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Mortas M, Awad N, Ayvaz H. Adulteration detection technologies used for halal/kosher food products: an overview. DISCOVER FOOD 2022. [PMCID: PMC9020560 DOI: 10.1007/s44187-022-00015-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
AbstractIn the Islamic and Jewish religions, there are various restrictions that should be followed in order for food products to be acceptable. Some food items like pork or dog meat are banned to be consumed by the followers of the mentioned religions. However, illegally, some food producers in various countries use either the meat or the fat of the banned animals during food production without being mentioned in the label on the final products, and this considers as food adulteration. Nowadays, halal or kosher labeled food products have a high economic value, therefore deceiving the consumers by producing adulterated food is an illegal business that could make large gains. On the other hand, there is an insistent need from the consumers for getting reliable products that comply with their conditions. One of the main challenges is that the detection of food adulteration and the presence of any of the banned ingredients is usually unnoticeable and cannot be determined by the naked eye. As a result, scientists strove to develop very sensitive and precise analytical techniques. The most widely utilized techniques for the detection and determination of halal/kosher food adulterations can be listed as High-Pressure Liquid Chromatography (HPLC), Capillary Electrophoresis (CE), Gas Chromatography (GC), Electronic Nose (EN), Polymerase Chain Reaction (PCR), Enzyme-linked Immuno Sorbent Assay (ELISA), Differential Scanning Calorimetry (DSC), Nuclear Magnetic Resonance (NMR), Near-infrared (NIR) Spectroscopy, Laser-induced Breakdown Spectroscopy (LIBS), Fluorescent Light Spectroscopy, Fourier Transform Infrared (FTIR) Spectroscopy and Raman Spectroscopy (RS). All of the above-mentioned techniques were evaluated in terms of their detection capabilities, equipment and analysis costs, accuracy, mobility, and needed sample volume. As a result, the main purposes of the present review are to identify the most often used detection approaches and to get a better knowledge of the existing halal/kosher detection methods from a literature perspective.
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Affiliation(s)
- Mustafa Mortas
- Department Food Engineering, Faculty of Engineering, Ondokuz Mayıs University, Samsun, 55139 Turkey
- Department of Food Science and Technology, The Ohio State University, 110 Parker Food Science and Technology Building, 2015 Fyffe Road, Columbus, OH 43210 USA
| | - Nour Awad
- Department Food Engineering, Faculty of Engineering, Ondokuz Mayıs University, Samsun, 55139 Turkey
| | - Huseyin Ayvaz
- Department of Food Science and Technology, The Ohio State University, 110 Parker Food Science and Technology Building, 2015 Fyffe Road, Columbus, OH 43210 USA
- Department of Food Engineering, Faculty of Engineering, Canakkale Onsekiz Mart University, Canakkale, 17100 Turkey
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Druml B, Uhlig S, Simon K, Frost K, Hettwer K, Cichna-Markl M, Hochegger R. Real-Time PCR Assay for the Detection and Quantification of Roe Deer to Detect Food Adulteration-Interlaboratory Validation Involving Laboratories in Austria, Germany, and Switzerland. Foods 2021; 10:foods10112645. [PMID: 34828926 PMCID: PMC8623729 DOI: 10.3390/foods10112645] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 10/25/2021] [Accepted: 10/26/2021] [Indexed: 11/16/2022] Open
Abstract
Game meat products are particularly prone to be adulterated by replacing game meat with cheaper meat species. Recently, we have presented a real-time polymerase chain reaction (PCR) assay for the identification and quantification of roe deer in food. Quantification of the roe deer content in % (w/w) was achieved relatively by subjecting the DNA isolates to a reference real-time PCR assay in addition to the real-time PCR assay for roe deer. Aiming at harmonizing analytical methods for food authentication across EU Member States, the real-time PCR assay for roe deer has been tested in an interlaboratory ring trial including 14 laboratories from Austria, Germany, and Switzerland. Participating laboratories obtained aliquots of DNA isolates from a meat mixture containing 24.8% (w/w) roe deer in pork, roe deer meat, and 12 meat samples whose roe deer content was not disclosed. Performance characteristics included amplification efficiency, level of detection (LOD95%), repeatability, reproducibility, and accuracy of quantitative results. With a relative reproducibility standard deviation ranging from 13.35 to 25.08% (after outlier removal) and recoveries ranging from 84.4 to 114.3%, the real-time PCR assay was found to be applicable for the detection and quantification of roe deer in raw meat samples to detect food adulteration.
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Affiliation(s)
- Barbara Druml
- Department of Molecular Biology and Microbiology, Institute for Food Safety Vienna, Austrian Agency for Health and Food Safety (AGES), Spargelfeldstraße 191, 1220 Vienna, Austria;
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Straße 38, 1090 Vienna, Austria
| | - Steffen Uhlig
- QuoData GmbH, Prellerstraße 14, 01309 Dresden, Germany; (S.U.); (K.S.); (K.F.); (K.H.)
| | - Kirsten Simon
- QuoData GmbH, Prellerstraße 14, 01309 Dresden, Germany; (S.U.); (K.S.); (K.F.); (K.H.)
| | - Kirstin Frost
- QuoData GmbH, Prellerstraße 14, 01309 Dresden, Germany; (S.U.); (K.S.); (K.F.); (K.H.)
| | - Karina Hettwer
- QuoData GmbH, Prellerstraße 14, 01309 Dresden, Germany; (S.U.); (K.S.); (K.F.); (K.H.)
| | - Margit Cichna-Markl
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Straße 38, 1090 Vienna, Austria
- Correspondence: (M.C.-M.); (R.H.)
| | - Rupert Hochegger
- Department of Molecular Biology and Microbiology, Institute for Food Safety Vienna, Austrian Agency for Health and Food Safety (AGES), Spargelfeldstraße 191, 1220 Vienna, Austria;
- Correspondence: (M.C.-M.); (R.H.)
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Villanueva‐Zayas JD, Rodríguez‐Ramírez R, Ávila‐Villa LA, González‐Córdova AF, Reyes‐López MÁ, Hernández‐Sierra D, los Santos‐Villalobos S. Using a COI mini‐barcode and real‐time PCR (qPCR) for sea turtle identification in processed food. J FOOD PROCESS PRES 2021. [DOI: 10.1111/jfpp.15808] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Jesús Daniel Villanueva‐Zayas
- Laboratorio de Biotecnología y Trazabilidad Molecular de los Alimentos Instituto Tecnológico de Sonora 5 de Febrero 818 Sur. colonia centro Ciudad Obregon Sonora85000Mexico
| | - Roberto Rodríguez‐Ramírez
- Laboratorio de Biotecnología y Trazabilidad Molecular de los Alimentos Instituto Tecnológico de Sonora 5 de Febrero 818 Sur. colonia centro Ciudad Obregon Sonora85000Mexico
| | - Luz Angélica Ávila‐Villa
- Departamento de Ciencias de la Salud Universidad de Sonora Blvd. Bordo Nuevo s/n Ciudad Obregon Sonora85040Mexico
| | - Aarón F. González‐Córdova
- Laboratorio de Calidad, Autenticidad y Trazabilidad de los Alimentos Centro de Investigación en Alimentación y Desarrollo A.C. (CIAD) Carrtera Gustavo Enrique Astiazarán Rosas No. 46. Colonia La Victoria Hermosillo Sonora83304Mexico
| | - Miguel Ángel Reyes‐López
- Centro de Biotecnología Genómica Instituto Politécnico Nacional Blvrd del Maestro SN, Narciso Mendoza Reynosa Tamaulipas88710Mexico
| | - Daniel Hernández‐Sierra
- Laboratorio de Biotecnología y Trazabilidad Molecular de los Alimentos Instituto Tecnológico de Sonora 5 de Febrero 818 Sur. colonia centro Ciudad Obregon Sonora85000Mexico
| | - Sergio los Santos‐Villalobos
- Laboratorio de Biotecnología y Trazabilidad Molecular de los Alimentos Instituto Tecnológico de Sonora 5 de Febrero 818 Sur. colonia centro Ciudad Obregon Sonora85000Mexico
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Species Identification of Red Deer ( Cervus elaphus), Roe Deer ( Capreolus capreolus), and Water Deer ( Hydropotes inermis) Using Capillary Electrophoresis-Based Multiplex PCR. Foods 2020; 9:foods9080982. [PMID: 32718080 PMCID: PMC7466337 DOI: 10.3390/foods9080982] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 07/22/2020] [Accepted: 07/22/2020] [Indexed: 12/26/2022] Open
Abstract
To provide consumers correct information on meat species, specific and sensitive detection methods are needed. Thus, we developed a capillary electrophoresis-based multiplex PCR assay to simultaneously detect red deer (Cervus elaphus), roe deer (Capreolus capreolus), and water deer (Hydropotes inermis). Specific primer sets for these three species were newly designed. Each primer set only amplified target species without any reactivity against non-target species. To identify multiple targets in a single reaction, multiplex PCR was optimized and combined with capillary electrophoresis to increase resolution and accuracy for the detection of multiple targets. The detection levels of this assay were 0.1 pg for red deer and roe deer and 1 pg for water deer. In addition, its applicability was demonstrated using various concentrations of meat DNA mixtures. Consequently, as low as 0.1% of the target species was detectable using the developed method. This capillary electrophoresis-based multiplex PCR assay for simultaneous detection of three types of deer meat could authenticate deer species labeled on products, thus protecting consumers from meat adulteration.
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Köppel R, van Velsen F, Ganeshan A, Pietsch K, Weber S, Graf C, Murmann P, Hochegger R, Licina A. Multiplex real-time PCR for the detection and quantification of DNA from chamois, roe, deer, pork and beef. Eur Food Res Technol 2020. [DOI: 10.1007/s00217-020-03468-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Prandi B, Lambertini F, Faccini A, Suman M, Leporati A, Tedeschi T, Sforza S. Mass spectrometry quantification of beef and pork meat in highly processed food: Application on Bolognese sauce. Food Control 2017. [DOI: 10.1016/j.foodcont.2016.11.032] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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Druml B, Kaltenbrunner M, Hochegger R, Cichna-Markl M. A novel reference real-time PCR assay for the relative quantification of (game) meat species in raw and heat-processed food. Food Control 2016. [DOI: 10.1016/j.foodcont.2016.05.055] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Rahmati S, Julkapli NM, Yehye WA, Basirun WJ. Identification of meat origin in food products–A review. Food Control 2016. [DOI: 10.1016/j.foodcont.2016.04.013] [Citation(s) in RCA: 76] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Duplex real-time PCR assay for the simultaneous determination of the roe deer (Capreolus capreolus) and deer (sum of fallow deer, red deer and sika deer) content in game meat products. Food Control 2015. [DOI: 10.1016/j.foodcont.2015.04.023] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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