Quantitative determination of pork meat residue in cattle meat mixtures using droplet digital PCR
dc.authorid | 0000-0003-3610-2706 | |
dc.authorid | 0000-0001-5650-1320 | |
dc.authorid | 0000-0002-4901-9787 | |
dc.authorid | 0000-0001-7419-4221 | |
dc.contributor.author | Milli, Nursel Söylemez | |
dc.contributor.author | Eren, Ömer | |
dc.contributor.author | Bıçakcı Gülsüme | |
dc.contributor.author | Erge, Aydın | |
dc.date.accessioned | 2024-09-25T20:00:01Z | |
dc.date.available | 2024-09-25T20:00:01Z | |
dc.date.issued | 2023 | |
dc.department | BAİBÜ, Rektörlük, Bilimsel Endüstriyel ve Teknolojik Uygulama ve Araştırma Merkezi | en_US |
dc.department | BAİBÜ, Mühendislik Fakültesi, Gıda Mühendisliği Bölümü | |
dc.department | BAİBÜ, Ziraat Fakültesi, Kanatlı Hayvan Yetiştiriciliği Bölümü | |
dc.description.abstract | Meat adulteration is an important economic and social problem worldwide. Therefore, the accurate identification and quantification methods for species substitutions in meat products are needed. In this study, a precise quantitative method was performed to identify the minimum content of pork (Sus scrofa) meat in the mixture of pork: cattle (Sus scrofa :Bos taurus) using the droplet digital Polymerase Chain Reaction (ddPCR) method. Experiments were conducted by using a series of dilutions for heat-treated and raw meat mixtures. The detection limits in DNA fragments of this study were 0.65 copies/mu L for heat-treated and 0.1 copies/mu L for raw meat samples. Based on these results, the sensitivity explaining minimum pork meat in meat mixtures was 0.1% for heat-treated and 0.001% for raw samples. The results showed that the ddPCR method is effective for identifying and quantifying pork meat in meat products and has potential to be applied for other meat species also. | en_US |
dc.description.sponsorship | Scientific Research Projects at BAIB University [2012.09.01.528] | en_US |
dc.description.sponsorship | This work was supported by research grant 2012.09.01.528 from Scientific Research Projects at BAIB University. O. E. was the project coordinator. The authors would like to thank Scientific Industrial and Technological Application and Research Center for using some laboratory opportunities. | en_US |
dc.identifier.doi | 10.34302/crpjfst/2023.15.4.9 | |
dc.identifier.endpage | 125 | en_US |
dc.identifier.issn | 2066-6845 | |
dc.identifier.issn | 2344-5459 | |
dc.identifier.issue | 4 | en_US |
dc.identifier.scopus | 2-s2.0-85188147322 | en_US |
dc.identifier.scopusquality | Q4 | en_US |
dc.identifier.startpage | 113 | en_US |
dc.identifier.uri | https://doi.org/10.34302/crpjfst/2023.15.4.9 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12491/14039 | |
dc.identifier.volume | 15 | en_US |
dc.identifier.wos | WOS:001167418500009 | en_US |
dc.identifier.wosquality | Q4 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.institutionauthor | Milli, Nursel Söylemez | |
dc.institutionauthor | Eren, Ömer | |
dc.institutionauthor | Bıçakcı Gülsüme | |
dc.institutionauthor | Erge, Aydın | |
dc.institutionauthorid | 0000-0003-3610-2706 | |
dc.institutionauthorid | 0000-0001-5650-1320 | |
dc.institutionauthorid | 0000-0002-4901-9787 | |
dc.institutionauthorid | 0000-0001-7419-4221 | |
dc.language.iso | en | en_US |
dc.publisher | North Univ Center Baia Mare | en_US |
dc.relation.ispartof | Carpathian Journal of Food Science And Technology | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.snmz | YK_20240925 | en_US |
dc.subject | Species Identification | en_US |
dc.subject | Droplet Digital PCR | en_US |
dc.subject | Authentication | en_US |
dc.subject | Quantification | en_US |
dc.subject | Pork Meat | en_US |
dc.title | Quantitative determination of pork meat residue in cattle meat mixtures using droplet digital PCR | en_US |
dc.type | Article | en_US |
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