RSM and ANN-based optimized ultrasound-assisted extraction of functional components from olive fruit (cv Arbequina): assessment of antioxidant attributes and GC-MS metabolites profiling
The current study devises an optimized ethanolic extraction for efficient recovery of high-value components from Pakistani olives (cv. Arbequina) using response surface methodology (RSM) and artificial neural networking (ANN). Four factors such as time, temperature, solvent concentration, and solute...
| Main Authors: | , , , , , |
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| Format: | Article |
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John Wiley and Sons
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/114889/ |
| _version_ | 1848866625874296832 |
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| author | Ali, Liaqat Anwar, Farooq Qadir, Rahman Batool, Fozia Mustaqeem, Muhammad Mohsin Ali, Rana |
| author_facet | Ali, Liaqat Anwar, Farooq Qadir, Rahman Batool, Fozia Mustaqeem, Muhammad Mohsin Ali, Rana |
| author_sort | Ali, Liaqat |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The current study devises an optimized ethanolic extraction for efficient recovery of high-value components from Pakistani olives (cv. Arbequina) using response surface methodology (RSM) and artificial neural networking (ANN). Four factors such as time, temperature, solvent concentration, and solute weight (g/100 mL) were evaluated as independent variables for determining the response (% yield). The results obtained under optimum extraction conditions such as duration (25 min), temperature (45 °C), solvent concentration (65 %; ethanol: water v/v), and solute (7.50 g/100 mL) offered bioactives extract yield of 40.96 % from Arbiquina olives. The analysis of variance (ANOVA) for the RSM model showed significant p-values and a correlation coefficient (R2) of 0.9960, confirming model's reliability. The results of ANN, which employed the multilayer perceptron design, were fairly in line with the findings of the experiments. The antioxidant characteristics and GC-MS metabolite profile of the obtained extracts were examined. Arbequina olive extract (AOE) demonstrated very good antioxidant ability in terms of total phenolic, total flavonoid contents, and DPPH radical scavenging. The GC-MS analysis of AOE confirmed the presence of several bioactives, including oleic acid (36.22 %), hydroxytyrosol (3.95 %), tyrosol (3.32 %), β-sitosterol (2.10 %), squalene (1.10 %), sinapic acid (0.67 %), α-tocopherol (0.66 %), vanillic acid (0.56 %), 3,5-di-tert-butylcatechol (0.31 %), and quercetin (0.21 %). The suggested optimized extraction method can be employed to efficiently extract a wide variety of high-value components from olives with potential for nutraceutical applications. |
| first_indexed | 2025-11-15T14:23:35Z |
| format | Article |
| id | upm-114889 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T14:23:35Z |
| publishDate | 2024 |
| publisher | John Wiley and Sons |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1148892025-02-07T02:01:21Z http://psasir.upm.edu.my/id/eprint/114889/ RSM and ANN-based optimized ultrasound-assisted extraction of functional components from olive fruit (cv Arbequina): assessment of antioxidant attributes and GC-MS metabolites profiling Ali, Liaqat Anwar, Farooq Qadir, Rahman Batool, Fozia Mustaqeem, Muhammad Mohsin Ali, Rana The current study devises an optimized ethanolic extraction for efficient recovery of high-value components from Pakistani olives (cv. Arbequina) using response surface methodology (RSM) and artificial neural networking (ANN). Four factors such as time, temperature, solvent concentration, and solute weight (g/100 mL) were evaluated as independent variables for determining the response (% yield). The results obtained under optimum extraction conditions such as duration (25 min), temperature (45 °C), solvent concentration (65 %; ethanol: water v/v), and solute (7.50 g/100 mL) offered bioactives extract yield of 40.96 % from Arbiquina olives. The analysis of variance (ANOVA) for the RSM model showed significant p-values and a correlation coefficient (R2) of 0.9960, confirming model's reliability. The results of ANN, which employed the multilayer perceptron design, were fairly in line with the findings of the experiments. The antioxidant characteristics and GC-MS metabolite profile of the obtained extracts were examined. Arbequina olive extract (AOE) demonstrated very good antioxidant ability in terms of total phenolic, total flavonoid contents, and DPPH radical scavenging. The GC-MS analysis of AOE confirmed the presence of several bioactives, including oleic acid (36.22 %), hydroxytyrosol (3.95 %), tyrosol (3.32 %), β-sitosterol (2.10 %), squalene (1.10 %), sinapic acid (0.67 %), α-tocopherol (0.66 %), vanillic acid (0.56 %), 3,5-di-tert-butylcatechol (0.31 %), and quercetin (0.21 %). The suggested optimized extraction method can be employed to efficiently extract a wide variety of high-value components from olives with potential for nutraceutical applications. John Wiley and Sons 2024-07-12 Article PeerReviewed Ali, Liaqat and Anwar, Farooq and Qadir, Rahman and Batool, Fozia and Mustaqeem, Muhammad and Mohsin Ali, Rana (2024) RSM and ANN-based optimized ultrasound-assisted extraction of functional components from olive fruit (cv Arbequina): assessment of antioxidant attributes and GC-MS metabolites profiling. Chemistry and Biodiversity, 21 (10). art. no. e202400907. ISSN 1612-1872; eISSN: 1612-1880 https://onlinelibrary.wiley.com/doi/10.1002/cbdv.202400907 10.1002/cbdv.202400907 |
| spellingShingle | Ali, Liaqat Anwar, Farooq Qadir, Rahman Batool, Fozia Mustaqeem, Muhammad Mohsin Ali, Rana RSM and ANN-based optimized ultrasound-assisted extraction of functional components from olive fruit (cv Arbequina): assessment of antioxidant attributes and GC-MS metabolites profiling |
| title | RSM and ANN-based optimized ultrasound-assisted extraction of functional components from olive fruit (cv Arbequina): assessment of antioxidant attributes and GC-MS metabolites profiling |
| title_full | RSM and ANN-based optimized ultrasound-assisted extraction of functional components from olive fruit (cv Arbequina): assessment of antioxidant attributes and GC-MS metabolites profiling |
| title_fullStr | RSM and ANN-based optimized ultrasound-assisted extraction of functional components from olive fruit (cv Arbequina): assessment of antioxidant attributes and GC-MS metabolites profiling |
| title_full_unstemmed | RSM and ANN-based optimized ultrasound-assisted extraction of functional components from olive fruit (cv Arbequina): assessment of antioxidant attributes and GC-MS metabolites profiling |
| title_short | RSM and ANN-based optimized ultrasound-assisted extraction of functional components from olive fruit (cv Arbequina): assessment of antioxidant attributes and GC-MS metabolites profiling |
| title_sort | rsm and ann-based optimized ultrasound-assisted extraction of functional components from olive fruit (cv arbequina): assessment of antioxidant attributes and gc-ms metabolites profiling |
| url | http://psasir.upm.edu.my/id/eprint/114889/ http://psasir.upm.edu.my/id/eprint/114889/ http://psasir.upm.edu.my/id/eprint/114889/ |