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Updated: May 28, 2026

Laser-induced Breakdown Spectroscopy: A New Approach for Nanoparticle's Mapping and Quantification in Organ Tissue
Published on: June 18, 2014
High-sensitivity detection of selenium in rice using argon assisted with laser-induced breakdown spectroscopy
Qizhong Pan1, Zesen Li1, Weihua Liu2
1Hubei Key Laboratory of Modern Manufacturing Quantity Engineering, School of Mechanical Engineering, Hubei University of Technology, Wuhan, Hubei 430068, PR China; School of Electrical and Electronic Engineering, Wuhan Polytechnic University, Wuhan, Hubei 430048, PR China.
None:
Rice is a staple food and key selenium (Se) source, but excessive Se causes poisoning, necessitating precise monitoring. Although laser-induced breakdown spectroscopy (LIBS) permits rapid detection, its sensitivity for Se remains limited owing to weak emission in the ultraviolet spectrum. This study proposed argon assisted with LIBS (Ar-LIBS) combined with multivariate algorithms to enhance sensitivity. The results showed the limit of detection (LOD) under Ar-LIBS was 27.97 mg/kg, 41.18% lower than under air, with a root mean square error of cross-validation (RMSECV) of 47.74 mg/kg. Combining LIBS with principal component analysis - particle swarm optimization - support vector machine (PCA-PSO-SVM) reduced root mean square error of prediction (RMSEP) to 25.50 mg/kg, with R2 of 0.98, demonstrating the higher detection accuracy with Ar-LIBS and PCA-PSO-SVM. And plasma evolution images from Ar-LIBS visualized the plasma lifetime extension. This research provided a reference for Se contamination detection in rice.
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