obtained calibration curves is presented in Figure 2. It shows the linear trend for the binder (a) and pigment (b) calculated from the ATR‐FTIR spectra which were obtained from 5 different test sample mixtures of PG18 and Plextol D498 (Table 9: C7–C9, GP1, GP3). The straight line equation represents the best linear fitting of the points with zero‐crossing of the intercept. The calibration curves for the other pigments obtained by ATR‐FTIR and Raman spectroscopic measurements are shown in Figures S6–S9.
Table 5

Comparison of the correlation coefficients R2 of the linear calibration obtained by integration of the spectral bands based on the wavenumber ranges determined by the software (A) and on those optimized by the above‐described procedure (B).

Ratio(Table 9)ComponentsBinder/PigmentMethodR2 coefficient valuesB range[cm−1]
AB
C1C2C3BP1BP3acrylic binderATR‐FTIR0.973580.999582980–2711
Raman
artificial ultramarine blueATR‐FTIR0.975670.999561024–875
Raman0.950690.99972357–514
BA2BA3NC4NC5NC6alkyd binderATR‐FTIR0.965950.999772898–2667
Raman
artificial ultramarine blueATR‐FTIR0.971780.999761024–875
Raman0.945810.99962357–514
C7C8C9GP1GP3acrylic binderATR‐FTIR0.959750.99982980–2711
Raman0.970790.999462846–3099
chromium oxide greenATR‐FTIR0.980110.99981669–499
Raman0.974960.99983339–463
GA1GA3NC10NC11NC12alkyd binderATR‐FTIR0.966450.999822898–2667
Raman0.958520.999682853–3056
chromium oxide greenATR‐FTIR0.970990.99954669–499
Raman0.931070.99966339–463
YP1YP3C13C14C15acrylic binderATR‐FTIR0.964440.999672980–2711
Raman0.981810.999332846–3099
cadmium yellowATR‐FTIR
Raman0.961220.9996182–273
YA2YA3NC16NC17NC18alkydic binderATR‐FTIR0.948670.999612898–2667
Raman
cadmium yellowATR‐FTIR
Raman0.958490.9996582–273
Figure 2

Linear calibration (y=m  x) of the Plextol acrylic binder (a) and PG18 (hydrated chromium oxide green) pigment (b) obtained by ATR‐FTIR results of the reference samples (C7–C9, GP1, GP3, see Table 9): a) Plextol band areas of the main functional groups of acrylic binder versus relative concentration of binder of the reference samples. b) PG18 band areas of the main functional groups of hydrated chromium oxide green versus relative concentration of PG18 of the reference samples. Grey and black dotted lines represent the prediction and confidence bands, respectively.

Linear calibration (y=m  x) of the Plextol acrylic binder (a) and PG18 (hydrated chromium oxide green) pigment (b) obtained by ATR‐FTIR results of the reference samples (C7–C9, GP1, GP3, see Table 9): a) Plextol band areas of the main functional groups of acrylic binder versus relative concentration of binder of the reference samples. b) PG18 band areas of the main functional groups of hydrated chromium oxide green versus relative concentration of PG18 of the reference samples. Grey and black dotted lines represent the prediction and confidence bands, respectively. Comparison of the correlation coefficients R2 of the linear calibration obtained by integration of the spectral bands based on the wavenumber ranges determined by the software (A) and on those optimized by the above‐described procedure (B). Once the precision of the calibration model with the test samples was verified, it was possible to validate the proposed quantification method by calculating the different relative binder and pigment concentrations of 12 samples prepared by different operators using the same paint materials with different pigment/binder (P/BM) ratios (Tables 9 and 10, Experimental Section, grey part). As an example for the quantification, the test samples G1 and GP2 (Table 9 and 10) were analysed by ATR‐FTIR and Raman spectroscopies, and the integration values were calculated according to the method described before and quantified using the previously obtained straight line calibration. Figure 3 presents the values of the relative concentration of the test samples G1 and GP2, which are determined by the correspondence of the band area values via the linear regression. Hence, from the measured values of the band area (y‐axis), the calculated concentration values (x‐axis) are obtained, together with the uncertainty range given by the prediction bands (95 % probability) of the linear calibration best fit (red lines in Figure 3). To estimate the error made in the determination of the relative concentration of each component, the percentage values of discrepancy between the real value and the calculated one are determined (Table 6). They vary from 2 to 3 % for the binder and pigment of sample G1 for both ATR‐FTIR and Raman measurements and for the pigment of sample GP2 for both techniques. This indicates a contained and well satisfactory dispersion of the data obtained.
Figure 3

Examples of the proposed quantitative method applied to test samples made of Plextol D498 acrylic binder+hydrated chromium oxide green pigment analysed by ATR‐FTIR; the black lines represent the prediction bands. Each calculated value (P) presents a prediction interval with 95 % probability to contain the real value (V). The same evaluation for the Raman spectroscopy results can be found in Figure S10.

Table 6

Comparison of real and calculated concentration values of acrylic green G1 and GP2 test samples.

P/BM ratioReal relativeconcentration values(w/w)Calculatedrelativeconcentration values(w/w)Percentagediscrepancy [%]
ATR‐FTIRRaman
BMPBMPBMPBMP
G11:1.20.550.450.540.442.42.22.92.2
GP21:60.860.140.830.133.812.63.69.8
Examples of the proposed quantitative method applied to test samples made of Plextol D498 acrylic binder+hydrated chromium oxide green pigment analysed by ATR‐FTIR; the black lines represent the prediction bands. Each calculated value (P) presents a prediction interval with 95 % probability to contain the real value (V). The same evaluation for the Raman spectroscopy results can be found in Figure S10. Comparison of real and calculated concentration values of acrylic green G1 and GP2 test samples. Table 7 summarizes the results obtained for the 12 test samples for the validation of the proposed evaluation method. The last column presents the average of the calculated pigment/binder (P/BM) ratio obtained from the calibration linear equation. The results clearly show that the calculated pigment‐to‐binder ratios match very well the ratios calculated in the preparation of the samples. The relative concentration values obtained for binder and pigment in the test samples and the percentage variation can be found in Tables S2,S3.
Table 7

Quantitatively determined pigment and binder fractions of the test samples on the basis of the optimized straight line calibration for both ATR‐FTIR and Raman spectroscopies. Pigment and sample acronyms are defined in Tables 9 and 10.

Test samples
Sample nameBinder (B)Pigment (P)PreparedP/BM ratioCalculatedP/BM ratio
GP2PlextolPG181:6.01:6.45
G1PlextolPG181:1.21:1.22
GA2AlkydPG181:21:2.00
G2AlkydPG181:1.51:1.51
BP2PlextolPB291:21:1.95
B1PlextolPB291:31:3.04
BA1AlkydPB291:21:2.00
B2AlkydPB291:0.71:0.70
YP2PlextolPY371:0.51:0.49
Y1PlextolPY371:0.41:0.38
YA1AlkydPY371:21:2.00
Y2AlkydPY371:0.71:0.68
Quantitatively determined pigment and binder fractions of the test samples on the basis of the optimized straight line calibration for both ATR‐FTIR and Raman spectroscopies. Pigment and sample acronyms are defined in Tables 9 and 10. To further evaluate the accuracy of the quantification method proposed, one commercial paint sample was tested. The sample was produced by the manufacturer Schmincke® and is made of acrylic binder in a mixture of chromium hydrated oxide pigment PG18 (PRIMAcryl, Schmincke) and unknown additives. The manufacturer indicated a P/BM ratio of 1:2.7. The experimental procedure performed was the same procedure used for the analysis of the previous test samples. The binder and pigment relative concentrations were calculated through the straight line calibration equation previously determined. The values obtained are shown in Table 8 (graphical evaluation: Supporting Information Figure S11). For the ATR‐FTIR analysis, a ratio of P/BM 1:2.4 was calculated, and for Raman, 1:2.5 was calculated, which are very close to the values given by the manufacturer. The discrepancy from the real relative concentrations could be because commercial tube paints also contain additives and other organic constituents which were not considered in the test samples and are also not considered clearly in the description of the commercially available material. From these results, it is possible to confirm that the proposed quantitative approach is able to determine with good accuracy the relative concentrations of pigment and binder in commercial tube samples.
Table 8

Comparison of the known and calculated relative concentration values of the Schmincke sample.

SampleP/BM ratioMethodReal con.values(w/w)Calc. con.values(w/w)Percentagediscrepancy[%]
BPBPBP
PRIMAcryl, Schmincke1:2.7ATR‐FTIR0.730.270.7080.2873−6.3
Raman0.730.270.7140.2862.2−5.9
Comparison of the known and calculated relative concentration values of the Schmincke sample. The results presented suggest that it is possible to use FTIR and Raman spectroscopies to obtain reasonable estimates of pigment/binder ratios, e.g., relative concentrations in a paint film, given a suitable set of reference spectra from the test samples prepared over the range of workable mixture compositions. The first aim of this work was to carry out a qualitative analysis using non‐invasive spectroscopic techniques, such as Raman and ATR‐FTIR. The results of this first evaluation allowed identifying and characterizing the spectral features of the different binders and pigments used. This precise identification was of crucial importance to develop a fitting quantitative evaluation for different pigments and binders within paint mixtures. The results impressively show that the real and calculated concentration values have a limited discrepancy in percentages. Moreover, all of the concentration values calculated using the calibration equations fell within the prediction intervals. All these parameters indicate that the quantitative model used for FTIR and Raman spectroscopies is valid, reproducible, and reliable. These findings may extend the utility of IR and Raman measurements in the field of heritage science, by making it possible to characterize artists’ paints in a quantitative way without sampling. While the proof‐of‐concept analyses were promising, more detailed studies will be done to estimate the effects of other variables such as surface texture, pigment particle size and layer thickness, which were not considered in the present study. However, from the promising results obtained, it is expected that the quantification method presented serves as a valuable tool for the investigation of cultural heritage objects. Furthermore, these investigations may contribute to the finding of useful measures for specific conservation and restoration treatments of real art objects and also lead to a better understanding of the chemical degradation processes of such materials.25

Experimental Section

The reference and test samples were prepared with different pigment‐to‐binder ratios (P/BM). After weighing the various amounts of binders and pigments (Supporting Information Table S1), they were mixed with a muller and cast on glass slides. The wet film thickness of these paint samples was 150 μm. In total, 36 samples were prepared, 18 with Plextol D498 mixed with the three different pigments, and the same for Alkyd Medium 4. 30 of these samples were used to represent the references useful for developing the quantitative method. A detailed description can be found in Table 9. To verify the precision and the accuracy of the straight line calibration developed, additional test samples (marked grey), prepared by different operators (Table 9, Table 10), were quantitatively analysed. Mixtures of reference and test samples (bold) indicating sample name, mixing ratio and addition of H2O. Additional prepared test samples.

Conflict of interest

The authors declare no conflict of interest. As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re‐organized for online delivery, but are not copy‐edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors. Supplementary Click here for additional data file.
  9 in total

1.  Library of FT-Raman spectra of pigments, minerals, pigment media and varnishes, and supplement to existing library of Raman spectra of pigments with visible excitation.

Authors:  L Burgio; R J Clark
Journal:  Spectrochim Acta A Mol Biomol Spectrosc       Date:  2001-06       Impact factor: 4.098

2.  On-line FT-Raman and dispersive Raman spectra database of artists' materials (e-VISART database).

Authors:  K Castro; M Pérez-Alonso; M D Rodríguez-Laso; L A Fernández; J M Madariaga
Journal:  Anal Bioanal Chem       Date:  2005-02-24       Impact factor: 4.142

3.  ATR-FT-IR spectroscopy in the region of 500-230 cm(-1) for identification of inorganic red pigments.

Authors:  Signe Vahur; Ulla Knuutinen; Ivo Leito
Journal:  Spectrochim Acta A Mol Biomol Spectrosc       Date:  2009-04-08       Impact factor: 4.098

4.  Analysis of natural and artificial ultramarine blue pigments using laser induced breakdown and pulsed Raman spectroscopy, statistical analysis and light microscopy.

Authors:  I Osticioli; N F C Mendes; A Nevin; Francisco P S C Gil; M Becucci; E Castellucci
Journal:  Spectrochim Acta A Mol Biomol Spectrosc       Date:  2008-12-03       Impact factor: 4.098

5.  ATR-FT-IR spectroscopy in the region of 550-230 cm(-1) for identification of inorganic pigments.

Authors:  Signe Vahur; Anu Teearu; Ivo Leito
Journal:  Spectrochim Acta A Mol Biomol Spectrosc       Date:  2009-12-24       Impact factor: 4.098

6.  ATR-FTIR spectroscopy and quantitative multivariate analysis of paints and coating materials.

Authors:  Philippa Alice Hayes; Signe Vahur; Ivo Leito
Journal:  Spectrochim Acta A Mol Biomol Spectrosc       Date:  2014-05-29       Impact factor: 4.098

7.  Estimation of semiconductor-like pigment concentrations in paint mixtures and their differentiation from paint layers using first-derivative reflectance spectra.

Authors:  Anuradha R Pallipurath; Jonathan M Skelton; Paola Ricciardi; Stephen R Elliott
Journal:  Talanta       Date:  2016-03-16       Impact factor: 6.057

8.  SR-FTIR imaging of the altered cadmium sulfide yellow paints in Henri Matisse's Le Bonheur de vivre (1905-6)--examination of visually distinct degradation regions.

Authors:  Jennifer Mass; Julia Sedlmair; Catherine Schmidt Patterson; David Carson; Barbara Buckley; Carol Hirschmugl
Journal:  Analyst       Date:  2013-08-19       Impact factor: 4.616

9.  Pigment and Binder Concentrations in Modern Paint Samples Determined by IR and Raman Spectroscopy.

Authors:  Rita Wiesinger; Laura Pagnin; Marta Anghelone; Ligia M Moretto; Emilio F Orsega; Manfred Schreiner
Journal:  Angew Chem Int Ed Engl       Date:  2018-05-09       Impact factor: 15.336

  9 in total
  3 in total

1.  Data Fusion Approach to Simultaneously Evaluate the Degradation Process Caused by Ozone and Humidity on Modern Paint Materials.

Authors:  Laura Pagnin; Rosalba Calvini; Katja Sterflinger; Francesca Caterina Izzo
Journal:  Polymers (Basel)       Date:  2022-04-27       Impact factor: 4.967

2.  How Can Ozone and Relative Humidity Affect Artists' Alkyd Paints? A FT-IR and Py-GC/MS Systematic Study.

Authors:  Laura Pagnin; Elisabetta Zendri; Francesca Caterina Izzo
Journal:  Polymers (Basel)       Date:  2022-04-29       Impact factor: 4.967

3.  Pigment and Binder Concentrations in Modern Paint Samples Determined by IR and Raman Spectroscopy.

Authors:  Rita Wiesinger; Laura Pagnin; Marta Anghelone; Ligia M Moretto; Emilio F Orsega; Manfred Schreiner
Journal:  Angew Chem Int Ed Engl       Date:  2018-05-09       Impact factor: 15.336

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.