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Fang B, Liu X, Peng J, Li Y, Gong Z, Lai W. Dramatic fluorescence enhancement of PCN-224 and its application in "turn off" immunoassay for sensitive detection of E. coli O157:H7 in milk. Food Chem 2024; 445:138749. [PMID: 38368699 DOI: 10.1016/j.foodchem.2024.138749] [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: 11/21/2023] [Revised: 01/15/2024] [Accepted: 02/11/2024] [Indexed: 02/20/2024]
Abstract
In this study, a type of luminescent porous coordination network-224 (PCN-224) in alkaline conditions was synthesized with the dramatic fluorescence enhancement by 20.4 times, which was explained by the fact that the decrease of Zr4+ content in alkaline conditions resulted in the partial recovery of the electron cloud density of 4,4',4'',4'''-(Porphine-5,10,15,20-tetrayl) tetrakis(benzoic acid) (TCPP). Given the large overlap between the excitation spectrum of PCN-224 and the absorption band of Ag nanoparticles (Ag NPs), the coating of the Ag layer on PCN-224 triggered the fluorescence quenching effect, which was applied to "turn off" fluorescence immunoassay for sensitive detection of Escherichia coli O157:H7 (E. coli O157:H7) in milk. The proposed immunoassay reached a low limit of detection (LOD) of 3.3 × 102 CFU mL-1, 29.7 times more sensitive than the conventional ELISA. It will provide a novel alternative strategy for sensitively detecting pathogenic bacteria in the field of food safety.
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Affiliation(s)
- Bolong Fang
- College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China; Key Laboratory for Deep Processing of Major Grain and Oil, Ministry of Education, Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Wuhan Polytechnic University, Wuhan 430023, China.
| | - Xin Liu
- College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China; Key Laboratory for Deep Processing of Major Grain and Oil, Ministry of Education, Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Wuhan Polytechnic University, Wuhan 430023, China
| | - Juan Peng
- State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Nanchang University, Nanchang 330047, China
| | - Yuzhi Li
- College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China; Key Laboratory for Deep Processing of Major Grain and Oil, Ministry of Education, Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Wuhan Polytechnic University, Wuhan 430023, China; Key Laboratory of Detection Technology of Focus Chemical Hazards in Animal-derived Food for State Market Regulation, Wuhan 430075, China
| | - Zhiyong Gong
- College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China; Key Laboratory for Deep Processing of Major Grain and Oil, Ministry of Education, Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Wuhan Polytechnic University, Wuhan 430023, China
| | - Weihua Lai
- State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Nanchang University, Nanchang 330047, China
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Pan Y, Liu J, Wang J, Gao Y, Ma N. Application of Biosensors and Biomimetic Sensors in Dairy Products Testing. J Dairy Sci 2024:S0022-0302(24)00894-4. [PMID: 38851568 DOI: 10.3168/jds.2024-24666] [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: 01/10/2024] [Accepted: 05/07/2024] [Indexed: 06/10/2024]
Abstract
This article summarizes the applications of biosensors and biomimetic sensors in the detection of residues in dairy products. Biosensors utilize biological molecules such as enzymes or antibodies to detect residual substances in dairy products, demonstrating high specificity and sensitivity. Biomimetic sensors, inspired by biosensors, use synthetic materials to mimic biological sensing mechanisms, enhancing stability and reproducibility. Both sensor types have achieved significant success in detecting pesticide residues, veterinary drugs, bacteria, and other contaminants in dairy products. The applications of biological and biomimetic sensors not only improve the efficiency of residue detection in dairy products but also have the potential to reduce the time and cost of traditional methods. Their specificity and high sensitivity make them powerful tools in the dairy industry, thus contributing to ensuring the quality and safety of dairy products and meeting the growing consumer demands for health and food safety.
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Affiliation(s)
- Yinchuan Pan
- College of Veterinary Medicine, Veterinary Biological Technology Innovation Center of Hebei Province, Hebei Agricultural University, Baoding 071001, Hebei, P.R. China.; State Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing, 100193, P.R. China
| | - Jing Liu
- College of Veterinary Medicine, Veterinary Biological Technology Innovation Center of Hebei Province, Hebei Agricultural University, Baoding 071001, Hebei, P.R. China
| | - Jianping Wang
- College of Veterinary Medicine, Veterinary Biological Technology Innovation Center of Hebei Province, Hebei Agricultural University, Baoding 071001, Hebei, P.R. China
| | - Yanxia Gao
- College of Animal Science and Technology, Hebei Agricultural University, Baoding 071001, Hebei, P.R. China; Key Laboratory of Healthy Breeding in Dairy Cattle (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Baoding 071001, Hebei, P.R. China.
| | - Ning Ma
- College of Veterinary Medicine, Veterinary Biological Technology Innovation Center of Hebei Province, Hebei Agricultural University, Baoding 071001, Hebei, P.R. China.; Key Laboratory of Healthy Breeding in Dairy Cattle (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Baoding 071001, Hebei, P.R. China.
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Jing X, Yu S, Zhang G, Tang Y, Yin J, Peng J, Lai W. Sensitive fluorescence ELISA for the detection of zearalenone based on self-assembly DNA nanocomposites and copper nanoclusters. Anal Bioanal Chem 2024; 416:983-992. [PMID: 38127274 DOI: 10.1007/s00216-023-05088-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 11/26/2023] [Accepted: 11/30/2023] [Indexed: 12/23/2023]
Abstract
Zearalenone (ZEN), produced by Fusarium species, is a potential risk to human health. Traditional enzyme-linked immunosorbent assay (ELISA) is restricted due to low sensitivity for the detection of ZEN. Herein, enzyme nanocomposites (ALP-SA-Bio-ssDNA, ASBD) were prepared with the self-assembly strategy based on streptavidin-labeled alkaline phosphatase (SA-ALP) and dual-biotinylated ssDNA (B2-ssDNA). The enzyme nanocomposites improved the loading amount of ALP and catalyzed more ascorbic acid 2-phosphate to generate ascorbic acid (AA). Subsequently, Cu2+ could be reduced to copper nanoclusters (CuNCs) having strong fluorescence signal by AA with poly T. Benefiting from the high enzyme load of nanocomposites and the strong signal of CuNCs, the fluorescence ELISA was successfully established for the detection of ZEN. The proposed method exhibited lower limit of detection (0.26 ng mL-1) than traditional ELISA (1.55 ng mL-1). The recovery rates ranged from 92.00% to 108.38% (coefficient of variation < 9.50%) for the detection of zearalenone in corn and wheat samples. In addition, the proposed method exhibited no cross reaction with four other mycotoxins. This proposed method could be used in trace detection for food safety.
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Affiliation(s)
- Xudong Jing
- State Key Laboratory of Food Science and Resources, Nanchang University, 235, East Nanjing Road, Nanchang, 330047, China
| | - Sha Yu
- State Key Laboratory of Food Science and Resources, Nanchang University, 235, East Nanjing Road, Nanchang, 330047, China
| | - Ganggang Zhang
- Institute of Microbiology, Jiangxi Academy of Sciences, Nanchang, 330096, China.
| | - Yanyan Tang
- State Key Laboratory of Food Science and Resources, Nanchang University, 235, East Nanjing Road, Nanchang, 330047, China
| | - Jiaqi Yin
- State Key Laboratory of Food Science and Resources, Nanchang University, 235, East Nanjing Road, Nanchang, 330047, China
| | - Juan Peng
- State Key Laboratory of Food Science and Resources, Nanchang University, 235, East Nanjing Road, Nanchang, 330047, China
| | - Weihua Lai
- State Key Laboratory of Food Science and Resources, Nanchang University, 235, East Nanjing Road, Nanchang, 330047, China.
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Liu L, Chang Y, Lou J, Zhang S, Yi X. Overview on the Development of Alkaline-Phosphatase-Linked Optical Immunoassays. Molecules 2023; 28:6565. [PMID: 37764341 PMCID: PMC10536125 DOI: 10.3390/molecules28186565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 09/05/2023] [Accepted: 09/07/2023] [Indexed: 09/29/2023] Open
Abstract
The drive to achieve ultrasensitive target detection with exceptional efficiency and accuracy requires the advancement of immunoassays. Optical immunoassays have demonstrated significant potential in clinical diagnosis, food safety, environmental protection, and other fields. Through the innovative and feasible combination of enzyme catalysis and optical immunoassays, notable progress has been made in enhancing analytical performances. Among the kinds of reporter enzymes, alkaline phosphatase (ALP) stands out due to its high catalytic activity, elevated turnover number, and broad substrate specificity, rendering it an excellent candidate for the development of various immunoassays. This review provides a systematic evaluation of the advancements in optical immunoassays by employing ALP as the signal label, encompassing fluorescence, colorimetry, chemiluminescence, and surface-enhanced Raman scattering. Particular emphasis is placed on the fundamental signal amplification strategies employed in ALP-linked immunoassays. Furthermore, this work briefly discusses the proposed solutions and challenges that need to be addressed to further enhance the performances of ALP-linked immunoassays.
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Affiliation(s)
- Lin Liu
- College of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China
| | - Yong Chang
- College of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China
| | - Jiaxin Lou
- College of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China
| | - Shuo Zhang
- College of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China
| | - Xinyao Yi
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China
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Jing X, Shan S, Xing K, Cao W, Xiao X, Liu D, Lai W. Sensitive fluorescence ELISA with streptavidin scaffolded DNA tetrads for the detection of Escherichia coli O157:H7. J Dairy Sci 2023; 106:5930-5939. [PMID: 37474367 DOI: 10.3168/jds.2022-23015] [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: 11/10/2022] [Accepted: 02/28/2023] [Indexed: 07/22/2023]
Abstract
Escherichia coli O157:H7 poses a threat to humans. Traditional ELISA is not a sensitive method for the detection of E. coli O157:H7. Here, an efficient method was designed for improving the load capacity of alkaline phosphatase (ALP) with streptavidin scaffolded DNA tetrad (SS-DNAt). With more ALP, more ascorbic acid 2-phosphate was catalyzed to ascorbic acid that was used to synthesize fluorescence poly adenine-thymine-templated copper nanoclusters. Based on SS-DNAt, fluorescence ELISA was successfully proposed for improving the sensitivity for detection of E. coli O157:H7 in milk samples. The method showed a linear range of 104 to 106 cfu/mL. The limit of detection of fluorescence ELISA was 3.75 × 103 cfu/mL and 6.16-fold better than that of traditional ELISA. The recovery of the fluorescence ELISA was 86.7 to 93.6% with the coefficient of variation of 5.6 to 10.5% in milk. This method could be used to detect hazardous material in food.
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Affiliation(s)
- Xudong Jing
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China
| | - Shan Shan
- College of Life Science, National R&D Center for Freshwater Fish Processing, Jiangxi Normal University, Nanchang 330022, China; Jiangxi Province Key Laboratory of Diagnosing and Tracing of Foodborne Disease, Jiangxi Province Center for Disease Control and Prevention, Nanchang 330029, China
| | - Keyu Xing
- School of Food Science and Bioengineering, Changsha University of Science and Technology, Changsha 410114, China
| | - Wenkai Cao
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China
| | - Xiaoyue Xiao
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China
| | - Daofeng Liu
- Jiangxi Province Key Laboratory of Diagnosing and Tracing of Foodborne Disease, Jiangxi Province Center for Disease Control and Prevention, Nanchang 330029, China.
| | - Weihua Lai
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China.
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Mahmood Khan I, Niazi S, Akhtar W, Yue L, Pasha I, Khan MKI, Mohsin A, Waheed Iqbal M, Zhang Y, Wang Z. Surface functionalized AuNCs optical biosensor as an emerging food safety indicator: Fundamental mechanism to future prospects. Coord Chem Rev 2023. [DOI: 10.1016/j.ccr.2022.214842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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Bai Z, Xu X, Wang C, Wang T, Sun C, Liu S, Li D. A Comprehensive Review of Detection Methods for Escherichia coli O157:H7. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116646] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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