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Qian W, Zhou J, Chen Y, Liu H, Ding P, Liu Y, Liang C, Zhu X, Zhang Y, Liu E, Wang A, Zhang G. Label-free electrochemical immunosensor based on staphylococcal protein a and AgNPs-rGO-Nf for sensitive detection of virginiamycin M1. Bioelectrochemistry 2023; 153:108489. [PMID: 37354640 DOI: 10.1016/j.bioelechem.2023.108489] [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: 04/11/2023] [Revised: 05/28/2023] [Accepted: 06/09/2023] [Indexed: 06/26/2023]
Abstract
Virginiamycin (VIR), a feed additive, is used to promote pig and poultry growth. However, it is hazardous to human health. This work described a label-free electrochemical immunosensor based on silver nanoparticles-reduced graphene oxide (AgNPs-rGO) nanocomposites and staphylococcal protein A (SPA) for the first time to directly detect the residual marker VIR M1. Good catalytic currents for oxygen reduction reaction were apparently obtained after the modification of nanocomposites on gold electrode. Nanocomposites were characterized using UV-Vis, X-ray diffraction (XRD) patterns, Fourier transform infrared spectroscopy (FTIR) and transmission electron microscopy (TEM). SPA was targeted to immobilize VIR M1 monoclonal antibody (mAb) by binding to Fc region of antibody. The proposed immunosensor showed a wide linear range from 0.25 ng mL-1 to 100 ng mL-1, providing detection limit (LOD) of 0.18 ng mL-1 of VIR M1. Recovery rates ranged from 92.27% to 98.84%, and relative standard deviation (RSD) was not above 6.6%, indicating the immunosensor could detect VIR M1 in actual samples with high accuracy. The sensor showed good selectivity, reproducibility and stability and could be considered as a potential tool for detection of VIR M1 in feed and animal derived food.
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Affiliation(s)
- Wenjing Qian
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Henan Key Laboratory of Immunobiology, Zhengzhou 450001, China
| | - Jingming Zhou
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Henan Key Laboratory of Immunobiology, Zhengzhou 450001, China
| | - Yumei Chen
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Longhu Laboratory of Advanced Immunology, Zhengzhou 450002, China; Henan Key Laboratory of Immunobiology, Zhengzhou 450001, China
| | - Hongliang Liu
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Henan Key Laboratory of Immunobiology, Zhengzhou 450001, China
| | - Peiyang Ding
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Longhu Laboratory of Advanced Immunology, Zhengzhou 450002, China; Henan Key Laboratory of Immunobiology, Zhengzhou 450001, China
| | - Yankai Liu
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Henan Key Laboratory of Immunobiology, Zhengzhou 450001, China
| | - Chao Liang
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Henan Key Laboratory of Immunobiology, Zhengzhou 450001, China
| | - Xifang Zhu
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Henan Key Laboratory of Immunobiology, Zhengzhou 450001, China
| | - Ying Zhang
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Henan Key Laboratory of Immunobiology, Zhengzhou 450001, China
| | - Enping Liu
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Henan Key Laboratory of Immunobiology, Zhengzhou 450001, China
| | - Aiping Wang
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Longhu Laboratory of Advanced Immunology, Zhengzhou 450002, China; Henan Key Laboratory of Immunobiology, Zhengzhou 450001, China.
| | - Gaiping Zhang
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Longhu Laboratory of Advanced Immunology, Zhengzhou 450002, China; Henan Key Laboratory of Immunobiology, Zhengzhou 450001, China; School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China.
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Byzova NA, Serchenya TS, Vashkevich II, Zherdev AV, Sviridov OV, Dzantiev BB. Lateral flow immunoassay for rapid qualitative and quantitative control of the veterinary drug bacitracin in milk. Microchem J 2020. [DOI: 10.1016/j.microc.2020.104884] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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Ahmed S, Ning J, Peng D, Chen T, Ahmad I, Ali A, Lei Z, Abu bakr Shabbir M, Cheng G, Yuan Z. Current advances in immunoassays for the detection of antibiotics residues: a review. FOOD AGR IMMUNOL 2020. [DOI: 10.1080/09540105.2019.1707171] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
Affiliation(s)
- Saeed Ahmed
- National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for the Detection of Veterinary Drug Residues in Foods, Huazhong Agricultural University, Wuhan, People’s Republic of China
| | - Jianan Ning
- National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for the Detection of Veterinary Drug Residues in Foods, Huazhong Agricultural University, Wuhan, People’s Republic of China
| | - Dapeng Peng
- National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for the Detection of Veterinary Drug Residues in Foods, Huazhong Agricultural University, Wuhan, People’s Republic of China
| | - Ting Chen
- National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for the Detection of Veterinary Drug Residues in Foods, Huazhong Agricultural University, Wuhan, People’s Republic of China
| | - Ijaz Ahmad
- Department of Animal Health, The University of Agriculture, Peshawar, Pakistan
| | - Aashaq Ali
- Wuhan institute of Virology, Chinese Academy of Science, Wuhan, People’s Republic of China
| | - Zhixin Lei
- National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for the Detection of Veterinary Drug Residues in Foods, Huazhong Agricultural University, Wuhan, People’s Republic of China
| | - Muhammad Abu bakr Shabbir
- National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for the Detection of Veterinary Drug Residues in Foods, Huazhong Agricultural University, Wuhan, People’s Republic of China
| | - Guyue Cheng
- National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for the Detection of Veterinary Drug Residues in Foods, Huazhong Agricultural University, Wuhan, People’s Republic of China
| | - Zonghui Yuan
- National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for the Detection of Veterinary Drug Residues in Foods, Huazhong Agricultural University, Wuhan, People’s Republic of China
- MOA Laboratory for Risk Assessment of Quality and Safety of Livestock and Poultry Products, Huazhong Agricultural University, Wuhan, People’s Republic of China
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Yan S, Lai X, Du G, Xiang Y. Identification of aminoglycoside antibiotics in milk matrix with a colorimetric sensor array and pattern recognition methods. Anal Chim Acta 2018; 1034:153-160. [PMID: 30193629 DOI: 10.1016/j.aca.2018.06.004] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2018] [Revised: 04/20/2018] [Accepted: 06/03/2018] [Indexed: 11/28/2022]
Abstract
Aminoglycoside antibiotics (AAs) abused in animal husbandry can cause antibiotic residues in animal-derived foods, which do harm to human beings' health. Therefore the detection of AAs residues in the animal-origin foods, such as milk, eggs and meat is necessary. We used two single-stranded DNA (ssDNA) oligonucleotides as nonspecific receptors to develop a simple colorimetric sensor array based on gold nanoparticles (AuNPs) for identification and quantification the AAs. Different AA addition triggered the DNA detaching from AuNPs then resulted in different degree salt induced aggregation of AuNPs. The aggregation induced spectral changes of AuNPs with five AA addition were analyzed based on pattern recognition techniques, fisher linear discriminant analysis (FLD) and hierarchical cluster analysis (HCA). The results indicated that colorimetric sensor array has successfully identified five AAs at a concentration range of 120-280 nM. Five AAs in aqueous solution and complex milk matrix can be identified with an accuracy of 100%. More importantly, our developed sensor array is sufficiently sensitive for the discrimination of pure streptomycin (STR), binary mixtures of STR and gentamicin (GEN) at a total concentration of 120 nM.
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Affiliation(s)
- Shang Yan
- Department of Chemistry, Capital Normal University, Beijing, 100048, China
| | - Xiaoxia Lai
- Department of Chemistry, Capital Normal University, Beijing, 100048, China
| | - Guorong Du
- Beijing Third Class Tobacco Supervision Station, Beijing, PR China
| | - Yuhong Xiang
- Department of Chemistry, Capital Normal University, Beijing, 100048, China.
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Valese AC, Molognoni L, de Souza NC, de Sá Ploêncio LA, Costa ACO, Barreto F, Daguer H. Development, validation and different approaches for the measurement uncertainty of a multi-class veterinary drugs residues LC-MS method for feeds. J Chromatogr B Analyt Technol Biomed Life Sci 2017; 1053:48-59. [PMID: 28411464 DOI: 10.1016/j.jchromb.2017.03.026] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Revised: 03/06/2017] [Accepted: 03/22/2017] [Indexed: 11/25/2022]
Abstract
A sensitive method for the simultaneous residues analysis of 62 veterinary drugs in feeds by liquid chromatography-tandem mass spectrometry has been developed and validated in accordance to Commission Decision 657/2002/EC. Additionally, limits of detection (LOD), limits of quantitation (LOQ), matrix effects and measurement uncertainty were also assessed. Extraction was performed for all analytes and respective internal standards in a single step and chromatographic separation was achieved in only 12min. LOQ were set to 0.63-5.00μgkg-1 (amphenicols), 0.63-30.00μgkg-1 (avermectins), 0.63μgkg-1 (benzimidazoles), 0.25-200.00μgkg-1 (coccidiostats), 0.63-200.00μgkg-1 (lincosamides and macrolides), 0.25-5.00μgkg-1 (nitrofurans), 0.63-20.00μgkg-1 (fluoroquinolones and quinolones), 15.00μgkg-1 (quinoxaline), 0.63-7.50μgkg-1 (sulfonamides), 0.63-20.00μgkg-1 (tetracyclines), 0.25μgkg-1 (β-agonists), and 30.00μgkg-1 (β-lactams). The top-down approach was adequate for the calculation of measurement uncertainty for all analytes, except the banned substances, which should be rather assessed by the bottom-up approach. Routine analysis of different types of feeds was then carried out. An interesting profile of residues of veterinary drugs among samples was revealed, enlightening the need for stricter control in producing animals. Among the total of 27 feed samples, 20 analytes could be detected/quantified, ranging from trace levels to very high concentrations. A high throughput screening/confirmatory method for the residue analysis of several veterinary drugs in feeds was proposed as a helpful control tool.
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Affiliation(s)
- Andressa Camargo Valese
- Ministério da Agricultura, Pecuária e Abastecimento, Laboratório Nacional Agropecuário, Seção Laboratorial Avançada (SLAV/LANAGRO/RS), São José, SC 88102-600, Brazil; Universidade Federal de Santa Catarina (UFSC), Programa de Pós-graduação em Ciência de Alimentos, Centro de Ciências Agrárias, Florianópolis, SC 88034-000, Brazil
| | - Luciano Molognoni
- Ministério da Agricultura, Pecuária e Abastecimento, Laboratório Nacional Agropecuário, Seção Laboratorial Avançada (SLAV/LANAGRO/RS), São José, SC 88102-600, Brazil; Instituto Catarinense de Sanidade Agropecuária (ICASA), Florianópolis, SC 88034-000, Brazil
| | - Naielly Coelho de Souza
- Ministério da Agricultura, Pecuária e Abastecimento, Laboratório Nacional Agropecuário, Seção Laboratorial Avançada (SLAV/LANAGRO/RS), São José, SC 88102-600, Brazil; UFSC, Departamento de Química, Campus Universitário Trindade, Florianópolis, SC 88404-900, Brazil
| | - Leandro Antunes de Sá Ploêncio
- Ministério da Agricultura, Pecuária e Abastecimento, Laboratório Nacional Agropecuário, Seção Laboratorial Avançada (SLAV/LANAGRO/RS), São José, SC 88102-600, Brazil; UFSC, Departamento de Química, Campus Universitário Trindade, Florianópolis, SC 88404-900, Brazil
| | - Ana Carolina Oliveira Costa
- Universidade Federal de Santa Catarina (UFSC), Programa de Pós-graduação em Ciência de Alimentos, Centro de Ciências Agrárias, Florianópolis, SC 88034-000, Brazil
| | - Fabiano Barreto
- Ministério da Agricultura, Pecuária e Abastecimento, Laboratório Nacional Agropecuário, Seção Laboratorial Avançada (SLAV/LANAGRO/RS), São José, SC 88102-600, Brazil
| | - Heitor Daguer
- Ministério da Agricultura, Pecuária e Abastecimento, Laboratório Nacional Agropecuário, Seção Laboratorial Avançada (SLAV/LANAGRO/RS), São José, SC 88102-600, Brazil.
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