现代纺织技术 ›› 2023, Vol. 31 ›› Issue (4): 217-226.

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古代纺织品的染料提取及鉴定分析方法研究进展

  

  1. 1.杭州职业技术学院达利女装学院,杭州310018; 2.浙江理工大学纺织科学与工程学院(国际丝绸学院),杭州310018
  • 收稿日期:2022-11-30 出版日期:2023-07-10 网络出版日期:2023-09-12
  • 作者简介:陶园(1987—),女,河北海兴人,副教授,博士,主要从事古代纺织材料与技术方面的研究
  • 基金资助:
    国家社会科学基金项目(19CKG002)

Research progress on extraction, identification and analysis methods of dyestuffs in ancient textiles

  1. 1. High Fashion Womenswear Institute, Hangzhou Vocational & Technical College, Hangzhou 310018, China; 2. College of Textile Science and Engineering (International Institute of Silk), Zhejiang Sci-Tech University, Hangzhou 310018, China
  • Received:2022-11-30 Published:2023-07-10 Online:2023-09-12

摘要: 对古代纺织品的染料进行有效鉴定,可以为相关纺织文物的保存和修复提供最佳方案,为天然染料应用及新型染料和染色工艺开发提供重要参考。文章针对古代纺织品的染料鉴定技术,从染料提取方法和染料成分检测分析技术两个方面展开综述。基于染料提取方法对纺织品的损伤程度以及检测手段的技术特点,对提取方法和检测分析技术进行了梳理分类,介绍了各种提取方法和检测分析技术的原理,总结了各种提取方法和检测分析技术的特点和局限性。最后指出,古代纺织品的染料鉴定技术正朝着无损、快速、高精度的方向发展,开发有效的非侵入式取样方法、建立丰富的染料谱图数据库以及开发新型无损鉴定技术等是未来的重点研究方向。

关键词: 古代纺织品, 染料提取, 染料鉴定, 无损, 非侵入性

Abstract: The effective identification of dyes in ancient textiles can provide the best scheme for the preservation and restoration of related textile cultural relics, and important reference for the application of natural dyes and the development of new dyes and dyeing processes. Studies related to dye identification for ancient textiles are reviewed, with focuses on on the two aspects of extraction methods and detection techniques of dyes. Suggestions and development direction are provided for the effective identification of ancient textile dyes. 
The main extraction methods of dyes include solution extraction, in situ non-extraction, the adsorption technique by contact gel, etc. Both the solution extraction and in situ non-extraction methods have different degrees of invasive or destructive sampling of textiles. By contrast, the adsorption technique by contact gel does not require destructive sampling or special treatment of the sample, and the dye can be extracted by directly contacting the surface of the sample with the special gel for a certain time. Therefore, this method can achieve non-invasive and non-destructive sampling to a certain extent, which is a potential method for extracting dyes from ancient textiles.
Dye detection techniques mainly include spectrology, chromatography, mass spectrometry, and so on. According to the degree of damage to textiles, they can be divided into two main categories: non-invasive techniques and micro-invasive techniques. Non-invasive techniques can be used to detect a sample without damaging it (or slightly damaging it), such as UV-visible diffuse reflectance spectroscopy (fiber optic reflectance spectroscopy, FORS), fluorescence spectrum analysis, conventional Raman spectroscopy technology, and direct mass spectrometry technology. At present, most non-invasive techniques can obtain relatively effective detection results, but most of them have certain limitations. These methods often fail to obtain detailed information about the composition of dyes, which makes it difficult to analyze the composition and determine the source of dyes. Therefore, in most cases, current non-invasive detection techniques are only used for preliminary identification of dyes in ancient textiles. Microinvasive techniques require taking a small sample, or extracting the dye components from it, to make a sample ready for testing, such as surface enhanced Raman spectroscopy (SERS) and liquid chromatography-mass spectrometry (LC-MS). Due to the complexity of surface composition and aging condition of ancient textiles, at present, high performance liquid chromatography-mass spectrometry (HPLC-MS), which requires micro-invasive sampling, is still the most accurate, stable, and reliable detection technique. 
Finally, it is pointed out that the dye identification technology of ancient textiles is developing towards non-destructive, rapid and high precision, and developing effective noninvasive methods of sampling, building abundant spectrum database of dye, and developing new nondestructive testing technologies are key research directions in the future. 

Key words: ancient textiles, dye extraction, dye identification, non-destructive, non-invasive

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