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手持式激光诱导击穿光谱法分离皮革、合成革和聚合物。

Separation of Leather, Synthetic Leather and Polymers Using Handheld Laser-Induced Breakdown Spectroscopy.

机构信息

Institut des Sciences Analytiques, ISA UMR 5280, CNRS, Université Claude Bernard Lyon1, 69622 Villeurbanne, France.

IDS Foods, 5 Av. Lionel Terray, 69330 Meyzieu, France.

出版信息

Sensors (Basel). 2023 Feb 28;23(5):2648. doi: 10.3390/s23052648.

DOI:10.3390/s23052648
PMID:36904850
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10007104/
Abstract

Genuine leather is produced from animal skin by chemical tanning using chemical or vegetable agents, while synthetic leather is a combination of fabric and polymer. The replacement of natural leather by synthetic leather is becoming more difficult to identify. In this work, Laser Induced Breakdown Spectroscopy (LIBS) is evaluated to separate between very similar materials: leather, synthetic leather, and polymers. LIBS is now widely employed to provide a specific fingerprint from the different materials. Animal leathers processed with vegetable, chromium, or titanium tanning were analyzed together with polymers and synthetic leather from different origins. The spectra exhibited typical signatures from the tanning agents (Cr, Ti, Al) and the dyes and pigments, but also from polymer characteristic bands. The principal factor analysis allowed to discriminate between four main groups of samples representing the tanning processes and the polymer or synthetic leather character.

摘要

真皮是通过使用化学或植物试剂的化学鞣制从动物皮中制成的，而合成革是织物和聚合物的组合。合成革替代天然皮革的现象越来越难以识别。在这项工作中，评估了激光诱导击穿光谱（LIBS）来分离非常相似的材料：皮革、合成革和聚合物。LIBS 现在被广泛用于提供不同材料的特定指纹。对用植物、铬或钛鞣制的动物皮革以及来自不同来源的聚合物和合成革进行了分析。光谱显示出鞣制剂（Cr、Ti、Al）和染料和颜料的典型特征，也显示出聚合物特征带。主成分分析允许区分代表鞣制过程和聚合物或合成革特性的四个主要样品组。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb00/10007104/1316d8576c3e/sensors-23-02648-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb00/10007104/0d3cc5202f8e/sensors-23-02648-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb00/10007104/db2789a2a1f1/sensors-23-02648-g005a.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb00/10007104/a7080b4be5f0/sensors-23-02648-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb00/10007104/1316d8576c3e/sensors-23-02648-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb00/10007104/0d3cc5202f8e/sensors-23-02648-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb00/10007104/88689f6fba70/sensors-23-02648-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb00/10007104/2307cc2336bc/sensors-23-02648-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb00/10007104/b9499cd32d46/sensors-23-02648-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb00/10007104/db2789a2a1f1/sensors-23-02648-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb00/10007104/38508683cfcd/sensors-23-02648-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb00/10007104/a7080b4be5f0/sensors-23-02648-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb00/10007104/1316d8576c3e/sensors-23-02648-g008.jpg

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J Hazard Mater. 2021 Jun 15;412:125280. doi: 10.1016/j.jhazmat.2021.125280. Epub 2021 Jan 30.
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Tea geographical origin explained by LIBS elemental profile combined to isotopic information.利用 LIBS 元素谱结合同位素信息解释茶叶的地理起源。
Talanta. 2020 May 1;211:120674. doi: 10.1016/j.talanta.2019.120674. Epub 2019 Dec 28.
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Machine Learning Allows Calibration Models to Predict Trace Element Concentration in Soils with Generalized LIBS Spectra.
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Sci Rep. 2019 Aug 6;9(1):11363. doi: 10.1038/s41598-019-47751-y.
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Coffee arabica adulteration: Detection of wheat, corn and chickpea.阿拉比卡咖啡掺伪的检测：小麦、玉米和鹰嘴豆。
Food Chem. 2018 Oct 30;264:142-148. doi: 10.1016/j.foodchem.2018.05.037. Epub 2018 May 5.
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