中国司法鉴定Issue(1)：37-44,8.DOI:10.3969/j.issn.1671-2072.2025.01.005
基于GA-RF的不同人群手足气味特征组分识别刻画研究
Study on Characterization of Hand and Foot Odor in Different Populations Based on Genetic Algorithm-Random Forest
摘要
Abstract
Objective To identify and screen characteristic volatile components in human hand and foot odors associated with gender and age,thereby characterizing the attributes of different population groups.Methods Thermal desorption-gas chromatography-mass spectrometry(TD-GC-MS)was used to analyze the volatile compounds from human hands and feet.Single-factor and multi-factor analyses were used to identify different components related to gender and age across various populations.Genetic algorithm-random forest(GA-RF)machine learning techniques were used to predict the characteristic components of different genders and ages,and to construct a classification model.Results A total of 304 volatile components were identified from human hand and foot odors.They were discerned through t-tests and orthogonal partial least squares-discriminant analysis(OPLS-DA).Components with P<0.05 and VIP>1 were selected.Genetic algorithm(GA)was used to optimize random forest(RF)to construct a judgment model.The accuracies of gender identification using hand and foot features were 92.02%and 81.46%,respectively,and those for age identification were 76.13%and 73.49%,respectively.Conclusion Based on statistics and GA-RF machine learning methods,gender and age difference markers in human hand and foot odor were screened,and a prediction model was constructed,providing a novel approach for the biometric characterization of human odor in forensic science.关键词
热解吸/气相色谱-质谱法/手足气味特征/遗传算法/随机森林/识别Key words
thermal desorption/gas chromatography-mass spectrometry(GC-MS)/hand and foot odor/genetic algorithm(GA)/random forest(RF)/identification分类
政治法律引用本文复制引用
张宇,胡晓光,宋歌,董林沛,赵鹏,张云峰,任昕昕..基于GA-RF的不同人群手足气味特征组分识别刻画研究[J].中国司法鉴定,2025,(1):37-44,8.基金项目
国家重点研发计划项目(2022YFC3320700) （2022YFC3320700）
北京市科技新星计划(20230484316). （20230484316）
