Identification of individual goat animals by means of near infrared spectroscopy and chemometrics analysis of commercial meat cuts

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027014%3A_____%2F24%3A10005884" target="_blank" >RIV/00027014:_____/24:10005884 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60460709:41210/24:96328

Výsledek na webu

<a href="https://vuzv.cz/_privat/24020.pdf" target="_blank" >https://vuzv.cz/_privat/24020.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s13197-023-05890-1" target="_blank" >10.1007/s13197-023-05890-1</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Identification of individual goat animals by means of near infrared spectroscopy and chemometrics analysis of commercial meat cuts

Popis výsledku v původním jazyce

Although the identification of animal species and muscles have been reported previously, no studies have been found on the use of NIR spectroscopy to identify individual animals from the analysis of commercial meat cuts. The aim of this study was to evaluate the use of a portable near infrared (NIR) instrument combined with classical chemometrics methods [principal component analysis (PCA) and partial least squares discriminant analysis PLS-DA)] to identify the origin of individual goat animals using the spectral signature of their commercial cut. Samples were collected from several carcasses (6 commercial cuts x 24 animals) sourced from a commercial abattoir in Queensland (Australia). The NIR spectra of the samples were collected using a portable NIR instrument in the wavelength range between 950 and 1600 nm. Overall, the PLS-DA models correctly classify 82% and 79% of the individual goat samples using either the goat rack or loin cut samples, respectively. The study demonstrated that NIR spectroscopy was able to identify individual goat animals based on the spectra properties of some of the commercial cut samples analysed (e.g. loin and rack). These results showed the potential of this technique to identify individual animals as an alternative to other laboratory methods and techniques commonly used in meat traceability.

Název v anglickém jazyce

Identification of individual goat animals by means of near infrared spectroscopy and chemometrics analysis of commercial meat cuts

Popis výsledku anglicky

Although the identification of animal species and muscles have been reported previously, no studies have been found on the use of NIR spectroscopy to identify individual animals from the analysis of commercial meat cuts. The aim of this study was to evaluate the use of a portable near infrared (NIR) instrument combined with classical chemometrics methods [principal component analysis (PCA) and partial least squares discriminant analysis PLS-DA)] to identify the origin of individual goat animals using the spectral signature of their commercial cut. Samples were collected from several carcasses (6 commercial cuts x 24 animals) sourced from a commercial abattoir in Queensland (Australia). The NIR spectra of the samples were collected using a portable NIR instrument in the wavelength range between 950 and 1600 nm. Overall, the PLS-DA models correctly classify 82% and 79% of the individual goat samples using either the goat rack or loin cut samples, respectively. The study demonstrated that NIR spectroscopy was able to identify individual goat animals based on the spectra properties of some of the commercial cut samples analysed (e.g. loin and rack). These results showed the potential of this technique to identify individual animals as an alternative to other laboratory methods and techniques commonly used in meat traceability.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

21101 - Food and beverages

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

Journal of Food Science and Technology-Mysore

ISSN

0022-1155

e-ISSN

—

Svazek periodika

61

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

IN - Indická republika

Počet stran výsledku

8

Strana od-do

950-957

Kód UT WoS článku

001099620400001

EID výsledku v databázi Scopus

2-s2.0-85176546488