Citation: LI Wenjie, WANG Lixue, SUN Linghui, YOU Wei, ZHAO Yabin. Progress in Matrix-Assisted Laser Desorption Mass Spectrometry Imaging for Fingerprint Analysis[J]. Chinese Journal of Applied Chemistry, ;2020, 37(10): 1137-1146. doi: 10.11944/j.issn.1000-0518.2020.10.200108 shu

Progress in Matrix-Assisted Laser Desorption Mass Spectrometry Imaging for Fingerprint Analysis

School of Investigation, People's Public Security University of China, Beijing 100038, China

Corresponding author: ZHAO Yabin, zhaoyb04@gmail.com
Received Date: 14 April 2020
Revised Date: 19 May 2020
Accepted Date: 11 June 2020

Fund Project: Basic Research Project of People's Public Security University of China 2019JKF216Supported by the Basic Research Project of People's Public Security University of China(No.2019JKF216)

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Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) is a soft ionization mass spectrometry technique with high sensitivity, high throughput and simultaneous analysis of multi-components. It can confirm the molecular structure and obtain the material distribution information through the material analysis and has gained more and more attention in fingerprint analysis. Starting from the condition optimization, this paper describes the process of matrix optimization. Then, the specific application of MALDI-MS imaging (MALDI-MSI) in the field of fingerprint analysis is introduced. In the aspect of morphological analysis, the influence of the combination of MALDI-MSI and the conventional development methods on the imaging effect and the image processing of the difficult fingerprint is summarized. In terms of chemical information analysis and research, the advantages and limitations of each research are reviewed from the perspective of analyzing living habits/pre-crime activities, fingerprint residual time and individual identity based on MS information, and the future development of MALDI-MSI in the field of fingerprint is proposed.
- matrix-assisted laser desorption/ionization mass spectrometry imaging,
- fingerprint,
- application research
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