Comparative Study of the Detection of Chromium Content in Rice Leaves by 532 nm and 1064 nm Laser-Induced Breakdown Spectroscopy

Fast detection of toxic metals in crops is important for monitoring pollution and ensuring food safety. In this study, laser-induced breakdown spectroscopy (LIBS) was used to detect the chromium content in rice leaves. We investigated the influence of laser wavelength (532 nm and 1064 nm excitation)...

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Main Authors: Jiyu Peng, Fei Liu, Tingting Shen, Lanhan Ye, Wenwen Kong, Wei Wang, Xiaodan Liu, Yong He
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/18/2/621
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author Jiyu Peng
Fei Liu
Tingting Shen
Lanhan Ye
Wenwen Kong
Wei Wang
Xiaodan Liu
Yong He
author_facet Jiyu Peng
Fei Liu
Tingting Shen
Lanhan Ye
Wenwen Kong
Wei Wang
Xiaodan Liu
Yong He
author_sort Jiyu Peng
collection DOAJ
description Fast detection of toxic metals in crops is important for monitoring pollution and ensuring food safety. In this study, laser-induced breakdown spectroscopy (LIBS) was used to detect the chromium content in rice leaves. We investigated the influence of laser wavelength (532 nm and 1064 nm excitation), along with the variations of delay time, pulse energy, and lens-to-sample distance (LTSD), on the signal (sensitivity and stability) and plasma features (temperature and electron density). With the optimized experimental parameters, univariate analysis was used for quantifying the chromium content, and several preprocessing methods (including background normalization, area normalization, multiplicative scatter correction (MSC) transformation and standardized normal variate (SNV) transformation were used to further improve the analytical performance. The results indicated that 532 nm excitation showed better sensitivity than 1064 nm excitation, with a detection limit around two times lower. However, the prediction accuracy for both excitation wavelengths was similar. The best result, with a correlation coefficient of 0.9849, root-mean-square error of 3.89 mg/kg and detection limit of 2.72 mg/kg, was obtained using the SNV transformed signal (Cr I 425.43 nm) induced by 532 nm excitation. The results indicate the inspiring capability of LIBS for toxic metals detection in plant materials.
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spelling doaj.art-66d306d7576245e1b6681d272d625a342022-12-22T02:14:32ZengMDPI AGSensors1424-82202018-02-0118262110.3390/s18020621s18020621Comparative Study of the Detection of Chromium Content in Rice Leaves by 532 nm and 1064 nm Laser-Induced Breakdown SpectroscopyJiyu Peng0Fei Liu1Tingting Shen2Lanhan Ye3Wenwen Kong4Wei Wang5Xiaodan Liu6Yong He7College of Biosystems Engineering and Food science, Zhejiang University, Hangzhou 310058, ChinaCollege of Biosystems Engineering and Food science, Zhejiang University, Hangzhou 310058, ChinaCollege of Biosystems Engineering and Food science, Zhejiang University, Hangzhou 310058, ChinaCollege of Biosystems Engineering and Food science, Zhejiang University, Hangzhou 310058, ChinaSchool of Information Engineering, Zhejiang A & F University, Linan 311300, ChinaCollege of Biosystems Engineering and Food science, Zhejiang University, Hangzhou 310058, ChinaCollege of Biosystems Engineering and Food science, Zhejiang University, Hangzhou 310058, ChinaCollege of Biosystems Engineering and Food science, Zhejiang University, Hangzhou 310058, ChinaFast detection of toxic metals in crops is important for monitoring pollution and ensuring food safety. In this study, laser-induced breakdown spectroscopy (LIBS) was used to detect the chromium content in rice leaves. We investigated the influence of laser wavelength (532 nm and 1064 nm excitation), along with the variations of delay time, pulse energy, and lens-to-sample distance (LTSD), on the signal (sensitivity and stability) and plasma features (temperature and electron density). With the optimized experimental parameters, univariate analysis was used for quantifying the chromium content, and several preprocessing methods (including background normalization, area normalization, multiplicative scatter correction (MSC) transformation and standardized normal variate (SNV) transformation were used to further improve the analytical performance. The results indicated that 532 nm excitation showed better sensitivity than 1064 nm excitation, with a detection limit around two times lower. However, the prediction accuracy for both excitation wavelengths was similar. The best result, with a correlation coefficient of 0.9849, root-mean-square error of 3.89 mg/kg and detection limit of 2.72 mg/kg, was obtained using the SNV transformed signal (Cr I 425.43 nm) induced by 532 nm excitation. The results indicate the inspiring capability of LIBS for toxic metals detection in plant materials.http://www.mdpi.com/1424-8220/18/2/621rice leaveschromium contentlaser-induced breakdown spectroscopylaser wavelengthpreprocessing methods
spellingShingle Jiyu Peng
Fei Liu
Tingting Shen
Lanhan Ye
Wenwen Kong
Wei Wang
Xiaodan Liu
Yong He
Comparative Study of the Detection of Chromium Content in Rice Leaves by 532 nm and 1064 nm Laser-Induced Breakdown Spectroscopy
Sensors
rice leaves
chromium content
laser-induced breakdown spectroscopy
laser wavelength
preprocessing methods
title Comparative Study of the Detection of Chromium Content in Rice Leaves by 532 nm and 1064 nm Laser-Induced Breakdown Spectroscopy
title_full Comparative Study of the Detection of Chromium Content in Rice Leaves by 532 nm and 1064 nm Laser-Induced Breakdown Spectroscopy
title_fullStr Comparative Study of the Detection of Chromium Content in Rice Leaves by 532 nm and 1064 nm Laser-Induced Breakdown Spectroscopy
title_full_unstemmed Comparative Study of the Detection of Chromium Content in Rice Leaves by 532 nm and 1064 nm Laser-Induced Breakdown Spectroscopy
title_short Comparative Study of the Detection of Chromium Content in Rice Leaves by 532 nm and 1064 nm Laser-Induced Breakdown Spectroscopy
title_sort comparative study of the detection of chromium content in rice leaves by 532 nm and 1064 nm laser induced breakdown spectroscopy
topic rice leaves
chromium content
laser-induced breakdown spectroscopy
laser wavelength
preprocessing methods
url http://www.mdpi.com/1424-8220/18/2/621
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