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Quantification of the percentage proportion of individual animal species in meat products by multiplex qPCR and digital PCR

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027162%3A_____%2F23%3AN0000102" target="_blank" >RIV/00027162:_____/23:N0000102 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/67985904:_____/23:00576045 RIV/62157124:16270/23:43880779

  • Výsledek na webu

    <a href="https://www.sciencedirect.com/science/article/pii/S0956713523004243?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0956713523004243?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.foodcont.2023.110024" target="_blank" >10.1016/j.foodcont.2023.110024</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Quantification of the percentage proportion of individual animal species in meat products by multiplex qPCR and digital PCR

  • Popis výsledku v původním jazyce

    Determining the composition of food and verifying the manufacturer’s declaration continues to represent a methodological challenge. Various methods based on the analysis of proteins (peptides), chemical examination or even DNA detection fail to analyze a complex sample composed of more than one species. Since manufacturers declare the composition of products in percentage weight, the problem for all analytical methods is to determine the 100% muscle and fat tissues containing different amounts of DNA, as water or ice do not contain any DNA. The aim of this study was, therefore, to investigate the possibility of quantifying the percentage of the dominant meat species (pork, chicken and beef) in samples of 2- and 3-component mixtures and in meat products. Two different calculation methods were applied to qPCR and it was shown that a calibration curve is not necessarily required for composition evaluation. Comparison of qPCR and ddPCR showed that these two methods provide comparable data with a low level of discrepancy. The data obtained by qPCR and ddPCR were compared with each other and with the theoretical number of genomic copies. The study showed that the percentage of meat constituents in products with high muscle content can be quantified with high confidence even without taking the heat treatment into account. It was, however, shown that fat can negatively affect the calculation of component proportions and complicate the interpretation of the data.

  • Název v anglickém jazyce

    Quantification of the percentage proportion of individual animal species in meat products by multiplex qPCR and digital PCR

  • Popis výsledku anglicky

    Determining the composition of food and verifying the manufacturer’s declaration continues to represent a methodological challenge. Various methods based on the analysis of proteins (peptides), chemical examination or even DNA detection fail to analyze a complex sample composed of more than one species. Since manufacturers declare the composition of products in percentage weight, the problem for all analytical methods is to determine the 100% muscle and fat tissues containing different amounts of DNA, as water or ice do not contain any DNA. The aim of this study was, therefore, to investigate the possibility of quantifying the percentage of the dominant meat species (pork, chicken and beef) in samples of 2- and 3-component mixtures and in meat products. Two different calculation methods were applied to qPCR and it was shown that a calibration curve is not necessarily required for composition evaluation. Comparison of qPCR and ddPCR showed that these two methods provide comparable data with a low level of discrepancy. The data obtained by qPCR and ddPCR were compared with each other and with the theoretical number of genomic copies. The study showed that the percentage of meat constituents in products with high muscle content can be quantified with high confidence even without taking the heat treatment into account. It was, however, shown that fat can negatively affect the calculation of component proportions and complicate the interpretation of the data.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    40301 - Veterinary science

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/QJ1530107" target="_blank" >QJ1530107: Metody pro identifikaci, sledovatelnost a ověřování autenticity potravin a krmiv s komponenty živočišného původu</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2023

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Food Control

  • ISSN

    0956-7135

  • e-ISSN

    1873-7129

  • Svazek periodika

    154

  • Číslo periodika v rámci svazku

    December 2023

  • Stát vydavatele periodika

    GB - Spojené království Velké Británie a Severního Irska

  • Počet stran výsledku

    10

  • Strana od-do

  • Kód UT WoS článku

    999

  • EID výsledku v databázi Scopus

    2-s2.0-85167818278