现代纺织技术 ›› 2026, Vol. 34 ›› Issue (02): 58-69.DOI: 10.12477/j.att.202503068

• • 上一篇    

热裂解-气相色谱/高分辨质谱法鉴别过滤物微纤维成分

  

  1. 1. 浙江理工大学生物基纤维材料全国重点实验室,浙江杭州 310018; 2. 浙江省现代纺织技术创新中心,浙江绍兴 312000
  • 出版日期:2026-02-27 网络出版日期:2026-03-01
  • 基金资助:
    浙江省自然科学基金项目(LDQ23E030001)

Pyrolysis-gas chromatography / high-resolution mass spectrometry for the identification of filtrate microfiber components

  1. 1. State Key Laboratory of Bio-based Fiber Materials, Zhejiang Sci-Tech University, Hangzhou 310018, China; 2. Zhejiang Provincial Innovation Center of Advanced Textile Technology, Shaoxing 312000, China
  • Published:2026-02-27 Online:2026-03-01

摘要: 纤维结构复杂、应用多样,因而识别基质中的各种纤维挑战巨大。 通过热裂解-气相色谱/高分辨质谱联用技术(Py-GC/ HRMS)研究合成纤维、纤维素纤维、蛋白质纤维的热裂解行为,建立纤维热解分析数据库,从而评估了不同用户洗衣机滤网过滤物中的纤维。 基于所建立的数据库,成功识别了涤纶、锦纶 6、锦纶 66、腈纶、纤维素纤维以及蛋白质纤维。 此外,在洗衣机滤网过滤物中,还检测到了聚苯乙烯(PS)和丙烯腈-丁二烯-苯乙烯(ABS)以及靛蓝染料,这表明 Py-GC/ HRMS 是分析复杂基质中微塑料及染料的有效方法。 研究结果可为 Py-GC/ HRMS 在纤维鉴别中的应用提供新的思路。

关键词: 热裂解, 气相色谱-高分辨质谱联用, 裂解机理, 纤维数据库, 微纤维鉴别

Abstract: Traditional fiber analysis methods are limited by drawbacks such as matrix interference, signal overlap and low sensitivity, which makes it difficult to accurately identify fibers in complex matrices. Pyrolysis-gas chromatography/high-resolution mass spectrometry (Py-GC/HRMS) coupling technology is an efficient analytical technique applicable to various sample forms, requiring low sample amounts and generally eliminating the need for cumbersome pretreatment. Meanwhile, relying on the ultra-high sensitivity of high-resolution mass spectrometry, Py-GC/HRMS can effectively resolve signals from complex components, significantly enhancing the accuracy of identifying fiber characteristic substances. It is thus an ideal method for fiber analysis in complex matrices. However, the existing Py-GC/HRMS fiber analysis databases are incomplete, which hinders the application of Py-GC/HRMS technology in fiber analysis to a certain extent. Therefore, this study investigated the pyrolysis behavior of different types of fibers and established a Py-GC/HRMS analysis database to successfully identify microfibers in the filter materials filtered by washing machine filters. The results showed that vinyl benzoate, ε-caprolactam, cyclopentanone, 1-decene, 2,4-dimethyl-1-heptene, 1,3,5-triphenyl-5-hexene, 1,3,5-tricyanohexane and 1-methylnaphthalene served as characteristic pyrolysis products for identifying polyethylene terephthalate (PET), polyamide 6 (PA6), polyadiohexylenediamine 66 (PA66), polyethylene (PE), polypropylene (PP), polystyrene (PS), polyacrylonitrile (PAN) and polyvinyl chloride (PVC) respectively. The Py-GC/HRMS technology could not directly identify the four types of cellulose fibers (cotton, flax, viscose and tencel). However, levoglucosan could be used as a preliminary characteristic pyrolysis product for identifying cellulose fibers. Indole served as a preliminary characteristic pyrolysis product for identifying protein fibers. In addition, carbonyl sulfide was a unique pyrolysis product of cashmere and wool, aminomethanesulfonic acid was only found in the pyrolysis of duck and goose down, while dimethylamine was exclusively produced by the pyrolysis of silk. In five different samples of filter materials filtered by washing machine filters, PET, PA6, PA66, PAN, cellulose and protein fibers were detected, indicating that washing machine filters could effectively intercept filamentous synthetic fibers shedding during the washing process, thereby reducing the pollution of microplastic fibers in the aquatic environment. Moreover, the presence of PS, ABS and indigo dye was also detected by Py-GC/HRMS, demonstrating that this technology is not only an effective tool for fiber identification in complex matrices but can also be utilized to analyze trace amounts of microplastics and dyes in the environment. This work investigated the pyrolysis behavior of fibers and established a fiber analysis database for identifying microfibers captured by washing machine filters, with the aim of evaluating the fiber release mechanism during fabric washing processes. It provides new insights into the application of Py-GC/HRMS technology and offers valuable methodologies and pivotal reference data for the study of microfibers.

Key words: pyrolysis gas, chromatography-high resolution mass spectrometry, pyrolysis mechanism, fiber database, identification of microfibers

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