ARCHAEOMETRY

PIXE and pXRF Comparison Analysis of a Mockup Canvas Painting

Appoloni, C. R.; Lopes, F.; Rizzuto, M. A.; Neiva, A. C.; Ikeoka, R. A.; Rizo, M.

DOI 10.5433/1679-0375.2023.v44.47604

Citation Semin., Ciênc. Exatas Tecnol. 2023, v. 44: e47604

Abstract:

For the purposes of comparison among different equipments and laboratories involved in atomic-nuclear methodologies applied in arts and archaeometry, a special mockup canvas painting was made with dozens of pigments of different colors and varnishes of different types and manufacturers. This study evaluate two different XRF equipment and PIXE methods as complementary tools to examine canvas paintings. Twenty-four inorganic substances of this mockup canvas were measured in three different laboratories, LEC, LFNA, and LAMFI for the identification of the key elements. In this paper, net count ratios and standard percentage deviations between lines are shown, as well as examples of sensibility to low-content elements that can be used for distinguishing pigments, and a comparison of the penetration of these techniques. The results show the differences between the pXRF and PIXE methodologies and between the two pXRF geometry/equipments employed.

Keywords: pXRF, PIXE, canvas, painting, pigments

Introduction

The use of non-destructive elemental spectroscopic methods such as X-ray fluorescence spectroscopy and Particle-Induced X-ray Emission (PIXE) is becoming common in the area of art and cultural heritage objects, helping the characterization of the constituents of the artwork as well as the identification of the deterioration processes, in order to choose the better method to conserve them. These techniques are very powerful and important in material characterization, especially for pigments identification (Shaaban et al., 2009; de Viguerie et al., 2010; Caridi et al., 2022; Rizzutto et al., 2014; Hunt & Speakman, 2015; Calligaro et al., 2015; Molari et al., 2023) and for the determination of layers composition and thickness (Neelmeijer et al., 2000).

Strengths of pXRF are the possibility of in situ and non-invasive fast measurements, whereas PIXE requires a much more expensive accelerator facility for laboratory measurements and EDS requires sample removal and preparation, and an expensive equipment compared with pXRF (Rizzutto et al., 2014; Calligaro et al., 2015).

However, as XRF and PIXE techniques are not usually able to identify elements with atomic numbers below 13, pigments are usually not identified by their complete composition, but rather by some key elements. The main purpose of the present study is to verify the sensibility of two Portable X Ray Fluorescence spectroscopy (PXRF) equipment and one PIXE equipment for the identification of the key elements of some important artistic pigments when applied to a typical canvas painting. For this, a mimetic of a canvas painting was constructed trying to cover as much as possible the materials used by painters in antiquity. This paper presents the results of the analysis of twenty-four pigments in this canvas painting, measured in three different laboratories in Brazil: Laboratório de Eletroquímica e Corrosão (LEC), Laboratório de Física Nuclear Aplicada (LFNA) and Laboratório de Análise de Materiais por Feixes Iônicos (LAMFI).

Materials and methods

Mockup canvas preparation

The mockup painting, Figure 1, a complex creation specially prepared for this type of work, was made by Márcia Rizzo on a lined canvas stretched over a stretcher wood. With the exception of three strips on the sides of the canvas, its entire surface received a priming layer with a mixture of animal glue and calcium carbonate (CaCO\(_3\)), as those used by old artists. Over this preparation layer, a standard paint was made using different types of pure pigments, mixed of pigments, inclusions of metals (Ag and Au foils and pieces of metal), alternate layers of pigments and foils, and different kinds of varnishes, totaling six layers of materials. Paraloid B72 dissolved in Xylene was used as a binder.

The proportion of Paraloid was approximately 30% in Xylene. The pigments were mixed with this solution to form a dispersion (paint). The solution and pigment(s) were mixed in a proportion of 50%. The strips in the left and upper sides, without any preparation underlayer, were divided into approximately 40 rectangles, which were covered with different kinds of organic materials and metal foils used by the artists. The bottom side strip was painted with different antique and modern paints and pigments.

The mockup was not subject to any type of aging or treatment, and the paints were analyzed after the mockup was completely dry. The twenty-four inorganic pigments presented in this paper belong to the bottom strip or to the central area of the mockup.

Figure 1 - Mockup canvas painting (34\(\times\)42 cm).

Particle induced X-ray emission - PIXE

PIXE measurements were performed at the Laboratory of Analysis of Materials with Ion Beams (LAMFI-USP). It was used a Van de Graaff accelerator at the Institute of Physics of the University of São Paulo. In this setup, a 6-\(\mu\)m aluminum foil is used as a vacuum window. The painting was placed 6 mm from the vacuum window, and the beam energy at the sample surface was 2.37 MeV (2.6 MeV internal beam energy) with a resolution of 14 keV. The X-ray detector was placed 55 mm from the sample, and the solid angle was geometrically calculated to 2 msr (a collimator was used to restrict the solid angle to avoid the Ar signal from the air). The X-ray detector resolution is 160 eV (FWHM@MnK\(\alpha\)). The system was set to measure each spectrum over 600 seconds (Rizzutto et al., 2005). Experimental set up is shown at Figure 2.

Figure 2 - PIXE experimental set up at LAMFI. The number of some different colors areas are visible.

Portable X-ray fluorescence - pXRF at LFNA

The setup of pXRF equipment installed at the Applied Nuclear Physics Laboratory (Appoloni et al., 2007; Parreira et al., 2019), located at the State University of Londrina in southern Brazil (http://www.uel.br/grupos/gfna), consists of a mini X-ray tube (Moxtek, Inc., 4 W, Ag target) and a Si-drift detector model X123 (Amptek, Inc.) with resolution of 185 eV.

A special Ag filter with a 100\(\mu\)m thickness was used to absorb low energy radiation and an Ag collimator with a 3 mm diameter aperture was applied to diminish the incident radiation that comes from the canvas (Figure 3.

The tube was operated using a 35kV and 5\(\mu\)A, with 300s of excitation-detection time, and geometry was set at 45\(^o\)/45\(^o\), Figure 3.

Figure 3 - pXRF experimental set up at LFNA.

Portable X-ray fluorescence - pXRF at LEC

A semi-portable EDXRF (transportable) spectrometer (Neiva et al., 2006) installed at Laboratório de Eletroquímica e Corrosão (LEC) in the Escola Politécnica da Universidade de São Paulo, composed by an X-ray tube with W anode and a Si-drift Ketek X-ray detector was applied, Figure 4.

Figure 4 - pXRF experimental set up at LEC.

Both incident and detection angles to the painting surface were 45\(^o\), as can be seen in Figure 4. Given this constraint, the geometry was planned so that the air gap between the painting and the detector was as small as possible to minimize absorption by the atmosphere. The incident X-ray beam was collimated to a diameter of 1.5 mm. The X-ray tube was operated at 55 kV, 1.0 mA with a 1.5mm collimator. Each spectrum was taken for 500s.

Results

Table [tab1] shows the list of the measured pigments.

Table [tab2] presents the count ratios between two key elements for each pigment and employed laboratory/technique, where is possible to see the large sensibility differences for the various elements among the employed techniques and equipments, considering also the different composition of the pigments.

One observes that the ratios are quite different for PIXE and pXRF. Ti-K/Ca-K ratio for pigment 45, for instance, is around 40-100 times larger for PIXE than for XRF. This is due to the larger PIXE sensibility at low energies, when compared to pXRF, which makes PIXE more efficient for light elements than pXRF.

On the other hand, pXRF is more efficient for medium and heavy elements than PIXE. This explains the differences between the two methods in ratios observed for the key elements of the pigments.

There is also a small difference of ratios between the two pXRF results. It should be attributed to the different excitation sources (W-tube and Ag-tube, respectively), to the different use of filters (no filter and Ag-filter, respectively), to different detector efficiency curves, and so on.

Table 1 - Measured pigment regions and their number in the painting, grouped by color.
Paint number area at the mockup Pigment commercial name Molecular formula
45 Titanium White TiO2
48 Zinc Yellow CrO4Zn
49 Cadmium Yellow medium CdS
50 Indian Yellow C19H18O11Mg. 5H2O
51 Naples Yellow light Pb3(SbO4)2
52 Cobalt-Turquoise Blue CoO.Al2O3
53 Cerulean Blue CoO.nSnO2
54 Phthalocyanin Greenish Blue Cu(C32H16N8)
55 Artificial Ultramarine Blue Na8-10.Al6Si6O24S2-4
56 Ultramarine Violet Al6Na6O24S8Si6
57 Violet Lac CH2OCOCH3
58 Magenta Lac C2OH12N2O2
59 Manganese Violet (NH4)2Mn2(P2O7)2
60 Cadmium Red medium CdHgS2
61 English Red Fe2O3+CaCO3
62 Iron Red Fe2O3
63 Vermilion HgS
64 Red Cinabrian HgS
65 Cinabrese clays + Fe2O3
68 Ultramarine Green 2NaAlSiO4 Na2S
74 Raw Umber Fe2O3+MnO2 +H2O
76 Cassel Earth FeO-OH+MnO2
77 Black Roman Earth Fe2O3+SiO2+Al2O3+ CaO + MgO
78 Ivory Black Ca3(PO4)2 + C + MgSO4

Table 2 - Elements count ratios for each pigment and employed laboratory/ technique and respective propagated deviations.
LEC - pXRF LFNA - pXRF LAMFI - PIXE
Pigment Peaks Ratio Deviation Ratio Deviation Ratio Deviation
45 Ti-K / Ca-K 3.61 0.38% 9.28 0.83% 398.6 5.9%
48 Zn-K / Cr-K 4.19 0.14% 4.38 0.25% 0.31 0.34%
49 Cd-L / Zn-K 7.39 0.87% 0.87 1.80% 224.2 4.7%
50 Ni-K / Ca-K 6.32 0.38% 8.80 0.20% 4.54 1.7%
51 Pb-L / Sb-L 84.04 0.65% 253.1 1.9% 0.58 0.44%
Pb-L / Ti-K 58.82 0.57% 21.33 0.60% 0.13 0.36%
52 Zn-K / Co-K 2.16 0.29% 1.96 0.47% 0.52 1.1%
Zn-K / Ti-K 1.29 0.27% 1.37 0.41% 0.04 0.93%
53 Sn-K / Co-K 0.81 0.40% 0.10 0.98% 4.40 0.45%
54 Cu-K / Ca-K 0.79 0.52% 1.10 0.78% 0.07 1.3%
Cu-K / Cl-K 4.68 0.87% 7.09 1.6% 0.03 1.3%
55 Fe-K / Ca-K 0.24 1.1% 0.19 1.8% 0.15 2.2%
Fe-K / K-K 13.44 8.2% 8.55 10.0% 0.46 2.7%
56 Fe-K / Ca-K 1.19 1.7% 0.29 2.2% 0.29 3.2%
Fe-K / K-K 6.23 4.9% 4.76 7.4% 0.17 3.0%
57 Ca-K / Fe-K 107.6 2.7% 56.65 4.7% 866.4 8.2%
Fe-K / Cl-K 0.21 3.02% 0.44 4.72% 0.00 8.18%
58 Cu-K / Ni-K 84.21 2.2% 84.54 4.7% 55.05 7.9%
Cu-K / Fe-K 5.53 0.50% 5.47 0.77% 1.52 1.2%
Cu-K / Ca-K 1.90 0.35% 2.00 0.50% 0.13 0.78%
59 Mn-K / Ca-K 5.91 0.42% 4.86 0.64% 15.02 1.1%
Mn-K / P-K 104.53 2.3% 267.59 6.8% 5.55 0.61%
60 Cd-L / Se-K 0.12 0.42% 0.02 1.2% 17.51 1.2%
Cd-L / S-K 69.28 8.9% 14.14 12.9% 5.85 0.87%
61 Fe-K / Ca-K 3.19 0.33% 5.16 0.47% 0.57 0.36%
62 Fe-K / Ca-K 23.50 0.42% 19.12 0.58% 5.28 0.43%
63 Hg-L / S-K 71.16 0.78% 746.19 5.0% 1.05 1.9%
64 Cd-L / Hg-L 0.02 0.36% 0.02 6.4% 7.55 1.3%
Cd-L / Ba-L 0.31 0.44% 0.26 6.4% 0.79 0.86%
Cd-L / S-K 1.18 1.6% 1.07 7.4% 1.29 1.2%
65 Zn-K / Fe-K 13.03 0.36% 14.09 0.58% 0.44 0.67%
68 Ni-K / Co-K 2.61 0.55% 2.34 0.95% 1.47 1.9%
Ni-K / Cr-K 0.36 0.38% 0.34 0.57% 0.06 1.2%
74 Fe-K / Mn-K 7.07 0.30% 7.22 0.50% 4.41 0.44%
76 Fe-K / Ca-K 0.53 0.41% 0.92 0.50% 0.09 0.38%
77 Fe-K / Ca-K 1.96 0.38% 2.16 0.52% 0.26 0.56%
78 Ca-K / Fe-K 31.66 1.3% 26.52 2.1% 294.89 2.4%

One should comment that, when operated at high enough maximum energies, PXRF allows a good detection of K-peaks of elements like Sn, Sb, and Cd, which are present in several pigments.

The areas of these K-peaks were not presented in Table [tab2] (L-peaks were shown instead) because they were not recorded in the PIXE measurements. Another important difference between PIXE and XRF is the penetration depth. As the PIXE analysis-thickness is much smaller than that of PXRF, its results are less affected by underlayers. This effect was clearly observed in the spectra of pigment layers painted over the Bone Glue / Calcium Carbonate layer. These underlayers contained high Ca, Sr, and Zn contents. All the pigment spectra obtained with pXRF presented peaks of these elements, see Figure 5.

Figure 5 - Effect of underlying layers.

PIXE spectra, on the opposite, did not present them. However, the PIXE spectrum for pigment 48 presents a very clear Sr peak. As the other underlayer peaks, Ca and Zn, are not present, one should conclude that in this case, the Sr is present in the pigment layer.

It is important to mention that, although pigments are usually identified by their main elements, sometimes a low-content element can be important for this objective. For instance, the spectra of ultramarine blue (pigment 55, Figures 6 and 7 and ultramarine violet (pigment 56, Figures 8, 9 and 10 are almost similar. However, a small Rb K-peak can be observed only in ultramarine violet, by PXRF (Figures  8 and 9. On the other hand, PIXE allowed the observation of a small K-peak of Cr in ultramarine blue (Figure 7, but not in ultramarine violet (Figure 10.

Figure 6 - Ultramarine Blue, LEC / pXRF spectrum.

Figure 7 - Ultramarine Blue, LAMFI / PIXE spectrum.

Figure 8 - Ultramarine Violet, LEC / pXRF spectrum.

Figure 9 - Ultramarine violet, LFNA / pXRF spectrum.

Figure 10 - Ultramarine Violet, LAMFI / PIXE spectrum.

Conclusions

The constructed mockup of a canvas painting is a very good object for testing different methodologies of painting characterization. The pXRF’s and PIXE measurement presented a good complementary analysis of the pigments. The two employed pXRF equipments allowed an interesting comparison between a low-power one, at LFNA, with 175mW, and the LEC system, with 55W. PIXE and XRF are complementary in specific cases. For example, if are need both low-energy lines and high-energy lines from the same element, or from different elements. In the case of the two pXRF, it is possible to avoid misleading escape peaks (e.g., from Fe in samples where it is wanted to measure V or Ti) by changing the excitation voltage or also enhancing some element’s relative excitation by changing the X-ray tube anode from Ag to W or vice-versa.

Author contributions

C.R. Appoloni participated in: supervision, conceptualization, methodology, data curation, analysis, investigation, original draft preparation, writing, review and editing. F. Lopes participated in: data curation, analysis, investigation. M.A. Rizzutto participated in: conceptualization, methodology, data curation, analysis, investigation, writing. A.C. Neiva participated in: conceptualization, methodology, data curation, analysis, investigation, writing. R.A. Ikeoka participated in: data curation, analysis. M. Rizzo participated in: methodology, writing.

Conflicts of interest

The authors declare no conflict of interest.

Acknowledgments

Authors acknowledge CAPES, FAPESP and CNPq.

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