长春工程学院学报（自然科学版）2025，Vol.26Issue(2)：113-117,5.DOI:10.3969/j.issn.1009-8984.2025.02.019
聚对苯二甲酸-己二酸丁二酯(PBAT)降解塑料拉曼光谱快速检测技术研究
Research on Raman Spectroscopy Rapid Detection Technology for Poly Butylene Adipate Terephthalate(PBAT)Degradable Plastics
王寒冰 1赵婷婷 1杨震 1徐进 1葛磊 1陶红 1张楠1
作者信息
- 1. 吉林省产品质量监督检验院,长春 130103
- 折叠
摘要
Abstract
Using Raman Spectroscopy to establish a data model for rapid detection technology of PBAT doped composites,the most widely used biodegradable material.By preparing PBAT standard samples and PBAT composite degradable standard samples,two typical machine learning algorithm models,Support Vector Machine(SVM)and Extreme Gradient Boosting(XGBoost),are established with high efficiency and accuracy.These models have strong generalization ability and noise resistance while effectively processing high-dimensional spectral data features.Using the Savitzky-Golay filtering algorithm to continuously train and optimize the model,eliminate noise,and ensure consistency in the scale of features from different di-mensions,a comprehensive analysis is conducted to develop a PBAT degradation plastic Raman Spectrosco-py classification model based on SVM and XGBoost.The recognition accuracy of both models is>90%(92.3%and 96.2%),and ROC curve analysis shows extremely high classification reliability.Investigating the spectral effects of different ratios of inorganic excipients,organic excipients and degradable plastic products on PBAT simultaneously,the rapid identification and detection of PBAT degradable plastics is achieved.关键词
降解塑料/数据模型/拉曼光谱/支持向量机/极限梯度提升/快速检测Key words
degraded plastics/data model/Raman Spectroscopy/Support Vector Machine/Extreme Gradient Boosting/rapid detection分类
化学化工引用本文复制引用
王寒冰,赵婷婷,杨震,徐进,葛磊,陶红,张楠..聚对苯二甲酸-己二酸丁二酯(PBAT)降解塑料拉曼光谱快速检测技术研究[J].长春工程学院学报（自然科学版）,2025,26(2):113-117,5.
