Research progress on paint thinner testing and identification

Fire Science and Technology ›› 2020, Vol. 39 ›› Issue (2): 282-285.

Previous Articles Next Articles

Research progress on paint thinner testing and identification

ZHANG Jing-shun1, ZHANG Guan-nan2,ZHANG Yuan1, ZHU Jun2, WANG Wen3,JIANG Hong1, LIU Zhan-fang2

（1.School of Forensic Science, People's Public Security University of China, Beijing 100038, China; 2.Institute of Forensic Science, Ministry of Public Security, Beijing 100038,China；3. Henan Police College,Henan Zhengzhou 450046，China）

Received:2019-09-27 Online:2020-02-15 Published:2020-02-15

Abstract

Abstract: The basic knowledge of diluent and the standards, methods and instruments for diluent testing at home and abroad were summarized. The interference of fire site matrix, extraction and preservation of test materials on diluent identification was introduced. It is suggested that the method of chemometrics can be used to identify diluents. Twenty-three kinds of diluents were tested, and the difficulties of diluent test were analyzed. The prospect of diluent testing and identification was put forward.

Key words: ignitable liquid, paint thinner, identification, fire matrix interference； fire investigation

ZHANG Jing-shun, ZHANG Guan-nan, ZHANG Yuan, ZHU Jun, WANG Wen, JIANG Hong, LIU Zhan-fang. Research progress on paint thinner testing and identification[J]. Fire Science and Technology, 2020, 39(2): 282-285.

[1]	Liu Zhaoke, Huang Xiaojia, Lu Jinsuo, Xie Shuibo, Liu Guangyang, Li Ziru. A determination threshold model for fire detection based on multivariate parameter fusion and experimental study [J]. Fire Science and Technology, 2026, 45(8): 87-97.
[2]	Guo Yuhang, Yang Haohan, Wang Meng, Zhang Fujing, Chen Ke. Study on residual traces analysis technology of tree-line failures under 10 kV lines [J]. Fire Science and Technology, 2026, 45(1): 43-48.
[3]	Xu Xiaoyuan, Li Jin, Zhuo Ping, Li Ziting, Chu Yuxi, Chen Ye. Research on the fire and gas generation characteristics during thermal runaway of 280 Ah lithium-iron phosphate batteries [J]. Fire Science and Technology, 2025, 44(9): 1190-1196.
[4]	Chen Ke, Zhang Bin, Guo Yuhang, Wang Xuanlei, Liu Zhengang. Research progress in applied electrical fire evidence identification techniques in China [J]. Fire Science and Technology, 2025, 44(9): 1326-1333.
[5]	Gao Peng, Peng Bo, Lyu Zhong. A method for spread direction analysis and ignition point backtracking in forest fire investigation [J]. Fire Science and Technology, 2025, 44(9): 1334-1339.
[6]	Zhang Shulin, Wang Lanning, Wen Zhuo, Lu Yi. Identification model of lithium battery fire based on improved YOLOv5s algorithm [J]. Fire Science and Technology, 2025, 44(8): 1023-1028.
[7]	Wang Yifei. The collaborative fire prevention and elimination"four-color inspection method" for identifying danger and eliminating risk of fire safety [J]. Fire Science and Technology, 2025, 44(8): 1136-1138.
[8]	Tang Wenli. Emergency rescue work of London Fire Brigade and its implications [J]. Fire Science and Technology, 2025, 44(5): 726-730.
[9]	Han Yun, Xu Jie, Sun Zhijuan, Du Yu , Zhou Wen, Wei Zhen. Investigation into the interference effects of textile substrates in the identification of gasoline combustion residues [J]. Fire Science and Technology, 2025, 44(12): 1759-1766.
[10]	Li Li, Wang Haozhou, Pan Hongguang, Shi Keke. Research on the identification method of over-temperature three inducements of electrical circuits based on ReGAT-ResNet [J]. Fire Science and Technology, 2025, 44(10): 1495-1501.
[11]	Yang Pengtao, Lyu Liang, Zhu Kai, Ji Shengchang, Xu Yang. Glowing contact fault detection technology based on multi-feature fusion neural network [J]. Fire Science and Technology, 2025, 44(10): 1530-1539.
[12]	Kang Jie. Fire risk identification and prevention measures in medical institutions [J]. Fire Science and Technology, 2024, 43(4): 557-561.
[13]	Chen Ke, Guo Yuhang, Deng Songhua, Wang Xuanlei, Zhang Liangliang, Zhang Bin, . Analysis of the characteristics of short circuit melt marks and holes in copper conductors based on Micro CT [J]. Fire Science and Technology, 2024, 43(4): 566-571.
[14]	Shen Hongxiang, Ni Shuangjing. Research on fire recognition technology of tunnel video based on self-attention [J]. Fire Science and Technology, 2023, 42(2): 253-257.
[15]	Liao Junhui, Shen Junjia, Zhou Hua. Case analysis and thinking of a fire accident in an anode production line [J]. Fire Science and Technology, 2023, 42(11): 1593-1596.

Research progress on paint thinner testing and identification

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments