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向建模致敬!利用衰减全反射傅里叶变换红外光谱法和多元曲线分辨交替最小二乘法对历史羊毛样品上的早期合成染料进行分析

Hats Off to Modeling! Profiling Early Synthetic Dyes on Historic Woolen Samples with ATR-FTIR Spectroscopy and Multivariate Curve Resolution-Alternating Least Square Algorithm.

作者信息

Forleo Tiziana, Giannossa Lorena Carla, De Juan Capdevila Anna, Lagioia Giovanni, Mangone Annarosa

机构信息

Department of Chemistry, University of Bari Aldo Moro, 70126 Bari, Italy.

Institute of Sciences of Food Production, National Research Council (CNR), 70126 Bari, Italy.

出版信息

Molecules. 2024 Sep 30;29(19):4651. doi: 10.3390/molecules29194651.

Abstract

This research focuses on analyzing wool samples dyed with synthetic dyes from the early 20th century. A methodology to identify and distinguish wool fibers dyed with azo, triphenylmethane, and xanthene dyes, which are no longer in use, using the ATR-FTIR spectra, is presented. Firstly, the dataset was subjected to PCA, which revealed the similarities and differences among the samples, illustrating a distribution pattern based on dye classes. MCR-ALS was employed to extract the spectral profiles of the dyed fibers, thereby enhancing the efficacy of the analytical techniques and extracting the comprehensive information from a single instrument. The combination of ATR-FTIR spectroscopy with chemometric methods, such as PCA and MCR-ALS, has proven to be an effective strategy for identifying and differentiating wool fibers dyed with early azo, triphenylmethane, and xanthene dyes. This approach has demonstrated particular effectiveness in enabling rapid analysis without requiring sampling or pretreatment. Moreover, the analysis is supported by thorough bibliographic research on these no longer used colorants. In order to maximize the potential of non-destructive spectroscopic techniques, such as ATR-FTIR, the approach used has proven to be crucial. This study underscores how chemometric techniques expand the capabilities of spectroscopy, extracting extensive information from a single instrument and aligning with the goals of cultural heritage analysis.

摘要

本研究聚焦于分析20世纪初用合成染料染色的羊毛样本。提出了一种利用衰减全反射傅里叶变换红外光谱(ATR-FTIR)来识别和区分不再使用的偶氮染料、三苯甲烷染料和呫吨染料染色的羊毛纤维的方法。首先,对数据集进行主成分分析(PCA),揭示了样本之间的异同,展示了基于染料类别分布模式。采用多元曲线分辨-交替最小二乘法(MCR-ALS)提取染色纤维的光谱特征,从而提高分析技术的效能,并从单一仪器中提取全面信息。ATR-FTIR光谱与主成分分析(PCA)和多元曲线分辨-交替最小二乘法(MCR-ALS)等化学计量学方法相结合,已被证明是识别和区分用早期偶氮、三苯甲烷和呫吨染料染色的羊毛纤维的有效策略。这种方法在无需取样或预处理就能实现快速分析方面显示出特别的有效性。此外,对这些不再使用的着色剂进行了全面的文献研究,为分析提供了支持。为了最大限度地发挥ATR-FTIR等非破坏性光谱技术的潜力,所采用的方法已被证明至关重要。这项研究强调了化学计量学技术如何扩展光谱学的能力,从单一仪器中提取广泛信息,并符合文化遗产分析的目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93cc/11478277/9203a9c7704b/molecules-29-04651-g001.jpg

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