Recovery of Polyunsaturated Fatty Acids Rich Extracts from European Carp Viscera Using Supercritical Carbon Dioxide: Artificial Neural Network Modelling
Applying green engineering principles to conventional fish processing bio-waste (viscera matrixes) suggests its reconsideration as a secondary raw material rich in highly valued polyunsaturated omega-3 and omega-6 fatty acids. Supercritical fluid carbon dioxide extraction was introduced as a separat...
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SDEWES Centre
2025-03-01
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| Series: | Journal of Sustainable Development of Energy, Water and Environment Systems |
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| author | Stefan Kuvendziev Kiril Lisichkov Isidora Dimitrievska Martin Stojchevski Mirko Marinkovski Goran Nachevski Zoran Zeković Snežana Filip |
| author_facet | Stefan Kuvendziev Kiril Lisichkov Isidora Dimitrievska Martin Stojchevski Mirko Marinkovski Goran Nachevski Zoran Zeković Snežana Filip |
| author_sort | Stefan Kuvendziev |
| collection | DOAJ |
| description | Applying green engineering principles to conventional fish processing bio-waste (viscera matrixes) suggests its reconsideration as a secondary raw material rich in highly valued polyunsaturated omega-3 and omega-6 fatty acids. Supercritical fluid carbon dioxide extraction was introduced as a separation technique with a minimal ecological footprint. The operating variables of the extraction process were set at 20, 30, 35, and 40 MPa; 313, 323, and 333 K; and 3.23, 4.62, and 5.9 g CO2/min. The artificial neural network model was designed based on the investigated output − polyunsaturated fatty acids' solubility in supercritical carbon dioxide employing the backpropagation training algorithm with the proposed 3-10-1 architecture. The model provided high accuracy (r = 0.9905), and the resulting three-dimensional space depicted the omega-3 and omega-6 solubility. The maximum yield of the total extract, 0.52 g/g freeze-dried product, was achieved at 40 MPa and 333 K. |
| format | Article |
| id | doaj-art-ca472522bcac4d8ca20a5811b7cd183f |
| institution | OA Journals |
| issn | 1848-9257 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | SDEWES Centre |
| record_format | Article |
| series | Journal of Sustainable Development of Energy, Water and Environment Systems |
| spelling | doaj-art-ca472522bcac4d8ca20a5811b7cd183f2025-08-20T02:06:27ZengSDEWES CentreJournal of Sustainable Development of Energy, Water and Environment Systems1848-92572025-03-0113111610.13044/j.sdewes.d13.05401130540Recovery of Polyunsaturated Fatty Acids Rich Extracts from European Carp Viscera Using Supercritical Carbon Dioxide: Artificial Neural Network ModellingStefan Kuvendziev0Kiril Lisichkov1Isidora Dimitrievska2Martin Stojchevski3Mirko Marinkovski4Goran Nachevski5Zoran Zeković6Snežana Filip7 University Ss. Cyril and Methodius, Faculty of Technology and Metallurgy in Skopje, Skopje, North Macedonia Faculty of Technology and Metallurgy, Ss. Cyril and Methodius University, Skopje, North Macedonia University Ss. Cyril and Methodius, Faculty of Technology and Metallurgy in Skopje, Skopje, North Macedonia University Ss. Cyril and Methodius, Faculty of Technology and Metallurgy in Skopje, Skopje, North Macedonia University Ss. Cyril and Methodius, Faculty of Technology and Metallurgy in Skopje, Skopje, North Macedonia University Ss. Cyril and Methodius, Faculty of Technology and Metallurgy in Skopje, Skopje, North Macedonia University of Novi Sad, Faculty of Technology, Novi Sad, Serbia University of Novi Sad, Technical faculty Applying green engineering principles to conventional fish processing bio-waste (viscera matrixes) suggests its reconsideration as a secondary raw material rich in highly valued polyunsaturated omega-3 and omega-6 fatty acids. Supercritical fluid carbon dioxide extraction was introduced as a separation technique with a minimal ecological footprint. The operating variables of the extraction process were set at 20, 30, 35, and 40 MPa; 313, 323, and 333 K; and 3.23, 4.62, and 5.9 g CO2/min. The artificial neural network model was designed based on the investigated output − polyunsaturated fatty acids' solubility in supercritical carbon dioxide employing the backpropagation training algorithm with the proposed 3-10-1 architecture. The model provided high accuracy (r = 0.9905), and the resulting three-dimensional space depicted the omega-3 and omega-6 solubility. The maximum yield of the total extract, 0.52 g/g freeze-dried product, was achieved at 40 MPa and 333 K. http://www.sdewes.org/jsdewes/pid13.0540 european carp viscera; polyunsaturated fatty acids’ solubility; supercritical fluid carbon dioxide extraction; feed-forward artificial neural network modelling. |
| spellingShingle | Stefan Kuvendziev Kiril Lisichkov Isidora Dimitrievska Martin Stojchevski Mirko Marinkovski Goran Nachevski Zoran Zeković Snežana Filip Recovery of Polyunsaturated Fatty Acids Rich Extracts from European Carp Viscera Using Supercritical Carbon Dioxide: Artificial Neural Network Modelling Journal of Sustainable Development of Energy, Water and Environment Systems european carp viscera; polyunsaturated fatty acids’ solubility; supercritical fluid carbon dioxide extraction; feed-forward artificial neural network modelling. |
| title | Recovery of Polyunsaturated Fatty Acids Rich Extracts from European Carp Viscera Using Supercritical Carbon Dioxide: Artificial Neural Network Modelling |
| title_full | Recovery of Polyunsaturated Fatty Acids Rich Extracts from European Carp Viscera Using Supercritical Carbon Dioxide: Artificial Neural Network Modelling |
| title_fullStr | Recovery of Polyunsaturated Fatty Acids Rich Extracts from European Carp Viscera Using Supercritical Carbon Dioxide: Artificial Neural Network Modelling |
| title_full_unstemmed | Recovery of Polyunsaturated Fatty Acids Rich Extracts from European Carp Viscera Using Supercritical Carbon Dioxide: Artificial Neural Network Modelling |
| title_short | Recovery of Polyunsaturated Fatty Acids Rich Extracts from European Carp Viscera Using Supercritical Carbon Dioxide: Artificial Neural Network Modelling |
| title_sort | recovery of polyunsaturated fatty acids rich extracts from european carp viscera using supercritical carbon dioxide artificial neural network modelling |
| topic | european carp viscera; polyunsaturated fatty acids’ solubility; supercritical fluid carbon dioxide extraction; feed-forward artificial neural network modelling. |
| url |
http://www.sdewes.org/jsdewes/pid13.0540
|
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