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Citation: CHEN Tian-Bing, LIU Mu-Hua, HUANG Lin, ZHOU Hua-Mao, WANG Cai-Hong, YANG Hui, HU Hui-Qin, YAO Ming-Yin. Effects of Different Pretreatment Method on Laser-induced Breakdown Spectroscopy Measurement of Pb in Pork[J]. Chinese Journal of Analytical Chemistry, ;2016, 44(7): 1029-1034. doi: 10.11895/j.issn.0253-3820.160040 shu

Effects of Different Pretreatment Method on Laser-induced Breakdown Spectroscopy Measurement of Pb in Pork

Key Laboratory of Optics-Electrics Application of Biomaterials of Jiangxi Province, Jiangxi Agricultural University, Nanchang 330045, China

Received Date: 19 February 2016
Revised Date: 11 April 2016

Fund Project: This work was supported by the National Natural Science Foundation of China (Nos. 31460419, 31560482), the Science and Technology Plan Projects of Jiangxi Province, China (No. 20143ACB21013), the Key Science and Sailing project of Jiangxi Province, China (No. 20140142), and the Jiangxi Province Foundation for Leaders of Disciplines in Science, China (No. 09004004)

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To search an optimum spectral pretreatment method to measure Pb content in the leg muscle of pork with laser-induced breakdown spectroscopy, a total of 84 pork samples were split into calibration and prediction sets. With correlation coefficient (R), root-mean-square error of cross-validation (RMSECV) and root-mean-square error of predictionas (RMSEP) as the evaluation index, the effect of five pretreatment methods to the model based on partial least square (PLS) were compared. The results showed that the multiplicative scatter correction (MSC) was most effective and its R, RMSECV, RMSEP and principal element were 0.9908, 0.302, 0.282 and 16, respectively. The average relative error of prediction sets of 18 samples was 7.8%. The MSC is an efficient method to measure Pb in pork with laser-induced breakdown spectroscopy. The research provides an approach for further improving the accuracy of LIBS quantitative analysis of heavy metals in food.
- Laser-induced breakdown spectroscopy,
- Spectral pretreatment,
- Partial least square,
- Heavy metals
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