4.6 Article

Chemometric Tools to Point Out Benchmarks and Chromophores in Pigments through Spectroscopic Data Analyses

期刊

MOLECULES
卷 27, 期 1, 页码 -

出版社

MDPI
DOI: 10.3390/molecules27010163

关键词

ancient pigments; spectroscopic techniques; chemometrics discrimination; elemental and molecular benchmarks

资金

  1. MIUR [AIM1808223, 407/2018]
  2. project Development and Application of Innovative Materials and processes for the diagnosis and restoration of Cultural Heritage-DELIAS [PON03PE 00214 2]

向作者/读者索取更多资源

This study presents a systematic classification method for natural powdered pigments using a multi-instruments spectroscopic study. The methodology allows for quick identification of unknown pigments and their recipes by accessing elementary and molecular unique benchmarks. The impact of different spectroscopic techniques and instrument setups is evaluated, opening new frontiers in dataset spectroscopic analyses.
Spectral preprocessing data and chemometric tools are analytical methods widely applied in several scientific contexts i.e., in archaeometric applications. A systematic classification of natural powdered pigments of organic and inorganic nature through Principal Component Analysis with a multi-instruments spectroscopic study is presented here. The methodology allows the access to elementary and molecular unique benchmarks to guide and speed up the identification of an unknown pigment and its recipe. This study is conducted on a set of 48 powdered pigments and tested on a real-case sample from the wall painting in S. Maria Delle Palate di Tusa (Messina, Italy). Four spectroscopic techniques (X-ray Fluorescence, Raman, Attenuated Total Reflectance and Total Reflectance Infrared Spectroscopies) and six different spectrometers are tested to evaluate the impact of different setups. The novelty of the work is to use a systematic approach on this initial dataset using the entire spectroscopic energy range without any windows selection to solve problems linked with the manipulation of large analytes/materials to find an indistinct property of one or more spectral bands opening new frontiers in the dataset spectroscopic analyses.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据