Sensing technologies for detection of non-point source pollutants in rice paddy fields

Yali Zhang, Yuan Qi, Linlin Wang, Kangting Yan, Ruichang Jia

Abstract


Abstract: With increased input in agriculture, the excessive use of pesticides and fertilizers has caused various pollutions in farmland.  Non-point source pollution in agriculture, especially in paddy fields, has been a serious threat to the health of water environment.  Therefore, the rapid detection and analysis of important pollutants in the paddy water environment is of great significance for controlling agricultural non-point source pollution and avoiding the occurrence of large-scale water pollution disasters in the future. Based on the detection method of non-point source pollutants in rice fields, this paper introduces the pollution and harm caused by eutrophication of water body, nitrate pollution of groundwater, organochlorine and organophosphorus pesticide residues.  The advantages and disadvantages of the above four pollutants detection methods and their application status in rapid, on-line detection or satellite remote sensing monitoring are summarized, and future research is prospected.  The detection methods of non-point source pollutants in the paddy water environment can solve the problem of detecting substances well, but they all need to be sampled back to the laboratory, and the timeliness is poor, which cannot meet the requirements of fast real-time.  For some of the on-site inspection instruments, their volume and portability are currently problems to be solved.  To solve the problem of online or rapid detection of non-point source pollutants in rice water environment, we need to start from the following four aspects: strengthen fast online real-time monitoring technology, develop water pollutant detection sensors, research wireless sensor network technology and combine UAV airborne remote sensing technology.  In the future, strengthening the research of online real-time detection technology will provide a theoretical basis for the online, rapid and accurate determination of pollutants in rice fields and the development of related rapid detection instruments.

Keywords: non-point source pollution, water environment, paddy field, remote sensing

DOI: 10.33440/j.ijpaa.20200303.102

 

Citation: Zhang Y L, Qi Y, Wang L L, Yan K T, Jia R C.  Sensing technologies for detection of non-point source pollutants in rice paddy fields.  Int J Precis Agric Aviat, 2020; 3(3): 1–13.


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References


Su D B. Study of Non-point source pollution of the representative

Agricultural Basin in Taihu Lake Area. Master’s Thesis, He Hai University, Nanjing, China, 18 May 2007.

National Bureau of Statistics of People's Republic of China. 2016. China Statistical Yearbook. China Statistics Press: Beijing, China, 2016.

Lu Y X, Chen Z L, Wang J, et al. Research Progress and Prospects of Surface Water Environment on Non-point Source Pollution. Environmental Protection, 2003, 11, 22–26. doi: 10.14026/ j.cnki.0253-9705.2003.11.007. (in Chinese)

Guan Y T, Su B L, Huang N B, et al. Runoff pollution characteristics of a small paddy plot in Wanting Town of Xiangcheng District, Suzhou City, Jiangsu Province. Journal of Beijing Normal University (Natural Science), 2014, 50, 496–502. (in Chinese)

Xia J, Zhai X Y, Zhang Y Y. Progress in the Research of Water Environmental Nonpoint Source Pollution Models. Progress in Geography, 2012, 31, 941–952. doi: 10.11820/dlkxjz.2012.07.013. (in Chinese)

Chen Q H, Xi Y G, Wang L, et al. Characteristics of nitrogen and phosphorus runoff losses in organic and conventional rice-wheat rotation farmland in Taihu Lake Region. Journal of Agro-Environment Science, 2016, 35, 1550–1558. doi: 10.11654/jaes.2016-0102. (in Chinese)

Wang J, Guo X S, Wang Y Q, et al. Study on dynamics of Nitrogen in different forms in surface water of paddy field under straw return. Journal of Hydraulic Engineering, 2014, 45, 410–418. doi: 10.13243/ j.cnki.slxb.2014.04.005. (in Chinese)

Yang L Z, Feng Y F, Shi W M, et al. Review of the advances and development trends in agricultural non-point source pollution control in China. Chinese Journal of Eco-Agriculture, 2013, 21, 96–101. (in Chinese)

Zhang W L, Wu S X, Ji H J, et al. Estimation of Agricultural Non-Point Source Pollution in China and the Alleviating StrategiesI. Estimation of Agricultural Non-Point Source Pollution in China in Early 21 Century. Scientia Agricultura Sinica, 2004, 7, 1008–1017. (in Chinese)

Hu Z Y, Guo Z H, Zhou Z M, et al. Application of Chemical Fertilizer and the Loss of Nitrogen and Phosphorus in Paddy Soils in Hunan. Journal of Hunan Agricultural University (Natural Science Edition), 2000, 26, 264–266. doi: 10.13331/j.cnki.jhau.2000.04.008. (in Chinese)

Guo H Y, Wang X R, Zhu J G, et al. Quantitative of Nitrogen from non-point Source pollution in Taihu Lake Catchment. Journal of Agro-environmental Science, 2003, 22, 150–153. doi: 10.3321/ j.issn:1672-2043.2003.02.006. (in Chinese)

Qing X Y, Ren Y F, Lv Z Q, et al. Characteristics of Total Nitrogen and Total Phosphorus Pollution and Eutrophication Assessment of Secondary River in Urban Chongqing. Environmental Science, 2015, 36, 2446–2452. doi: 10.13227/j.hjkx.2015.07.016. (in Chinese)

Ministry of Environmental Protection. Determination of total nitrogen in water by HJ636-2012-Basic potassium persulfate digestion ultraviolet spectrophotometer method. China Environmental Science Press: Beijing, China, 2012.

Yang C, Wu R K, Zhu P D, et al. Determination of Total Nitrogen In Water Using High Temperature Oxidation & Chemiluminescence Method. Chinese Journal of Analytical Chemistry, 2007, 35, 529–531. doi: 10.3321/j.issn:0253-3820.2007.04.013. (in Chinese)

Liu J L, Zhang P, Song B, et al. Comparison study of determination of total phosphorus and total nitrogen in water by continuous flow analysis. Chemical Research and Application, 2016, 28, 936–941. doi: 10.3969/j.issn.1004-1656.2016.07.004. (in Chinese)

Cui K, Zhang H L, Gao M, et al. Determination of total nitrogen in water by online digestion-gas phase molecular absorption spectrometry. Chemical Enterprise Management, 2019, 1, 28. doi: 10.3969/ j.issn.1008-4800.2019.01.017. (in Chinese)

Li Y, Yang H Z. Optimal design of a kind of TN and TP online automatic monitor for water quality. Industrial Water Treatment, 2013, 33, 77–81. doi: 10.11894/1005-829x.2013.33(5).77. (in Chinese)

Wang B, Yang H Z. Development of TN and TP online automatic monitor for water quality. Water & Wastewater Engineering, 2015, 51, 157–160. doi: 10.13789/j.cnki.wwe1964.2015.0328. (in Chinese)

Han S L, Xiang G H, Tang X Y, et al. A Novel On-Line Total Nitrogen Analyzer Based on Sequential Injection Analysis Technology. Environmental Monitoring in China, 2013, 29, 94–98. doi: 10.19316/j.issn.1002-6002.2013.03.019. (in Chinese)

Wu H L, Hu Z B, Chai X S,et al. Rapid Detection of Ammonia Nitrogen in Water with Dual-Wavelength Spectroscopy. Spectroscopy and Spectral Analysis, 2016, 36, 1396–1399. (in Chinese)

Dong T, Tong J H, Bian C, et al. Experimental study and kinetic analysis of oxidant-free thermal-assistedUV digestion utilizing supported nano-TiO2photocatalyst for detection oftotal phosphorous. Chinese Journal of Chemical Engineering, 2015, 23, 93–99.

State Bureau of Technical Supervision. GB11893-1989 Determination of total phosphorus in water - Ammonium molybdate spectrophotometric method. China Standard Press: Beijing, China, 1989.

Xu S F. Determination of total phosphorus in surface water by ion chromatography. China Measurement & Test, 2014, 40(06): 49–51.

Yu N. Application Studies to the Determination of Food and Sanitation Inspection by Ion Chromatography. Master’s Thesis, Southwest University, Chongqing, China, 5 May 2011. (in Chinese)

Liu L, Gao X Q, Miao Z H, et al. Comparison between Ion-chromatography and Spectrophotometry for Determining Nitrite in Water. China Water & Wastewater, 2016, 32, 93–96. (in Chinese)

Yang X. Determination of Total Nitrogen and Total Phosphorus in Surface Water by Ion Chromatography. Physical Testing and Chemical Analysis (Part B: Chemical Analysis), 2015, 51, 1619–1620. doi: 10.11973/lhjy-hx201511033. (in Chinese)

Liu J, Liu B B, Han M, et al. Methodology Research for Determination of Total Phosphorus in Water by Inductively Coupled Plasma-Atomic Emission Spectrometry. Spectroscopy and Spectral Analysis, 2018, 38, 1880–1883. (in Chinese)

Li J H. Points Analysis of Flow Injection System in Detecting Total Phosphorus. 《Environmental Engineering》Editorial Board, Industrial Construction Magazine Co., Ltd. 《Environmental Engineering》Proceedings of the 2018 National Academic Annual Conference (Volume 1),《Environmental Engineering》Editorial Department, 2018: 4.

Zhu X T, Zhu Z X, Ye M Y. Photocatalytic Degradation of Organic Phosphorus Water in Microreactor and On-line Detection of Total Phosphorus. Chinese Journal of Analytical Chemistry, 2019, 47, 106–111. doi: 10.19756/j.issn.0253-3820.171499. (in Chinese)

Lv H, Li W, Cheng L, et al. Research on the on-line monitoring system for in situ water quality total phosphorus on the basis of micro-control technology. Industrial Water Treatment, 2019, 39, 92–95. doi: 10.11894/1005-829x.2019.39(3).092. (in Chinese)

Huang H Q, Hou J J, Weng C, et al. Dynamics of Chlorophyll-a and Its Potential Relationship with Environmental Factors in Typical River of Chongming Island. Ecology and Environmental Sciences, 2016, 25(08): 1369–1375.

Wang J L, Qin Q M, Li J, et al. Water chlorophyll-a retrieval index based on hyperspectral data. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(03): 128–134.

Zhang S, He B Y. Remote sensing quantitative analysis on red tide of Changjiang estuary water. Journal of Yangtze River Scientific Research Institute, 2004(03): 29–31.

Peppa M, Vasilakos C, Kavroudakis D. Eutrophication Monitoring for Lake Pamvotis, Greece, Using Sentinel-2 Data. ISPRS Int. J. Geo-Inf. 2020, 9, 143.

Lan Y B. deng X L, Zeng G L. Advances in diagnosis of crop diseases, pests and weeds by UAV remote sensing. Smart Agriculture, 2019, 1(02): 1–19.

Ministry of Environmental Protection. Determination of total nitrogen in water by HJ636-2012-Basic potassium persulfate digestion ultraviolet spectrophotometer method. China Environmental Science Press: Beijing, China, 2012.

Nakagawa K, Amano H, Takao Y, et al. On the use of coprostanol to identify source of nitrate pollution in groundwater. Journal of Hydrology, 2017, 550, 663–668. doi: 10.1016/j.jhydrol.2017.05.038

Shi C L, Zhu J F. Economic evaluation and analysis of chemical fertilizer inputs in Chinese grain production. Journal of Arid Land Resources and Environment, 2016, 30, 57–63. doi: 10.13448/ j.cnki.jalre.2016.283. (in Chinese)

Xu Y Q, Qin H L, Quan Z, et al. Effects of long-term vegetable cultivation on the NO3--N contents in soil profile and groundwater. Research of Agricultural Modernization, 2015, 36, 1080–1085. doi: 10.13872/j.1000-0275.2015.0085. (in Chinese)

Zhang J, Liu Y D, Zhou A G, et al. Spectral Characteristics of Dissolved Organic Matter and Their Implications in Groundwater Contaminated by Nitrate of Lake Concentration Area in Northern Ordos Basin. Geological Science and Technology Information. (accepted)

Sun D M, Zhang X S, Xu P F. Research on Determination Methods of Nitrate in Environmental Water. Leather Science and Engineering, 2009, 19, 36–38. doi: 10.3969/j.issn.1004-7964.2009.05.008. (in Chinese)

Liao D F. Advances in research on toxicological effects and detection techniques of nitrate and nitrite. Biology Teaching, 2013, 38, 4–6.

Zhang H, Song W H, Zhao T. Determination of ammonia nitrogen, nitrate and nitrite in rivers by dual system ion chromatography. Environmental Pollution & Control, 2013, 35, 75–77+81. doi: 10.3969/j.issn.1001-3865.2013.09.016. (in Chinese)

Liu B Z, Wang L F, Wang Q T, et al. Ion Selective Electrodes for On-line Monitoring of Ammonia and Nitrate in Wastewater. China Water & Wastewater, 2009, 25, 106–108. doi: 10.3321/ j.issn:1000-4602.2009.10.029. (in Chinese)

Marco R D, Clarke G, Pejcic B. Ion-Selective electrodepotentiometry in environmental analysis. Electroanalysis, 2007, 19, 1987–2001. doi: 10.1002/elan.200703916.

Zhang M, Ang S Simon, Nguyen V C, et al. Rapid nitrate detection system based on ion selective electrode. Transactions of the Chinese Society of Agricultural Engineering, 2009, 25, 235–239. (in Chinese)

He H, Zhou H D, Gao B, et al. Determination of Nitrate and Nitrite in Water Samples Using Gallery Automatic Discrete Analyzer. Spectroscopy and Spectral Analysis, 2013, 33, 434–437. doi: 10.3964/ j.issn.1000-0593(2013)02-0434-04. (in Chinese)

Shuai H D, Ai H T. Study on rapid detection of Nitrate and Nitrite Nitrogen in Water. Shanxi Youth Daily, 2017-11-11(012).

Yu R, Wang Y H, Wang Y Q, et al. Design of Electromagnetic Sensor Used for the Real-Time Detections of Nitrate Concentrations in Water. Journal of Sensing Technology, 2013, 26, 774–778. doi: 10.3969/j.issn.1004-1699.2013.06.004. (in Chinese)

Rahmati O, Melesse A M. Application of Dempster–Shafer theory,

spatial analysis and remote sensing for groundwater potentiality and nitrate pollution analysis in the semi-arid region of Khuzestan, Iran. Science of the Total Environment, 2016, 568(oct.15): 1110–1123.

Yongyoot W, Kumar T N, Taravudh T, et al. Estimation of the Effect of Soil Texture on Nitrate-Nitrogen Content in Groundwater Using Optical Remote Sensing. International Journal of Environmental Research & Public Health, 2011, 8(8): 3416–3436.

Preetha P P, Al-Hamdan A Z. Integrating finite-element-model and remote-sensing data into SWAT to estimate transit times of nitrate in groundwater. Hydrogeology Journal, 2020: 1–19.

Agathos F, Paschalis D. Environmental assessment of groundwater nitrate pollution using GIS and Remote Sensing, 2008.

Dai G H, Liu X H. Affected Sediment-Study on The Migration Behavior of Persistent Organic Pollutants at Water Interface. Environmental Chemistry, 2011, 30, 224–230. (in Chinese)

Lu X X, Zhang S, Chen C Q, et al. Concentration Characteristics andEcological Risk of Persistent Organic Pollutants in the Surface Sediments of Tianjin Coastal Area. Environmental Science, 2012, 33, 3426–3433. doi: 10.13227/j.hjkx.2012.10.033. (in Chinese)

Lao Q B, Jiao L P, Chen F J, et al. Review on Researches of Legacy POPs and Emerging POPs in the Arctic Regions. Progress in Earth Science, 2017, 32, 128–138. (in Chinese)

Ministry of Environmental Protection, Ministry of Foreign Affairs. development and Reform Commission, etc. The amendments to Annex A, Annex B and Annex C and the new amendments to Annex II for the addition of nine persistent organic pollutants to the Stockholm Convention on Persistent Organic Pollutants Notice of Effectiveness. Ministry of Environmental Protection, Ministry of Foreign Affairs. development and Reform Commission, etc.: Beijing, China, 2014.

Yang W R, Wang R S, Li F. Organochlorine pesticides distribution and ecological risk assessment in a abandoned industrial site. Acta EcologicaSinica, 2008, 28, 5454–5460. doi: 10.3321/ j.issn:1000-0933.2008.11.029. (in Chinese)

Jin X. dai L S, Chen Q F, et al. Contamination of Organochlorine Pesticides in Great Knots (Calidris tenuirostris) and Red Knots (C.canutus). Journal of Zoology, 2017, 1, 1–10. doi: 10.13859/j.cjz.201701001. (in Chinese)

Kang Y H, Liu P B, Wang Z J, et al. Persistent Organochlorinated Pesticides in Water from Guanting Reservoir and Yongdinghe River, Beijing. LakeScience, 2003, 15, 125–132. doi: 10.18307/2003.0205. (in Chinese)

Shao Y, Yang G S, Liu W H, et al. The study of organochlorine pesticides and polychlorinated biphenyls in surface water around Beijing. Environmental Science in China, 2016, 36, 2606–2613. doi: 10.3969/j.issn.1000-6923.2016.09.009. (in Chinese)

Chen Y. Studies on HCH and DDT Pesticide Residues in Cultivated Soils in Hunan Province. ChinaEnvironmental Monitoring, 2012, 28, 44–47. doi: 10.19316/j.issn.1002-6002.2012.05.010. (in Chinese)

Ding Y, Huang H F, Li H, et al. Residues of Organochlorine Pesticides (OCPs) in Water and Sediments from Nansha Mangrove Wetland. Environmental Science, 2017, 4, 1–13. doi: 10.13227/j.hjkx.201609019. (in Chinese)

Chang M, Wang C C, Zhang J Z, et al. Determination of 19 Kinds of organochlorine pesticides in water by gas chromatography. Environmental Chemistry, 2018, 37, 1165–1168. (in Chinese)

Taghani A, Goudarzi N, Bagherian G. Application of multiwalled carbon nanotubes for the preconcentration and determination oforganochlorine pesticides in water samples by gas chromatography with mass spectrometry. J Sep Sci, 2016, 39, 4219–4226. doi: 10.1002/ jssc.201600555.

Wang S S, Li G, Gao L N, et al. GC-MS / MS determination of 12 organochlorine pesticides in water with separation by liquid-liquidextraction. Physical Testing and Chemical Analysis (Part B: Chemical Analysis), 2016, 52, 384–387. (in Chinese)

Shao Y, Yang G S, Han S, et al. Determination of organochlorine pesticides and polychlorinated biphenyls in surface water usingaccelerate solvent extraction coupling with gas chromatography-mass spectrometry. Chinese Journal of Analytical Chemistry, 2016, 44, 698–706. doi: 10.11895/j.issn.0253-3820.150805. (in Chinese)

Qin D L, Gao L, Huang X L, et al. Simultaneous determination of organochlorine pesticides and herbicides residues in water andsediment by gas chromatography tandem mass spectrometry. Environmental Chemistry, 2017, 36, 2366–2374. doi: 10.7524/ j.issn.0254-6108.2017040601. (in Chinese)

Yang M Y, Mao W, Bei W B, et al. Surface Acoustic Wave Immunosensor for Detection of DDT. Journal of Sensing Technology, 2007, 20, 1–4. doi: 10.3969/j.issn.1004-1699.2007.01.001. (in Chinese)

Zhou D K. The method of Zno sensor and chromatographic separation and detection of POPs.Master’s Thesis, University of science and technology of China, Hefei, China, May 2016. (in Chinese)

Jiang Y T, Chen W. Research Progress of Determination of Polychlorinated Biphenyls in Environmental Samples by Electrochemical Sensors. Journal of AnalyticalTesting, 2017, 36(10), 1279–1286. doi: 10.3969/j.issn.1004-4957.2017.10.020. (in Chinese)

El-Alfy M A, Hasballah A F, Abd E H T, et al. Toxicity assessment of heavy metals and organochlorine pesticides in freshwater and marine environments, Rosetta area, Egypt using multiple approaches. Sustainable Environment Research, 2019, 29(1).

Liu X Y, Tang J J, Zhang Y, et al. Ecological Risk Assessment of Organophosphorus Pesticides in Water Source Areas of Guangdong, Guangxi and Hainan Provinces. Environmental Science Research, 2015, 28, 1130–1137. doi: 10.13198/j.issn.1001-6929.2015.07.16. (in Chinese)

Ding H D, Wan H Y, Qin P, et al. Occurrence, sources and risk assessment of organophosphorus pesticides in the environment,China. Environmental Chemistry. 2019, 38, 463–479. doi: 10.7524/ j.issn.0254-6108.2018051405. (in Chinese)

Guo Q, Tian H, Mao X X, et al. Ecological Risk Assessment of Organophosphorus Pesticides in Aquatic Ecosystems of Pearl River Estuary. Environmental Science, 2014, 35,1029–1034. doi: 10.13227/j.hjkx.2014.03.030. (in Chinese)

Costa L G. Organophosphorus Compounds at 80: Some Old and New Issues. Toxicol Sci, 2018, 162, 24–35. doi: 10.1093/toxsci/kfx266.

Huang T T, Tang Y. dong X Q, et al. Determination of 23 Organophosphorus Pesticide Residues in Tea by QuEChERS Extraction with Multi-Walled Carbon Nanotubes (MWCNTs) Coupled to Gas Chromatography. Food Science, 2018, 39, 315–321. (in Chinese)

Zhu B Q, Jin S Q, Xu X Y, et al. Determination of 39 Organophosphorus Pesticides in Tea by Online Gel Permeation Chromatography-Gas Chromatography Tandem Mass Spectrometry Coupled with Modified QuEChERS Method. Physical Testing and Chemical Analysis (Part B: Chemical Analysis), 2018, 54, 433–442. doi: 10.11973/ lhjy-hx201804013. (in Chinese)

Wei T L. The Research of Simultaneous Determination of Seven Kinds of Organicphosphorus Pesticide Residues in Drinking Water by High Performance Liquid Chromatography. Master’s Thesis, Northwest Normal University, Lanzhou, China, May 2013. (in Chinese)

Lin D P. Residue analysis of 56 pesticides in the soil and water environment. Master’s Thesis, Shandong University, Jinan, China, 3 December 2014. (in Chinese)

Wang Q, Song X, Wang L. Research Progress of Detection of Residual Amounts of Organophosphorus Pesticides in Water and Food. Physical Testing and Chemical Analysis (Part B: Chemical Analysis), 2018, 54, 739–744. doi: 10.11973/lhjy-hx201806025. (in Chinese)

Liang D Q, Su K M, Zhang J M, et al. Determination of 23 Organophosphorus Pesticide Residues in Lentinus edodes by High Perform ance Liquid Chrom atography-Tandem M ass Spectrom etry. Food Science, 2014, 35(4), 159–162. doi: 10.7506/ spkx1002-6630-201404033. (in Chinese)

Yin X G, Yin L M, Xu C L. Research Development of Residue Determination of Organophosphorus Pesticides Basedon Multianalyte Immunoassay. Food Science, 2008, 29, 684–688, doi: 10.3321/ j.issn:1002-6630.2008.10.163. (in Chinese)

Fang Q K. Study of Immunoassay for Residue of Pestisides Butocarboxim and Imidacloprid. Master’s Thesis, Nanjing Agricultural University, Nanjing, China, June 2015. (in Chinese)

Chen G. Study of Chemiluminescence Immunoassay for the Detection of Parathion. Master’s Thesis, Chinese Academy of Agricultural Sciences, Beijing, China, May 2017. (in Chinese)

Zhang P, Gao M C, Zhou Q, et al. Application of biosensors in the detection of organophosphorus pesticides. Chinese Journal of Analysis Laboratory, 2019, 38, 622–626. doi: 10.13595/ j.cnki.issn1000-0720.2018.072306.(in Chinese)

Liu Q, Jiang X R, Zhang Y X. A novel test strip for organophosphorus detection. Sensor Actuat B-Chem, 2015, 210, 803–810. doi: 10.1016/j.snb.2014.12.048.

Dai Y, Wang J H, Han P, et al. Recent progress of biosensors for detection of organophosphorus pesticide residues. Journal of Food Safety & Quality, 2015, 6, 2976–2980. (in Chinese)

Wei M, Wang J J. A novel acetylcholinesterase biosensor based on ionicliquids-AuNPs-porous carbon composite matrix for detection of organophosphate pesticides. Sensor Actuat B-Chem, 2015, 211, 290–296. doi: 10.1016/j.snb.2015.01.112.

Yu G X, Wu W X, Zhao Q, et al. Efficient Immobilization of Acetylcholinesterase Onto Amino Functionalized Carbon Nanotubes for the Fabrication of High Sensitive Organophosphorus Pesticides Biosensors. Biosens Bioelectron, 2015, 68, 288–294. doi: 10.1016/ j.bios.2015.01.005.

Zheng Y Y, Liu Z M, Jing Y F, et al. An acetylcholinesterase biosensor based on ionic liquid functionalized graphene-gelatin-modified electrode for sensitive detection of pesticides. Sensor Actuat B-Chem, 2015, 210, 389–397. doi: 10.1016/j.snb.2015.01.003.

Zhao H Y, Ji X P, Wang B B, et al. An ultra-sensitive acetylcholinesterase biosensor based on reduced grapheme oxide-Au nanoparticles-β-cyclodextrin/Prussian blue-chitosan nanocomposites for organophosphorus pesticides detection. Biosens Bioelectron, 2015, 65,23–30. doi: 10.1016/j.bios.2014.10.007.

Mishra R K, Alonso G A, Istamboulie G, et al. Automated flow based biosensor for quantification of binary organophosphates mixture in milk using artificial neural network. Sensor Actuat B-Chem, 2015, 208, 228–237. doi: 10.1016/j.snb.2014.11.011.

Crew A, Lonsdale D, Byrd N, et al. A screen-printed, amperometric biosensor array incorporated into a novel automated system for the simultaneous determination of organophosphate pesticides. Biosensors&bioelectronics, 2011, 26, 2847–2851. doi: 10.1016/ j.bios.2010.11.018.

Silletti S, Rodio G, Pezzotti G, et al. An optical biosensor based on a multiarray of enzymes for monitoring a large set of chemical classes in milk. Sensor Actuat B-Chem, 2015, 215, 607–617. doi: 10.1016/ j.snb.2015.03.092.

Zhang Y Y, Arugula M A, Wales M, et al. A novel layer-by-layer assembled multi-enzyme/CNT biosensor for discriminative detection between organophosphorus and non-organophosphrus pesticides. Biosens Bioelectron, 2015, 67, 287–295. doi: 10.1016/ j.bios.2014.08.036.

Kim B S, Kim G W, He N S, et al. Development of a Portable Biosensor System for Pesticide Detection on a Metal Chip Surface Integrated with Wireless Communication. Food science and biotechnology, 2015, 24(2), 743–750. doi: 10.1007/s10068-015-0096-x.

Yan X, Li H X, Wang X Y, et al. A novel fluorescence probing strategy for the determination of parathion-methyl. Talanta, 2015, 31, 88–94. doi: 10.1016/j.talanta.2014.07.032.

Liu G Z, Guo W Q, Song D D. A multianalyte electrochemical immunosensor based on patterned carbon nanotubes modified substrates for detection of pesticides. Biosens Bioelectron, 2014, 52, 360–366. doi: 10.1016/j.bios.2013.09.009.

Li F Q, Pan H C, Yuan Y L. Research progresses of DNA aptosensors for pesticide detection. Analysis laboratory, 2018, 37, 488–496. doi: 10.13595/j.cnki.issn1000-0720.2018.0092. (in Chinese)

Li Q, Wang C G, Tian H Q. Application and Prospect of Spectroscopy Technology in Pesticide Residue Test. Research on Agricultural Mechanization, 2014, 36(8), 250–252. doi: 10.3969/ j.issn.1003-188X.2014.08.061. (in Chinese)

Liu C L, Sui S X, Wu J Z, et al. Experimentation of Detecting the Chlorpyrifos Content in Solution by Near Infrared Spectroscopy. Transactions of the Chinese Society for Agricultural Machinery, 2009, 40, 129–131. (in Chinese)

Cao B H, Zhang G X, Zhou Z K. Terahertz Time-Domain Spectroscopy of Dimethoate.In analytical chemistry. 2008, 36, 623–626. doi: 10.3321/j.issn:0253-3820.2008.05.012. (in Chinese)

Yan Z G, Zheng S, Xie Q J, et al. Terahertz Spectroscopic Investigation of Organophosphorus Pesticide Parathion-Methyl. Spectroscopy and Spectral Analysis, 2009, 29, 2622–2625. doi: 10.3964/ j.issn.1000-0593(2009)10-2622-04. (in Chinese)

Chen C, Chen G Q, Li R, et al. The Study of Spectral Characteristics of Several Organophosphate Pesticides. Spectroscopy and Spectral Analysis, 2012, 32(6), 1594–1595. doi: 10.3964/ j.issn.1000-0593(2012)06-1592-04. (in Chinese)

Ma R J, Zhang Y L, Chen Y, et al. Experimental Study on Detection of Chlorpyrifos Concentration in Water by Hyperspectral. Spectroscopy and Spectral Analysis, 2019, 39(03), 923–930. (in Chinese)

Xing Y, Yu X H, Xu Qiang, et al. Research Progress on Determination of Organic Pesticides by Fluorescent Probes. Fine Chemicals. doi: 10.13550/j.jxhg.20190149. (accepted)


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