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Lammertyn S, Magni FV, Durán A, Repetti MR, Godoy JL, Zalazar CS. Earthworm injury test for in-situ biomonitoring of pesticides in biobeds. CHEMOSPHERE 2024; 363:142923. [PMID: 39059642 DOI: 10.1016/j.chemosphere.2024.142923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 07/18/2024] [Accepted: 07/20/2024] [Indexed: 07/28/2024]
Abstract
Biobeds are presented as an alternative for good pesticide wastewater management on farms. This work proposes a new test for in-situ biomonitoring of pesticide detoxification in biobeds. It is based on the assessment of visually appreciable injuries to Eisenia fetida. The severity of the injury to each exposed individual is assessed from the morphological changes observed in comparison with the patterns established in seven categories and, an injury index is calculated. A linear relationship between the proposed injury index and the pesticide concentration was determined for each pesticide sprayed individually in the biomixture. The five pesticides used were atrazine, prometryn, clethodim, haloxyfop-P-methyl and dicamba. In addition, a multiple linear regression model (i.e., a multivariate response surface) was fitted, which showed a good generalization capacity. The sensitivity range of the injury test was tested from 0.01 to 630 mg kg-1 as the total pesticide concentration. This index is then used to monitor the detoxification of these pesticides in a biomixture (composed of wheat stubble, river waste, and soil, 50:25:25% by volume) over 210 days. The results are compared with standardized tests (Eisenia fetida avoidance test and Lactuca sativa seed germination test) carried out on the same biomixture. The results are also compared with data on the removal of pesticides. The injury test showed a better correlation with the removal of pesticides than the avoidance test and seed germination test. This simple and inexpensive test has proved to be useful for decontamination in-situ monitoring in biobeds.
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Affiliation(s)
- Sofía Lammertyn
- Instituto de Desarrollo Tecnológico para la Industria Química (INTEC, UNL-CONICET), (3000), Santa Fe, Argentina
| | - Florencia V Magni
- Programa de Investigación y Análisis de Residuos y Contaminantes Químicos (PRINARC), Facultad de Ingeniería Química, Universidad Nacional del Litoral, Santiago del Estero 2654, 3000, Santa Fe, Argentina
| | - Alejandra Durán
- Instituto de Desarrollo Tecnológico para la Industria Química (INTEC, UNL-CONICET), (3000), Santa Fe, Argentina
| | - María Rosa Repetti
- Programa de Investigación y Análisis de Residuos y Contaminantes Químicos (PRINARC), Facultad de Ingeniería Química, Universidad Nacional del Litoral, Santiago del Estero 2654, 3000, Santa Fe, Argentina
| | - José Luis Godoy
- Instituto de Desarrollo Tecnológico para la Industria Química (INTEC, UNL-CONICET), (3000), Santa Fe, Argentina.
| | - Cristina S Zalazar
- Instituto de Desarrollo Tecnológico para la Industria Química (INTEC, UNL-CONICET), (3000), Santa Fe, Argentina; Dep. Medioambiente. FICH-UNL, Ciudad Universitaria, (3000), Santa Fe, Argentina
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Guercetti J, Pascual N, Aviñó A, Eritja R, Salvador JP, Marco MP. DNA-directed immobilization fluorescent immunoarray for multiplexed antibiotic residue determination in milk. Anal Bioanal Chem 2024:10.1007/s00216-024-05481-9. [PMID: 39196335 DOI: 10.1007/s00216-024-05481-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 08/01/2024] [Accepted: 08/05/2024] [Indexed: 08/29/2024]
Abstract
The presence of antibiotic residues in cow's milk entails high risk for consumers, the dairy industry, and the environment. Therefore, the development of highly specific and sensitive screening tools for the rapid and cost-effective identification of traces of these compounds is urgently needed. A multiplexed screening platform utilizing DNA-directed immobilization (DDI) was developed aiming to detect three classes of antibiotic residues (fluoroquinolones, sulfonamides, and tylosin) prevalently found in milk. Throughout this work, each oligonucleotide sequence was conjugated to a different hapten molecule, while the three complementary strands were immobilized in 24 independent microarray chips on a single glass slide. First, the array was incubated with the pool of hapten-oligonucleotide conjugate site encoded the signal through DNA hybridization. Next, commercial milk samples were incubated with the cocktail of monoclonal antibodies following a secondary fluorophore-labeled antibody which was required for fluorescent readout. Direct sample detection was achieved in milk diluting 20 times in assay buffer. The limits of detection (LODs) reached were 1.43 µg kg-1, 1.67 µg kg-1, and 0.89 µg kg-1 for TYLA, STZ, and CIP, respectively, which represented in raw milk 7.15 µg kg-1, 8.35 µg kg-1, and 4.45 µg kg-1 for TYLA, STZ, and CIP, respectively, that are below the EU regulatory limits. Cross-reactivity profiles were evaluated against the family of structurally related antibiotics in order to demonstrate the capability to detect antibiotics from the same family of compounds. A pre-validation study was performed by spiking 20 blind samples above and below the maximum residue limits established by the EU guidelines. The system was successfully implemented towards randomized sample classification as compliant or non-compliant. The proposed DDI-based immunoarray provides a fast and cost-effective alternative to obtain semi-quantitative information about the presence of three veterinary residues simultaneously in milk samples.
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Affiliation(s)
- J Guercetti
- Nanobiotechnology for Diagnostics (Nb4D), Department of Chemical and Biomolecular Nanotechnology, Institute for Advanced Chemistry of Catalonia (IQAC), Spanish Council for Scientific Research (CSIC), Jordi Girona 18-26, Barcelona, 08034, Spain
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | - N Pascual
- Nanobiotechnology for Diagnostics (Nb4D), Department of Chemical and Biomolecular Nanotechnology, Institute for Advanced Chemistry of Catalonia (IQAC), Spanish Council for Scientific Research (CSIC), Jordi Girona 18-26, Barcelona, 08034, Spain
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | - A Aviñó
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
- Nucleic Acid Chemistry Group, Department of Chemical and Biomolecular Nanotechnology, Institute of Advanced Chemistry of Catalonia (IQAC), Spanish National Research Council (CSIC), Jordi Girona 18-26, Barcelona, 08034, Spain
| | - R Eritja
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
- Nucleic Acid Chemistry Group, Department of Chemical and Biomolecular Nanotechnology, Institute of Advanced Chemistry of Catalonia (IQAC), Spanish National Research Council (CSIC), Jordi Girona 18-26, Barcelona, 08034, Spain
| | - J-P Salvador
- Nanobiotechnology for Diagnostics (Nb4D), Department of Chemical and Biomolecular Nanotechnology, Institute for Advanced Chemistry of Catalonia (IQAC), Spanish Council for Scientific Research (CSIC), Jordi Girona 18-26, Barcelona, 08034, Spain.
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain.
| | - M-P Marco
- Nanobiotechnology for Diagnostics (Nb4D), Department of Chemical and Biomolecular Nanotechnology, Institute for Advanced Chemistry of Catalonia (IQAC), Spanish Council for Scientific Research (CSIC), Jordi Girona 18-26, Barcelona, 08034, Spain
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
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Zhang L, Wang J, Wang Y, Wen H, Ding M, Xiao J, Yang H, Pan X, Han S, Peng D. Preparation of monoclonal antibodies recognizing pharmacologically active metabolites of metamizole based on rational hapten design and their application in the detection of animal-derived food. Talanta 2024; 280:126753. [PMID: 39217712 DOI: 10.1016/j.talanta.2024.126753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Revised: 07/24/2024] [Accepted: 08/21/2024] [Indexed: 09/04/2024]
Abstract
Metamizole (MET) is an antipyretic and analgesic drug, the illegal use of which can result in residues of MET metabolites in edible tissues of animals. In this study, a computational chemistry-assisted hapten screening strategy was used to screen for the optimal immunogenic hapten-A and the optimal coating antigen hapten-G-OVA. A monoclonal antibody capable of recognizing two pharmacologically active metabolites of MET, 4-methylamidinoantipyrine (MAA) and 4-aminoantipyrine (AA), was prepared from the hapten-A. The antibody showed excellent specificity for MAA and AA and almost no cross-reactivity with the pharmacologically inactive metabolites 4-formamidinoantipyrine (FAA) and 4-acetamidinoantipyrine (AAA). An ic-ELISA was developed for the simultaneous detection of MAA and AA in animal-derived food, the limits of detection for MAA ranged from 0.93 to 1.18 μg/kg, while those for AA ranged from 1.74 to 4.61 μg/kg. The recovery rate fell within the range of 82 %-110 %, with a coefficient of variation less than 16.39 %.
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Affiliation(s)
- Linwei Zhang
- State Key Laboratory of Agricultural Microbiology, National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan, 430070, PR China
| | - Jiacan Wang
- State Key Laboratory of Agricultural Microbiology, National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan, 430070, PR China
| | - Yiting Wang
- State Key Laboratory of Agricultural Microbiology, National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan, 430070, PR China
| | - Hao Wen
- State Key Laboratory of Agricultural Microbiology, National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan, 430070, PR China
| | - Mingyue Ding
- State Key Laboratory of Agricultural Microbiology, National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan, 430070, PR China
| | - Jiaxu Xiao
- State Key Laboratory of Agricultural Microbiology, National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan, 430070, PR China
| | - Hongfei Yang
- State Key Laboratory of Agricultural Microbiology, National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan, 430070, PR China
| | - Xiaoming Pan
- State Key Laboratory of Agricultural Microbiology, National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan, 430070, PR China
| | - Shiyun Han
- State Key Laboratory of Agricultural Microbiology, National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan, 430070, PR China
| | - Dapeng Peng
- State Key Laboratory of Agricultural Microbiology, National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan, 430070, PR China; Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan, 430070, PR China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518000, PR China.
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Wang Z, Wang M, Fu X, Qian J, Wang M, Tan G. Novel hapten design, highly sensitive monoclonal antibody production, and immunoassay development for rapid screening of illegally added chloramphenicol in cosmetics. J Immunol Methods 2024; 525:113604. [PMID: 38142928 DOI: 10.1016/j.jim.2023.113604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 12/12/2023] [Accepted: 12/19/2023] [Indexed: 12/26/2023]
Abstract
Hapten design and synthesis have been regarded as the key factor to generate high-quality antibodies. In the present study, a novel hapten of chloramphenicol was synthesized, characterized and compared with two conventional haptens. The new hapten generated mAb 4B5 showed higher sensitivity and titer than the other two haptens-based mAbs. The haptens synthesized with the structure of chloramphenicol base generated more sensitive antibodies than the hapten with chloramphenicol succinate, and the spacer arm linked to the phenyl group hapten elicited the strongest antibody response. After optimization, a direct competitive enzyme-linked immunosorbent assay (dcELISA) and a lateral flow immunoassay (LFIA), both based on the mAb 4B5, were developed. The dcELISA had a half maximum inhibition concentration of 0.23 ng/mL and the LFIA showed a cutoff value of 5-10 ng/mL. The LFIA was applied to detect illegally-added chloramphenicol samples in anti-acne cosmetics, five out of 19 samples were tested chloramphenicol containing within 10 min, which result was confirmed with the dcELISA and HPLC. The LFIA has an adequate sensitivity and can be used as a point of care diagnostic device for rapidly screening chloramphenicol in cosmetics.
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Affiliation(s)
- Zhaoxiang Wang
- College of Life Sciences, Capital Normal University, Beijing 100089, China; College of Agriculture and Biotechnology, China Agricultural University, Beijing 100193, China
| | - Mian Wang
- College of Agriculture and Biotechnology, China Agricultural University, Beijing 100193, China
| | - Xiaoxiang Fu
- College of Agriculture and Biotechnology, China Agricultural University, Beijing 100193, China
| | - Jingqi Qian
- College of Agriculture and Biotechnology, China Agricultural University, Beijing 100193, China.
| | - Min Wang
- College of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing 100048, China.
| | - Guiyu Tan
- College of Agriculture and Biotechnology, China Agricultural University, Beijing 100193, China
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