Optimization of ultrasound-assisted oil extraction from Canarium odontophyllum kernel as a novel biodiesel feedstock
Biodiesel; Energy utilization; Fatty acids; Feedstocks; Gas chromatography; Hexane; Ionization of gases; Regression analysis; Transesterification; Ultrasonic applications; Box-Behnken experimental design; Fatty acid composition; Flame ionization detection; Physio-chemical properties; Pretreatment pr...
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2023
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my.uniten.dspace-262902023-05-29T17:08:46Z Optimization of ultrasound-assisted oil extraction from Canarium odontophyllum kernel as a novel biodiesel feedstock Ideris F. Shamsuddin A.H. Nomanbhay S. Kusumo F. Silitonga A.S. Ong M.Y. Ong H.C. Mahlia T.M.I. 7801415444 35779071900 22135844300 56611974900 39262559400 57191970824 55310784800 56997615100 Biodiesel; Energy utilization; Fatty acids; Feedstocks; Gas chromatography; Hexane; Ionization of gases; Regression analysis; Transesterification; Ultrasonic applications; Box-Behnken experimental design; Fatty acid composition; Flame ionization detection; Physio-chemical properties; Pretreatment process; Response surface methodology; Transesterification process; Ultrasound-assisted extraction; Extraction In this novel study, oil was extracted from the kernel of an exotic indigenous species known as Canarium odontophyllum via an ultrasound-assisted process. The extraction process was optimized using response surface methodology (RSM) based on the Box-Behnken experimental design (BBD). The optimal conditions for the investigated parameters were determined as ultrasound amplitude level: 38.30%, ratio of n-hexane to kernel powder: 50:1 in mL/g, extraction time: 45.79 min, resulting in an oil extraction yield of 63.48%. For verification purposes, experiments were conducted using the same optimized values of the investigated parameters which resulted in the average oil yield of 63.27% and this prove the reliability of the regression model. The extracted oil's fatty acid composition was obtained using a gas chromatograph (GC) equipped with flame-ionization detection (FID). The low acid value of the extracted oil is another interesting finding. This is important because it circumvents pretreatment processes such as degumming and esterification prior to the transesterification process. Biodiesel was produced from the oil via ultrasound-assisted transesterification, with a yield of 95.2%. Physiochemical properties of the C. odontophyllum biodiesel were determined, and it was found that all the tested properties comply with fuel specifications based on ASTM D6751 and EN 14214 standards. Significant savings of 52.3% and 80.9% in energy consumption and extraction time, respectively were achieved via ultrasound-assisted extraction compared with the conventional Soxhlet extraction. This study establishes the foundation and the need to further explore the usage of C. odontophyllum as a potential feedstock for biodiesel production. � 2020 Elsevier Ltd Final 2023-05-29T09:08:46Z 2023-05-29T09:08:46Z 2021 Article 10.1016/j.jclepro.2020.125563 2-s2.0-85098656223 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098656223&doi=10.1016%2fj.jclepro.2020.125563&partnerID=40&md5=d06acd26d4b4f43c55c22e999a613b41 https://irepository.uniten.edu.my/handle/123456789/26290 288 125563 Elsevier Ltd Scopus |
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Biodiesel; Energy utilization; Fatty acids; Feedstocks; Gas chromatography; Hexane; Ionization of gases; Regression analysis; Transesterification; Ultrasonic applications; Box-Behnken experimental design; Fatty acid composition; Flame ionization detection; Physio-chemical properties; Pretreatment process; Response surface methodology; Transesterification process; Ultrasound-assisted extraction; Extraction |
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7801415444 |
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7801415444 Ideris F. Shamsuddin A.H. Nomanbhay S. Kusumo F. Silitonga A.S. Ong M.Y. Ong H.C. Mahlia T.M.I. |
| format |
Article |
| author |
Ideris F. Shamsuddin A.H. Nomanbhay S. Kusumo F. Silitonga A.S. Ong M.Y. Ong H.C. Mahlia T.M.I. |
| spellingShingle |
Ideris F. Shamsuddin A.H. Nomanbhay S. Kusumo F. Silitonga A.S. Ong M.Y. Ong H.C. Mahlia T.M.I. Optimization of ultrasound-assisted oil extraction from Canarium odontophyllum kernel as a novel biodiesel feedstock |
| author_sort |
Ideris F. |
| title |
Optimization of ultrasound-assisted oil extraction from Canarium odontophyllum kernel as a novel biodiesel feedstock |
| title_short |
Optimization of ultrasound-assisted oil extraction from Canarium odontophyllum kernel as a novel biodiesel feedstock |
| title_full |
Optimization of ultrasound-assisted oil extraction from Canarium odontophyllum kernel as a novel biodiesel feedstock |
| title_fullStr |
Optimization of ultrasound-assisted oil extraction from Canarium odontophyllum kernel as a novel biodiesel feedstock |
| title_full_unstemmed |
Optimization of ultrasound-assisted oil extraction from Canarium odontophyllum kernel as a novel biodiesel feedstock |
| title_sort |
optimization of ultrasound-assisted oil extraction from canarium odontophyllum kernel as a novel biodiesel feedstock |
| publisher |
Elsevier Ltd |
| publishDate |
2023 |
| _version_ |
1806426140540141568 |
| score |
13.222552 |