Comparative Analysis and Determination of the Fatty Acid Composition of Kazakhstan’s Commercial Vegetable Oils by GC-FID
Here, we present the results of analyzing the fatty acid composition of the main edible vegetable oils from Kazakhstani oilseed producers (safflower, sunflower, maize (corn), linseed, cottonseed, soybean and rapeseed) in comparison with the known fatty acid (FA) composition of specific vegetable oil...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/13/7910 |
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| author | Maxat Toishimanov Meruyet Nurgaliyeva Assiya Serikbayeva Zhulduz Suleimenova Karima Myrzabek Aksholpan Shokan Nurgul Myrzabayeva |
| author_facet | Maxat Toishimanov Meruyet Nurgaliyeva Assiya Serikbayeva Zhulduz Suleimenova Karima Myrzabek Aksholpan Shokan Nurgul Myrzabayeva |
| author_sort | Maxat Toishimanov |
| collection | DOAJ |
| description | Here, we present the results of analyzing the fatty acid composition of the main edible vegetable oils from Kazakhstani oilseed producers (safflower, sunflower, maize (corn), linseed, cottonseed, soybean and rapeseed) in comparison with the known fatty acid (FA) composition of specific vegetable oils complying with the Codex Standard for Named Vegetable Oil (Codex Stan 210-1999). The fatty acid composition of 35 different vegetable oils was analyzed by gas chromatography with a Shimadzu GC-2010 Plus instrument with flame ionization detection using a high-polarity CP-Sil 2560, which allowed us to establish their authenticity for high accuracy and excellent separation. A comparative study of the fatty acid composition, groups and omega-6/omega-3 ratios in seven different vegetable oils was carried out. Subsequently, the data were processed by hierarchical clustering analysis, principal component analysis, artificial neural network and Pearson’s correlation. Artificial neural network analysis demonstrated correct predictions. Principal component analysis showed the effects of oleic, linoleic and α-linolenic acids to vegetable oils classification. |
| first_indexed | 2024-03-11T01:46:08Z |
| format | Article |
| id | doaj.art-6713c7fe22584351a011d4ba589e7c4a |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T01:46:08Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-6713c7fe22584351a011d4ba589e7c4a2023-11-18T16:13:12ZengMDPI AGApplied Sciences2076-34172023-07-011313791010.3390/app13137910Comparative Analysis and Determination of the Fatty Acid Composition of Kazakhstan’s Commercial Vegetable Oils by GC-FIDMaxat Toishimanov0Meruyet Nurgaliyeva1Assiya Serikbayeva2Zhulduz Suleimenova3Karima Myrzabek4Aksholpan Shokan5Nurgul Myrzabayeva6Kazakh National Agrarian Research University, Almaty 050010, KazakhstanKazakh Scientific Research Veterinary Institute, Almaty 050016, KazakhstanKazakh National Agrarian Research University, Almaty 050010, KazakhstanKazakh National Agrarian Research University, Almaty 050010, KazakhstanKazakh National Agrarian Research University, Almaty 050010, KazakhstanAl-Farabi Kazakh National University, Almaty 050040, KazakhstanKazakh National Agrarian Research University, Almaty 050010, KazakhstanHere, we present the results of analyzing the fatty acid composition of the main edible vegetable oils from Kazakhstani oilseed producers (safflower, sunflower, maize (corn), linseed, cottonseed, soybean and rapeseed) in comparison with the known fatty acid (FA) composition of specific vegetable oils complying with the Codex Standard for Named Vegetable Oil (Codex Stan 210-1999). The fatty acid composition of 35 different vegetable oils was analyzed by gas chromatography with a Shimadzu GC-2010 Plus instrument with flame ionization detection using a high-polarity CP-Sil 2560, which allowed us to establish their authenticity for high accuracy and excellent separation. A comparative study of the fatty acid composition, groups and omega-6/omega-3 ratios in seven different vegetable oils was carried out. Subsequently, the data were processed by hierarchical clustering analysis, principal component analysis, artificial neural network and Pearson’s correlation. Artificial neural network analysis demonstrated correct predictions. Principal component analysis showed the effects of oleic, linoleic and α-linolenic acids to vegetable oils classification.https://www.mdpi.com/2076-3417/13/13/7910vegetable oilauthenticityfatty acidgas chromatographyvalidationKazakhstan |
| spellingShingle | Maxat Toishimanov Meruyet Nurgaliyeva Assiya Serikbayeva Zhulduz Suleimenova Karima Myrzabek Aksholpan Shokan Nurgul Myrzabayeva Comparative Analysis and Determination of the Fatty Acid Composition of Kazakhstan’s Commercial Vegetable Oils by GC-FID Applied Sciences vegetable oil authenticity fatty acid gas chromatography validation Kazakhstan |
| title | Comparative Analysis and Determination of the Fatty Acid Composition of Kazakhstan’s Commercial Vegetable Oils by GC-FID |
| title_full | Comparative Analysis and Determination of the Fatty Acid Composition of Kazakhstan’s Commercial Vegetable Oils by GC-FID |
| title_fullStr | Comparative Analysis and Determination of the Fatty Acid Composition of Kazakhstan’s Commercial Vegetable Oils by GC-FID |
| title_full_unstemmed | Comparative Analysis and Determination of the Fatty Acid Composition of Kazakhstan’s Commercial Vegetable Oils by GC-FID |
| title_short | Comparative Analysis and Determination of the Fatty Acid Composition of Kazakhstan’s Commercial Vegetable Oils by GC-FID |
| title_sort | comparative analysis and determination of the fatty acid composition of kazakhstan s commercial vegetable oils by gc fid |
| topic | vegetable oil authenticity fatty acid gas chromatography validation Kazakhstan |
| url | https://www.mdpi.com/2076-3417/13/13/7910 |
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