Microalgae to Bioenergy: Optimization of Aurantiochytrium sp. Saccharification

1Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

Abstract

Microalgae are a promising feedstock for bioethanol production, essentially due to their high growth rates and absence of lignin. Hydrolysis—where the monosaccharides are released for further fermentation—is considered a critical step, and its optimization is advised for each raw material. The present study focuses on the thermal acid hydrolysis (with sulfuric acid) of Aurantiochytrium sp. through a response surface methodology (RSM), studying the effect of acid concentration, hydrolysis time and biomass/acid ratio on both sugar concentration of the hydrolysate and biomass conversion yield. Preliminary studies allowed to establish the range of the variables to be optimized. The obtained models predicted a maximum sugar concentration (18.05 g/L; R2 = 0.990) after 90 min of hydrolysis, using 15% (w/v) biomass/acid ratio and sulfuric acid at 3.5% (v/v), whereas the maximum conversion yield (12.86 g/100 g; R2 = 0.876) was obtained using 9.3% (w/v) biomass/acid ratio, maintaining the other parameters. Model outputs indicate that the biomass/acid ratio and time are the most influential parameters on the sugar concentration and yield models, respectively. The study allowed to obtain a predictive model that is very well adjusted to the experimental data to find the best saccharification conditions for the Aurantiochytrium sp. microalgae.

References Powered by Scopus

931Citations
1489Readers
Get full text
563Citations
1038Readers
Get full text
Get full text

Cited by Powered by Scopus

This article is free to access.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Oliveira, J., Pardilhó, S., Dias, J. M., & Pires, J. C. M. (2023). Microalgae to Bioenergy: Optimization of Aurantiochytrium sp. Saccharification. Biology, 12(7). https://doi.org/10.3390/biology12070935

Readers over time

‘23‘24036912

Readers' Seniority

Tooltip

Professor / Associate Prof. 2

67%

PhD / Post grad / Masters / Doc 1

33%

Readers' Discipline

Tooltip

Environmental Science 1

50%

Chemistry 1

50%

Article Metrics

Tooltip
Mentions
Blog Mentions: 1

Save time finding and organizing research with Mendeley

Sign up for free
0