Research Insight
Potential and Metabolic Pathway Analysis of Marine Microorganism Fermentation in Bioethanol Production
Author Correspondence author
Journal of Energy Bioscience, 2024, Vol. 15, No. 4 doi: 10.5376/jeb.2024.15.0025
Received: 02 Jul., 2024 Accepted: 06 Aug., 2024 Published: 18 Aug., 2024
Wang M.H., 2024, Potential and metabolic pathway analysis of marine microorganism fermentation in bioethanol production, Journal of Energy Bioscience, 15(4): 267-276 (doi: 10.5376/jeb.2024.15.0025)
The study found that marine yeasts, such as Wickerhamomyces anomalus M15, exhibit high tolerance to salt and inhibitors, making them suitable for seawater fermentation. Additionally, the use of macroalgae and microalgae, such as Ulva fasciata and Chlorella vulgaris, demonstrated significant potential for bioethanol production, with chemical hydrolysis being the most effective pretreatment method. The integration of advanced techniques like artificial neural networks with genetic algorithms (ANN-GA) further optimized the fermentation parameters, enhancing bioethanol yield. Moreover, the study highlighted the importance of specific microbial strains, such as Saccharomyces cerevisiae, in efficiently converting carbohydrates to ethanol. The findings suggest that marine microorganisms and biomass hold substantial promise for sustainable bioethanol production. The high tolerance of marine yeasts to saline conditions and the effective use of macroalgae and microalgae as feedstocks can lead to greener and more efficient bioethanol production processes. The optimization of fermentation parameters through advanced modeling techniques can further enhance ethanol yields, making marine-based bioethanol production a viable alternative to traditional methods.
. PDF(519KB)
. FPDF(win)
. FPDF(mac)
. HTML
. Online fPDF
Associated material
. Readers' comments
Other articles by authors
. May H. Wang
Related articles
. Marine microorganisms
. Bioethanol production
. Fermentation
. Metabolic pathways
. Marine biomass
. Saccharomyces cerevisiae
. Wickerhamomyces anomalus
. Algae hydrolysis
. ANN-GA modeling
Tools
. Email to a friend
. Post a comment