分析测试学报2025，Vol.44Issue(12)：2526-2534,9.DOI:10.12452/j.fxcsxb.25010201
机器学习辅助差分拉曼光谱对蓝色中性笔色料的分类研究
Classification of Blue Neutral Pens Using Machine Learning Aided Differential Raman Spectroscopy
黄娟娟 1向万欣 1夏婧竹 2潘建斌3
作者信息
- 1. 湖南警察学院 刑事科学技术系,湖南 长沙 410138
- 2. 中科云析(南京)科技有限公司,江苏 南京 210039
- 3. 南京大学 化学化工学院,江苏 南京 210046
- 折叠
摘要
Abstract
This study employed differential Raman spectroscopy combined with machine learning to classify ink samples from 43 commercially available blue gel pens of different brands and models.Dif-ferential Raman spectra were first acquired to identify characteristic Raman peaks.Based on these spectral profiles,samples were manually categorized into four distinct groups.Subsequent classifica-tion using cluster analysis and random forest algorithms was compared against manual categorization.The random forest model achieved 90.00%classification accuracy.Differential Raman spectroscopy enables rapid,non-destructive analysis of blue gel pen inks.When integrated with random forest al-gorithms,it establishes an effective framework for efficient sample classification.The optimized ran-dom forest model significantly enhances both the speed and accuracy of identifying unknown ink com-pounds through differential Raman spectroscopy,demonstrating strong predictive capability for sam-ple categorization.关键词
光谱/差分拉曼/蓝色中性笔/机器学习/随机森林Key words
spectroscopy/differential Raman/blue neutral pen/machine learning/random for-est分类
化学化工引用本文复制引用
黄娟娟,向万欣,夏婧竹,潘建斌..机器学习辅助差分拉曼光谱对蓝色中性笔色料的分类研究[J].分析测试学报,2025,44(12):2526-2534,9.
