1. Optimizing Algal Oil Extraction and Transesterification Parameters through RSM, PCA, and MRA for Sustainable Biodiesel Production.
- Author
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Tang, Lingdi, Otho, Ali Raza, Laghari, Mahmood, Junejo, Abdul Rahim, Brohi, Sheeraz Aleem, Chandio, Farman Ali, Otho, Sohail Ahmed, Hao, Li, Mari, Irshad Ali, Dahri, Jahangeer, and Channa, Jamshed Ali
- Subjects
RESPONSE surfaces (Statistics) ,PRINCIPAL components analysis ,SUSTAINABILITY ,REGRESSION analysis ,FRESHWATER algae - Abstract
This study presents a comprehensive optimization of algal oil extraction and transesterification for sustainable biodiesel production. Freshwater Spirogyra algae underwent Soxhlet extraction using n-hexane. response surface methodology (RSM), principal component analysis (PCA), and multivariate regression analysis (MRA) were employed to investigate the effects of biomass–solvent ratio (BSR), algae particle size (APS), and extraction-contact time (E-CT) on algal oil yield (AOY). The extracted oil was then converted to biodiesel via transesterification, and the impacts of the methanol–oil ratio (MOR) and transesterification-contact time (T-CT) on biodiesel conversion efficiency (BCE) were analyzed. Results demonstrate that optimal BSR, APS, and E-CT for maximal AOY are 1:7, 400 µm, and 3–4 h, respectively. For transesterification, a MOR of 12:1 and a T-CT of 4 h yielded the highest BCE. Predictive models exhibited exceptional accuracy, with R
2 values of 0.916 and 0.950 for AOY and BCE, respectively. The produced biodiesel complied with ASTM D6751 and EN 14214, showcasing its potential for renewable energy applications. [ABSTRACT FROM AUTHOR]- Published
- 2024
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