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