Boosting <i>Purnica granatum</i> L. Seed Oil Yield: An Adaptive Neuro-Fuzzy Interference System Fuels SC-CO<sub>2</sub> Extraction Breakthrough
This study used supercritical fluid extraction to successfully enhance the conditions for extracting oil from pomegranate seeds. To determine the optimal extraction conditions for maximizing pomegranate oil yield, the researchers employed a Box–Behnken design experimental strategy, involving three p...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Foods |
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| Online Access: | https://www.mdpi.com/2304-8158/13/1/161 |
| _version_ | 1797358815921831936 |
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| author | Padej Pao-la-or Boonruang Marungsri Pornariya Chirinang Kakanang Posridee Ratchadaporn Oonsivilai Anant Oonsivilai |
| author_facet | Padej Pao-la-or Boonruang Marungsri Pornariya Chirinang Kakanang Posridee Ratchadaporn Oonsivilai Anant Oonsivilai |
| author_sort | Padej Pao-la-or |
| collection | DOAJ |
| description | This study used supercritical fluid extraction to successfully enhance the conditions for extracting oil from pomegranate seeds. To determine the optimal extraction conditions for maximizing pomegranate oil yield, the researchers employed a Box–Behnken design experimental strategy, involving three parameters with three levels each: extraction pressure, extraction temperature, and extraction time. To determine the optimal optimization conditions, the Response Surface Method (RSM) and the Artificial Neural Fuzzy Intelligent System (ANFIS) were also used. The results revealed a strong correlation with the experimental data, demonstrating that both strategies were helpful in optimizing the extraction process. The ideal extraction parameters, according to this study, were an extraction pressure of 40 MPa, an extraction temperature of 55 °C, and an extraction time of 120 min with a CO<sub>2</sub> flow rate of 21.3 L/h. |
| first_indexed | 2024-03-08T15:07:43Z |
| format | Article |
| id | doaj.art-b0e017b83019465eb1e7dbac72349745 |
| institution | Directory Open Access Journal |
| issn | 2304-8158 |
| language | English |
| last_indexed | 2024-03-08T15:07:43Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Foods |
| spelling | doaj.art-b0e017b83019465eb1e7dbac723497452024-01-10T14:57:11ZengMDPI AGFoods2304-81582024-01-0113116110.3390/foods13010161Boosting <i>Purnica granatum</i> L. Seed Oil Yield: An Adaptive Neuro-Fuzzy Interference System Fuels SC-CO<sub>2</sub> Extraction BreakthroughPadej Pao-la-or0Boonruang Marungsri1Pornariya Chirinang2Kakanang Posridee3Ratchadaporn Oonsivilai4Anant Oonsivilai5School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, ThailandSchool of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, ThailandApplied Food and Nutrition Division, Faculty of Science and Technology, Phetchaburi Rajabhat University, Phetchaburi 76000, ThailandSchool of Food Technology, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima 30000, ThailandSchool of Food Technology, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima 30000, ThailandSchool of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, ThailandThis study used supercritical fluid extraction to successfully enhance the conditions for extracting oil from pomegranate seeds. To determine the optimal extraction conditions for maximizing pomegranate oil yield, the researchers employed a Box–Behnken design experimental strategy, involving three parameters with three levels each: extraction pressure, extraction temperature, and extraction time. To determine the optimal optimization conditions, the Response Surface Method (RSM) and the Artificial Neural Fuzzy Intelligent System (ANFIS) were also used. The results revealed a strong correlation with the experimental data, demonstrating that both strategies were helpful in optimizing the extraction process. The ideal extraction parameters, according to this study, were an extraction pressure of 40 MPa, an extraction temperature of 55 °C, and an extraction time of 120 min with a CO<sub>2</sub> flow rate of 21.3 L/h.https://www.mdpi.com/2304-8158/13/1/161Box–Behnken designpercentage yieldoilresponse surface methodologyadaptive neuro-fuzzy interference systempomegranate seed |
| spellingShingle | Padej Pao-la-or Boonruang Marungsri Pornariya Chirinang Kakanang Posridee Ratchadaporn Oonsivilai Anant Oonsivilai Boosting <i>Purnica granatum</i> L. Seed Oil Yield: An Adaptive Neuro-Fuzzy Interference System Fuels SC-CO<sub>2</sub> Extraction Breakthrough Foods Box–Behnken design percentage yield oil response surface methodology adaptive neuro-fuzzy interference system pomegranate seed |
| title | Boosting <i>Purnica granatum</i> L. Seed Oil Yield: An Adaptive Neuro-Fuzzy Interference System Fuels SC-CO<sub>2</sub> Extraction Breakthrough |
| title_full | Boosting <i>Purnica granatum</i> L. Seed Oil Yield: An Adaptive Neuro-Fuzzy Interference System Fuels SC-CO<sub>2</sub> Extraction Breakthrough |
| title_fullStr | Boosting <i>Purnica granatum</i> L. Seed Oil Yield: An Adaptive Neuro-Fuzzy Interference System Fuels SC-CO<sub>2</sub> Extraction Breakthrough |
| title_full_unstemmed | Boosting <i>Purnica granatum</i> L. Seed Oil Yield: An Adaptive Neuro-Fuzzy Interference System Fuels SC-CO<sub>2</sub> Extraction Breakthrough |
| title_short | Boosting <i>Purnica granatum</i> L. Seed Oil Yield: An Adaptive Neuro-Fuzzy Interference System Fuels SC-CO<sub>2</sub> Extraction Breakthrough |
| title_sort | boosting i purnica granatum i l seed oil yield an adaptive neuro fuzzy interference system fuels sc co sub 2 sub extraction breakthrough |
| topic | Box–Behnken design percentage yield oil response surface methodology adaptive neuro-fuzzy interference system pomegranate seed |
| url | https://www.mdpi.com/2304-8158/13/1/161 |
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