Simonetti Remo, Oliveri Paolo, Henry Adrien, Duponchel Ludovic, Lanteri Silvia
Department of Pharmacy, University of Genoa, Via Brigata Salerno 13, 16147 Genoa, Italy; Laboratoire de Spectrochimie Infrarouge et Raman LASIR, CNRS UMR 8516, Université Lille 1 Sciences et Technologies, Bat. C5, 59655 Villeneuve d'Ascq Cedex, France.
Department of Pharmacy, University of Genoa, Via Brigata Salerno 13, 16147 Genoa, Italy.
Talanta. 2016;149:250-256. doi: 10.1016/j.talanta.2015.11.059. Epub 2015 Dec 2.
The potential of FT-NIR and FT-Raman spectroscopies to characterise the gum applied on the backside of ancient stamps was investigated for the first time. This represents a very critical issue for the collectors' market, since gum conditions heavily influence stamp quotations, and fraudulent application of synthetic gum onto damaged stamp backsides to increase their desirability is a well-documented practice. Spectral data were processed by exploratory pattern recognition tools. In particular, application of principal component analysis (PCA) revealed that both of the spectroscopic techniques provide information useful to characterise stamp gum. Examination of PCA loadings and their chemical interpretation confirmed the robustness of the outcomes. Fusion of FT-NIR and FT-Raman spectral data was performed, following both a low-level and a mid-level procedure. The results were critically compared with those obtained separately for the two spectroscopic techniques.
首次研究了傅里叶变换近红外光谱（FT-NIR）和傅里叶变换拉曼光谱（FT-Raman）对古代邮票背面所涂胶水进行表征的潜力。这对集邮市场来说是一个非常关键的问题，因为胶水状况严重影响邮票报价，并且在受损邮票背面欺诈性地涂抹合成胶水以提高其吸引力是一种有充分记录的行为。光谱数据通过探索性模式识别工具进行处理。特别是，主成分分析（PCA）的应用表明，这两种光谱技术都能提供有助于表征邮票胶水的有用信息。对主成分分析载荷及其化学解释的检验证实了结果的可靠性。按照低层次和中层次程序对傅里叶变换近红外光谱和傅里叶变换拉曼光谱数据进行了融合。将结果与两种光谱技术单独获得的结果进行了严格比较。
