4.7 Article

Glass authentication: Laser ablation-inductively coupled plasma mass spectrometry (LA-ICP-MS) for origin discrimination of glass bottles

期刊

TALANTA
卷 235, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.talanta.2021.122686

关键词

LA-ICP-MS; Flacon; Glass; Origin authentication; Inductively coupled plasma mass spectroscopy; Chemometrics

资金

  1. German Research Foundation (Deutsche For-schungsgemeinschaft, DFG)

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Counterfeiting is a widespread issue in industries like cosmetics and art, especially with expensive perfumes and valuable artworks. A study using laser ablation-inductively coupled plasma mass spectrometry successfully differentiated glass from different production sites, offering a new method for detecting counterfeits.
Counterfeiting is an omnipresent issue, among others in the cosmetics industry or on the art market. Particularly in the case of very expensive perfumes or very valuable art objects, counterfeits are strongly represented and are steadily increasing. Typically, the content of perfumes is analyzed, but the bottle offers another level of authentication, as it is an essential part of the product. For art objects made of glass, glass is an essential part of the artwork and thus provides an important contribution to the authenticity of the object . In the present pilot study, we developed a laser ablation-inductively coupled plasma mass spectrometry (LAICP-MS) method to classify glass using perfume bottles manufactured at different production facilities, Germany, India, Peru and Poland as an example. Using minimally invasive laser ablation invisible to the eye, we were able to detect counterfeit flacons without having to open the vials. A total of 63 elements could be recorded during method development. After statistical evaluation (t-test, ANOVA, principal component analysis (PCA)), 15 (Li, Na, Al, Ti, V, Co, Rb, Sr, Mo, Ba, La, Ce, Pr, Er and Pb) significant marker elements were extracted from the data sets to differentiate the different glass origins. By using LDA, six different production sites from four different countries could be differentiated over a sample period of six months with a prediction accuracy of 100%.

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