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Jafar S, Waheed F, Anjum KM, Shehzad W, Imran M. A Low-Cost Closed-Tube Method for Detection of Adulteration in Ground Meat. FOOD BIOTECHNOL 2023. [DOI: 10.1080/08905436.2022.2163250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Affiliation(s)
- Sana Jafar
- Molecular Diagnostics Laboratory, Institute of Biochemistry and Biotechnology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Fadia Waheed
- Molecular Diagnostics Laboratory, Institute of Biochemistry and Biotechnology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Khalid Mahmood Anjum
- Department of Wildlife and Ecology, University of Veterinary and Animal Sciences, Ravi Campus, Pattoki, Pakistan
| | - Wasim Shehzad
- Molecular Diagnostics Laboratory, Institute of Biochemistry and Biotechnology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Muhammad Imran
- Molecular Diagnostics Laboratory, Institute of Biochemistry and Biotechnology, University of Veterinary and Animal Sciences, Lahore, Pakistan
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Köppel R, Lederman R, van Velsen F, Ganeshan A. Detection of animal DNA in vegan food by multiplex qPCR system. Eur Food Res Technol 2020. [DOI: 10.1007/s00217-020-03608-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Zia Q, Alawami M, Mokhtar NFK, Nhari RMHR, Hanish I. Current analytical methods for porcine identification in meat and meat products. Food Chem 2020; 324:126664. [PMID: 32380410 DOI: 10.1016/j.foodchem.2020.126664] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 03/20/2020] [Accepted: 03/20/2020] [Indexed: 12/21/2022]
Abstract
Authentication of meat products is critical in the food industry. Meat adulteration may lead to religious apprehensions, financial gain and food-toxicities such as meat allergies. Thus, empirical validation of the quality and constituents of meat is paramount. Various analytical methods often based on protein or DNA measurements are utilized to identify meat species. Protein-based methods, including electrophoretic and immunological techniques, are at times unsuitable for discriminating closely related species. Most of these methods have been replaced by more accurate and sensitive detection methods, such as DNA-based techniques. Emerging technologies like DNA barcoding and mass spectrometry are still in their infancy when it comes to their utilization in meat detection. Gold nanobiosensors have shown some promise in this regard. However, its applicability in small scale industries is distant. This article comprehensively reviews the recent developments in the field of analytical methods used for porcine identification.
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Affiliation(s)
- Qamar Zia
- A New Mind, Ash Shati, Al Qatif 32617-3732, Saudi Arabia.
| | - Mohammad Alawami
- A New Mind, Ash Shati, Al Qatif 32617-3732, Saudi Arabia; Depaartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom
| | | | | | - Irwan Hanish
- Halal Product Research Institute, Universiti Putra Malaysia, UPM Serdang, Selangor 43400, Malaysia; Department of Microbiology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, UPM Serdang, Selangor 43400, Malaysia
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Meat Species Identification: Amplification Refractory Mutation System-Polymerase Chain Reaction–Based Assay. FOOD ANAL METHOD 2019. [DOI: 10.1007/s12161-019-01640-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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WANG L, HANG X, GENG R. Molecular detection of adulteration in commercial buffalo meat products by multiplex PCR assay. FOOD SCIENCE AND TECHNOLOGY 2019. [DOI: 10.1590/fst.28717] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Hassan AAM, Balabel EA, Oraby HAS, Darwish SA. Buffalo species identification and delineation using genetic barcoding markers. J Genet Eng Biotechnol 2018; 16:499-505. [PMID: 30733766 PMCID: PMC6353766 DOI: 10.1016/j.jgeb.2018.07.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2018] [Accepted: 07/24/2018] [Indexed: 11/29/2022]
Abstract
Enrichment of barcode databases with mitochondrial cytochrome c oxidase subunit I (COI) barcode sequences in different animal taxa has become important for identification of animal source in food samples to prevent commercial fraud. In this study, COI barcode sequence in seventy one river buffalo samples were determined, analyzed and deposited in Genbank barcode database and barcode of life database (BOLD) to contribute for construction of public reference library for COI barcode sequence in river buffalo. Moreover COI barcode sequence was used to identify the closely related buffalo groups: river buffalo, swamp buffalo, lowland anoa and African buffalo. Results indicated the success of the COI barcode in the identification of each of the tested groups. Whereas a suggested sequence of other mitochondrial segment representing two successive transfer RNA (tRNA) genes; tRNA-Threonine (MT-TT) and tRNA-Proline (MT-TP) was failed to be used as a barcode marker for differentiation between the tested buffalo groups.
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Affiliation(s)
- Amal Ahmed Mohamed Hassan
- Cell Biology Department, Genetic Engineering and Biotechnology Research Division, National Research Centre, 33 El Bohouth St., El Dokki, P.O. Box 12622, Giza, Egypt
| | - Esraa Aly Balabel
- Cell Biology Department, Genetic Engineering and Biotechnology Research Division, National Research Centre, 33 El Bohouth St., El Dokki, P.O. Box 12622, Giza, Egypt
| | - Hanaa Abdel Sadek Oraby
- Cell Biology Department, Genetic Engineering and Biotechnology Research Division, National Research Centre, 33 El Bohouth St., El Dokki, P.O. Box 12622, Giza, Egypt
| | - Samy Anwar Darwish
- Animal Production Research Institute, 7 Nady EL Said St., El Dokki, P.O. Box 12618, Giza, Egypt
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El Sheikha AF, Mokhtar NFK, Amie C, Lamasudin DU, Isa NM, Mustafa S. Authentication technologies using DNA-based approaches for meats and halal meats determination. FOOD BIOTECHNOL 2017. [DOI: 10.1080/08905436.2017.1369886] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Aly Farag El Sheikha
- Department of Biology, McMaster University, Hamilton, Ontario, Canada
- Department of Food Science and Technology, Faculty of Agriculture, Minufiya University, Shibin El Kom, Egypt
| | - Nur Fadhilah Khairil Mokhtar
- Laboratory of Halal Products Research Institute, Halal Products Research Institute, Universiti Putra Malaysia (UPM), Selangor, Malaysia
| | - Ceesay Amie
- Department of Microbiology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia (UPM), Selangor, Malaysia
| | - Dhilia Udie Lamasudin
- Department of Cell and Molecular Biology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia (UPM), Selangor, Malaysia
| | - Nurulfiza Mat Isa
- Department of Cell and Molecular Biology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia (UPM), Selangor, Malaysia
| | - Shuhaimi Mustafa
- Laboratory of Halal Products Research Institute, Halal Products Research Institute, Universiti Putra Malaysia (UPM), Selangor, Malaysia
- Department of Microbiology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia (UPM), Selangor, Malaysia
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