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Nguyen SH, Nguyen VN, Tran MT. Ampicillin detection using absorbance biosensors utilizing Mn-doped ZnS capped with chitosan micromaterials. Heliyon 2024; 10:e31617. [PMID: 38826735 PMCID: PMC11141450 DOI: 10.1016/j.heliyon.2024.e31617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 05/18/2024] [Accepted: 05/20/2024] [Indexed: 06/04/2024] Open
Abstract
The detection of ampicillin plays a crucial role in managing and monitoring its usage and resistance. This study introduces a simple and effective biosensor for ampicillin detection, utilizing the unique absorbance features of Mn-doped ZnS capped by chitosan micromaterials in conjunction with β-lactamase activity. The biosensors can detect ampicillin concentrations from 13.1 to 72.2 μM, with a minimum detection limit of 2.93 μM for sensors based on 300 mg/L of the sensing material. In addition, these sensors show high specificity for ampicillin over other antibiotics such as penicillin, tetracycline, amoxicillin, cephalexin, and a non-antibiotic-glucose. This specificity is demonstrated by an enhancing effect when beta-lactamase is used, as opposed to a quenching effect observed at 340 nm in the absorbance spectrum when no beta-lactamase is present. This research highlights the potential of affordable chitosan-capped Mn-doped ZnS micromaterials for detecting ampicillin through simple absorbance measurements, which could improve the monitoring of antibiotics in both clinical and environmental settings.
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Affiliation(s)
- Son Hai Nguyen
- School of Mechanical Engineering, Hanoi University of Science and Technology, Hanoi, 100000, Viet Nam
| | - Van-Nhat Nguyen
- College of Engineering and Computer Science, VinUniversity, Hanoi, 100000, Viet Nam
| | - Mai Thi Tran
- College of Engineering and Computer Science, VinUniversity, Hanoi, 100000, Viet Nam
- VinUni-Illinois Smart Health Center, VinUniversity, Hanoi, 100000, Viet Nam
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2
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Sousa M, Rocha R, Araújo D, Castro J, Barbosa A, Azevedo NF, Cerqueira L, Almeida C. A New Peptide Nucleic Acid Fluorescence In Situ Hybridization Probe for the Specific Detection of Salmonella Species in Food Matrices. Foodborne Pathog Dis 2024; 21:298-305. [PMID: 38484326 DOI: 10.1089/fpd.2023.0127] [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] [Indexed: 05/12/2024] Open
Abstract
Salmonella spp. is among the most central etiological agents in foodborne bacterial disorders. To identify Salmonella spp., numerous new molecular techniques have been developed conversely to the traditional culture-based methods. In this work, a new peptide nucleic acid fluorescence in situ hybridization (PNA-FISH) method was developed for the specific detection of Salmonella species, allowing a faster analysis compared with the traditional methods (ISO 6579-1: 2017). The method was optimized based on a novel PNA probe (SalPNA1692) combined with a blocker probe to detect Salmonella in food samples through an assessment of diverse-rich and selective enrichment broths. Our findings indicated that the best outcome was obtained using a 24-h pre-enrichment step in buffered peptone water, followed by RambaQuick broth selective enrichment for 16 h. For the enrichment step performance validation, fresh ground beef was artificially contaminated with two ranges of concentration of inoculum: a low level (0.2-2 colony-forming units [CFUs]/25 g) and a high level (2-10 CFUs/25 g). The new PNA-FISH method presented a specificity of 100% and a detection limit of 0.5 CFU/25 g of food sample, which confirms the great potential of applying PNA probes in food analysis.
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Affiliation(s)
- Mário Sousa
- Biomode SA, Av. Mestre José Veiga, Braga, Portugal
| | - Rui Rocha
- Biomode SA, Av. Mestre José Veiga, Braga, Portugal
- Center of Biological Engineering (CEB), Campus de Gualtar, University of Minho, Braga, Portugal
- Laboratory for Process Engineering, Environment, and Energy and Biotechnology Engineering (LEPABE), Department of Chemical Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto, Portugal
- CISAS-Center for Research and Development in Agrifood Systems and Sustainability, Instituto Politécnico de Viana do Castelo, Rua Escola Industrial e Comercial de Nun'Álvares, Viana do Castelo, Portugal
| | - Daniela Araújo
- Center of Biological Engineering (CEB), Campus de Gualtar, University of Minho, Braga, Portugal
- INIAV, IP-National Institute for Agrarian and Veterinary Research, Rua dos Lagidos, Lugar da Madalena, Vairão, Vila do Conde, Portugal
| | - Joana Castro
- Center of Biological Engineering (CEB), Campus de Gualtar, University of Minho, Braga, Portugal
- INIAV, IP-National Institute for Agrarian and Veterinary Research, Rua dos Lagidos, Lugar da Madalena, Vairão, Vila do Conde, Portugal
| | - Ana Barbosa
- Laboratory for Process Engineering, Environment, and Energy and Biotechnology Engineering (LEPABE), Department of Chemical Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto, Portugal
- AliCE-Associate Laboratory in Chemical Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto, Portugal
| | - Nuno F Azevedo
- Laboratory for Process Engineering, Environment, and Energy and Biotechnology Engineering (LEPABE), Department of Chemical Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto, Portugal
- AliCE-Associate Laboratory in Chemical Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto, Portugal
| | - Laura Cerqueira
- Biomode SA, Av. Mestre José Veiga, Braga, Portugal
- Laboratory for Process Engineering, Environment, and Energy and Biotechnology Engineering (LEPABE), Department of Chemical Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto, Portugal
- AliCE-Associate Laboratory in Chemical Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto, Portugal
| | - Carina Almeida
- Biomode SA, Av. Mestre José Veiga, Braga, Portugal
- Center of Biological Engineering (CEB), Campus de Gualtar, University of Minho, Braga, Portugal
- Laboratory for Process Engineering, Environment, and Energy and Biotechnology Engineering (LEPABE), Department of Chemical Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto, Portugal
- INIAV, IP-National Institute for Agrarian and Veterinary Research, Rua dos Lagidos, Lugar da Madalena, Vairão, Vila do Conde, Portugal
- AliCE-Associate Laboratory in Chemical Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto, Portugal
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Liu C, Lin H, Cao L, Wang K, Sui J. Characterization, specific recognition, and the performance in fish matrix of a shark-derived single-domain antibody against enrofloxacin. Talanta 2023; 265:124852. [PMID: 37385191 DOI: 10.1016/j.talanta.2023.124852] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 06/16/2023] [Accepted: 06/19/2023] [Indexed: 07/01/2023]
Abstract
The third generation of genetic engineering antibodies, single-domain antibodies, have been widely reported as potential biomaterials in recognizing small molecular hazards. In this study, a shark-derived single-domain antibody was used as the recognition element for the first time to detect enrofloxacin (ENR), one of the most representative hazards in aquaculture. An ENR-specific clone named 2E6 was isolated by phage display technology. Experimental results proved that 2E6 ssdAb showed high affinity to ENR-PEI complete antigen, with the highest OD450 value of 1.348 in binding ELISA. Through icELISA, it was determined that the IC50 of 2E6 ssdAb to ENR was 19.230 ng/mL, while the IC10 was 0.975 ng/mL, with rare recognition to other fluoroquinolones, which showed high sensitivity and specificity to ENR. The 2E6 ssdAb also performed excellently in fish matrix immunoassay. Results showed that the ENR-negative fish matrix did not seriously interfere with the recognition of 2E6 ssdAb to ENR-OVA, with the matrix index between 4.85% and 11.75%, while the results of icELISA in ENR-spiked fish matrix showed that 2E6 ssdAb could recognize the target ENR in different ENR-spiked concentrations of the fish matrix (10-1000 ng/mL), with the recovery between 89.30% and 126.38% and the RSD between 1.95% and 9.83%. This study broadens the application scenario of shark-derived single-domain antibodies as small molecule recognition biomaterials, providing a new recognition element on ENR detection for immunoassay.
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Affiliation(s)
- Chang Liu
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong, 266100, China
| | - Hong Lin
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong, 266100, China
| | - Limin Cao
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong, 266100, China
| | - Kaiqiang Wang
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong, 266100, China
| | - Jianxin Sui
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong, 266100, China.
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Zhang Z, Lin H, Sui J, Han X, Wang L, Sun X, Cao L. The effect of chlorophyll on the enzyme-linked immunosorbent assay (ELISA) of procymidone in vegetables and the way to overcome the matrix interference. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2022; 102:3393-3399. [PMID: 34825360 DOI: 10.1002/jsfa.11686] [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: 05/27/2021] [Revised: 11/23/2021] [Accepted: 11/25/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND There is now an increasing demand for the immunoassay of procymidone residue in foodstuffs. However, the matrix interference could significantly affect the analysis. Till now there is no detailed information on the source of the interference and the mechanism involved, which greatly limits the real application of these techniques. RESULTS Significant matrix effect was observed in the enzyme-linked immunosorbent assay (ELISA) of procymidone in negative vegetable samples (leek, broccoli and cucumber). By the investigation with both vegetable extracts and standard solutions, the chlorophyll was confirmed as an important source of the matrix effect. Therefore, a new strategy was proposed for the pretreatment based on the exploitation of 5-sulfosalicylic acid. It was demonstrated to effectively eliminate chlorophyll and exhibited little effect on procymidone and the competitive indirect ELISA (ci-ELISA) performance. The established technique was validated with different vegetables. With the spiking concentration of procymidone investigated, the recovery rate of ci-ELISA was 71.52-120.37%, and the relative standard deviation was 4.05-17.61%. CONCLUSION Chlorophyll was for the first time illuminated as an important source of matrix interference to the immunoassay of procymidone in vegetables. A new pretreatment based on 5-sulfosalicylic acid was established to remove chlorophyll and therefore eliminate the matrix effect. Validated with different vegetable samples, the new technique was demonstrated much better efficiency in comparison to conventional methods, which indicated its promising application for the development of immunoassays of herb-origin samples. © 2021 Society of Chemical Industry.
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Affiliation(s)
- Ziang Zhang
- Food Safety Laboratory, College of Food Science and Engineering, Ocean University of China, Qingdao, China
| | - Hong Lin
- Food Safety Laboratory, College of Food Science and Engineering, Ocean University of China, Qingdao, China
| | - Jianxin Sui
- Food Safety Laboratory, College of Food Science and Engineering, Ocean University of China, Qingdao, China
| | - Xiangning Han
- Food Safety Laboratory, College of Food Science and Engineering, Ocean University of China, Qingdao, China
| | - Luefeng Wang
- Food Safety Laboratory, College of Food Science and Engineering, Ocean University of China, Qingdao, China
| | - Xun Sun
- Food Safety Laboratory, College of Food Science and Engineering, Ocean University of China, Qingdao, China
| | - Limin Cao
- Food Safety Laboratory, College of Food Science and Engineering, Ocean University of China, Qingdao, China
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5
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Qin K, Ding M, Zhang C, Zhang X, Mao Y, Dang M, Li Z, Wang Y, Zhang S, Sun Y, Zhang Z, Zhao G, Li Y, Li Q, Zhang X. Development of a sensitive monoclonal antibody-based immunochromatographic strip for neomycin detection in milk. FOOD AGR IMMUNOL 2022. [DOI: 10.1080/09540105.2022.2070606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Affiliation(s)
- Kemeng Qin
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, Zhengzhou, People’s Republic of China
| | - Mingyue Ding
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, Zhengzhou, People’s Republic of China
| | - Chensi Zhang
- College of Life Sciences, Henan Agricultural University, Zhengzhou, People’s Republic of China
| | - Xijie Zhang
- The Third Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, People’s Republic of China
| | - Yexuan Mao
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, Zhengzhou, People’s Republic of China
| | - Meng Dang
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, Zhengzhou, People’s Republic of China
| | - Zizhe Li
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, Zhengzhou, People’s Republic of China
| | - Youyi Wang
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, Zhengzhou, People’s Republic of China
| | - Shaohui Zhang
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, Zhengzhou, People’s Republic of China
| | - Yuhang Sun
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, Zhengzhou, People’s Republic of China
| | - Zhibin Zhang
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, Zhengzhou, People’s Republic of China
| | - Gaiming Zhao
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, Zhengzhou, People’s Republic of China
| | - Yu Li
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, Zhengzhou, People’s Republic of China
| | - Qian Li
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, Zhengzhou, People’s Republic of China
| | - Xiya Zhang
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, Zhengzhou, People’s Republic of China
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6
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Antibiotic Use in Livestock and Residues in Food-A Public Health Threat: A Review. Foods 2022; 11:foods11101430. [PMID: 35627000 PMCID: PMC9142037 DOI: 10.3390/foods11101430] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 05/09/2022] [Accepted: 05/12/2022] [Indexed: 01/05/2023] Open
Abstract
The usage of antibiotics has been, and remains, a topic of utmost importance; on the one hand, for animal breeders, and on the other hand, for food safety. Although many countries have established strict rules for using antibiotics in animal husbandry for the food industry, their misuse and irregularities in compliance with withdrawal periods are still identified. In addition to animal-origin foods that may cause antibiotic residue problems, more and more non-animal-origin foods with this type of non-compliance are identified. In this context, we aim to summarize the available information regarding the presence of antibiotic residues in food products, obtained in various parts of the world, as well as the impact of consumption of food with antibiotic residues on consumer health. We also aim to present the methods of analysis that are currently used to determine antibiotic residues in food, as well as methods that are characterized by the speed of obtaining results or by the possibility of identifying very small amounts of residues.
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7
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Huang Y, Han X, Yu X, Wang S, Zhai H. Capillary Electrophoresis-Indirect Laser-Induced Fluorescence Detection of Neomycin in Fish. Chromatographia 2021. [DOI: 10.1007/s10337-021-04075-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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8
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Liu M, Sang Y, Zhang J, Li J, Yu W, Zhang F, Wang X. Development of a Broad-Specific Competitive ELISA for First-Generation Cephalosporin Antibiotics in Animal-Derived Foods Samples. BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2021; 107:215-220. [PMID: 32472212 DOI: 10.1007/s00128-020-02885-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 05/19/2020] [Indexed: 06/11/2023]
Abstract
The abuse of antibiotics, such as the cephalosporins in livestock and aquaculture productions, usually causes the widespread antibiotic resistance due to their growth-promoting effects. In this study, cephalexin was chosen as the hapten molecule to prepare a broad-spectrum rabbit polyclonal antibody for cephalosporin antibiotics. The obtained antibody exhibited broad cross-reactivity ranging from 0.05% to 100% with 10 cephalosporins. Based on this antibody, we developed a broad-specific indirect competitive ELISA (ic-ELISA) for cefalexin, cefradine, cefadroxil and cefazolin with the half maximal inhibitory concentration (IC50) ranging from 0.72 to 2.99 ng/mL in working buffer. For animal-derived food samples with spiked cephalosporins, the ic-ELISA exhibited an excellent recovery ranging from 72.3% to 95.6%. To verify the accuracy of this proposed ic-ELISA, its detection performance was evaluated utilizing the high-performance liquid chromatography with satisfactory results. This study confirmed that: firstly, the prepared antibody can be used as a class-specific recognition element to develop immunoassays for cephalosporin antibiotics; and secondly, the developed ic-ELISA provided a new tool for broad-spectrum detection of first-generation cephalosporins in animal-derived foods.
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Affiliation(s)
- Minxuan Liu
- College of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, China
| | - Yaxin Sang
- College of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, China
| | - Jing Zhang
- College of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, China
| | - Jian Li
- College of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, China
| | - Wenlong Yu
- College of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, China
| | - Fuyuan Zhang
- College of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, China
| | - Xianghong Wang
- College of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, China.
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Liu C, Jiang Y, Xiu L, Qian R, Zhao M, Luo P, Ke Y, Li G, Jiang W. Ultratrace Analysis of Neomycin Residues in Milk at Femtogram Levels by Flow-Through Immunoaffinity Chromatography Test. FOOD ANAL METHOD 2021. [DOI: 10.1007/s12161-021-02058-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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10
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Yue F, Li F, Kong Q, Guo Y, Sun X. Recent advances in aptamer-based sensors for aminoglycoside antibiotics detection and their applications. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 762:143129. [PMID: 33121792 DOI: 10.1016/j.scitotenv.2020.143129] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Revised: 10/13/2020] [Accepted: 10/14/2020] [Indexed: 05/25/2023]
Abstract
Aminoglycoside antibiotics (AAs) have been extensively applied in medical field and animal husbandry owing to desirable broad-spectrum antibacterial activity. Excessive AAs residues in the environment can be accumulated in human body through food chain and cause detrimental effect on human health. The establishment of highly specific, simple and sensitive detection methods for monitoring AAs residues is highly in demand. Aptasensor using aptamer as the biological recognition element is the efficient and promising sensing method for detection of AAs. In this review, we have made a summary of specific aptamers sequences against AAs. Subsequently, we provide a systematical and comprehensive overview of modern techniques in aptasensors for detection of AAs according to optical aptasensors as well as electrochemical aptasensors and further summarize their advantages and disadvantages to compare their applications. In addition, we present an overview of practical applications of aptasensors in sample detection of AAs. Moreover, the current challenges and future trends in this field are also included to reveal a promising perspective for developing novel aptasensors for AAs.
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Affiliation(s)
- Fengling Yue
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No.12 Zhangzhou Road, Zibo 255049, Shandong Province, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 12 Zhangzhou Road, Zibo 255049, Shandong Province, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, China
| | - Falan Li
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No.12 Zhangzhou Road, Zibo 255049, Shandong Province, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 12 Zhangzhou Road, Zibo 255049, Shandong Province, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, China
| | - Qianqian Kong
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No.12 Zhangzhou Road, Zibo 255049, Shandong Province, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 12 Zhangzhou Road, Zibo 255049, Shandong Province, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, China
| | - Yemin Guo
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No.12 Zhangzhou Road, Zibo 255049, Shandong Province, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 12 Zhangzhou Road, Zibo 255049, Shandong Province, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, China
| | - Xia Sun
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No.12 Zhangzhou Road, Zibo 255049, Shandong Province, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 12 Zhangzhou Road, Zibo 255049, Shandong Province, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, China.
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11
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Advances in Gold Nanoparticles-Based Colorimetric Aptasensors for the Detection of Antibiotics: An Overview of the Past Decade. NANOMATERIALS 2021; 11:nano11040840. [PMID: 33806173 PMCID: PMC8066193 DOI: 10.3390/nano11040840] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Revised: 03/17/2021] [Accepted: 03/19/2021] [Indexed: 12/17/2022]
Abstract
Misuse of antibiotics has recently been considered a global issue because of its harmful effects on human health. Since conventional methods have numerous limitations, it is necessary to develop fast, simple, sensitive, and reproducible methods for the detection of antibiotics. Among numerous recently developed methods, aptasensors are fascinating because of their good specificity, sensitivity and selectivity. These kinds of biosensors combining aptamer with colorimetric applications of gold nanoparticles to recognize small molecules are becoming more popular owing to their advantageous features, for example, low cost, ease of use, on-site analysis ability using naked eye and no prerequisite for modern equipment. In this review, we have highlighted the recent advances and working principle of gold nanoparticles based colorimetric aptasensors as promising methods for antibiotics detection in different food and environmental samples (2011–2020). Furthermore, possible advantages and disadvantages have also been summarized for these methods. Finally, the recent challenges, outlook, and promising future perspectives for developing novel aptasensors are also considered.
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12
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Yoshikawa N, Yamada A, Yokota T, Moritake H, Hirabara Y, Ikeda R. Measurement of methotrexate in human cerebrospinal fluid using a chemiluminescence immunoassay intended for serum and plasma matrices. J Clin Lab Anal 2020; 35:e23661. [PMID: 33225528 PMCID: PMC7957986 DOI: 10.1002/jcla.23661] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 09/28/2020] [Accepted: 10/21/2020] [Indexed: 01/09/2023] Open
Abstract
Background The concentration of MTX in blood is often measured quickly and easily by immunoassays. Thus, immunoassays may facilitate the easy determination of the concentration of MTX in the cerebrospinal fluid (CSF). In this study, we measured methotrexate (MTX) concentrations in the CSF using a high‐performance liquid chromatography (HPLC) method intended for analyzing CSF matrices and a chemiluminescence immunoassay (CLIA) method intended for assessing serum and plasma matrices and verified the differences in the results of the two methods. Methods HPLC analysis for MTX in the CSF was performed using a Prominence UFLC system with a C18 column. The HPLC method was validated in accordance with the 2018 FDA guideline. The CLIA method was performed using an ARCHITECT i1000SR system intended for serum and plasma matrices. A total of 47 CSF samples (14 clinical and 33 spiked specimens) were analyzed using the two methods. Results The HPLC method passed the validation criteria. The concentration of MTX in the same sample, determined using the HPLC and CLIA methods, differed proportionally; the percent difference in the concentrations averaged −23.0% (95% confidence interval: −36.9% to −9.1%) as revealed by the Bland‐Altman plot. The relationship between the measured values, evaluated using the Passing‐Bablok regression, was as follows: HPLC = 1.205 × CLIA – 0.024. Conclusion The equation deduced in this study can be used to correct the concentration of MTX measured using the CLIA method.
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Affiliation(s)
- Naoki Yoshikawa
- Department of Pharmacy, University of Miyazaki Hospital, Miyazaki, Japan
| | - Ai Yamada
- Division of Pediatrics, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Tsubasa Yokota
- Department of Pharmacy, University of Miyazaki Hospital, Miyazaki, Japan
| | - Hiroshi Moritake
- Division of Pediatrics, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Yasutoshi Hirabara
- Department of Pharmacy, University of Miyazaki Hospital, Miyazaki, Japan
| | - Ryuji Ikeda
- Department of Pharmacy, University of Miyazaki Hospital, Miyazaki, Japan
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14
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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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Saud S, Li G, Kong H, Khan MI, Qiang Z, Sun Y, Liu W, Ding C, Xiao H, Wang Y, Li H, Cao C. Identification of chicken meat quality via rapid array isoelectric focusing with extraction of hemoglobin and myoglobin in meat sample. J Chromatogr B Analyt Technol Biomed Life Sci 2019; 1128:121790. [PMID: 31525721 DOI: 10.1016/j.jchromb.2019.121790] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 08/28/2019] [Accepted: 09/06/2019] [Indexed: 02/07/2023]
Abstract
Isoelectric focusing (IEF) has been used for determination of meat quality with high stability analysis. However, it still suffered from time-consuming, laborious and cost-effective performances, e.g., 3 h protein extraction, more than 10 h rehydration time, 5-12 h focusing time, and imaging of protein band. To overcome these issues, a speedy extraction of colorful proteins was developed by controlling extraction and centrifugation of 0.2g sample within 10 min and 15 min respectively; a rapid analytical method was designed by using a quick array IEF with 25 min rehydration, 7 min focusing, 2 min online scanning and imaging of focused proteins. The total analytical time was well controlled within 1 h, significantly less than the traditional IEF time of 24 h. To demonstrate the proposed method, 18 chickens were classified into three groups, e.g., the normal slaughtering, death treatment underwater, and death with infection via the New castle disease (NDV) virus. The experiments demonstrated that two Mb bands with pI 6.8 and 7.4 were present in slaughtered chickens, while four other bands with pI 6.83, 6.95, 7.09, and 7.13 were observed in abnormal chicken. The additional four proteins bands were identified by western blot (WB) as hemoglobin proteins. Furthermore, array Immobilized pH Gradient (IPG) has high sensitivity (absolute LOD of Mb and Hb were 1.3 ng and 5.5 ng), fair stability (RSD values of 2.32%, 2.27%, and 1.69%) for slaughtered, drowned, NDV-infected chickens for intra-day and (2.94%, 1.66%, and 1.07%) for inter-days, and good recovery (100%, 98.25% and 99.75%). Finally, the developed method could be used for the identification of chicken meat quality with less time and small volume reagents consuming.
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Affiliation(s)
- Shah Saud
- Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Guoqing Li
- Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Hao Kong
- Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Muhammad Idrees Khan
- Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Zhang Qiang
- Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yingjie Sun
- Shanghai Veterinary Research Institute, Chinese Academy of Agriculture Sciences, Shanghai 200241, China
| | - Weiwen Liu
- Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Chan Ding
- Shanghai Veterinary Research Institute, Chinese Academy of Agriculture Sciences, Shanghai 200241, China
| | - Hua Xiao
- School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yuxing Wang
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Honggen Li
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Chengxi Cao
- Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
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16
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Lin L, Wu X, Luo P, Song S, Zheng Q, Kuang H. IC-ELISA and immunochromatographic strip assay based monoclonal antibody for the rapid detection of bisphenol S. FOOD AGR IMMUNOL 2019. [DOI: 10.1080/09540105.2019.1612330] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Affiliation(s)
- Lu Lin
- State Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
| | - Xiaoling Wu
- State Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
| | - Pengjie Luo
- China National Center for Food Safety Risk Assessment, NHC Key Laboratory of Food Safety Risk Assessment, Beijing, People’s Republic of China
| | - Shanshan Song
- State Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
| | | | - Hua Kuang
- State Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
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17
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Liang X, Sheng Y, Yu W, Zhao S, Shan H, Zhang Q, Wang Z. Comparison of Chicken IgY and Mammalian IgG in Three Immunoassays for Detection of Sulfamethazine in Milk. FOOD ANAL METHOD 2018. [DOI: 10.1007/s12161-018-1316-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
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18
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Medyantseva EP, Brusnitsyn DV, Varlamova RM, Maksimov AA, Konovalova OA, Budnikov HC. Surface modification of electrodes by carbon nanotubes and gold and silver nanoparticles in monoaminoxidase biosensors for the determination of some antidepressants. JOURNAL OF ANALYTICAL CHEMISTRY 2017. [DOI: 10.1134/s1061934817040086] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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19
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He J, Wu N, Luo P, Guo P, Qu J, Zhang S, Zou X, Wu F, Xie H, Wang C, Jiang W. Development of a heterologous enzyme-linked immunosorbent assay for the detection of clindamycin and lincomycin residues in edible animal tissues. Meat Sci 2017; 125:137-142. [DOI: 10.1016/j.meatsci.2016.11.024] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2016] [Revised: 11/28/2016] [Accepted: 11/29/2016] [Indexed: 10/20/2022]
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20
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Isanga J, Mukunzi D, Chen Y, Suryoprabowo S, Liu L, Kuang H, Xu C. Development of a monoclonal antibody assay and a lateral flow strip test for the detection of paromomycin residues in food matrices. FOOD AGR IMMUNOL 2017. [DOI: 10.1080/09540105.2016.1272551] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Affiliation(s)
- Joel Isanga
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, People's Republic of China
- Department of Biochemistry, College of Natural Sciences, Makerere University, Kampala, Uganda
| | - Daniel Mukunzi
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, People's Republic of China
| | - Yanni Chen
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, People's Republic of China
| | - Steven Suryoprabowo
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, People's Republic of China
| | - Liqiang Liu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, People's Republic of China
| | - Hua Kuang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, People's Republic of China
| | - Chuanlai Xu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, People's Republic of China
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21
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22
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Mungroo NA, Neethirajan S. Biosensors for the Detection of Antibiotics in Poultry Industry—A Review. BIOSENSORS 2014; 4:472-93. [PMID: 25587435 PMCID: PMC4287714 DOI: 10.3390/bios4040472] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2014] [Revised: 10/27/2014] [Accepted: 11/14/2014] [Indexed: 12/16/2022]
Abstract
Antibiotic resistance is emerging as a potential threat in the next decades. This is a global phenomenon whereby globalization is acting as a catalyst. Presently, the most common techniques used for the detection of antibiotics are biosensors, ELISA and liquid chromatography-mass spectrometry. Each of these techniques has its benefits as well as drawbacks. This review aims to evaluate different biosensing techniques and their working principles in order to accurately, quickly and practically detect antibiotics in chicken muscle and blood serum. The review is divided into three main sections, namely: a biosensors overview, a section on biosensor recognition and a section on biosensor transducing elements. The first segment provides a detailed overview on the different techniques available and their respective advantages and disadvantages. The second section consists of an evaluation of several analyte systems and their mechanisms. The last section of this review studies the working principles of biosensing transducing elements, focusing mainly on surface plasmon resonance (SPR) technology and its applications in industries.
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Affiliation(s)
- Nawfal Adam Mungroo
- BioNano Laboratory, School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada; E-Mail:
| | - Suresh Neethirajan
- BioNano Laboratory, School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada; E-Mail:
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Liang X, Ni H, Beier RC, Dong Y, Li J, Luo X, Zhang S, Shen J, Wang Z. Highly Broad-Specific and Sensitive Enzyme-Linked Immunosorbent Assay for Screening Sulfonamides: Assay Optimization and Application to Milk Samples. FOOD ANAL METHOD 2014. [DOI: 10.1007/s12161-014-9845-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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24
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Burkin M, Galvidis I. Immunochemical detection of apramycin as a contaminant in tissues of edible animals. Food Control 2013. [DOI: 10.1016/j.foodcont.2013.05.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Wang X, Lin H, Sui J, Cao L. The effect of fish matrix on the enzyme-linked immunosorbent assay of antibiotics. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2013; 93:1603-1609. [PMID: 23150496 DOI: 10.1002/jsfa.5931] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2012] [Revised: 08/11/2012] [Accepted: 09/25/2012] [Indexed: 06/01/2023]
Abstract
BACKGROUND The matrix effect is considered to be a problem in the immunoassay of foodstuffs. However, information on the interference from aquatic products, as well as the mechanism involved, is very limited. In this study, using three flatfishes (Scophthalmus maximus, Paralichthys olivaceus and Cymoglossus robustus) as samples, the effect of the fish matrix on the competitive indirect enzyme-linked immunosorbent assay (ci-ELISA) of antibiotic (norfloxacin) residues was investigated. The mechanism of the observed matrix effect is also preliminarily discussed. RESULTS Within the working range of the calibration curves, a significant (P = 0.05) but irregular variation in the inhibition ratio was observed in the presence of fish extracts. Further experiments revealed that such a matrix effect could be caused by some water-soluble fish proteins with a wide range of molecular weight (from below 14.4 kDa to about 116.0 kDa), and the ions from fish muscles may also contribute to the interference. The results of western blotting indicated that some fish protein components might effectively bind with antibody reagents used. CONCLUSION Significant interference in the immunoassay of norfloxacin was observed in the presence of fish matrix. Some proteins and ions were demonstrated to contribute to the matrix effect investigated. Although the detailed mechanism is still unclear, the non-specific interaction between fish proteins and immunoglobulin G (IgG) or horseradish peroxidase (HRP) labelled IgG was assumed to be an important source of the matrix effect in immunoassays.
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Affiliation(s)
- Xiudan Wang
- Food Safety Laboratory, Ocean University of China, Qingdao, 266003, China
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26
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Lian W, Liu S, Yu J, Li J, Cui M, Xu W, Huang J. Electrochemical sensor using neomycin-imprinted film as recognition element based on chitosan-silver nanoparticles/graphene-multiwalled carbon nanotubes composites modified electrode. Biosens Bioelectron 2013; 44:70-6. [PMID: 23395725 DOI: 10.1016/j.bios.2013.01.002] [Citation(s) in RCA: 72] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2012] [Revised: 12/30/2012] [Accepted: 01/02/2013] [Indexed: 02/07/2023]
Abstract
A novel imprinted electrochemical sensor for neomycin recognition was developed based on chitosan-silver nanoparticles (CS-SNP)/graphene-multiwalled carbon nanotubes (GR-MWCNTs) composites decorated gold electrode. Molecularly imprinted polymers (MIPs) were synthesized by electropolymerization using neomycin as the template, and pyrrole as the monomer. The mechanism of the fabrication process and a number of factors affecting the activity of the imprinted sensor have been discussed and optimized. The characterization of imprinted sensor has been carried out by scanning electron microscope (SEM) and Fourier transform infrared spectroscopy (FTIR). The performance of the proposed imprinted sensor has been investigated using cyclic voltammetry (CV) and amperometry. Under the optimized conditions, the linear range of the sensor was from 9×10(-9)mol/L to 7×10(-6)mol/L, with the limit of detection (LOD) of 7.63×10(-9)mol/L (S/N=3). The film exhibited high binding affinity and selectivity towards the template neomycin, as well as good reproducibility and stability. Furthermore, the proposed sensor was applied to determine the neomycin in milk and honey samples based on its good reproducibility and stability, and the acceptable recovery implied its feasibility for practical application.
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Affiliation(s)
- Wenjing Lian
- Key Laboratory of Chemical Sensing & Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, PR China
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27
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Solomun B, Bilandzic N, Varenina I, Scortichini G. Validation of an enzyme-linked immunosorbent assay for qualitative screening of neomycin in muscle, liver, kidney, eggs and milk. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2011; 28:11-8. [PMID: 21082465 DOI: 10.1080/19440049.2010.527376] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
A rapid and sensitive enzyme-linked immunosorbent assay (ELISA) was used for the qualitative screening analysis of neomycin in food of animal origin (muscle, liver, kidney, eggs and milk) at levels corresponding to the European Union maximum residue limit (MRL) set for this substance. The method validation was performed according to the criteria of Commission Decision 2002/657/EC established for qualitative screening methods. In this regard, the following parameters were determined: detection capability (CCβ), specificity, detection limit (LOD), quantification limit (LOQ), recovery, precision, linearity and ruggedness. LODs ranged from 5.7 microg kg(-1) in kidney to 29.3 microg kg(-1) in milk; LOQs ranged from 11.4 microg kg(-1) in kidney to 59.7 microkg(-1) in eggs. The recoveries from spiked samples at the MRL, half the MRL and double the MRL levels ranged from 65.8% to 122.8%, with a coefficient of variation (CV) between 5.9% and 28.6%. The CCβ value was less than the MRL for all examined matrices. Moderate variations of some critical factors in the sample pretreatment for muscle, milk and eggs were deliberately introduced for ruggedness evaluation and had a slight but not statistically significant effect on method performance. The proposed method is suitable for qualitative screening analysis of neomycin in the above-mentioned food in conformity with current European Union performance requirements.
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Affiliation(s)
- B Solomun
- Department of Veterinary Public Health, Laboratory for Residue Control, Croatian Veterinary Institute, Savska cesta 143, HR-10000 Zagreb, Croatia
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28
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Xu X, Sui J, Cao L, Lin H. Direct competitive enzyme-linked immunosorbent assay (ELISA) for rapid screening of anisakid larvae in seafood. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2010; 90:877-881. [PMID: 20355125 DOI: 10.1002/jsfa.3898] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
BACKGROUND Anisakid larvae are one of the most important pathogenic parasites in marine products; however, simple and rapid analytical techniques for them are still very limited. In this research, based on specific rabbit polyclonal antibodies which were raised against crude extracts of Anisakis larvae, purified by protein A affinity chromatography and labeled with horseradish peroxidase, a direct competitive enzyme-linked immunosorbent assay (ELISA) was developed and validated for detection of anisakid larvae in seafood. RESULTS The established method exhibited a broad selectivity to Anisakis larvae and Pseudoterranova larvae, and the lowest detection limit to them was estimated to be about 5 parasites kg(-1) in food matrix. Using Pseudopleuronectes yokohamae, Scomberomorus niphonius and Ommastrephes bartrami as samples and within spiking concentrations from 20 to 100 larvae kg(-1), the determination recovery for Anisakis larvae and Pseudoterranova larvae ranged from 77.8% to 107.0%, with relative standard deviations all less than 20%. CONCLUSION The results allowed us to suggest the established direct competitive ELISA as an effective analytical tool for fast screening of anisakid larvae in sea foods.
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Affiliation(s)
- Xu Xu
- Food Safety Laboratory, Ocean University of China, Qingdao 266003, PR China
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Rebe Raz S, Bremer MGEG, Haasnoot W, Norde W. Label-Free and Multiplex Detection of Antibiotic Residues in Milk Using Imaging Surface Plasmon Resonance-Based Immunosensor. Anal Chem 2009; 81:7743-9. [DOI: 10.1021/ac901230v] [Citation(s) in RCA: 139] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Sabina Rebe Raz
- RIKILT—Institute of Food Safety, Wageningen UR, P.O. Box 230, 6700 AE Wageningen, The Netherlands, Laboratory of Physical Chemistry and Colloid Science, Wageningen University, P.O. Box 8038, 6700 EK Wageningen, The Netherlands, and University Medical Center−Groningen and University of Groningen, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands
| | - Maria G. E. G. Bremer
- RIKILT—Institute of Food Safety, Wageningen UR, P.O. Box 230, 6700 AE Wageningen, The Netherlands, Laboratory of Physical Chemistry and Colloid Science, Wageningen University, P.O. Box 8038, 6700 EK Wageningen, The Netherlands, and University Medical Center−Groningen and University of Groningen, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands
| | - Willem Haasnoot
- RIKILT—Institute of Food Safety, Wageningen UR, P.O. Box 230, 6700 AE Wageningen, The Netherlands, Laboratory of Physical Chemistry and Colloid Science, Wageningen University, P.O. Box 8038, 6700 EK Wageningen, The Netherlands, and University Medical Center−Groningen and University of Groningen, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands
| | - Willem Norde
- RIKILT—Institute of Food Safety, Wageningen UR, P.O. Box 230, 6700 AE Wageningen, The Netherlands, Laboratory of Physical Chemistry and Colloid Science, Wageningen University, P.O. Box 8038, 6700 EK Wageningen, The Netherlands, and University Medical Center−Groningen and University of Groningen, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands
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Chen L, Wang Z, Ferreri M, Su J, Han B. Cephalexin residue detection in milk and beef by ELISA and colloidal gold based one-step strip assay. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2009; 57:4674-4679. [PMID: 19441838 DOI: 10.1021/jf900433d] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
An evaluation of a rapid enzyme-linked immunosorbent assay (ELISA) and colloidal gold based one-step strip assay for cephalexin (CEX) residue detection in milk and beef is described. A monoclonal antibody (mAb) against CEX was produced using cephalexin-bovine serum albumin (CEX-BSA) conjugate as the immunogen, which exhibited no cross-reactivity with applied chemicals in the studied concentration range. The detection limit of rapid ELISA was calculated as 0.39 microg/kg in PBS and 19.5 microg/kg in beef and milk, which was quite lower than the European Union Maximum Residue Limit (MRL) of 100 microg/kg in milk and 200 microg/kg in muscle. Spiked samples were detected with a mean recovery of 82.8-124% and coefficient of variation of 4.88-25%, which indicated a good agreement with the spiked concentration. Accuracy and reproducibility were determined using spiked samples with four different final concentrations of 1, 2, 5, and 10 microg/kg of CEX (n = 7). Mean intra-assay variation of 6.67% and inter-assay variation of 10.66% were obtained. In contrast, the strip test for CEX had a visual detection limit of 0.5 microg/kg, which could be evaluated within 3-10 min. However, positive samples should be further quantified by more sensitive and accurate competitive indirect ELISA method. In conclusion, the described strip test is rapid, simple, and cost-effective as well as sensitive and specific enough for reliable and accurate on-site screening.
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Affiliation(s)
- Liben Chen
- College of Veterinary Medicine, China Agricultural University, Beijing, China
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