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Peng B, Xie Y, Lai Q, Liu W, Ye X, Yin L, Zhang W, Xiong S, Wang H, Chen H. Pesticide residue detection technology for herbal medicine: current status, challenges, and prospects. ANAL SCI 2024; 40:581-597. [PMID: 38367162 DOI: 10.1007/s44211-024-00515-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Accepted: 01/17/2024] [Indexed: 02/19/2024]
Abstract
The domains of cancer therapy, disease prevention, and health care greatly benefit from the use of herbal medicine. Herbal medicine has become the mainstay of developing characteristic agriculture in the planting area increasing year by year. One of the most significant factors in affecting the quality of herbal medicines is the pesticide residue problem caused by pesticide abuse during the cultivation of herbal medicines. It is urgent to solve the problem of detecting pesticide residues in herbal medicines efficiently and rapidly. In this review, we provide a comprehensive description of the various methods used for pesticide residue testing, including optical detection, the enzyme inhibition rate method, molecular detection methods, enzyme immunoassays, lateral immunochromatographic, nanoparticle-based detection methods, colorimetric immunosensor, chemiluminescence immunosensor, smartphone-based immunosensor, etc. On this basis, we systematically analyze the mechanisms and some of the findings of the above detection strategies and discuss the challenges and prospects associated with the development of pesticide residue detection tools.
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Affiliation(s)
- Bin Peng
- Guangzhou Huashang Vocational College, Guangzhou, 510000, China
| | - Yueliang Xie
- Guangdong Agriculture Industry Business Polytechnic, Guangzhou, 510000, China
| | - Qingfu Lai
- Guangzhou Huashang Vocational College, Guangzhou, 510000, China
| | - Wen Liu
- Guangdong Agriculture Industry Business Polytechnic, Guangzhou, 510000, China
| | - Xuelan Ye
- Guangzhou Huashang Vocational College, Guangzhou, 510000, China
| | - Li Yin
- Guangzhou Huashang Vocational College, Guangzhou, 510000, China
| | - Wanxin Zhang
- Guangzhou Huashang Vocational College, Guangzhou, 510000, China
| | - Suqin Xiong
- Guangzhou Huashang Vocational College, Guangzhou, 510000, China
| | - Heng Wang
- Guangdong Haid Group Co., Ltd, Guangzhou, 510000, China.
| | - Hui Chen
- State Key Laboratory of Chemical Oncogenomics, Key Laboratory of Chemical Biology, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
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2
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Zhao M, Yang Y, Li N, Lv Y, Jin Q, Wang L, Shi Y, Zhang Y, Shen H, Li LS, Wu R. Development of a Dual Fluorescence Signal-Enhancement Immunosensor Based on Substrate Modification for Simultaneous Detection of Interleukin-6 and Procalcitonin. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2024; 40:4447-4459. [PMID: 38349871 DOI: 10.1021/acs.langmuir.3c03772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/15/2024]
Abstract
High-sensitivity detection of biomarkers is of great significance to improve the accuracy of disease diagnosis and the rate of occult disease diagnosis. Using a substrate modification and two-color quantum dot (QD) nanobeads (QBs), we have developed a dual fluorescence signal-enhancement immunosensor for sensitive, simultaneous detection of interleukin 6 (IL-6) and procalcitonin (PCT) at low volumes (∼20 μL). First, the QBs compatible with QDs with different surface ligands were prepared by optimizing surfactants based on the microemulsion method. Through the use of a fluorescence-linked immunosorbent assay (FLISA), the feasibility of a dual signal-enhancement immunosensor was verified, and a 5-fold enhancement of fluorescence intensity was achieved after the directional coating of the antibodies on sulfhydryl functionalization (-SH) substrates and the preparation of QBs by using a polymer and silica double-protection method. Next, a simple polydimethylsiloxane (HS-PDMS) immunosensor with a low volume consumption was prepared. Under optimal conditions, we achieved the simultaneous detection of IL-6 and PCT with a linear range of 0.05-50 ng/mL, and the limit of detection (LOD) was 24 and 32 pg/mL, respectively. The result is comparable to two-color QBs-FLISA with a sulfhydryl microplate, even though only 20% of its volume was used. Thus, the dual fluorescence signal-enhancement HS-PDMS immunosensor offers the capability of early microvolume diagnosis of diseases, while the detection of inflammatory factors is clinically important for assisting disease diagnosis and determining disease progression.
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Affiliation(s)
- Man Zhao
- Key Lab for Special Functional Materials of Ministry of Education, and School of Materials, Henan University, Kaifeng 475004, China
| | - Yifan Yang
- Key Lab for Special Functional Materials of Ministry of Education, and School of Materials, Henan University, Kaifeng 475004, China
| | - Ning Li
- Key Lab for Special Functional Materials of Ministry of Education, and School of Materials, Henan University, Kaifeng 475004, China
| | - Yanbing Lv
- Key Lab for Special Functional Materials of Ministry of Education, and School of Materials, Henan University, Kaifeng 475004, China
| | - Qiaoli Jin
- Key Lab for Special Functional Materials of Ministry of Education, and School of Materials, Henan University, Kaifeng 475004, China
| | - Lei Wang
- Key Lab for Special Functional Materials of Ministry of Education, and School of Materials, Henan University, Kaifeng 475004, China
| | - Yangchao Shi
- Key Lab for Special Functional Materials of Ministry of Education, and School of Materials, Henan University, Kaifeng 475004, China
| | - Yuning Zhang
- Key Lab for Special Functional Materials of Ministry of Education, and School of Materials, Henan University, Kaifeng 475004, China
| | - Huaibin Shen
- Key Lab for Special Functional Materials of Ministry of Education, and School of Materials, Henan University, Kaifeng 475004, China
| | - Lin Song Li
- Key Lab for Special Functional Materials of Ministry of Education, and School of Materials, Henan University, Kaifeng 475004, China
| | - Ruili Wu
- Key Lab for Special Functional Materials of Ministry of Education, and School of Materials, Henan University, Kaifeng 475004, China
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3
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Niu C, Yao Z, Jiang S. Synthesis and application of quantum dots in detection of environmental contaminants in food: A comprehensive review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 882:163565. [PMID: 37080319 DOI: 10.1016/j.scitotenv.2023.163565] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 04/13/2023] [Accepted: 04/14/2023] [Indexed: 05/03/2023]
Abstract
Environmental pollutants can accumulate in the human body through the food chain, which may seriously impact human health. Therefore, it is of vital importance to develop quick, simple, accurate and sensitive (respond quickly) technologies to evaluate the concentration of environmental pollutants in food. Quantum dots (QDs)-based fluorescence detection methods have great potential to overcome the shortcomings of traditional detection methods, such as long detection time, cumbersome detection procedures, and low sensitivity. This paper reviews the types and synthesis methods of QDs with a focus on green synthesis and the research progress on rapid detection of environmental pollutants (e.g., heavy metals, pesticides, and antibiotics) in food. Metal-based QDs, carbon-based QDs, and "top-down" and "bottom-up" synthesis methods are discussed in detail. In addition, research progress of QDs in detecting different environmental pollutants in food is discussed, especially, the practical application of these methods is analyzed. Finally, current challenges and future research directions of QDs-based detection technologies are critically discussed. Hydrothermal synthesis of carbon-based QDs with low toxicity from natural materials has a promising future. Research is needed on green synthesis of QDs, direct detection without pre-processing, and simultaneous detection of multiple contaminants. Finally, how to keep the mobile sensor stable, sensitive and easy to store is a hot topic in the future.
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Affiliation(s)
- Chenyue Niu
- School of Ecology and Environment, Beijing Technology and Business University, Beijing 100048, China; State Environmental Protection Key Laboratory of Food Chain Pollution Control, Beijing Technology and Business University, Beijing 100048, China.
| | - Zhiliang Yao
- School of Ecology and Environment, Beijing Technology and Business University, Beijing 100048, China; State Environmental Protection Key Laboratory of Food Chain Pollution Control, Beijing Technology and Business University, Beijing 100048, China.
| | - Shanxue Jiang
- School of Ecology and Environment, Beijing Technology and Business University, Beijing 100048, China; State Environmental Protection Key Laboratory of Food Chain Pollution Control, Beijing Technology and Business University, Beijing 100048, China.
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4
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Jin Z, Sheng W, Liu J, Liu C, Ma Y, Wang S, Zhang W, Huang N. A fluorescence immunoassay based on GSH destroying MnO 2@QDs for the simultaneous ultrasensitive detection of four mycotoxins in cereals. Food Chem 2023; 420:136099. [PMID: 37037114 DOI: 10.1016/j.foodchem.2023.136099] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 03/26/2023] [Accepted: 03/31/2023] [Indexed: 04/12/2023]
Abstract
A novel fluorescence immunoassay based on MnO2 nanoflowers loading multicolor quantum dots and glutathione destroying MnO2 nanoflowers to release quantum dots combined with magnetic separation is developed for rapid, ultra-sensitive, and simultaneous quantitative detection of ochratoxin A, aflatoxin B1, fumonisin B1, and zearalenone in cereal samples. The test linear range of assay is from 0.001 to 200 μg L-1. The limit of detection for ochratoxin A, aflatoxin B1, fumonisin B1, and zearalenone is 0.0001 μg L-1, 0.0001 μg L-1, 0.0003 μg L-1, and 0.0001 μg L-1, respectively. The simultaneous detection of four mycotoxins can be achieve within 30 min. The test results of four mycotoxins in the incurred corn, rice, and oat samples have been confirmed by ultra-performance liquid chromatography tandem mass spectrometry, the differences between results are considered no significantly different (p > 0.05). This multiplexed test scheme has provided a potential analysis strategy for multiple food risk factors.
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Affiliation(s)
- Zixin Jin
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Food Nutrition and Safety, Ministry of Education, Key Laboratory of Food Quality and Health of Tianjin, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Wei Sheng
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Food Nutrition and Safety, Ministry of Education, Key Laboratory of Food Quality and Health of Tianjin, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, China.
| | - Junli Liu
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Food Nutrition and Safety, Ministry of Education, Key Laboratory of Food Quality and Health of Tianjin, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Chenchen Liu
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Food Nutrition and Safety, Ministry of Education, Key Laboratory of Food Quality and Health of Tianjin, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Yueru Ma
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Food Nutrition and Safety, Ministry of Education, Key Laboratory of Food Quality and Health of Tianjin, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Shuo Wang
- Tianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin 300071, China
| | - Wanli Zhang
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Food Nutrition and Safety, Ministry of Education, Key Laboratory of Food Quality and Health of Tianjin, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Na Huang
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Food Nutrition and Safety, Ministry of Education, Key Laboratory of Food Quality and Health of Tianjin, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, China
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Wang R, Wang S, Qin C, Nie Q, Luo Y, Qin QP, Wang R, Liu B, Luo D. An Electrochemical Sensor Based on Electropolymerization of β-Cyclodextrin on Glassy Carbon Electrode for the Determination of Fenitrothion. SENSORS (BASEL, SWITZERLAND) 2022; 23:435. [PMID: 36617033 PMCID: PMC9824020 DOI: 10.3390/s23010435] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/28/2022] [Accepted: 12/29/2022] [Indexed: 06/17/2023]
Abstract
An electrochemical sensor enabled by electropolymerization (EP) of β-cyclodextrin on glassy carbon electrode (β-CDP/GCE) is built for the determination of fenitrothion (FNT). The effects of the EP cycles, pH value, and enrichment time on the electrochemical response of FNT were studied. With the optimum conditions, good linear relationships between the current of the reduction peak of the nitroso derivative of FNT and the concentration are obtained in the range of 10-150 and 150-4000 ng/mL, with a detection limit of 6 ng/mL (S/N = 3). β-CDP/GCE also exhibits a satisfactory applicability in cabbage and tap water, with recovery values between 98.43% and 112%. These outstanding results suggest that β-CDP/GCE could be a new effective alternative for the determination of FNT in real samples.
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Affiliation(s)
- Rong Wang
- Guangxi Key Lab of Agricultural Resources Chemistry and Biotechnology, College of Chemistry and Food Science, Yulin Normal University, 1303 Jiaoyudong Road, Yulin 537000, China
| | - Shulong Wang
- Guangxi Key Lab of Agricultural Resources Chemistry and Biotechnology, College of Chemistry and Food Science, Yulin Normal University, 1303 Jiaoyudong Road, Yulin 537000, China
| | - Caihong Qin
- Guangxi Key Lab of Agricultural Resources Chemistry and Biotechnology, College of Chemistry and Food Science, Yulin Normal University, 1303 Jiaoyudong Road, Yulin 537000, China
| | - Qiyang Nie
- Guangxi Key Lab of Agricultural Resources Chemistry and Biotechnology, College of Chemistry and Food Science, Yulin Normal University, 1303 Jiaoyudong Road, Yulin 537000, China
| | - Yougang Luo
- Guangxi Key Lab of Agricultural Resources Chemistry and Biotechnology, College of Chemistry and Food Science, Yulin Normal University, 1303 Jiaoyudong Road, Yulin 537000, China
| | - Qi-Pin Qin
- Guangxi Key Lab of Agricultural Resources Chemistry and Biotechnology, College of Chemistry and Food Science, Yulin Normal University, 1303 Jiaoyudong Road, Yulin 537000, China
| | - Ruijuan Wang
- Guangxi Key Lab of Agricultural Resources Chemistry and Biotechnology, College of Chemistry and Food Science, Yulin Normal University, 1303 Jiaoyudong Road, Yulin 537000, China
| | - Baiquan Liu
- State Key Laboratory of Luminescent Materials and Devices, South China University of Technology, 381 Wushan Road, Guangzhou 510640, China
- School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510275, China
| | - Dongxiang Luo
- Huangpu Hydrogen Innovation Center, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China
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6
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Wang P, Li X, Sun Y, Wang L, Xu Y, Li G. Rapid and reliable detection and quantification of organophosphorus pesticides using SERS combined with dispersive liquid-liquid microextraction. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:4680-4689. [PMID: 36349883 DOI: 10.1039/d2ay01321e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Rapid and reliable detection and quantification of pesticide residues in complex matrices by surface enhanced Raman spectroscopy (SERS) remain challenging due to the low level of target molecules and the interference of nontarget components. In this study, SERS was combined with dispersive liquid-liquid microextraction (DLLME) to develop a rapid and reliable method for the detection of organophosphorus pesticides (OPPs). In this method, DLLME was used to extract and enrich two representative OPPs (triazophos and parathion-methyl) from a liquid sample, and a portable Raman spectrometer was used to analyze the separated sediment using homemade gold nanoparticles colloids as enhancing substrates. The results showed that the developed method displayed good sensitivity and stability for the detection and quantification of triazophos and parathion-methyl with R2 ≥ 0.98. The calculated limits of detection (LODs) in the simultaneous detection of triazophos and parathion-methyl were 2.17 × 10-9 M (0.679 ppb) and 2.28 × 10-8 M (5.998 ppb), and the calculated limits of quantification (LOQs) were 7.23 × 10-9 M (2.26 ppb) and 7.62 × 10-8 M (19.098 ppb), respectively. Furthermore, the developed SERS method was successfully applied to the detection of triazophos and parathion-methyl in apple juice with recoveries between 78.07% and 110.87% and relative standard deviations (RSDs) ≤ 2.06%. Therefore, the developed DLLME facilitated liquid SERS method exhibited good sensitivity and stability for the rapid detection and quantification of OPPs and had the potential to be applied to the rapid detection of OPPs in complex matrices.
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Affiliation(s)
- Panxue Wang
- School of Food Science and Engineering, Shaanxi University of Science & Technology, Xi'an 710021, P. R. China.
| | - Xiang Li
- School of Food Science and Engineering, Shaanxi University of Science & Technology, Xi'an 710021, P. R. China.
| | - Yan Sun
- School of Food Science and Engineering, Shaanxi University of Science & Technology, Xi'an 710021, P. R. China.
| | - Li Wang
- School of Food Science and Engineering, Shaanxi University of Science & Technology, Xi'an 710021, P. R. China.
| | - Ying Xu
- School of Food Science and Engineering, Shaanxi University of Science & Technology, Xi'an 710021, P. R. China.
| | - Guoliang Li
- School of Food Science and Engineering, Shaanxi University of Science & Technology, Xi'an 710021, P. R. China.
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7
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Xu L, El-Aty AA, Eun JB, Shim JH, Zhao J, Lei X, Gao S, She Y, Jin F, Wang J, Jin M, Hammock BD. Recent Advances in Rapid Detection Techniques for Pesticide Residue: A Review. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:13093-13117. [PMID: 36210513 PMCID: PMC10584040 DOI: 10.1021/acs.jafc.2c05284] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
As an important chemical pollutant affecting the safety of agricultural products, the on-site and efficient detection of pesticide residues has become a global trend and hotspot in research. These methodologies were developed for simplicity, high sensitivity, and multiresidue detection. This review introduces the currently available technologies based on electrochemistry, optical analysis, biotechnology, and some innovative and novel technologies for the rapid detection of pesticide residues, focusing on the characteristics, research status, and application of the most innovative and novel technologies in the past 10 years, and analyzes challenges and future development prospects. The current review could be a good reference for researchers to choose the appropriate research direction in pesticide residue detection.
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Affiliation(s)
- Lingyuan Xu
- Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - A.M. Abd El-Aty
- Department of Pharmacology, Faculty of Veterinary Medicine, Cairo University, Giza 12211, Egypt
- Department of Medical Pharmacology, Medical Faculty, Ataturk University, Erzurum 25240, Turkey
| | - Jong-Bang Eun
- Department of Food Science and Technology, Chonnam National University, Gwangju 500-757, Republic of Korea
| | - Jae-Han Shim
- Natural Products Chemistry Laboratory, Biotechnology Research Institute, Chonnam National University, Yongbong-ro, Buk-gu, Gwangju 500-757, Republic of Korea
| | - Jing Zhao
- Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Xingmei Lei
- Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Song Gao
- Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yongxin She
- Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Fen Jin
- Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Jing Wang
- Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Maojun Jin
- Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Bruce D. Hammock
- Department of Entomology & Nematology and the UC Davis Comprehensive Cancer Center, University of California, Davis, CA 95616, USA
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8
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Jara MDL, Alvarez LAC, Guimarães MCC, Antunes PWP, de Oliveira JP. Lateral flow assay applied to pesticides detection: recent trends and progress. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:46487-46508. [PMID: 35507227 PMCID: PMC9067001 DOI: 10.1007/s11356-022-20426-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 04/20/2022] [Indexed: 06/14/2023]
Abstract
Devices based on lateral flow assay (LFA) have been gaining more and more space in the detection market mainly due to their simplicity, speed, and low cost. These devices have excellent sensing format versatility and make these strips an ideal choice for field applications. The COVID-19 pandemic boosted the democratization of this method as a "point of care testing" (POCT), and the trend is that these devices become protagonists for the monitoring of pesticides in the environment. However, designing LFA devices for detecting and monitoring pesticides in the environment is still a challenge. This is because analytes are small molecules and have only one antigenic determinant, which makes it difficult to apply direct immunoassays. Furthermore, most LFA devices provide only qualitative or semi-quantitative results and have a limited number of applications in multi-residue analysis. Here, we present the state of the art on the use of LFA in the environmental monitoring of pesticides. Based on well-documented results, we review all available LFA formats and strategies for pesticide detection, which may have important implications for the future of monitoring pesticides in the environment. The main advances, challenges, and perspectives of these devices for a direction in this field of study are also presented.
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Affiliation(s)
- Marcia Daniela Lazo Jara
- Department of Morphology, Federal University of Espirito Santo, Av Marechal Campos1468, Vitória, ES, 29.040-090, Brazil
| | | | - Marco C C Guimarães
- Department of Morphology, Federal University of Espirito Santo, Av Marechal Campos1468, Vitória, ES, 29.040-090, Brazil
| | - Paulo Wagnner Pereira Antunes
- Bioengen Consulting, Engineering and Environmental Planning, R. Belo Horizonte, Lote 05-Quadra W - Alterosas, Serra, ES, 29168-068, Brazil
| | - Jairo Pinto de Oliveira
- Department of Morphology, Federal University of Espirito Santo, Av Marechal Campos1468, Vitória, ES, 29.040-090, Brazil.
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9
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Affiliation(s)
- Pankaj Kumar
- Nano-Bioconjugate Chemistry Lab, Cluster Innovation Centre, University of Delhi, Delhi - 110007, India
- Department of Chemistry, University of Delhi, Delhi - 110007, India
| | - Niloy Sarkar
- Nano-Bioconjugate Chemistry Lab, Cluster Innovation Centre, University of Delhi, Delhi - 110007, India
- Department of Environmental Studies, University of Delhi, Delhi - 110007, India
| | - Amit Singh
- Nano-Bioconjugate Chemistry Lab, Cluster Innovation Centre, University of Delhi, Delhi - 110007, India
- Department of Chemistry, University of Delhi, Delhi - 110007, India
| | - Mahima Kaushik
- Nano-Bioconjugate Chemistry Lab, Cluster Innovation Centre, University of Delhi, Delhi - 110007, India
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10
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Parra-Arroyo L, González-González RB, Castillo-Zacarías C, Melchor Martínez EM, Sosa-Hernández JE, Bilal M, Iqbal HMN, Barceló D, Parra-Saldívar R. Highly hazardous pesticides and related pollutants: Toxicological, regulatory, and analytical aspects. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 807:151879. [PMID: 34826476 DOI: 10.1016/j.scitotenv.2021.151879] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 10/26/2021] [Accepted: 11/18/2021] [Indexed: 02/05/2023]
Abstract
The pervasive manifestation and toxicological influence of hazardous pesticides pose adverse consequences on various environmental matrices and humans, directly via bioaccumulation or indirectly through the food chain. Due to pesticide residues' continuous presence above permissible levels in multiple forms, much attention has been given to re-evaluating to regulate their usage practices without harming or affecting the environment. However, there are regulations in place banning the use of multiple hazardous pesticides in the environment. Thus, efforts must be made to achieve robust detection and complete mitigation of pesticides, possibly through a combination of new and conventional methods. The complex nature of pesticides helps them to react differently across different environmental matrices. Therefore, highly hazardous pesticides are a risk to human well-being and the environment through enzymatic inhibition and the induction of oxidative stress. Consequently, developing fast, sensitive sensing strategies is essential to detect and quantify multiple pesticides and remove the pesticides present in the specific matrix without creating harmful derivatives. Additionally, the technology should be available worldwide to eliminate pesticide residuals from the environment. There are regulations, in practice, that limit the selling, storage, use of pesticides, and their concentration in the environment, although such regulations must be revised. However, the existing literature lacks regulatory, analytical detection, and mitigation considerations for pesticide remediation. Furthermore, the enforcement of such regulations and strict monitoring of pesticides in developing countries are needed. This review spotlights various analytical detection, regulatory, and mitigation considerations for efficiently removing hazardous pesticides.
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Affiliation(s)
- Lizeth Parra-Arroyo
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
| | | | - Carlos Castillo-Zacarías
- Universidad Autónoma de Nuevo León, Facultad de Ingeniería Civil, Departamento de Ingeniería Ambiental, Ciudad Universitaria S/N, San Nicolás de los Garza, Nuevo León, C.P. 66455, Mexico
| | | | | | - Muhammad Bilal
- School of Life Science and Food Engineering, Huaiyin Institute of Technology, Huaian 223003, China
| | - Hafiz M N Iqbal
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico.
| | - Damià Barceló
- Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Jordi Girona, 18-26, 08034 Barcelona, Spain; Catalan Institute of Water Research (ICRA-CERCA), Parc Científic i Tecnològic de la Universitat de Girona, c/Emili Grahit, 101, Edifici H(2)O, 17003 Girona, Spain; College of Environmental and Resources Sciences, Zhejiang A&F University, Hangzhou 311300, China.
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11
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Okey‐Onyesolu CF, Hassanisaadi M, Bilal M, Barani M, Rahdar A, Iqbal J, Kyzas GZ. Nanomaterials as Nanofertilizers and Nanopesticides: An Overview. ChemistrySelect 2021. [DOI: 10.1002/slct.202102379] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
| | - Mohadeseh Hassanisaadi
- Department of Plant Protection Faculty of Agriculture Shahid Bahonar University of Kerman
| | - Muhammad Bilal
- School of Life Science and Food Engineering Huaiyin Institute of Technology Huaian 223003 China
| | - Mahmood Barani
- Medical Mycology and Bacteriology Research Center Kerman University of Medical Sciences Kerman 7616913555 Iran
| | - Abbas Rahdar
- Department of Physics University of Zabol Zabol, P. O. Box. 35856-98613 Islamic Republic of Iran
| | - Javed Iqbal
- Department of Botany Bacha Khan University Charsadda, khyber Pakhtunkhwa Pakistan
| | - George Z. Kyzas
- Department of Chemistry International Hellenic University Kavala Greece
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12
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Zhang X, Zou X, Wang Z, Wang Y, Zhang Y, Liu Z, Zhang T, Wang Y, Zhang G, Tian Y. Development of a quantum dot
s
‐based strip immunoassay for the detection of pyrimethanil in fruit and vegetable samples. J Food Saf 2021. [DOI: 10.1111/jfs.12890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Xiaoyu Zhang
- Yantai Center for Disease Control and Prevention Yantai People's Republic of China
| | - Xiaonan Zou
- Yantai Center for Disease Control and Prevention Yantai People's Republic of China
| | - Zhiyu Wang
- Yantai Center for Disease Control and Prevention Yantai People's Republic of China
| | - Ying Wang
- Yantai Center for Disease Control and Prevention Yantai People's Republic of China
| | - Yi Zhang
- Yantai Center for Disease Control and Prevention Yantai People's Republic of China
| | - Zejing Liu
- Yantai Center for Disease Control and Prevention Yantai People's Republic of China
| | - Tiantian Zhang
- Yantai Center for Disease Control and Prevention Yantai People's Republic of China
| | - Yihui Wang
- Yantai Center for Disease Control and Prevention Yantai People's Republic of China
| | - Guifang Zhang
- Yantai Center for Disease Control and Prevention Yantai People's Republic of China
| | - Yunlong Tian
- Yantai Center for Disease Control and Prevention Yantai People's Republic of China
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Rahman MM, Lee DJ, Jo A, Yun SH, Eun JB, Im MH, Shim JH, Abd El-Aty AM. Onsite/on-field analysis of pesticide and veterinary drug residues by a state-of-art technology: A review. J Sep Sci 2021; 44:2310-2327. [PMID: 33773036 DOI: 10.1002/jssc.202001105] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 03/12/2021] [Accepted: 03/13/2021] [Indexed: 11/08/2022]
Abstract
Pesticides and veterinary drugs are generally employed to control pests and insects in crop and livestock farming. However, remaining residues are considered potentially hazardous to human health and the environment. Therefore, regular monitoring is required for assessing and legislation of pesticides and veterinary drugs. Various approaches to determining residues in various agricultural and animal food products have been reported. Most analytical methods involve sample extraction, purification (cleanup), and detection. Traditional sample preparation is time-consuming labor-intensive, expensive, and requires a large amount of toxic organic solvent, along with high probability for the decomposition of a compound before the analysis. Thus, modern sample preparation techniques, such as the quick, easy, cheap, effective, rugged, and safe method, have been widely accepted in the scientific community for its versatile application; however, it still requires a laboratory setup for the extraction and purification processes, which also involves the utilization of a toxic solvent. Therefore, it is crucial to elucidate recent technologies that are simple, portable, green, quick, and cost-effective for onsite and infield residue detections. Several technologies, such as surface-enhanced Raman spectroscopy, quantum dots, biosensing, and miniaturized gas chromatography, are now available. Further, several onsite techniques, such as ion mobility-mass spectrometry, are now being upgraded; some of them, although unable to analyze field sample directly, can analyze a large number of compounds within very short time (such as time-of-flight and Orbitrap mass spectrometry). Thus, to stay updated with scientific advances and analyze organic contaminants effectively and safely, it is necessary to study all of the state-of-art technology.
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Affiliation(s)
- Md Musfiqur Rahman
- Natural Products Chemistry Laboratory, Chonnam National University, Gwangju, Republic of Korea
| | - Dong Ju Lee
- Natural Products Chemistry Laboratory, Chonnam National University, Gwangju, Republic of Korea
| | - Ara Jo
- Natural Products Chemistry Laboratory, Chonnam National University, Gwangju, Republic of Korea
| | - Seung Hee Yun
- Natural Products Chemistry Laboratory, Chonnam National University, Gwangju, Republic of Korea
| | - Jong-Bang Eun
- Department of Food Science and Technology and BK 21 plus Program, Graduate School of Chonnam National University, Gwangju, Republic of Korea
| | - Moo-Hyeog Im
- Department of Food Engineering, Daegu University, Gyeongbuk, Republic of Korea
| | - Jae-Han Shim
- Natural Products Chemistry Laboratory, Chonnam National University, Gwangju, Republic of Korea
| | - A M Abd El-Aty
- Department of Pharmacology, Faculty of Veterinary Medicine, Cairo University, Giza, Egypt.,Department of Medical Pharmacology, Medical Faculty, Ataturk University, Erzurum, Turkey
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14
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Recent developments in non-enzymatic (bio)sensors for detection of pesticide residues: Focusing on antibody, aptamer and molecularly imprinted polymer. Talanta 2021; 232:122397. [PMID: 34074393 DOI: 10.1016/j.talanta.2021.122397] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 04/01/2021] [Accepted: 04/02/2021] [Indexed: 12/13/2022]
Abstract
The utilization of pesticides has been increased in recent years due to population growth and increasing urbanization. The constant use of pesticides has resulted in contamination of the environment and agricultural products with serious human health concerns associated with their use. Therefore, detection and quantification of pesticides by sensitive and selective methods is highly required in food safety management. Traditional detection methods cannot realize highly sensitive, selective and on-site detection, which limits their application. (Bio)sensors and (bio)assays are emerging tools with unique properties such as rapid, sensitive, efficient and portable detection. Among them, enzyme-based biosensors have been widely developed and some have even been commercialized. However, they suffer from some limitations such as instability and low reproducibility that originate from the nature of enzyme. Non-enzymatic (bio)sensors overcome the current limitations of enzyme-based detection methods and provide great potential for efficient, highly sensitive and low-cost detection assays using smart and miniaturized devices. In this study, we provide an overview of recent advances and new trends in optical and electrochemical non-enzymatic (bio)sensors for the detection of pesticides by focusing on antibody, aptamer and molecularly imprinted polymer (MIP) as recognition elements. Performance, advantages and drawbacks of the developed (bio)sensors are discussed well. The main advantage these recognition elements is their stability over an extended period of time compared to the enzymes. Furthermore, the combination of nanomaterials in these (bio)sensors can significantly improve their performance.
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15
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Ganesan M, Nagaraaj P. Quantum dots as nanosensors for detection of toxics: a literature review. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2020; 12:4254-4275. [PMID: 32940270 DOI: 10.1039/d0ay01293a] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Great advances have been made in sensor-based methods for chemical analysis owing to their high sensitivity, selectivity, less testing time, and minimal usage of chemical reagents. Quantum Dots (QDs) having excellent optical properties have been thoroughly explored for variety of scientific applications wherein light plays an important role. In recent years, there have been an increasing number of publications on the applications of QDs as photoluminescent nanosensors for the detection of chemicals and biomolecules. However, there has been hardly any publication describing the use of QDs in the detection of various toxic chemicals at one place. Hence, a literature survey has been made on the applications of QDs as chemosensors for the detection of gaseous, anionic, phenolic, metallic, drug-overdose, and pesticide poison so as to open a new perspective towards the role of sensors in analytical toxicology. In this review, the QD-based analysis of biospecimens for poison detection in clinical and forensic toxicology laboratories is highlighted.
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Affiliation(s)
- Muthupandian Ganesan
- Toxicology Division, Regional Forensic Science Laboratory, Forensic Sciences Department, Forensic House, Chennai-4, India.
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16
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Wang X, Chen C, Chen Y, Kong F, Xu Z. Detection of dibutyl phthalate in food samples by fluorescence ratio immunosensor based on dual-emission carbon quantum dot labelled aptamers. FOOD AGR IMMUNOL 2020. [DOI: 10.1080/09540105.2020.1774746] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Affiliation(s)
- Ximo Wang
- Key Laboratory of Food Processing Technology and Quality Control in Shandong Province, College of Food Science and Engineering, Shandong Agricultural University, Taian, People’s Republic of China
| | - Chen Chen
- Key Laboratory of Food Processing Technology and Quality Control in Shandong Province, College of Food Science and Engineering, Shandong Agricultural University, Taian, People’s Republic of China
| | - Yongfeng Chen
- Key Laboratory of Food Processing Technology and Quality Control in Shandong Province, College of Food Science and Engineering, Shandong Agricultural University, Taian, People’s Republic of China
| | - Feifan Kong
- Shandong Wuzhou Testing Co., Ltd., Sishui, People’s Republic of China
| | - Zhixiang Xu
- Key Laboratory of Food Processing Technology and Quality Control in Shandong Province, College of Food Science and Engineering, Shandong Agricultural University, Taian, People’s Republic of China
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17
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Lan X, Zhu L, Xu W. Novel immuno-nucleic acid cooperative detection technology for food safety. FOOD AGR IMMUNOL 2020. [DOI: 10.1080/09540105.2020.1763261] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Affiliation(s)
- Xinyue Lan
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, People’s Republic of China
- Key Laboratory of Functional Dairy, Ministry of Education, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, People’s Republic of China
| | - Longjiao Zhu
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, People’s Republic of China
| | - Wentao Xu
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, People’s Republic of China
- Key Laboratory of Functional Dairy, Ministry of Education, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, People’s Republic of China
- Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety), Ministry of Agriculture and Rural Affairs, Beijing, People’s Republic of China
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18
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Highly sensitive fluorescence-linked immunosorbent assay based on aggregation-induced emission luminogens incorporated nanobeads. Biosens Bioelectron 2020; 150:111912. [DOI: 10.1016/j.bios.2019.111912] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 11/13/2019] [Accepted: 11/20/2019] [Indexed: 12/19/2022]
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19
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Wang X, Chen C, Xu L, Zhang H, Xu Z. Development of molecularly imprinted biomimetic immunoassay method based on quantum dot marker for detection of phthalates. FOOD AGR IMMUNOL 2019. [DOI: 10.1080/09540105.2019.1649371] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Affiliation(s)
- Ximo Wang
- Key Laboratory of Food Processing Technology and Quality Control in Shandong Province, College of Food Science and Engineering, Shandong Agricultural University, Taian, People’s Republic of China
| | - Chen Chen
- Key Laboratory of Food Processing Technology and Quality Control in Shandong Province, College of Food Science and Engineering, Shandong Agricultural University, Taian, People’s Republic of China
| | - Longhua Xu
- Key Laboratory of Food Processing Technology and Quality Control in Shandong Province, College of Food Science and Engineering, Shandong Agricultural University, Taian, People’s Republic of China
| | - Hongyan Zhang
- College of Life Science, Shandong Normal University, Jinan, PR People’s Republic of China
| | - Zhixiang Xu
- Key Laboratory of Food Processing Technology and Quality Control in Shandong Province, College of Food Science and Engineering, Shandong Agricultural University, Taian, People’s Republic of China
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