1
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Sun ML, Yang Y, Hu R, Li JL, Liu SH, Chen YZ, Wang DY, Wang L, Li YZ, Zhong Y, Yao J, Li XN. Simple and field-adapted species identification of biological specimens combining multiplex multienzyme isothermal rapid amplification, lateral flow dipsticks, and universal primers for initial rapid screening without standard PCR laboratory. Int J Legal Med 2024; 138:561-570. [PMID: 37801116 DOI: 10.1007/s00414-023-03101-2] [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: 04/20/2023] [Accepted: 09/25/2023] [Indexed: 10/07/2023]
Abstract
Species identification of biological specimens can provide the valuable clues and accelerate the speed of prosecution material processing for forensic investigation, especially when the case scene is inaccessible and the physical evidence is cumbersome. Thus, establishing a rapid, simple, and field-adapted species identification method is crucial for forensic scientists, particularly as first-line technology at the crime scene for initial rapid screening. In this study, we established a new field-adapted species identification method by combining multiplex multienzyme isothermal rapid amplification (MIRA), lateral flow dipstick (LFD) system, and universal primers. Universal primers targeting COX I and COX II genes were used in multiplex MIRA-LFD system for seven species identification, and a dedicated MIRA-LFD system primer targeting CYT B gene was used to detect the human material. DNA extraction was performed by collecting DNA directly from the centrifuged supernatant. Our study found that the entire amplification process took only 15 min at 37 °C and the results of LFDs could be visually observed after 10 min. The detection sensitivity of human material could reach 10 pg, which is equivalent to the detection of single cell. Different common animal samples mixed at the ratio of 1 ng:1 ng, 10 ng:1 ng, and 1 ng:10 ng could be detected successfully. Furthermore, the damaged and degraded samples could also be detected. Therefore, the convenient, feasible, and rapid approach for species identification is suitable for popularization as first-line technology at the crime scene for initial rapid screening and provides a great convenient for forensic application.
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Affiliation(s)
- Mao-Ling Sun
- School of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenbei New District, Shenyang, 110122, People's Republic of China
- Key Laboratory of Forensic Bio-Evidence Sciences, Liaoning Province, Shenyang, People's Republic of China
- China Medical University Center of Forensic Investigation, Shenyang, People's Republic of China
| | - Ying Yang
- Department of Gastroenterology, Shengjing Hospital of China Medical University, Shenyang, People's Republic of China
| | - Ran Hu
- Department of Pathology, College of Basic Medical Sciences and First Affiliated Hospital of China Medical University, Shenyang, People's Republic of China
| | - Jia-Lun Li
- School of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenbei New District, Shenyang, 110122, People's Republic of China
- Key Laboratory of Forensic Bio-Evidence Sciences, Liaoning Province, Shenyang, People's Republic of China
- China Medical University Center of Forensic Investigation, Shenyang, People's Republic of China
| | - Shu-Han Liu
- School of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenbei New District, Shenyang, 110122, People's Republic of China
- Key Laboratory of Forensic Bio-Evidence Sciences, Liaoning Province, Shenyang, People's Republic of China
- China Medical University Center of Forensic Investigation, Shenyang, People's Republic of China
| | - Yun-Zhou Chen
- School of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenbei New District, Shenyang, 110122, People's Republic of China
- Key Laboratory of Forensic Bio-Evidence Sciences, Liaoning Province, Shenyang, People's Republic of China
- China Medical University Center of Forensic Investigation, Shenyang, People's Republic of China
| | - Dong-Yi Wang
- School of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenbei New District, Shenyang, 110122, People's Republic of China
- Key Laboratory of Forensic Bio-Evidence Sciences, Liaoning Province, Shenyang, People's Republic of China
- China Medical University Center of Forensic Investigation, Shenyang, People's Republic of China
| | - Lan Wang
- School of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenbei New District, Shenyang, 110122, People's Republic of China
- Key Laboratory of Forensic Bio-Evidence Sciences, Liaoning Province, Shenyang, People's Republic of China
- China Medical University Center of Forensic Investigation, Shenyang, People's Republic of China
| | - Yu-Zhang Li
- School of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenbei New District, Shenyang, 110122, People's Republic of China
- Key Laboratory of Forensic Bio-Evidence Sciences, Liaoning Province, Shenyang, People's Republic of China
- China Medical University Center of Forensic Investigation, Shenyang, People's Republic of China
| | - Yang Zhong
- School of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenbei New District, Shenyang, 110122, People's Republic of China
- Key Laboratory of Forensic Bio-Evidence Sciences, Liaoning Province, Shenyang, People's Republic of China
- China Medical University Center of Forensic Investigation, Shenyang, People's Republic of China
| | - Jun Yao
- School of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenbei New District, Shenyang, 110122, People's Republic of China.
- Key Laboratory of Forensic Bio-Evidence Sciences, Liaoning Province, Shenyang, People's Republic of China.
- China Medical University Center of Forensic Investigation, Shenyang, People's Republic of China.
| | - Xiao-Na Li
- School of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenbei New District, Shenyang, 110122, People's Republic of China.
- Key Laboratory of Forensic Bio-Evidence Sciences, Liaoning Province, Shenyang, People's Republic of China.
- China Medical University Center of Forensic Investigation, Shenyang, People's Republic of China.
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2
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He C, Bai L, Chen Y, Jiang W, Jia J, Pan A, Lv B, Wu X. Detection and Quantification of Adulterated Beef and Mutton Products by Multiplex Droplet Digital PCR. Foods 2022; 11:foods11193034. [PMID: 36230111 PMCID: PMC9562675 DOI: 10.3390/foods11193034] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Revised: 09/01/2022] [Accepted: 09/16/2022] [Indexed: 11/19/2022] Open
Abstract
In order to seek high profit, businesses mix beef and mutton with cheap meat, such as duck, pork, and chicken. Five pairs of primers were designed for quintuple droplet digital PCR (qddPCR) of specific genomic regions from five selected species and specificity and amplification efficiency were determined. The mixed DNA template with an equal copy number was used for detecting the accuracy and limit of multiplex PCR. The results showed that the primers and probes of the five selected species had good specificity with the minimum number of detection copies: 0.15 copies/µL beef (Bos taurus), 0.28 copies/μL duck (Anas platyrhynchos), 0.37 copies/μL pork (Sus scrofa), 0.39 copies/μL chicken (Gallus gallus), and 0.41 copies/μL mutton (Ovis aries), respectively. The five sets of primers and probes could quickly judge whether the specified meat components existed in the food commodities.
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Affiliation(s)
- Chuan He
- Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201106, China
- Shanghai Key Laboratory of Agricultural Genetics and Breeding, Shanghai Academy of Agricultural Sciences, Shanghai 201106, China
- Crops Ecological Environment Security Inspection and Supervision Center (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai 201106, China
| | - Lan Bai
- Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201106, China
- Shanghai Key Laboratory of Agricultural Genetics and Breeding, Shanghai Academy of Agricultural Sciences, Shanghai 201106, China
- Crops Ecological Environment Security Inspection and Supervision Center (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai 201106, China
| | - Yifan Chen
- Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201106, China
- Shanghai Key Laboratory of Agricultural Genetics and Breeding, Shanghai Academy of Agricultural Sciences, Shanghai 201106, China
- Crops Ecological Environment Security Inspection and Supervision Center (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai 201106, China
| | - Wei Jiang
- Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201106, China
- Shanghai Key Laboratory of Agricultural Genetics and Breeding, Shanghai Academy of Agricultural Sciences, Shanghai 201106, China
- Crops Ecological Environment Security Inspection and Supervision Center (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai 201106, China
| | - Junwei Jia
- Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201106, China
- Crops Ecological Environment Security Inspection and Supervision Center (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai 201106, China
| | - Aihu Pan
- Shanghai Key Laboratory of Agricultural Genetics and Breeding, Shanghai Academy of Agricultural Sciences, Shanghai 201106, China
- Crops Ecological Environment Security Inspection and Supervision Center (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai 201106, China
| | - Beibei Lv
- Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201106, China
- Shanghai Key Laboratory of Agricultural Genetics and Breeding, Shanghai Academy of Agricultural Sciences, Shanghai 201106, China
- Crops Ecological Environment Security Inspection and Supervision Center (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai 201106, China
| | - Xiao Wu
- Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201106, China
- Shanghai Key Laboratory of Agricultural Genetics and Breeding, Shanghai Academy of Agricultural Sciences, Shanghai 201106, China
- Crops Ecological Environment Security Inspection and Supervision Center (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai 201106, China
- Correspondence:
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3
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Wang L, Zuo Y, Xue Z, Zuo T, Lu H, Zhang T. A simple and effective PCR assay to detect the origin of meat in food using mitochondrial DNA. J Verbrauch Lebensm 2022. [DOI: 10.1007/s00003-022-01388-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
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4
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Modern on-site tool for monitoring contamination of halal meat with products from five non-halal animals using multiplex polymerase chain reaction coupled with DNA strip. Food Control 2022. [DOI: 10.1016/j.foodcont.2021.108540] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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5
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Njaramba JK, Wambua L, Mukiama T, Amugune NO, Villinger J. Detection of Species Substitution in the Meat Value Chain by High-Resolution Melting Analysis of Mitochondrial PCR Products. Foods 2021; 10:foods10123090. [PMID: 34945640 PMCID: PMC8702074 DOI: 10.3390/foods10123090] [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: 09/28/2021] [Revised: 11/24/2021] [Accepted: 12/03/2021] [Indexed: 12/01/2022] Open
Abstract
Substituting high commercial-value meats with similar cheaper or undesirable species is a common form of food fraud that raises ethical, religious, and dietary concerns. Measures to monitor meat substitution are being put in place in many developed countries. However, information about similar efforts in sub-Saharan Africa is sparse. We used PCR coupled with high-resolution melting (PCR-HRM) analysis targeting three mitochondrial genes—cytochrome oxidase 1 (CO1), cytochrome b (cyt b), and 16S rRNA—to detect species substitution in meat sold to consumers in Nairobi, Kenya. Out of 107 meat samples representing seven livestock animals, 11 (10.3%) had been substituted, with the highest rate being observed in samples sold as goat. Our results indicate that PCR-HRM analysis is a cost- and time-effective technique that can be employed to detect species substitution. The combined use of the three mitochondrial markers produced PCR-HRM profiles that successfully allowed for the consistent distinction of species in the analysis of raw, cooked, dried, and rotten meat samples, as well as of meat admixtures. We propose that this approach has broad applications in the protection of consumers against food fraud in the meat industry in low- and middle-income countries such as Kenya, as well as in developed countries.
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Affiliation(s)
- Jane Kagure Njaramba
- International Centre of Insect Physiology and Ecology (icipe), Nairobi P.O. Box 30772-00100, Kenya; (J.K.N.); (J.V.)
- Department of Biology, University of Nairobi, Nairobi P.O. Box 30197-00100, Kenya; (T.M.); (N.O.A.)
| | - Lillian Wambua
- Animal and Human Health Division, International Livestock Research Institute, Nairobi P.O Box 30709-00100, Kenya
- Correspondence:
| | - Titus Mukiama
- Department of Biology, University of Nairobi, Nairobi P.O. Box 30197-00100, Kenya; (T.M.); (N.O.A.)
| | - Nelson Onzere Amugune
- Department of Biology, University of Nairobi, Nairobi P.O. Box 30197-00100, Kenya; (T.M.); (N.O.A.)
| | - Jandouwe Villinger
- International Centre of Insect Physiology and Ecology (icipe), Nairobi P.O. Box 30772-00100, Kenya; (J.K.N.); (J.V.)
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6
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A new tool for quality control to monitor contamination of six non-halal meats in food industry by multiplex high-resolution melting analysis (HRMA). NFS JOURNAL 2021. [DOI: 10.1016/j.nfs.2021.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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7
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A multiplex real-time PCR approach for identification and quantification of sheep/goat, fox and murine fractions in meats using nuclear DNA sequences. Food Control 2021. [DOI: 10.1016/j.foodcont.2021.108035] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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8
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Li J, Feng YW, Huang LJ, Jiang R, Shen XF. Strand-displacement DNA polymerase induced isothermal circular amplification fluorescence sensor for identification of pork component. FOOD BIOSCI 2021. [DOI: 10.1016/j.fbio.2021.101189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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9
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Zheng M, Zhang Y, Gu J, Bai Z, Zhu R. Classification and quantification of minced mutton adulteration with pork using thermal imaging and convolutional neural network. Food Control 2021. [DOI: 10.1016/j.foodcont.2021.108044] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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10
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Yu N, Ren J, Huang W, Xing R, Deng T, Chen Y. An effective analytical droplet digital PCR approach for identification and quantification of fur-bearing animal meat in raw and processed food. Food Chem 2021; 355:129525. [PMID: 33799266 DOI: 10.1016/j.foodchem.2021.129525] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Revised: 03/01/2021] [Accepted: 03/02/2021] [Indexed: 11/18/2022]
Abstract
Available nuclear gene sequences for meat detection are still rare and little applicability in the investigation of new types of meat adulteration such as fox, mink and raccoon dog was performed. In the present work, we developed a reliable qualitative and quantitative detection method for fur-bearing animal meat based on droplet digital PCR (ddPCR). Three sets of primers and probes targeted nuclear genes for fox, mink and raccoon dog were designed for ddPCR system; In addition, turkey was selected as internal reference to transform the copy numbers to the fraction of target species. Results indicated that the dynamic ranges of three fur-bearing animals were all from 1% to 90%; the limit of detection (LOD) and limit of quantification (LOQ) for three fur-bearing animals were same, with LOD 0.1% (w/w) and LOQ 1% (w/w). Moreover, we confirmed that different additives had no effect on quantification accuracy in the ddPCR assay.
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Affiliation(s)
- Ning Yu
- Chinese Academy of Inspection and Quarantine, Beijing, 100176
| | - Junan Ren
- Chinese Academy of Inspection and Quarantine, Beijing, 100176; Beijing Food & Wine Inspection and Testing 1st Station, Beijing, 101111
| | - Wensheng Huang
- Chinese Academy of Inspection and Quarantine, Beijing, 100176
| | - Ranran Xing
- Chinese Academy of Inspection and Quarantine, Beijing, 100176
| | - Tingting Deng
- Chinese Academy of Inspection and Quarantine, Beijing, 100176
| | - Ying Chen
- Chinese Academy of Inspection and Quarantine, Beijing, 100176.
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11
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Lee HM, Park B, Yang JS, Ha JH. Correlation between foodborne pathogens and murine contamination of red pepper powder. Food Control 2021. [DOI: 10.1016/j.foodcont.2020.107646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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12
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Barcoding animal species. FOOD SCIENCE AND TECHNOLOGY 2020. [DOI: 10.1002/fsat.3404_10.x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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13
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Yu N, Han J, Deng T, Chen L, Zhang J, Xing R, Wang P, Zhao G, Chen Y. A Novel Analytical Droplet Digital PCR Method for Identification and Quantification of Raw Health Food Material Powder from Panax notoginseng. FOOD ANAL METHOD 2020. [DOI: 10.1007/s12161-020-01887-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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14
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Hassoun A, Måge I, Schmidt WF, Temiz HT, Li L, Kim HY, Nilsen H, Biancolillo A, Aït-Kaddour A, Sikorski M, Sikorska E, Grassi S, Cozzolino D. Fraud in Animal Origin Food Products: Advances in Emerging Spectroscopic Detection Methods over the Past Five Years. Foods 2020; 9:E1069. [PMID: 32781687 PMCID: PMC7466239 DOI: 10.3390/foods9081069] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 07/29/2020] [Accepted: 08/01/2020] [Indexed: 12/27/2022] Open
Abstract
Animal origin food products, including fish and seafood, meat and poultry, milk and dairy foods, and other related products play significant roles in human nutrition. However, fraud in this food sector frequently occurs, leading to negative economic impacts on consumers and potential risks to public health and the environment. Therefore, the development of analytical techniques that can rapidly detect fraud and verify the authenticity of such products is of paramount importance. Traditionally, a wide variety of targeted approaches, such as chemical, chromatographic, molecular, and protein-based techniques, among others, have been frequently used to identify animal species, production methods, provenance, and processing of food products. Although these conventional methods are accurate and reliable, they are destructive, time-consuming, and can only be employed at the laboratory scale. On the contrary, alternative methods based mainly on spectroscopy have emerged in recent years as invaluable tools to overcome most of the limitations associated with traditional measurements. The number of scientific studies reporting on various authenticity issues investigated by vibrational spectroscopy, nuclear magnetic resonance, and fluorescence spectroscopy has increased substantially over the past few years, indicating the tremendous potential of these techniques in the fight against food fraud. It is the aim of the present manuscript to review the state-of-the-art research advances since 2015 regarding the use of analytical methods applied to detect fraud in food products of animal origin, with particular attention paid to spectroscopic measurements coupled with chemometric analysis. The opportunities and challenges surrounding the use of spectroscopic techniques and possible future directions will also be discussed.
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Affiliation(s)
- Abdo Hassoun
- Nofima AS, Norwegian Institute of Food, Fisheries, and Aquaculture Research, Muninbakken 9-13, 9291 Tromsø, Norway; (I.M.); (H.N.)
| | - Ingrid Måge
- Nofima AS, Norwegian Institute of Food, Fisheries, and Aquaculture Research, Muninbakken 9-13, 9291 Tromsø, Norway; (I.M.); (H.N.)
| | - Walter F. Schmidt
- United States Department of Agriculture, Agricultural Research Service, 10300 Baltimore Avenue, Beltsville, MD 20705-2325, USA;
| | - Havva Tümay Temiz
- Department of Food Engineering, Bingol University, 12000 Bingol, Turkey;
| | - Li Li
- Key Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao 266003, China;
| | - Hae-Yeong Kim
- Department of Food Science and Biotechnology, Kyung Hee University, Yongin 17104, Korea;
| | - Heidi Nilsen
- Nofima AS, Norwegian Institute of Food, Fisheries, and Aquaculture Research, Muninbakken 9-13, 9291 Tromsø, Norway; (I.M.); (H.N.)
| | - Alessandra Biancolillo
- Department of Physical and Chemical Sciences, University of L’Aquila, 67100 Via Vetoio, Coppito, L’Aquila, Italy;
| | | | - Marek Sikorski
- Faculty of Chemistry, Adam Mickiewicz University in Poznan, Uniwersytetu Poznanskiego 8, 61-614 Poznan, Poland;
| | - Ewa Sikorska
- Institute of Quality Science, Poznań University of Economics and Business, al. Niepodległości 10, 61-875 Poznań, Poland;
| | - Silvia Grassi
- Department of Food, Environmental and Nutritional Sciences (DeFENS), Università degli Studi di Milano, via Celoria, 2, 20133 Milano, Italy;
| | - Daniel Cozzolino
- Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, 39 Kessels Rd, Coopers Plains, QLD 4108, Australia;
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15
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Iqbal M, Saleem MS, Imran M, Khan WA, Ashraf K, Yasir Zahoor M, Rashid I, Rehman HU, Nadeem A, Ali S, Naz S, Shehzad W. Single tube multiplex PCR assay for the identification of banned meat species. FOOD ADDITIVES & CONTAMINANTS PART B-SURVEILLANCE 2020; 13:284-291. [PMID: 32552602 DOI: 10.1080/19393210.2020.1778098] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Food adulteration has a direct impact on public health, religious faith, fair-trades, and wildlife. In the present study, a reliable and sensitive assay has been developed for verifying meat adulteration in food chain. The multiplex PCR system was optimised for identification of chicken, cow/buffalo, sheep/goat, horse/donkey, pork, and dog DNAs in a single reaction mixture simultaneously. The primers were designed using 12 S rRNA gene sequences with fragment size in the range of 113 bp to 800 bp, which can be easily visualised on agarose gel electrophoresis making the technique economical. After validation of accuracy, specificity, and sensitivity, commercially available meat products (n = 190) were screened, comprising both raw and cooked meat samples. The results demonstrated a high rate of adulteration (54.5%) in meat products. The technique developed here can be easily used for screening of different meat products for export and import purposes as well as for food inspection and livestock diagnostic laboratories.
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Affiliation(s)
- Memoona Iqbal
- Institute of Biochemistry and Biotechnology, Faculty of Biosciences, University of Veterinary and Animal Sciences , Lahore, Pakistan
| | - Muhammad Sulyman Saleem
- Institute of Biochemistry and Biotechnology, Faculty of Biosciences, University of Veterinary and Animal Sciences , Lahore, Pakistan
| | - Muhammad Imran
- Institute of Biochemistry and Biotechnology, Faculty of Biosciences, University of Veterinary and Animal Sciences , Lahore, Pakistan
| | - Waseem Ahmad Khan
- Department of Wildlife and Ecology, Faculty of Fisheries and Wildlife, University of Veterinary and Animal Sciences , Pattoki, Pakistan
| | - Kamran Ashraf
- Department of Parasitology, Faculty of Veterinary Sciences, University of Veterinary and Animal Sciences , Lahore, Pakistan
| | - M Yasir Zahoor
- Institute of Biochemistry and Biotechnology, Faculty of Biosciences, University of Veterinary and Animal Sciences , Lahore, Pakistan
| | - Imran Rashid
- Department of Parasitology, Faculty of Veterinary Sciences, University of Veterinary and Animal Sciences , Lahore, Pakistan
| | - Habib-Ur Rehman
- Department of Physiology, Faculty of Biosciences, University of Veterinary and Animal Sciences , Lahore, Pakistan
| | - Asif Nadeem
- Institute of Biochemistry and Biotechnology, Faculty of Biosciences, University of Veterinary and Animal Sciences , Lahore, Pakistan
| | - Saadat Ali
- Institute of Biochemistry and Biotechnology, Faculty of Biosciences, University of Veterinary and Animal Sciences , Lahore, Pakistan
| | - Sarwat Naz
- Veterinary Research Institute , Lahore, Pakistan
| | - Wasim Shehzad
- Institute of Biochemistry and Biotechnology, Faculty of Biosciences, University of Veterinary and Animal Sciences , Lahore, Pakistan
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16
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Li YC, Liu SY, Meng FB, Liu DY, Zhang Y, Wang W, Zhang JM. Comparative review and the recent progress in detection technologies of meat product adulteration. Compr Rev Food Sci Food Saf 2020; 19:2256-2296. [PMID: 33337107 DOI: 10.1111/1541-4337.12579] [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: 02/13/2020] [Revised: 05/06/2020] [Accepted: 05/06/2020] [Indexed: 12/11/2022]
Abstract
Meat adulteration, mainly for the purpose of economic pursuit, is widespread and leads to serious public health risks, religious violations, and moral loss. Rapid, effective, accurate, and reliable detection technologies are keys to effectively supervising meat adulteration. Considering the importance and rapid advances in meat adulteration detection technologies, a comprehensive review to summarize the recent progress in this area and to suggest directions for future progress is beneficial. In this review, destructive meat adulteration technologies based on DNA, protein, and metabolite analyses and nondestructive technologies based on spectroscopy were comparatively analyzed. The advantages and disadvantages, application situations of these technologies were discussed. In the future, determining suitable indicators or markers is particularly important for destructive methods. To improve sensitivity and save time, new interdisciplinary technologies, such as biochips and biosensors, are promising for application in the future. For nondestructive techniques, convenient and effective chemometric models are crucial, and the development of portable devices based on these technologies for onsite monitoring is a future trend. Moreover, omics technologies, especially proteomics, are important methods in laboratory detection because they enable multispecies detection and unknown target screening by using mass spectrometry databases.
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Affiliation(s)
- Yun-Cheng Li
- College of Pharmacy and Biological Engineering, Chengdu University, Chengdu, China.,Key Laboratory of Meat Processing of Sichuan Province, Chengdu University, Chengdu, China
| | - Shu-Yan Liu
- College of Pharmacy and Biological Engineering, Chengdu University, Chengdu, China
| | - Fan-Bing Meng
- College of Pharmacy and Biological Engineering, Chengdu University, Chengdu, China.,Key Laboratory of Meat Processing of Sichuan Province, Chengdu University, Chengdu, China
| | - Da-Yu Liu
- College of Pharmacy and Biological Engineering, Chengdu University, Chengdu, China.,Key Laboratory of Meat Processing of Sichuan Province, Chengdu University, Chengdu, China
| | - Yin Zhang
- College of Pharmacy and Biological Engineering, Chengdu University, Chengdu, China.,Key Laboratory of Meat Processing of Sichuan Province, Chengdu University, Chengdu, China
| | - Wei Wang
- Key Laboratory of Meat Processing of Sichuan Province, Chengdu University, Chengdu, China
| | - Jia-Min Zhang
- Key Laboratory of Meat Processing of Sichuan Province, Chengdu University, Chengdu, China
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17
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Duan S, Ai JX, Sun L, Gao L, Li M, Chen K, Li D. Development and validation of a rapid kit for authenticity of murine meat in meat products with a species-specific PCR assay. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2020; 37:552-560. [PMID: 32039648 DOI: 10.1080/19440049.2020.1718218] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Adulteration of meat products with murine meat poses a huge threat to consumer health and leads to serious disruption in food markets. Species authentication of murine meat is still technically challenging. We, therefore, developed a species-specific PCR kit consisting of murine meat DNA extraction, PCR reaction and identifying systems. We designed novel universal primers targeting highly conserved region on mitochondrial cytochrome b gene (cyt b) from four murines (lab rats, lab mice, wild rat and wild mice), as well as specific primers for meat from four widely consumed animal species, cattle, sheep, duck and donkey. Simultaneously, pasmid inserted specific cyt b fragment was cloned and used as the internal positve control in the kit. The kit parameters of specificity, sensitivity, stability and validity were determined using mimic counterfeiting meatball. The specificity of the DNA detection kit was 100% in authentication of the four fraudulent meats of cattle, sheep, duck and donkey mixed murine meat. The minimum detection limit of the sample DNA was 0.1 μg. The kit, which had freeze-thawed up to 20 times and stored for 1 year, also was powerful in detecting an amount of 0.1 mg in artificial counterfeited cattle, sheep, duck and donkey meat products. The murine-species DNA detection kit proposed in this study has proved to be a simple, accurate and effective assay, and can be applied to the identification of murine meat traces in common edible meat, to ensure the realisable implementation of meat product market supervision.
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Affiliation(s)
- Siqi Duan
- School of Laboratory Medicine, Beihua University, Jilin, Jilin, China
| | - Jin Xia Ai
- School of Laboratory Medicine, Beihua University, Jilin, Jilin, China
| | - Liyuan Sun
- School of Laboratory Medicine, Beihua University, Jilin, Jilin, China
| | - Lijun Gao
- School of Laboratory Medicine, Beihua University, Jilin, Jilin, China
| | - Mingcheng Li
- School of Laboratory Medicine, Beihua University, Jilin, Jilin, China.,Deptartment of Molecular Diagnosis, Innovation Center for Detection Technology on DNA Fingerprint of Traditional Chinese Medicine, Jilin, Jilin Province, China
| | - Kun Chen
- School of Laboratory Medicine, Beihua University, Jilin, Jilin, China
| | - Dan Li
- Deptartment of Molecular Diagnosis, Jilin Leining Scientific Service Co. Ltd for Detection of Drug and Food, Jilin, Jilin, China
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Development of a Real-Time PCR Assay for the Detection of Donkey (Equus asinus) Meat in Meat Mixtures Treated under Different Processing Conditions. Foods 2020; 9:foods9020130. [PMID: 31991914 PMCID: PMC7074451 DOI: 10.3390/foods9020130] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2019] [Revised: 01/22/2020] [Accepted: 01/23/2020] [Indexed: 11/17/2022] Open
Abstract
In this study, a donkey-specific primer pair and probe were designed from mitochondrial cytochrome b gene for the detection of raw donkey meat and different processed meat mixtures. The PCR product size for donkey DNA was 99 bp, and primer specificity was verified using 20 animal species. The limit of detection (LOD) was examined by serially diluting donkey DNA. Using real-time PCR, 0.001 ng of donkey DNA could be detected. In addition, binary meat mixtures with various percentages of donkey meat (0.001%, 0.01%, 0.1%, 1%, 10%, and 100%) in beef were analyzed to determine the sensitivity of this real-time PCR assay. At least 0.001% of donkey meat was detected in raw, boiled, roasted, dried, grinded, fried, and autoclaved meat mixtures. The developed real-time PCR method showed sufficient specificity and sensitivity in identification of donkey meat and could be a useful tool for the identification of donkey meat in processed products.
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19
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Wang W, Liu J, Zhang Q, Zhou X, Liu B. Multiplex PCR assay for identification and quantification of bovine and equine in minced meats using novel specific nuclear DNA sequences. Food Control 2019. [DOI: 10.1016/j.foodcont.2019.05.016] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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20
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Dantas VV, Cardoso GVF, Araújo WSC, de Oliveira ACDS, Silva ASD, da Silva JB, Pedroso SCDS, Roos TB, Moraes CMD, Lourenço LDFH. Application of a multiplex polymerase chain reaction (mPCR) assay to detect fraud by substitution of bovine meat cuts with water buffalo meat in Northern Brazil. CYTA - JOURNAL OF FOOD 2019. [DOI: 10.1080/19476337.2019.1650832] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Vanderson Vasconcelos Dantas
- Food Technology Department, Pará State University (UEPA), Redenção, Brazil
- LAPOA/FEA (Faculty of Food Engineering), Federal University of Pará (UFPA), Belém, Brazil
| | | | | | | | - Andreia Silva da Silva
- LHQA/IMEV (Institute of Veterinary Medicine), Federal University of Pará (UFPA), Castanhal, Brazil
| | | | | | - Talita Bandeira Roos
- LHQA/IMEV (Institute of Veterinary Medicine), Federal University of Pará (UFPA), Castanhal, Brazil
| | - Carina Martins de Moraes
- LHQA/IMEV (Institute of Veterinary Medicine), Federal University of Pará (UFPA), Castanhal, Brazil
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21
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Shi Z, Yin B, Li Y, Zhou G, Li C, Xu X, Luo X, Zhang X, Qi J, Voglmeir J, Liu L. N-Glycan Profile as a Tool in Qualitative and Quantitative Analysis of Meat Adulteration. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2019; 67:10543-10551. [PMID: 31464438 DOI: 10.1021/acs.jafc.9b03756] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Adulteration of meat and meat products causes concerns to consumers. It is necessary to develop novel robust and sensitive methods that can authenticate the origin of meat by qualitative and quantitative means to minimize the drawbacks of the existing methods. This study has shown that the protein N-glycosylation profiles of different meats are species specific and thus can be used for meat authentication. Based on the N-glycan pattern, the investigated five meat species (beef, chicken, pork, duck, and mutton) can be distinguished by principal component analysis, and partial least square regression was performed to build a calibration and validation model for the prediction of adulteration ratio. Using this method, beef samples adulterated with a lower-value duck meat could be detected down to the addition ratio as low as 2.2%. The most distinguishing N-glycans from beef and duck were elucidated for the detailed structures.
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Affiliation(s)
| | | | | | | | | | | | - Xin Luo
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering , Shandong Agricultural University , Taian , Shandong 271018 , China
| | - Xibin Zhang
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering , Shandong Agricultural University , Taian , Shandong 271018 , China
- New Hope Liuhe Co. Ltd. , Beijing 100102 , China
| | - Jun Qi
- Anhui Engineering Laboratory for Agro-products Processing , Anhui Agricultural University , Hefei , Anhui 230036 , China
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22
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Kang TS. Basic principles for developing real-time PCR methods used in food analysis: A review. Trends Food Sci Technol 2019. [DOI: 10.1016/j.tifs.2019.07.037] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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23
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Rao MS, Chakraborty G, Murthy KS. Market Drivers and Discovering Technologies in Meat Species Identification. FOOD ANAL METHOD 2019. [DOI: 10.1007/s12161-019-01591-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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24
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Tetraplex real-time PCR with TaqMan probes for discriminatory detection of cat, rabbit, rat and squirrel DNA in food products. Eur Food Res Technol 2019. [DOI: 10.1007/s00217-019-03326-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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25
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Kim SY, Kim MJ, Jung SK, Kim HY. Development of a fast real-time PCR assay based on TaqMan probe for identification of edible rice grasshopper (Oxya chinensis) in processed food products. Food Res Int 2019; 116:441-446. [PMID: 30716966 DOI: 10.1016/j.foodres.2018.08.059] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Revised: 08/13/2018] [Accepted: 08/18/2018] [Indexed: 12/21/2022]
Abstract
Interest in using insects as an alternative source of food for humans is increasing. However, few analytical methods provide accurate information about the presence of insect species in processed foods. In this study, we developed a fast real-time PCR assay based on a TaqMan probe that can be performed within 40 min to detect edible rice grasshopper in commercial food products. A rice grasshopper-specific primer pair and probe targeting the cytochrome c oxidase subunit 1 (COI) gene were newly designed, having an amplicon size of 110 bp. The specificity of this primer pair and probe was verified using 19 insects and five crustaceans and no cross-reactivity was obtained against the non-target species. The absolute limit of detection (LOD) was 0.5 pg of rice grasshopper DNA, and as low as 0.1% of rice grasshopper was detected in raw, heat-treated, and autoclaved binary insect mixtures. To evaluate the effect of food matrix, binary mixtures containing rice grasshopper in wheat were used additionally, and at least 0.1% of target species was detected using this assay. The applicability of this assay was confirmed using nine commercial food samples labeled as containing rice grasshopper or locust. The fast real-time PCR developed in this study is a specific and sensitive method for identifying edible rice grasshopper in various food samples.
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Affiliation(s)
- Sung-Yeon Kim
- Institute of Life Sciences & Resources and Department of Food Science and Biotechnology, Kyung Hee University, Yongin 17104, Republic of Korea
| | - Mi-Ju Kim
- Institute of Life Sciences & Resources and Department of Food Science and Biotechnology, Kyung Hee University, Yongin 17104, Republic of Korea
| | - Seul-Ki Jung
- Institute of Life Sciences & Resources and Department of Food Science and Biotechnology, Kyung Hee University, Yongin 17104, Republic of Korea
| | - Hae-Yeong Kim
- Institute of Life Sciences & Resources and Department of Food Science and Biotechnology, Kyung Hee University, Yongin 17104, Republic of Korea.
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26
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Liu W, Wang X, Tao J, Xi B, Xue M, Sun W. A Multiplex PCR Assay Mediated by Universal Primers for the Detection of Adulterated Meat in Mutton. J Food Prot 2019; 82:325-330. [PMID: 30688538 DOI: 10.4315/0362-028x.jfp-18-302] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
This study aimed to establish a multiplex PCR detection system mediated by "universal primers," which would be able to determine whether mutton meat contained nonmutton ingredients from rats, foxes, and ducks. Based on the sequence variation of specific mitochondrial genes, nine different multiplex PCR primers were designed, and four kinds of meat products were rapidly identified by electrophoresis using an optimized multiplex PCR system based on the molecular weight differences of the amplified products. Multiplex PCR applications optimized for meat food source from food samples for testing was used to verify the accuracy of the identification method. The results showed that the primers in multiple PCR system mediated by universal primers could be used for the rapid identification of rat, fox, duck, and sheep meat in mutton products, and the detection sensitivity could reach 0.05 ng/μL. The identification of food samples validated the practical value of this method. Therefore, a multiplex PCR system mediated by universal primers was established, which can be used to quickly identify the origin of animal ingredients from rats, foxes, and ducks in mutton products.
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Affiliation(s)
- Wanwan Liu
- 1 Laboratory of Molecular Diagnostics, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, People's Republic of China
| | - Xiaonan Wang
- 1 Laboratory of Molecular Diagnostics, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, People's Republic of China
| | - Jing Tao
- 1 Laboratory of Molecular Diagnostics, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, People's Republic of China
| | - Bangsheng Xi
- 1 Laboratory of Molecular Diagnostics, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, People's Republic of China
| | - Man Xue
- 2 Suzhou Institute for Food Control, Suzhou, Jiangsu, People's Republic of China
| | - Wanping Sun
- 1 Laboratory of Molecular Diagnostics, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, People's Republic of China
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27
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Han Y, Jian L, Yao Y, Wang X, Han L, Liu X. Insight into Rapid DNA-Specific Identification of Animal Origin Based on FTIR Analysis: A Case Study. Molecules 2018; 23:molecules23112842. [PMID: 30388819 PMCID: PMC6278494 DOI: 10.3390/molecules23112842] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Revised: 10/29/2018] [Accepted: 10/29/2018] [Indexed: 11/29/2022] Open
Abstract
In this study, a methodology has been proposed to identify the origin of animal DNA, employing high throughput extension accessory Fourier transform infrared (HT-FTIR) spectroscopy coupled with chemometrics. Important discriminatory characteristics were identified in the FTIR spectral peaks of 51 standard DNA samples (25 from bovine and 26 from fish origins), including 1710, 1659, 1608, 1531, 1404, 1375, 1248, 1091, 1060, and 966 cm−1. In particular, the bands at 1708 and 1668 cm−1 were higher in fish DNA than in bovine DNA, while the reverse was true for the band at 1530 cm−1 was shown the opposite result. It was also found that the PO2− Vas/Vs ratio (1238/1094 cm−1) was significantly higher (p < 0.05) in bovine DNA than in fish DNA. These discriminatory characteristics were further revealed to be closely related to the base content and base sequences of different samples. Multivariate analyses, such as principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were conducted, and both the sensitivity and specificity values of PLS-DA model were one. This methodology has been further validated by 20 meat tissue samples (4 from bovine, 5 from ovine, 5 from porcine, and 6 from fish origins), and these were successfully differentiated. This case study demonstrated that FTIR spectroscopy coupled with PLS-DA discriminant model could provide a rapid, sensitive, and reliable approach for the identification of DNA of animal origin. This methodology could be widely applied in food, feed, forensic science, and archaeology studies.
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Affiliation(s)
- Yahong Han
- College of Engineering, China Agricultural University, Beijing 100083, China.
| | - Lin Jian
- College of Engineering, China Agricultural University, Beijing 100083, China.
| | - Yumei Yao
- College of Engineering, China Agricultural University, Beijing 100083, China.
| | - Xinlei Wang
- College of Engineering, China Agricultural University, Beijing 100083, China.
| | - Lujia Han
- College of Engineering, China Agricultural University, Beijing 100083, China.
| | - Xian Liu
- College of Engineering, China Agricultural University, Beijing 100083, China.
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28
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Wang Q, Cai Y, He Y, Yang L, Pan L. Collaborative ring trial of two real-time PCR assays for the detection of porcine- and chicken-derived material in meat products. PLoS One 2018; 13:e0206609. [PMID: 30372489 PMCID: PMC6205609 DOI: 10.1371/journal.pone.0206609] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Accepted: 10/16/2018] [Indexed: 12/02/2022] Open
Abstract
In this study, we describe an inter-laboratory collaborative ring trial validation of species-specific TaqMan real-time PCR assays for the detection of porcine- and chicken-derived materials in meat products. We comprehensively evaluated the performance of these assays in different environments and situations. This validation included the participation of thirteen laboratories across Europe and Asia. The results from the thirteen participating laboratories were analyzed to determine the specificity, accuracy, false positive rate, limit of detection (LOD), and probability of detection (POD) of the developed methods. These results indicated that the methods developed to detect porcine- and chicken-derived materials in meat products are robust and repeatable. The false positive and false negative rates were both 0%, and the LOD was determined to be five copies/reaction. The laboratory standard deviation (σL) was 0.30 for both detection methods, indicating that the developed methods are suitable for detection and identification of the porcine- and chicken-derived materials in meat products.
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Affiliation(s)
- Qiang Wang
- Technical Center for Animal, Plant and Food Inspection and Quarantine, Shanghai Entry-Exit Inspection and Quarantine Bureau of China, Pudong New Area, Shanghai, China
| | - Yicun Cai
- Technical Center for Animal, Plant and Food Inspection and Quarantine, Shanghai Entry-Exit Inspection and Quarantine Bureau of China, Pudong New Area, Shanghai, China
| | - Yuping He
- Technical Center for Animal, Plant and Food Inspection and Quarantine, Shanghai Entry-Exit Inspection and Quarantine Bureau of China, Pudong New Area, Shanghai, China
| | - Litao Yang
- School of Life Science and Biotechnology, Shanghai Jiao Tong University, Minhang Area, Shanghai, China
| | - Liangwen Pan
- Technical Center for Animal, Plant and Food Inspection and Quarantine, Shanghai Entry-Exit Inspection and Quarantine Bureau of China, Pudong New Area, Shanghai, China
- * E-mail:
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29
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Speranskaya AS, Krinitsina AA, Shipulin GA, Khafizov KF, Logacheva MD. High-Throughput Sequencing for the Authentication of Food Products: Problems and Perspectives. RUSS J GENET+ 2018. [DOI: 10.1134/s1022795418090132] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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30
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Guo L, Qian JP, Guo YS, Hai X, Liu GQ, Luo JX, Ya M. Simultaneous identification of bovine and equine DNA in milks and dairy products inferred from triplex TaqMan real-time PCR technique. J Dairy Sci 2018; 101:6776-6786. [DOI: 10.3168/jds.2018-14408] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2018] [Accepted: 04/22/2018] [Indexed: 12/27/2022]
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31
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Suntrarachun S, Chanhome L, Sumontha M. Identification of sea snake meat adulteration in meat products using PCR-RFLP of mitochondrial DNA. FOOD SCIENCE AND HUMAN WELLNESS 2018. [DOI: 10.1016/j.fshw.2018.04.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
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32
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Abbas O, Zadravec M, Baeten V, Mikuš T, Lešić T, Vulić A, Prpić J, Jemeršić L, Pleadin J. Analytical methods used for the authentication of food of animal origin. Food Chem 2018; 246:6-17. [DOI: 10.1016/j.foodchem.2017.11.007] [Citation(s) in RCA: 128] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Revised: 10/16/2017] [Accepted: 11/02/2017] [Indexed: 11/26/2022]
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33
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Xu R, Wei S, Zhou G, Ren J, Liu Z, Tang S, Cheung PC, Wu X. Multiplex TaqMan locked nucleic acid real-time PCR for the differential identification of various meat and meat products. Meat Sci 2018; 137:41-46. [DOI: 10.1016/j.meatsci.2017.11.003] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Revised: 10/27/2017] [Accepted: 11/01/2017] [Indexed: 12/11/2022]
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34
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Ali ME, Ahamad MNU, Asing, Hossain MM, Sultana S. Multiplex polymerase chain reaction-restriction fragment length polymorphism assay discriminates of rabbit, rat and squirrel meat in frankfurter products. Food Control 2018. [DOI: 10.1016/j.foodcont.2017.07.030] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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35
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Lubis H, Salihah NT, Norizan NA, Hossain MM, Ahmed MU. Fast and Sensitive Real-time PCR-based Detection of Porcine DNA in Food Samples by Using EvaGreen Dye. FOOD SCIENCE AND TECHNOLOGY RESEARCH 2018. [DOI: 10.3136/fstr.24.803] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Hamadah Lubis
- Biosensors and Biotechnology Laboratory, Integrated Science Building, Faculty of Science, Universiti Brunei Darussalam
| | - Nur Thaqifah Salihah
- Biosensors and Biotechnology Laboratory, Integrated Science Building, Faculty of Science, Universiti Brunei Darussalam
| | - Nur Aqirah Norizan
- Biosensors and Biotechnology Laboratory, Integrated Science Building, Faculty of Science, Universiti Brunei Darussalam
| | | | - Minhaz Uddin Ahmed
- Biosensors and Biotechnology Laboratory, Integrated Science Building, Faculty of Science, Universiti Brunei Darussalam
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36
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Wang Q, Cai Y, He Y, Yang L, Li J, Pan L. Droplet digital PCR (ddPCR) method for the detection and quantification of goat and sheep derivatives in commercial meat products. Eur Food Res Technol 2017. [DOI: 10.1007/s00217-017-3000-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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37
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Ahamad MNU, Ali ME, Hossain MAM, Asing A, Sultana S, Jahurul MHA. Multiplex PCR assay discriminates rabbit, rat and squirrel meat in food chain. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2017; 34:2043-2057. [DOI: 10.1080/19440049.2017.1359752] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Mohammad Nasir Uddin Ahamad
- Nanotechnology and Catalysis Research Center, Institute of Graduate Studies, University of Malaya, Kuala Lumpur, Malaysia
| | - Md. Eaqub Ali
- Nanotechnology and Catalysis Research Center, Institute of Graduate Studies, University of Malaya, Kuala Lumpur, Malaysia
- Institute of Halal Research University of Malaya, University of Malaya, Kuala Lumpur, Malaysia
- Centre for Research in Biotechnology for Agriculture, University of Malaya, Kuala Lumpur, Malaysia
| | - M. A. Motalib Hossain
- Nanotechnology and Catalysis Research Center, Institute of Graduate Studies, University of Malaya, Kuala Lumpur, Malaysia
| | - Asing Asing
- Nanotechnology and Catalysis Research Center, Institute of Graduate Studies, University of Malaya, Kuala Lumpur, Malaysia
| | - Sharmin Sultana
- Nanotechnology and Catalysis Research Center, Institute of Graduate Studies, University of Malaya, Kuala Lumpur, Malaysia
| | - M. H. A. Jahurul
- Faculty of Food Science and Nutrition, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia
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38
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Lubis H, Salihah NT, Hossain MM, Ahmed MU. Development of fast and sensitive real-time qPCR assay based on a novel probe for detection of porcine DNA in food sample. Lebensm Wiss Technol 2017. [DOI: 10.1016/j.lwt.2017.06.043] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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39
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Cai Y, He Y, Lv R, Chen H, Wang Q, Pan L. Detection and quantification of beef and pork materials in meat products by duplex droplet digital PCR. PLoS One 2017; 12:e0181949. [PMID: 28771608 PMCID: PMC5542382 DOI: 10.1371/journal.pone.0181949] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2017] [Accepted: 07/10/2017] [Indexed: 12/02/2022] Open
Abstract
Meat products often consist of meat from multiple animal species, and inaccurate food product adulteration and mislabeling can negatively affect consumers. Therefore, a cost-effective and reliable method for identification and quantification of animal species in meat products is required. In this study, we developed a duplex droplet digital PCR (dddPCR) detection and quantification system to simultaneously identify and quantify the source of meat in samples containing a mixture of beef (Bos taurus) and pork (Sus scrofa) in a single digital PCR reaction tube. Mixed meat samples of known composition were used to test the accuracy and applicability of this method. The limit of detection (LOD) and the limit of quantification (LOQ) of this detection and quantification system were also identified. We conclude that our dddPCR detection and quantification system is suitable for quality control and routine analyses of meat products.
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Affiliation(s)
- Yicun Cai
- Technical Center for Animal, Plant and Food Inspection and Quarantine, Shanghai Entry-Exit Inspection and Quarantine Bureau of China, Pudong New Area, Shanghai, China
| | - Yuping He
- Technical Center for Animal, Plant and Food Inspection and Quarantine, Shanghai Entry-Exit Inspection and Quarantine Bureau of China, Pudong New Area, Shanghai, China
| | - Rong Lv
- Technical Center for Animal, Plant and Food Inspection and Quarantine, Shanghai Entry-Exit Inspection and Quarantine Bureau of China, Pudong New Area, Shanghai, China
| | - Hongchao Chen
- Technical Center for Animal, Plant and Food Inspection and Quarantine, Shanghai Entry-Exit Inspection and Quarantine Bureau of China, Pudong New Area, Shanghai, China
| | - Qiang Wang
- Technical Center for Animal, Plant and Food Inspection and Quarantine, Shanghai Entry-Exit Inspection and Quarantine Bureau of China, Pudong New Area, Shanghai, China
| | - Liangwen Pan
- Technical Center for Animal, Plant and Food Inspection and Quarantine, Shanghai Entry-Exit Inspection and Quarantine Bureau of China, Pudong New Area, Shanghai, China
- * E-mail:
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40
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Cai Y, Wang Q, He Y, Pan L. Interlaboratory validation of a real-time PCR detection method for bovine- and ovine-derived material. Meat Sci 2017; 134:119-123. [PMID: 28780135 DOI: 10.1016/j.meatsci.2017.07.022] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Revised: 07/24/2017] [Accepted: 07/28/2017] [Indexed: 11/26/2022]
Abstract
In this work we performed interlaboratory validation of a Taqman real-time PCR method for the identification of bovine and ovine material. The Bos taurus beta-actin gene (ACTB) and Ovis aries prolactin receptor gene (PRLR) were selected as the bovine and ovine species-specific amplifying target sequences, and primers and TaqMan probes were designed accordingly. The precision, efficiency, false positive rate, limit of detection (LOD95%) and probability of detection (POD) were determined, and the results demonstrated that both bovine and ovine detection methods performed well. The high homogeneity of the results indicates that the detection methods are suitable for a wide range of applications, and the tools developed herein could be applied by official and third-party detection institution to maintain quality in the food and feedstuff industries.
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Affiliation(s)
- Yicun Cai
- Technical Center for Animal, Plant and Food Inspection and Quarantine, Shanghai Entry-Exit Inspection and Quarantine Bureau of China, No. 1208, Minsheng Road, Pudong New Area, Shanghai 200135, China
| | - Qiang Wang
- Technical Center for Animal, Plant and Food Inspection and Quarantine, Shanghai Entry-Exit Inspection and Quarantine Bureau of China, No. 1208, Minsheng Road, Pudong New Area, Shanghai 200135, China
| | - Yuping He
- Technical Center for Animal, Plant and Food Inspection and Quarantine, Shanghai Entry-Exit Inspection and Quarantine Bureau of China, No. 1208, Minsheng Road, Pudong New Area, Shanghai 200135, China
| | - Liangwen Pan
- Technical Center for Animal, Plant and Food Inspection and Quarantine, Shanghai Entry-Exit Inspection and Quarantine Bureau of China, No. 1208, Minsheng Road, Pudong New Area, Shanghai 200135, China.
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Chen R, Wang J, Yuan Y, Deng Y, Lai X, Du F, Dong J, Huang X, Cui X, Tang Z. Weigh Biomaterials by Quantifying Species-specific DNA with Real-time PCR. Sci Rep 2017; 7:4774. [PMID: 28684790 PMCID: PMC5500521 DOI: 10.1038/s41598-017-05083-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Accepted: 05/23/2017] [Indexed: 11/09/2022] Open
Abstract
What's on the label is not what's in the bottle, from food products to herbal medicinal products (HMPs), economically-motivated biomaterials adulteration is a long-term problem affecting the food and drug industry. Accurate identification of the biomaterial ingredients in processed commodities is highly desirable. In this field, DNA-based techniques have proved to be powerful tools to overcome qualitative challenges. However, is it possible to quantify the weight of biological materials with PCR? Therefore, a basic scientific question needs to be answered: what's the relationship between DNA content and the mass of biological materials? Is DNA content directly proportional to the mass of biological materials as most of the researchers previously thought? In this study, we firstly found that there exists a linear relation between DNA contents and the weight of biomaterials indeed when the analytical practices are fully controlled. In this case, the mass of targeted biomaterials in the highly processed commercial products can also be calculated by quantifying the species-specific DNA through classic real-time PCR with a good reproducibility.
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Affiliation(s)
- Rong Chen
- Natural Products Research Center, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, P. R. China
- Ethnomedicine College, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, P. R. China
- University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Jiayu Wang
- Natural Products Research Center, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, P. R. China
| | - Yi Yuan
- Natural Products Research Center, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, P. R. China
| | - Yun Deng
- Pharmacy College, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, P. R. China
| | - Xianrong Lai
- Ethnomedicine College, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, P. R. China
| | - Feng Du
- Natural Products Research Center, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, P. R. China
| | - Juan Dong
- Natural Products Research Center, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, P. R. China
| | - Xin Huang
- Natural Products Research Center, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, P. R. China
| | - Xin Cui
- Natural Products Research Center, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, P. R. China
| | - Zhuo Tang
- Natural Products Research Center, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, P. R. China.
- University of Chinese Academy of Sciences, Beijing, 100049, P. R. China.
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Lab-on-a-Chip-Based PCR-RFLP Assay for the Detection of Malayan Box Turtle (Cuora amboinensis) in the Food Chain and Traditional Chinese Medicines. PLoS One 2016; 11:e0163436. [PMID: 27716792 PMCID: PMC5055339 DOI: 10.1371/journal.pone.0163436] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Accepted: 09/08/2016] [Indexed: 11/18/2022] Open
Abstract
The Malayan box turtle (Cuora amboinensis) (MBT) is a vulnerable and protected turtle species, but it is a lucrative item in the illegal wildlife trade because of its great appeal as an exotic food item and in traditional medicine. Although several polymerase chain reaction (PCR) assays to identify MBT by various routes have been documented, their applicability for forensic authentication remains inconclusive due to the long length of the amplicon targets, which are easily broken down by natural decomposition, environmental stresses or physiochemical treatments during food processing. To address this research gap, we developed, for the first time, a species-specific PCR-restriction fragment length polymorphism (RFLP) assay with a very short target length (120 bp) to detect MBT in the food chain; this authentication ensured better security and reliability through molecular fingerprints. The PCR-amplified product was digested with Bfa1 endonuclease, and distinctive restriction fingerprints (72, 43 and 5 bp) for MBT were found upon separation in a microfluidic chip-based automated electrophoresis system, which enhances the resolution of short oligos. The chances of any false negative identifications were eliminated through the use of a universal endogenous control for eukaryotes, and the limit of detection was 0.0001 ng DNA or 0.01% of the meat under admixed states. Finally, the optimized PCR-RFLP assay was validated for the screening of raw and processed commercial meatballs, burgers and frankfurters, which are very popular in most countries. The optimized PCR-RFLP assay was further used to screen MBT materials in 153 traditional Chinese medicines of 17 different brands and 62 of them were found MBT positive; wherein the ingredients were not declared in product labels. Overall, the novel assay demonstrated sufficient merit for use in any forensic and/or archaeological authentication of MBT, even under a state of decomposition.
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