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-mass spectrometry (GC-MS). Electronic nose, as a bionic detection tool, can fully capture the odor characteristics of the sample and quickly analyze the odor components through the gas sensor array, which is suitable for textile fiber identification, volatile organic gas detection and textile fragrance persistence assessment. GC-MS integrates the 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-MS 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 are summarized. In addition, new techniques such as headspace gas-phase ion mobility spectrometry and gas chromatography-olfactometry have been used for textile odor analysis, providing new perspectives for the identification of odor components. Current research in odor fingerprinting technology focuses on the improvement of electronic nose sensor arrays and sample preparation methods for textile volatile compounds. Electronic nose sensors 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, pesticide residues and flame retardants.
Although odor fingerprinting technology has been applied in textile odor detection, it still faces challenges such as complex data classification and insufficient characterization of feature information. In the future, there is a need to  further develop the odor fingerprint database, systematically classify textiles, and establish standardized methods to ensure the consistency and comparability of odor data. Due to the complexity of odor formation, it is necessary to comprehensively use multidimensional analysis techniques to comprehensively reveal the chemical composition of odors. With the development of computer technology, a variety of data processing methods can be employed to achieve feature extraction and pattern recognition of large-scale odor fingerprint data, so as to deeply analyze the patterns and characteristics of odor fingerprint data.

Key words: textile testing, odor fingerprinting technology, electronic nose, gas chromatography-mass spectrometry

摘要： 针对纺织品中存在的纤维掺假、化合物残留、气味评定等问题，气味指纹图谱技术已成为纺织品检测的重要手段。首先阐述了气味指纹图谱技术的概念和构建指纹图谱的主要步骤。然后从电子鼻和气相色谱质谱联用2种技术出发，分析了2种技术在鉴别纤维、识别挥发性有机物、检测异味、评定气味等领域的应用现状，并概括了顶空气相离子迁移谱技术和气相色谱-嗅闻技术在纺织领域的发展趋势。为了更好地在纺织品生产、印染和后整理等环节中应用该技术，分析了目前气味指纹图谱技术在数据分类、特征信息表征上的不足，提出后续可以从健全气味指纹数据库、应用多维技术共同表征气味、结合多种数据处理方法3个方面进行深入钻研和拓展。研究结果可为纺织品检测技术提供新的思路。

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