现代纺织技术2025，Vol.33Issue(5)：1-9,9.DOI:10.19398∕j.att.202407046
气味指纹图谱技术在纺织品检测中的应用
The application of odor fingerprinting technology in textile testing
摘要
Abstract
Accurate identification of textile odor is important for regulating the market and monitoring the printing,dyeing and finishing processes of production.Traditional detection methods face many challenges,and odor fingerprinting technology has become a cutting-edge detection technology due to its objectivity,reliability and high reproducibility.This technique not only efficiently detects the volatile components of samples but also facilitates rapid,non-destructive,and accurate analysis of characteristic odorants.This paper reviews the basic principles of odor fingerprinting technology and its application in textile testing,ultimately aiming to provide novel insights and ideas for textile odor detection. Odor fingerprinting technology mainly includes electronic nose technology and gas chromatography-mas spectrometry(GC-MS).Electronic nose,as a bionic detection tool,can fully capture the odor characteristics of th sample and quickly analyze the odor components through the gas sensor array,which is suitable for textile fibe identification,volatile organic gas detection and textile fragrance persistence assessment.GC-MS integrates th advantages of gas chromatography and mass spectrometry,and is widely used in the identification of textile odors evaluation of deodorization performance,and detection of chemical residues.However,the accuracy of GC-M depends on sample pretreatment techniques,such as ultrasonic-assisted extraction,accelerated solvent extraction and headspace solid-phase microextraction.In this paper,the relevant studies and results of these techniques ar summarized.In addition,new techniques such as headspace gas-phase ion mobility spectrometry and ga chromatography-olfactometry have been used for textile odor analysis,providing new perspectives for th identification of odor components.Current research in odor fingerprinting technology focuses on the improvement o electronic nose sensor arrays and sample preparation methods for textile volatile compounds.Electronic nose sensor have been enhanced by increasing sensor types and optimizing materials to improve detection sensitivity,while GC MS is mainly used to detect residual compounds in textiles,such as printing and dyeing auxiliaries,pesticid residues and flame retardants. Although odor fingerprinting technology has been applied in textile odor detection,it still faces challenges such s complex data classification and insufficient characterization of feature information.In the future,there is a need o further develop the odor fingerprint database,systematically classify textiles,and establish standardized methods o ensure the consistency and comparability of odor data.Due to the complexity of odor formation,it is necessary to omprehensively use multidimensional analysis techniques to comprehensively reveal the chemical composition of dors.With the development of computer technology,a variety of data processing methods can be employed to chieve feature extraction and pattern recognition of large-scale odor fingerprint data,so as to deeply analyze the patterns and characteristics of odor fingerprint data.关键词
纺织品检测/气味指纹图谱/电子鼻/气相色谱质谱联用Key words
textile testing/odor fingerprinting technology/electronic nose/gas chromatography-mass spectrometry分类
轻工业引用本文复制引用
吴炜,吴佳瑶,陈佳桦,郑晶晶..气味指纹图谱技术在纺织品检测中的应用[J].现代纺织技术,2025,33(5):1-9,9.基金项目
浙江省自然科学基金项目(Y15E050106) （Y15E050106）
浙江理工大学研究生培养基金项目(11310023010948) （11310023010948）
