Rapid determination of lead (Pb) in the soil–plant system by laser-induced breakdown spectroscopy (LIBS): case study of Pb-pollution from perovskite solar cells

Online in situ detection and identification of smoke generated by traditional Chinese medicine fumigation based on laser‐induced breakdown spectroscopy and machine learning

“…[14][15][16] Laser-induced breakdown spectroscopy (LIBS) is a promising atomic emission spectrum technique, 17 which has the advantages of simultaneous multielement analysis, small sample loss, remote control, and real-time in situ rapid detection. 18,19 Thanks to the above advantages, LIBS has already been used in environmental monitoring, [20][21][22] archeological, 23,24 food testing, 25,26 medical testing, 27 and other fields up to now. 28 In addition, the combination of LIBS and machine learning (ML) improves the efficiency of detection and identification.…”

Collaborative estimation of heavy metal stress in wheat seedlings based on LIBS-Raman spectroscopy coupled with machine learning

“…18,19 Galiova, Zhao, Tripathi and Zhu et al successfully detected Pb in agriculture using LIBS technology combined with chemometrics. [20][21][22][23] Schreck, Wang and Erasmus et al applied chemometric methods combined with Raman to the discrimination of Pb in agriculture. [24][25][26] LIBS and Raman are used for determining the extent of Pb stress in plants.…”