2009
DOI: 10.1007/s00216-009-3108-y
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Non-invasive identification of organic materials in wall paintings by fiber optic reflectance infrared spectroscopy: a statistical multivariate approach

Abstract: The aim of this study is to develop a method for the non-invasive and in situ identification of organic binders in wall paintings by fiber optic mid-FTIR reflectance spectroscopy. The non-invasive point analysis methodology was set-up working on a wide set of wall painting replicas of known composition and using statistical multivariate methods, in particular principal component analysis (PCA), for the interpretation, understanding, and management of data acquired with reflectance mid-FTIR spectroscopy. Result… Show more

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Cited by 74 publications
(53 citation statements)
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“…These band characteristics seem to originate in a contribution of diffusely reflected radiation, which is increased, if the surface roughness is comparable to the infrared wavelength. 4,10 Below 1700 cm -1 absorption index spectra showed more similarities to the spectra measured in the transmission mode, as shown in the Figures 2 and 3.…”
Section: Lead White In Various Binderssupporting
confidence: 55%
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“…These band characteristics seem to originate in a contribution of diffusely reflected radiation, which is increased, if the surface roughness is comparable to the infrared wavelength. 4,10 Below 1700 cm -1 absorption index spectra showed more similarities to the spectra measured in the transmission mode, as shown in the Figures 2 and 3.…”
Section: Lead White In Various Binderssupporting
confidence: 55%
“…4,8 Actually the reflection spectrum of azurite with Arabic gum clearly showed the aforementioned bands and the ν 3 vibration was registered inverted, as it is the case for other typical bands of azurite at 956 and 838 cm -1 ( Figure 13). Contrary, the absorption index spectrum showed no typical bands for azurite and it may be presumed that the diffuse reflection had a high influence during the measurement of this sample.…”
Section: Azuritementioning
confidence: 80%
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