Automated Chronological Sequence Analysis of Intersecting Lines between Laser Printing and Seals via Pattern Selection-Based DESI-MS Imaging

Determining the chronological sequence of laser printing and seals is crucial for forensic document examination and legal evidence authentication. An automated method was developed to determine the chronological sequence between laser printing and seals via desorption electrospray ionization mass spectrometry imaging (DESI-MSI). The method employs pattern selection and an adaptive multicuster segmentation strategy, automatically adjusting segmentation parameters on the basis of similarity thresholds to handle different sample conditions. Validation on 50 samples containing intersecting laser printing and seals achieved 96% accuracy (48/50 cases) in sequence determination. An optimal similarity threshold of >0.5 was established for reliable feature selection while minimizing interference from background noise. This automated workflow eliminates manual intervention and prior knowledge requirements, providing an objective solution for forensic document authentication.

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Publication Details

Journal
Analytical Chemistry
Published
2025-10-08
DOI
https://doi.org/10.1021/acs.analchem.5c03554
Primary Topic
Cultural Heritage Materials Analysis
Type
article
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article

Automated Chronological Sequence Analysis of Intersecting Lines between Laser Printing and Seals via Pattern Selection-Based DESI-MS Imaging

Guangming Huang, Yiting Yuan, Zhuanghao Hou, Huimin Liu et al.
Analytical Chemistry
Cultural Heritage Materials Analysis
article

Automated Chronological Sequence Analysis of Intersecting Lines between Laser Printing and Seals via Pattern Selection-Based DESI-MS Imaging

Guangming Huang, Yiting Yuan, Zhuanghao Hou, Huimin Liu, Ying Chen, Da Qin
article en

Abstract

Determining the chronological sequence of laser printing and seals is crucial for forensic document examination and legal evidence authentication. An automated method was developed to determine the chronological sequence between laser printing and seals via desorption electrospray ionization mass spectrometry imaging (DESI-MSI). The method employs pattern selection and an adaptive multicuster segmentation strategy, automatically adjusting segmentation parameters on the basis of similarity thresholds to handle different sample conditions. Validation on 50 samples containing intersecting laser printing and seals achieved 96% accuracy (48/50 cases) in sequence determination. An optimal similarity threshold of >0.5 was established for reliable feature selection while minimizing interference from background noise. This automated workflow eliminates manual intervention and prior knowledge requirements, providing an objective solution for forensic document authentication.

Analytical ChemistryVol. 97(41)
University of Science and Technology of China (CN), Ministry of Public Security of the People's Republic of China (CN), Institute of Forensic Science (CN), National Synchrotron Radiation Laboratory (CN)
Openalex Percentile: Top 71%
Cultural Heritage Materials Analysis
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Automated Chronological Sequence Analysis of Intersecting Lines between Laser Printing and Seals via Pattern Selection-Based DESI-MS Imaging — Guangming Huang, Yiting Yuan, et al. · Analytical Chemistry (2025) | TGRS Research Map | TGRS