|
|
|
|
|
|
| Online Monitoring of Pesticides Based on Laser Induced Breakdown
Spectroscopy |
| ZHANG Xing-long1, LIU Yu-zhu1, 2*, SUN Zhong-mou1, ZHANG Qi-hang1, CHEN Yu1, MAYALIYA·Abulimiti3* |
1. Jiangsu Key Laboratory for Optoelectronic Detection of Atmosphere and Ocean, Nanjing University of Information Science & Technology, Nanjing 210044, China
2. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology (CICAEET), Nanjing 210044, China
3. College of Physics and Electronic Engineering, Xinjiang Normal University, Urumqi 830054, China
|
|
|
|
|
Abstract As an important tool of modern agriculture, pesticides are widely used in agricultural production with the advantage of their efficient ability to kill pests and diseases, but they also cause pollution to the environment while killing pests. In this paper, a spectral detection of pesticide spray was carried out to study the real-time monitoring of pesticide use by laser-induced breakdown spectroscopy(LIBS) technology. First, the atmospheric LIBS spectrum in a clean environment was detected. Many atoms emission spectra of nitrogen (N) and oxygen (O) were detected in the air spectrum, which has a good consistency with the air composition. At the same time, two hydrogen Balmer series atomic lines (Hα and Hβ) were also observed, which was mainly derived from water vapor in the air. It is worth noting that two Argon(Ar) atomic lines were also found in the air spectra, indicating that the LIBS technology has great potential in detecting trace elements. In this experiment, the pesticide Decis was selected as the research object, and LIBS tested its active ingredient deltamethrin (C22H19Br2NO3，CAS: 52918-63-5). The halogen element bromine(Br) was observed in the spectra of deltamethrin, and two Br atomic emission lines (827.294, 833.470 nm) were marked. During the detection of pesticide samples, many characteristic spectral lines that did not appear in the air spectrum were also found, including CN molecular band and C2 molecular band. What are more, elements natrium(Na) and calcium(Ca) that were not observed in the air spectra were also detected. Especially for Ca, the intensity and number of spectral lines in pesticides significantly increase. Finally, the temperature of the CN molecule was studied. The vibrational temperature of CN molecule in deltamethrin and pesticide were estimated to be 8 800 and 6 200 K respectively, and the rotational temperature to be 8 600 and 5 500 K respectively. The above results indicated that it is feasible to use LIBS technology to monitor pesticides online, and LIBS technology has a promising future in pesticide monitoring.
|
|
Received: 2021-05-11
Accepted: 2021-06-18
|
|
|
|
Corresponding Authors:
LIU Yu-zhu, MAYALIYA·Abulimiti
E-mail: yuzhu.liu@gmail.com；maryam917@xjnu.edu.cn
|
|
[1] Lan J, Jia J J, Liu A F, et al. Marine Pollution Bulletin, 2019, 139：332.
[2] Spina F, Cecchi G, Landinez-Torres A, et al. Plant Biosystems, 2018, 152(3)：474.
[3] Goulson D. Nature, 2014, 511(7509): 295.
[4] Becker J M, Ganatra A A, Kandie F, et al. Scientific Reports, 2020, 10(1): 3650.
[5] Iliff S M, Harris R J, Stoner E W. Marine Pollution Bulletin, 2019, 146：502.
[6] Tang H M, Lenzen M, McBratney A, et al. Nature Geoscience, 2021, 14(4)：206.
[7] Zhang X, Zhao W, Jing R, et al. BMC Public Health, 2011, 11(1): 429.
[8] Sun J, Ge X, Wu X H, et al. Journal of Food Process Engineering, 2018, 41(6): e12816.
[9] Nazarloo A S, Sharabiani V R, Gilandeh Y A, et al. Processes, 2021, 9(2): 196.
[10] Xu W T, Luo Y, Zhao W W, et al. Journal of Agricultural and Food Chemistry, 2021, 69(1)：584.
[11] Bernat A, Samiwala M, Albo J, et al. Journal of Agricultural and Food Chemistry, 2019, 67(45)：12341.
[12] Chen J N, Dong D M, Ye S. RSC Advances, 2018, 8(9)：4726.
[13] Zhang Q H, Liu Y Z, Chen Y, et al. Optics Express, 2020, 28(15): 22844.
[14] Baudelet M, Willis C C C, Shah L, et al, Optics Express, 2010, 18(8)：7905.
[15] Fernández-Bravo A, Delgado T, Lucena P, et al. Spectrochimica Acta Part B: Atomic Spectroscopy，2013, 9：77. |
| [1] |
YANG Lin-yu1, 2, 3, DING Yu1, 2, 3*, ZHAN Ye4, ZHU Shao-nong1, 2, 3, CHEN Yu-juan1, 2, 3, DENG Fan1, 2, 3, ZHAO Xing-qiang1, 2, 3. Quantitative Analysis of Mn and Ni Elements in Steel Based on LIBS and GA-PLS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1804-1808. |
| [2] |
TAN Yang1, WU Xiao-hong2, 3*, WU Bin4, SHEN Yan-jun1, LIU Jin-mao1. Qualitative Analysis of Pesticide Residues on Chinese Cabbage Based on GK Improved Possibilistic C-Means Clustering[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1465-1470. |
| [3] |
HE Ya-xiong1, 2, ZHOU Wen-qi1, 2, ZHUANG Bin1, 2, ZHANG Yong-sheng1, 2, KE Chuan3, XU Tao1, 2*, ZHAO Yong1, 2, 3. Study on Time-Resolved Characteristics of Laser-Induced Argon Plasma[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1049-1057. |
| [4] |
LI Ming-liang1, DAI Yu-jia1, QIN Shuang1, SONG Chao2*, GAO Xun1*, LIN Jing-quan1. Influence of LIBS Analysis Model on Quantitative Analysis Precision of Aluminum Alloy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 587-591. |
| [5] |
GONG Zheng1, LIN Jing-jun2*, LIN Xiao-mei3*, HUANG Yu-tao1. Effect of Heating and Cooling on the Characteristic Lines of Al During Melting[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 598-602. |
| [6] |
QIN Shuang1, LI Ming-liang1, DAI Yu-jia1, GAO Xun1*, SONG Chao2*, LIN Jing-quan1. The Accuracy Improvement of Fe Element in Aluminum Alloy by Millisecond Laser Induced Breakdown Spectroscopy Under Spatial Confinement Combined With Support Vector Machine[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 582-586. |
| [7] |
WANG Ya-wen1,2,3, ZHANG Yong4, CHEN Xiong-fei1,2,3, LIU Ying1,2,3, ZHAO Zhen-yang4, YE Ming-guo5, XU Yu-xing6, LIU Peng-yu1,2,3*. Quantitative Analysis of Nickel-Based Superalloys Based on a Remote LIBS System[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 603-608. |
| [8] |
LI Wei, ZHANG Xue-li, SU Qin, ZHAO Rui, SONG Hai-yan*. Qualitative Analysis of Chlorpyrifos Pesticide Residues in Cabbage Leaves Based on Visible Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 80-85. |
| [9] |
YU Guo-wei1, MA Ben-xue1,2*, CHEN Jin-cheng1,3, DANG Fu-min4,5, LI Xiao-zhan1, LI Cong1, WANG Gang1. Vis-NIR Spectra Discriminant of Pesticide Residues on the Hami Melon Surface by GADF and Multi-Scale CNN[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(12): 3701-3707. |
| [10] |
QIU Meng-qing1, 2, XU Qing-shan1*, ZHENG Shou-guo1*, WENG Shi-zhuang3. Research Progress of Surface-Enhanced Raman Spectroscopy in Pesticide Residue Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3339-3346. |
| [11] |
XU Yu-ting1, SUN Hao-ran2, GAO Xun1*, GUO Kai-min3*, LIN Jing-quan1. Identification of Pork Parts Based on LIBS Technology Combined With PCA-SVM Machine Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3572-3576. |
| [12] |
DENG Fan1, HU Zhen-lin2, CUI Hao-hao2, ZHANG Deng2, TANG Yun4, ZHAO Zhi-fang2, ZENG Qing-dong2, 3*, GUO Lian-bo2*. Progress in the Correction of Self-Absorption Effect on Laser-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(10): 2989-2998. |
| [13] |
YOU Wen1, XIA Yang-peng1, HUANG Yu-tao1, LIN Jing-jun2*, LIN Xiao-mei3*. Research on Selection Method of LIBS Feature Variables Based on CART Regression Tree[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(10): 3240-3244. |
| [14] |
YANG Wen-feng1*, QIAN Zi-ran1, CAO Yu2, WEI Gui-ming1, ZHU De-hua2, WANG Feng3, FU Chan-yuan1. Research on the Controllability of Aircraft Skin Laser Paint Remove Based on Laser-Induced Breakdown Spectrum and Composition Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(10): 3233-3239. |
| [15] |
HE Ya-xiong1, ZHOU Wen-qi1, KE Chuan2, XU Tao1*, ZHAO Yong1, 2. Review of Laser-Induced Breakdown Spectroscopy in Gas Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(09): 2681-2687. |
|
|
|
|
