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Liu H, Cao T, Chen H, Zhang J, Li W, Zhang Y, Liu H. Two-color lateral flow nucleic acid assay combined with double-tailed recombinase polymerase amplification for simultaneous detection of chicken and duck adulteration in mutton. J Food Compost Anal 2023. [DOI: 10.1016/j.jfca.2023.105209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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Yan S, Lan H, Wu Z, Sun Y, Tu M, Pan D. Cleavable molecular beacon-based loop-mediated isothermal amplification assay for the detection of adulterated chicken in meat. Anal Bioanal Chem 2022; 414:8081-8091. [PMID: 36152037 DOI: 10.1007/s00216-022-04342-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 09/08/2022] [Accepted: 09/09/2022] [Indexed: 11/30/2022]
Abstract
A simple, sensitive, specific and fast method based on the loop-mediated isothermal amplification (LAMP) technique and cleavable molecular beacon (CMB) was developed for chicken authentication detection. LAMP and CMB were used for DNA amplification and amplicon analysis, respectively. Targeting the mitochondrial cytochrome b gene of chickens, five primers and one CMB probe were designed, and their specificity was validated against nine other animal species. The structure of CMB and concentrations of dNTPs, MgSO4, betaine, RNase H2, primers and CMB were optimized. The CMB-LAMP assay was completed within 17 min, and its limit of detection for chicken DNA was 1.5 pg μL-1. Chicken adulteration as low as 0.5% was detected in beef, and no cross-reactivity was observed. Finally, this assay was successfully applied to 20 commercial meat products. When combined with our developed DNA extraction method (the extraction time was 1 min: lysis for 10 s, washing for 20 s and elution for 30 s), the entire process (from DNA extraction to results analysis) was able to be completed within 20 min, which is at least 10 min shorter than other LAMP-based methods. Our method showed great potential for the on-site detection of chicken adulteration in meat.
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Affiliation(s)
- Song Yan
- State Key Laboratory for Quality and Safety of Agro-products, Ningbo University, Ningbo, 315211, China.,Key Laboratory of Animal Protein Deep Processing Technology of Zhejiang Province and College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo, 315800, China
| | - Hangzhen Lan
- State Key Laboratory for Quality and Safety of Agro-products, Ningbo University, Ningbo, 315211, China. .,Key Laboratory of Animal Protein Deep Processing Technology of Zhejiang Province and College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo, 315800, China.
| | - Zhen Wu
- State Key Laboratory for Quality and Safety of Agro-products, Ningbo University, Ningbo, 315211, China.,Key Laboratory of Animal Protein Deep Processing Technology of Zhejiang Province and College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo, 315800, China
| | - Yangying Sun
- State Key Laboratory for Quality and Safety of Agro-products, Ningbo University, Ningbo, 315211, China.,Key Laboratory of Animal Protein Deep Processing Technology of Zhejiang Province and College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo, 315800, China
| | - Maolin Tu
- State Key Laboratory for Quality and Safety of Agro-products, Ningbo University, Ningbo, 315211, China.,Key Laboratory of Animal Protein Deep Processing Technology of Zhejiang Province and College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo, 315800, China
| | - Daodong Pan
- State Key Laboratory for Quality and Safety of Agro-products, Ningbo University, Ningbo, 315211, China. .,Key Laboratory of Animal Protein Deep Processing Technology of Zhejiang Province and College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo, 315800, China. .,National R&D Center for Freshwater Fish Processing, Jiangxi Normal University, Nanchang, 330022, Jiangxi, China.
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Hu X, Xu H, Zhang Y, Lu X, Yang Q, Zhang W. Saltatory rolling circle amplification (SRCA) for sensitive visual detection of horsemeat adulteration in beef products. Eur Food Res Technol 2021. [DOI: 10.1007/s00217-021-03720-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Xia G, Wang J, Liu Z, Bai L, Ma L. Effect of sample volume on the sensitivity of lateral flow assays through computational modeling. Anal Biochem 2021; 619:114130. [PMID: 33600781 DOI: 10.1016/j.ab.2021.114130] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Revised: 01/17/2021] [Accepted: 02/03/2021] [Indexed: 12/13/2022]
Abstract
Lateral flow assays (LFAs) are extensively used in qualitative detection because of their convenience, low cost, fast results, and ease of operation. However, the sample volume used in a lateral flow assay is usually determined experimentally. We test and find that the flow velocity is influenced by sample volume, using fluorescent microspheres as label particles, when analyte concentration is fixed in a sandwich LFA. A model is developed based on mass-action kinetics and advection-diffusion-reaction equation, combing the conjugate pad and nitrocellulose membrane. The model shows predictions from 10 to 120 μL, and predicts accurately the experimental results from 50 to 120 μL where the fluid can flow to the test line. Over all, the model can provide predictions over a wide range of sample volumes for sensitivity analysis. On the basis of the model, the sensitivity of the LFA can be improved according to the sample volume added in the experiment.
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Affiliation(s)
- Guo Xia
- Academy of Opto-electric Technology, Hefei University of Technology, Special Display and Imaging Technology Innovation Center of Anhui Province, State Key Laboratory of Advanced Display Technology, 193 Tunxi Road, Hefei, 230009, China.
| | - Jiangtao Wang
- Academy of Opto-electric Technology, Hefei University of Technology, Special Display and Imaging Technology Innovation Center of Anhui Province, State Key Laboratory of Advanced Display Technology, 193 Tunxi Road, Hefei, 230009, China
| | - Zhijian Liu
- School of Instrument Science and Opto-electronic Engineering, Hefei University of Technology, 193 Tunxi Road, Hefei, 230009, China
| | - Lihao Bai
- Academy of Opto-electric Technology, Hefei University of Technology, Special Display and Imaging Technology Innovation Center of Anhui Province, State Key Laboratory of Advanced Display Technology, 193 Tunxi Road, Hefei, 230009, China
| | - Long Ma
- Academy of Opto-electric Technology, Hefei University of Technology, Special Display and Imaging Technology Innovation Center of Anhui Province, State Key Laboratory of Advanced Display Technology, 193 Tunxi Road, Hefei, 230009, China
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Kumar Y, Narsaiah K. Rapid point-of-care testing methods/devices for meat species identification: A review. Compr Rev Food Sci Food Saf 2020; 20:900-923. [PMID: 33443804 DOI: 10.1111/1541-4337.12674] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 08/30/2020] [Accepted: 10/25/2020] [Indexed: 12/15/2022]
Abstract
The authentication of animal species is an important issue due to an increasing trend of adulteration and mislabeling of animal species in processed meat products. Polymerase chain reaction is the most sensitive and specific technique for nucleic acid-based animal species detection. However, it is a time-consuming technique that requires costly thermocyclers and sophisticated labs. In recent times, there is a need of on-site detection by point-of-care (POC) testing methods and devices under low-resource settings. These POC devices must be affordable, sensitive, specific, user-friendly, rapid and robust, equipment free, and delivered to the end users. POC devices should also confirm the concept of micro total analysis system. This review discusses POC testing methods and devices that have been developed for meat species identification. Recent developments in lateral flow assay-based devices for the identification of animal species in meat products are also reviewed. Advancements in increasing the efficiency of lateral flow detection are also discussed.
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Affiliation(s)
- Yogesh Kumar
- Department of Agricultural Structures and Environmental Control, ICAR-Central Institute of Post-Harvest Engineering and Technology (CIPHET), Ludhiana, India
| | - Kairam Narsaiah
- Department of Agricultural Structures and Environmental Control, ICAR-Central Institute of Post-Harvest Engineering and Technology (CIPHET), Ludhiana, India
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Abstract
In recent years, advances in immunosensor device fabrication have significantly expanded the use of this technology in a broad range of applications including clinical diagnosis, food analysis, quality control, environmental studies and industrial monitoring. The most important aspect in fabrication is to obtain a design that provides a low detection limit. The utilization of nanomaterials as a label, catalyst and biosensing transducer is, perhaps, the most popular approach in ultrasensitive devices. This chapter reviews recent advances in immunosensor fabrication and summarizes the most recent studies. Strategies employed to significantly improve sensitivity and specificity of immunosensor technology and the advantages and limitations thereof are explored.
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Affiliation(s)
- Muhammet Aydin
- Tekirdağ Namık Kemal University, Scientific and Technological Research Center, Tekirdağ, Turkey.
| | - Elif Burcu Aydin
- Tekirdağ Namık Kemal University, Scientific and Technological Research Center, Tekirdağ, Turkey
| | - Mustafa Kemal Sezgintürk
- Bioengineering Department, Faculty of Engineering, Çanakkale Onsekiz Mart University, Çanakkale, Turkey
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