主管：中华人民共和国司法部
主办：司法鉴定科学研究院
ISSN 1671-2072  CN 31-1863/N
中国司法鉴定

中国司法鉴定 ›› 2023 ›› Issue (3): 36-44.DOI: 10.3969/j.issn.1671-2072.2023.03.005

• 鉴定综述 • 上一篇    下一篇

油漆物证鉴定技术研究进展

孙其然，王雅晨，张清华，等   

  1. 司法鉴定科学研究院 上海市司法鉴定专业技术服务平台 司法部司法鉴定重点实验室，上海 200063
  • 收稿日期:2023-02-21 出版日期:2023-05-15 发布日期:2023-05-16
  • 通讯作者: 卞新伟（1966—），男，高级工程师，主要从事微量物证鉴定和文检鉴定技术研究。E-mail：bianxw@ssfjd.cn
  • 作者简介:孙其然（1984—），女，高级工程师，博士，主要从事微量物证鉴定和文检鉴定技术研究。E-mail：sunqr@ssfjd.cn
  • 基金资助:
    中央科研院所公益专项（GY2023G-7）；上海市司法鉴定专业技术服务平台资助项目。

Review of Paint Evidence Analysis

SUN Qiran, WANG Yachen, ZHANG Qinghua, et al   

  1. Shanghai Forensic Service Platform, Key Laboratory of Forensic Science, Ministry of Justice, Academy of Forensic Science, Shanghai 200063, China
  • Received:2023-02-21 Published:2023-05-15 Online:2023-05-16

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摘要： 油漆物证是司法鉴定实践中最常见的物证种类，在道路交通事故、入室盗窃等案件中，油漆物证常常是案件调查和法庭审理的重要证据。油漆是一种成分复杂的工业产品，油漆鉴定需要使用显微检验、红外光谱检验和元素分析等多种技术方法，并综合分析各项检验结果以得出鉴定意见。通过对油漆物证检验新技术、常规检验方法的作用、数据的化学计量学析和结果解释等方面的分析，对2016—2022年期间的油漆物证鉴定技术进展进行综述，并对未来发展趋势进行展望，提出研究无损化检验技术、构建高区分率的检验体系、应用人工智能工具和建设基础数据库等发展方向。

关键词: 油漆, 微量物证, 系统检验, 区分率, 化学计量学

Abstract: Paint evidence is the most common type of trace evidence. In hit-and-run traffic accidents, burglary and other cases, the identification results of paint samples are often the key evidence to connect clues. As an industrial product having complex components, the identification of paint samples needs to use a variety of inspection methods, including microscopic examination, infrared spectrometry and elemental analysis, and analyze these results comprehensively to draw a correct conclusion. The progress of identification technology for paint evidence from 2016 to 2022 was analyzed and summarized from the aspects of new examination methods, systematic inspection methods and distinguishing effect, chemometric analysis, and the interpretation of results. Additionally, future development directions such as studying on non-destructive inspection technology, constructing high discrimination inspection system, applying artificial intelligence tools, and building basic databases were proposed.

Key words: paint, trace evidence, systematic inspection, discrimination rate, chemometrics

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