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首页> 外文期刊>Spectrochimica Acta, Part B. Atomic Spectroscopy >Laser-induced breakdown spectroscopy and chemometrics for classification of toys relying on toxic elements
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Laser-induced breakdown spectroscopy and chemometrics for classification of toys relying on toxic elements

机译:激光诱导击穿光谱学和化学计量学对依赖有毒元素的玩具进行分类

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摘要

Quality control of toys for avoiding children exposure to potentially toxic elements is of utmost relevance and it is a common requirement in national and/or international norms for health and safety reasons. Laser-induced breakdown spectroscopy (UBS) was recently evaluated at authors' laboratory for direct analysis of plastic toys and one of the main difficulties for the determination of Cd, Cr and Pb was the variety of mixtures and types of polymers. As most norms rely on migration (lixiviation) protocols, chemometric classification models from LIBS spectra were tested for sampling toys that present potential risk of Cd, Cr and Pb contamination. The classification models were generated from the emission spectra of 51 polymeric toys and by using Partial Least Squares -Discriminant Analysis (PLS-DA), Soft Independent Modeling of Class Analogy (SIMCA) and K-Nearest Neighbor (KNN). The classification models and validations were carried out with 40 and 11 test samples, respectively. Best results were obtained when KNN was used, with corrected predictions varying from 95% for Cd to 100% for Cr and Pb.
机译:避免儿童暴露于潜在有毒元素的玩具质量控制至关重要,出于健康和安全原因,这是国家和/或国际规范中的普遍要求。最近在作者的实验室中对激光诱导击穿光谱法(UBS)进行了评估,以直接分析塑料玩具,而测定Cd,Cr和Pb的主要困难之一是混合物的种类和聚合物类型。由于大多数规范都依赖于迁移(浸析)协议,因此对来自LIBS光谱的化学计量学分类模型进行了测试,以对可能存在Cd,Cr和Pb污染风险的玩具进行采样。分类模型是根据51个聚合物玩具的发射光谱并使用偏最小二乘判别分析(PLS-DA),类比法软独立建模(SIMCA)和K最近邻居(KNN)生成的。分类模型和验证分别使用40个和11个测试样本进行。使用KNN可获得最佳结果,校正后的预测值从Cd的95%到Cr和Pb的100%不等。

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