VLADIMÍR, Mašán, Arkadiusz P. MATWIJCZUK, Agnieszka NIEMCZYNOWICZ, Radoslaw Antoni KYCIA, Dariusz KARCZ, Bożena GLADYSZEWSKA, Lidia SLUSARCZYK a Patrik BURG. Chemometric approach to characterization of the selected grape seed oils based on their fatty acids composition and FTIR spectroscopy. Nature Scientific Reports. Nature Research, 2021, roč. 11, č. 1, s. 1-13. ISSN 2045-2322. Dostupné z: https://dx.doi.org/10.1038/s41598-021-98763-6.
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Základní údaje
Originální název Chemometric approach to characterization of the selected grape seed oils based on their fatty acids composition and FTIR spectroscopy
Autoři VLADIMÍR, Mašán, Arkadiusz P. MATWIJCZUK, Agnieszka NIEMCZYNOWICZ, Radoslaw Antoni KYCIA (616 Polsko, garant, domácí), Dariusz KARCZ, Bożena GLADYSZEWSKA, Lidia SLUSARCZYK a Patrik BURG.
Vydání Nature Scientific Reports, Nature Research, 2021, 2045-2322.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor 40106 Agronomy, plant breeding and plant protection;
Stát vydavatele Německo
Utajení není předmětem státního či obchodního tajemství
WWW URL
Impakt faktor Impact factor: 4.996
Kód RIV RIV/00216224:14310/21:00122664
Organizační jednotka Přírodovědecká fakulta
Doi http://dx.doi.org/10.1038/s41598-021-98763-6
UT WoS 000701575500065
Klíčová slova anglicky quality control method; grape seed; seed oil; food quality control; spectroscopy
Štítky rivok
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: Mgr. Marie Šípková, DiS., učo 437722. Změněno: 21. 4. 2022 13:02.
Anotace
Addressing the issues arising from the production and trade of low-quality foods necessitates developing new quality control methods. Cooking oils, especially those produced from the grape seeds, are an example of food products that often suffer from questionable quality due to various adulterations and low-quality fruits used for their production. Among many methods allowing for fast and efficient food quality control, the combination of experimental and advanced mathematical approaches seems most reliable. In this work a method for grape seed oils compositional characterization based on the infrared (FTIR) spectroscopy and fatty acids profile is reported. Also, the relevant parameters of oils are characterized using a combination of standard techniques such as the Principal Component Analysis, k-Means, and Gaussian Mixture Model (GMM) fitting parameters. Two different approaches to perform unsupervised clustering using GMM were investigated. The first approach relies on the profile of fatty acids, while the second is FT-IR spectroscopy-based. The GMM fitting parameters in both approaches were compared. The results obtained from both approaches are consistent and complementary and provide the tools to address the characterization and clustering issues in grape seed oils.
Návaznosti
MUNI/A/0885/2019, interní kód MUNázev: Matematické struktury 9 (Akronym: Matematické struktury 9)
Investor: Masarykova univerzita, Matematické struktury 9, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty
VytisknoutZobrazeno: 24. 7. 2024 05:17