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Luo Y, Sun Y, Wei X, He Y, Wang H, Cui Z, Ma J, Liu X, Shu R, Lin H, Xu D. Detection methods for antibiotics in wastewater: a review. Bioprocess Biosyst Eng 2024; 47:1433-1451. [PMID: 38907838 DOI: 10.1007/s00449-024-03033-0] [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: 12/10/2023] [Accepted: 05/09/2024] [Indexed: 06/24/2024]
Abstract
Antibiotics are widely used as fungicides because of their antibacterial and bactericidal effects. However, it is necessary to control their dosage. If the amount of antbiotics is too much, it cannot be completely metabolized and absorbed, will pollute the environment, and have a great impact on human health. Many antibiotics usually left in factory or aquaculture wastewater pollute the environment, so it is vital to detect the content of antibiotics in wastewater. This article summarizes several common methods of antibiotic detection and pretreatment steps. The detection methods of antibiotics in wastewater mainly include immunoassay, instrumental analysis method, and sensor. Studies have shown that immunoassay can detect deficient concentrations of antibiotics, but it is affected by external factors leading to errors. The detection speed of the instrumental analysis method is fast, but the repeatability is poor, the price is high, and the operation is complicated. The sensor is a method that is currently increasingly studied, including electrochemical sensors, optical sensors, biosensors, photoelectrochemical sensors, and surface plasmon resonance sensors. It has the advantages of fast detection speed, high accuracy, and strong sensitivity. However, the reproducibility and stability of the sensor are poor. At present, there is no method that can comprehensively integrate the advantages. This paper aims to review the enrichment and detection methods of antibiotics in wastewater from 2020 to the present. It also aims to provide some ideas for future research directions in this field.
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Affiliation(s)
- Yuting Luo
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, People's Republic of China
| | - Yiwei Sun
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, People's Republic of China
| | - Xiuxia Wei
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, People's Republic of China
| | - Yuyang He
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, People's Republic of China
| | - Haoxiang Wang
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, People's Republic of China
| | - Zewen Cui
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, People's Republic of China
| | - Jiaqi Ma
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, People's Republic of China
| | - Xingcai Liu
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, People's Republic of China
| | - Ruxin Shu
- Shanghai Tobacco Group Co. Ltd., Shanghai, 200082, People's Republic of China
| | - Huaqing Lin
- Shanghai Tobacco Group Co. Ltd., Shanghai, 200082, People's Republic of China
| | - Dongpo Xu
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, People's Republic of China.
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Wu Q, Niu M, Zhou C, Wang Y, Xu J, Shi L, Xiong H, Feng N. Formation and detection of biocoronas in the food industry and their fate in the human body. Food Res Int 2023; 174:113566. [PMID: 37986519 DOI: 10.1016/j.foodres.2023.113566] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 10/05/2023] [Accepted: 10/09/2023] [Indexed: 11/22/2023]
Abstract
The rapid advancement of nanotechnology has opened up new avenues for applications in all stages of the food industry. Over the past decade, extensive research has emphasized that when nanoparticles (NPs) enter organisms, they spontaneously adsorbed biomolecules, leading to the formation of biocorona. This paper provided a detailed review of the process of biocorona formation in the food industry, including their classification and influencing factors. Additionally, various characterization methods to investigated the morphology and structure of biocoronas were introduced. As a real state of food industry nanoparticles in biological environments, the biocorona causes structural transformations of biomolecules bound to NPs, thus affecting their fate in the body. It can either promote or inhibit enzyme activity in the human environment, and may also positively or negatively affect the cellular uptake and toxicity of NPs. Since NPs present in the food industry will inevitably enter the human body, further investigations on biocoronas will offer valuable insights and perspectives on the safety of incorporating more NPs into the food industry.
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Affiliation(s)
- Qian Wu
- Hubei Key Laboratory of Industrial Microbiology, Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Hubei University of Technology, Wuhan, Hubei 430068, China.
| | - Mengyao Niu
- Hubei Key Laboratory of Industrial Microbiology, Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Hubei University of Technology, Wuhan, Hubei 430068, China
| | - Chen Zhou
- Hubei Key Laboratory of Industrial Microbiology, Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Hubei University of Technology, Wuhan, Hubei 430068, China
| | - Yaxiong Wang
- Hubei Key Laboratory of Industrial Microbiology, Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Hubei University of Technology, Wuhan, Hubei 430068, China
| | - Jianhua Xu
- Pinyuan (Suizhou) Modern Agriculture Development Co., LTD., Suizhou, Hubei 441300, China
| | - Lin Shi
- Wuhan Caidian District Public Inspection and Testing Center, Wuhan, Hubei 430100, China
| | - He Xiong
- Wuhan Caidian District Public Inspection and Testing Center, Wuhan, Hubei 430100, China
| | - Nianjie Feng
- Hubei Key Laboratory of Industrial Microbiology, Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Hubei University of Technology, Wuhan, Hubei 430068, China.
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Xue G, Wu M, Liu T, Fang X, Yin J, Lai W, Peng J. A multiple lateral flow immunoassay based on AuNP for the detection of 5 chemical contaminants in milk. J Dairy Sci 2023; 106:3856-3867. [PMID: 37164860 DOI: 10.3168/jds.2022-23008] [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: 11/09/2022] [Accepted: 01/04/2023] [Indexed: 05/12/2023]
Abstract
Melamine (MEL), enrofloxacin (ENR), sulfamethazine (SMZ), tetracycline (TC), and aflatoxin M1 (AFM1) are the main chemical contaminants in milk. It is necessary to detect these miscellaneous chemical contaminants in milk synchronously to ensure the safety of the milk. In this study, a multiple lateral flow immunoassay (LFIA) was developed for the detection of MEL, ENR, SMZ, TC, and AFM1 in milk. Under optimal experimental conditions, the cutoff values were 25 ng/mL for MEL, 1 ng/mL for ENR, 2.5 ng/mL for SMZ, 2.5 ng/mL for TC, and 0.25 ng/mL for AFM1 in milk samples. The limits of detection of LFIA were 0.173 ng/mL for MEL, 0.078 ng/mL for ENR, 0.059 ng/mL for SMZ, 0.082 ng/mL for TC, and 0.0064 ng/mL for AFM1. The recovery rates of LFIA in milk were 83.2-104.4% for MEL, 76.5-127.3% for ENR, 96.8-113.5% for SMZ, 107.1-166.6% for TC, and 93.5-130.3% for AFM1. The coefficients of variation were all less than 15%. As a whole, the developed multiple lateral flow immunoassay showed potential as a highly reliable and excellent tool for the rapid and sensitive screening of MEL, ENR, SMZ, TC, and AFM1 in milk.
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Affiliation(s)
- Guangjian Xue
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China
| | - Mengyun Wu
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China
| | - Tingting Liu
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China
| | - Xuechen Fang
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China
| | - Jiaqi Yin
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China
| | - Weihua Lai
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China
| | - Juan Peng
- School of Food Science, Nanchang University, Nanchang 330047, China.
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Gumus E, Bingol H, Zor E. Lateral flow assays for detection of disease biomarkers. J Pharm Biomed Anal 2023; 225:115206. [PMID: 36586382 DOI: 10.1016/j.jpba.2022.115206] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/06/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022]
Abstract
Early diagnosis saves lives in many diseases. In this sense, monitoring of biomarkers is crucial for the diagnosis of diseases. Lateral flow assays (LFAs) have attracted great attention among paper-based point-of-care testing (POCT) due to their low cost, user-friendliness, and time-saving advantages. Developments in the field of health have led to an increase of interest in these rapid tests. LFAs are used in the diagnosis and monitoring of many diseases, thanks to biomarkers that can be observed in body fluids. This review covers the recent advances dealing with the design and strategies for the development of LFA for the detection of biomarkers used in clinical applications in the last 5 years. We focus on various strategies such as choosing the nanoparticle type, single or multiple test approaches, and equipment for signal transducing for the detection of the most common biomarkers in different diseases such as cancer, cardiovascular, infectious, and others including Parkinson's and Alzheimer's diseases. We expect that this study will contribute to the different approaches in LFA and pave the way for other clinical applications.
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Affiliation(s)
- Eda Gumus
- Biomaterials and Biotechnology Laboratory, Science and Technology Research and Application Center (BITAM), Necmettin Erbakan University, 42140 Konya, Turkey
| | - Haluk Bingol
- Biomaterials and Biotechnology Laboratory, Science and Technology Research and Application Center (BITAM), Necmettin Erbakan University, 42140 Konya, Turkey; Department of Chemistry Education, A.K. Education Faculty, Necmettin Erbakan University, 42090 Konya, Turkey
| | - Erhan Zor
- Biomaterials and Biotechnology Laboratory, Science and Technology Research and Application Center (BITAM), Necmettin Erbakan University, 42140 Konya, Turkey; Department of Science Education, A.K. Education Faculty, Necmettin Erbakan University, 42090 Konya, Turkey.
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Simultaneous Determination of Nine Quinolones in Pure Milk Using PFSPE-HPLC-MS/MS with PS-PAN Nanofibers as a Sorbent. Foods 2022; 11:foods11131843. [PMID: 35804659 PMCID: PMC9265461 DOI: 10.3390/foods11131843] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 06/11/2022] [Accepted: 06/16/2022] [Indexed: 12/10/2022] Open
Abstract
In this study, a packed-fiber solid-phase extraction (PFSPE)-based method was developed to simultaneously detect nine quinolones, including enrofloxacin (ENR), ciprofloxacin (CIP), ofloxacin (OFL), pefloxacin (PEF), lomefloxacin (LOM), norfloxacin (NOR), sarafloxacin (SAR), danofloxacin (DAN), and difloxacin (DIF), in pure milk, using high-performance liquid chromatography coupled with tandem mass spectrometry (HPLC-MS/MS). Polystyrene (PS) and polyacrylonitrile (PAN) were combined to form PS-PAN composite nanofibers through electrospinning. The nanofibers were used to prepare the home-made extraction columns, and the process was optimized and validated using blank pure milk. The analytical method showed high accuracy, and the recoveries were 88.68–97.63%. Intra-day and inter-day relative standard deviations were in the ranges of 1.11–6.77% and 2.26–7.17%, respectively. In addition, the developed method showed good linearity (R2 ≥ 0.995) and low method quantification limits for the nine quinolones (between 1.0–100 ng/mL) for all samples studied. The nine quinolones in the complex matrix were directly extracted using 4.0 mg of PS-PAN composite nanofibers as a sorbent and completely eluted in 100 μL elution solvent. Therefore, the developed PFSPE-HPLC-MS/MS is a sensitive and cost-effective technique that can effectively detect and control nine quinolones in dairy products.
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Belenguer-Sapiña C, Pellicer-Castell E, El Haskouri J, Simó-Alfonso EF, Amorós P, Mauri-Aucejo AR. A type UVM-7 mesoporous silica with γ-cyclodextrin for the isolation of three veterinary antibiotics (ofloxacin, norfloxacin, and ciprofloxacin) from different fat-rate milk samples. J Food Compost Anal 2022. [DOI: 10.1016/j.jfca.2022.104463] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
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