Fast identification of hazardous solid based on Raman spectroscopy

Weiwei Liu; Jinglin Kong; Molin Qin; Liqiang Dong; Wenxiang Fu

doi:10.1117/12.3017318

30 April 2024 Fast identification of hazardous solid based on Raman spectroscopy

Weiwei Liu, Jinglin Kong, Molin Qin, Liqiang Dong, Wenxiang Fu

Proceedings Volume 13157, Sixth Conference on Frontiers in Optical Imaging and Technology: Applications of Imaging Technologies; 131570O (2024) https://doi.org/10.1117/12.3017318
Event: Sixth Conference on Frontiers in Optical Imaging Technology and Applications (FOI2023), 2023, Nanjing, JS, China

Abstract

Fast and accurate identification of unknown hazardous solid are of pivotal interest in public security and safety. In this research, the Raman spectra of ten dangerous were measured: four biotoxins (including aconitine, tetrodotoxin, α -conotoxin GI and ricin), six explosives (including Octogen, Hexanitrohexaazaisowurtzitane, Hexogen, Trinitrotoluene, Triacetone triperoxide and Black powder). The micro confocal Raman spectroscopy was used to obtain the spectrum data. Structural assignments to Raman bands observed in the spectrum were also proposed. On this basis, The principal component analysis (PCA) method is used to reduce the dimension of spectral data, and the linear discriminant analysis (LDA) pattern is developed based on Python language to establish recognition algorithm. The recognition algorithm based on the linear discriminant analysis could achieve a high recognition accuracy of 98.61%. Meanwhile, all the testing process could be completed within a few minutes without loss of samples. It suggested from this study that the combination of Raman spectroscopy of fingerprint characteristics and pattern recognition algorithm can be used for rapid screening of unknown compounds. Moreover, this method provides solutions for timely deletion of unknown compounds.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Weiwei Liu, Jinglin Kong, Molin Qin, Liqiang Dong, and Wenxiang Fu "Fast identification of hazardous solid based on Raman spectroscopy", Proc. SPIE 13157, Sixth Conference on Frontiers in Optical Imaging and Technology: Applications of Imaging Technologies, 131570O (30 April 2024); https://doi.org/10.1117/12.3017318

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KEYWORDS

Raman spectroscopy

Biological samples

Explosives

Vibration

Pattern recognition

Biological research

Data modeling

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