VLADIMÍR, Mašán, Arkadiusz P. MATWIJCZUK, Agnieszka NIEMCZYNOWICZ, Radoslaw Antoni KYCIA, Dariusz KARCZ, Bożena GLADYSZEWSKA, Lidia SLUSARCZYK and 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, vol. 11, No 1, p. 1-13. ISSN 2045-2322. Available from: https://dx.doi.org/10.1038/s41598-021-98763-6.
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Basic information
Original name Chemometric approach to characterization of the selected grape seed oils based on their fatty acids composition and FTIR spectroscopy
Authors VLADIMÍR, Mašán, Arkadiusz P. MATWIJCZUK, Agnieszka NIEMCZYNOWICZ, Radoslaw Antoni KYCIA (616 Poland, guarantor, belonging to the institution), Dariusz KARCZ, Bożena GLADYSZEWSKA, Lidia SLUSARCZYK and Patrik BURG.
Edition Nature Scientific Reports, Nature Research, 2021, 2045-2322.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 40106 Agronomy, plant breeding and plant protection;
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 4.996
RIV identification code RIV/00216224:14310/21:00122664
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1038/s41598-021-98763-6
UT WoS 000701575500065
Keywords in English quality control method; grape seed; seed oil; food quality control; spectroscopy
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 21/4/2022 13:02.
Abstract
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.
Links
MUNI/A/0885/2019, interní kód MUName: Matematické struktury 9 (Acronym: Matematické struktury 9)
Investor: Masaryk University, Category A
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