English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Optimization of oil separation from algae biomass via a Soxhlet extraction method was studied. The extracted oil was characterized for its functional groups and chemical composition using Fourier transform infrared (FTIR) spectroscopy and gas chromatography-mass spectrometry (GC-MS), respectively. In addition, the basic physicochemical properties of the algal oil were evaluated in order to ascertain its quality. Central composite design was used for optimization of Soxhlet extraction process. Predicted values of oil extraction yield were found to be in good agreement with the experimental values obtained. Optimization results showed that maximum oil yield of 18.290.4 wt.% was achieved at the optimum conditions of 61.31 °C extraction temperature, 2.54 h extraction time, and 0.59 mm particle size. The FTIR analysis revealed the presence of alkane (C–H), esters (C=O), carboxylic acid (C–O, C=O, and O–H), and unsaturated (=C–H) groups on the extracted oil, while the result from the GC-MS analysis confirmed the presence of various fatty acids. The physicochemical properties of the extracted algal oil conformed to American Society for Testing and Method (ASTM) standard and the values reported in the literature.

Extraction, optimization, and characterization of oil from green microalgae Chlorophyta species