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Fermentation
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Recent Trend in Biofuel Fermentation from Renewable Biomass
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Recent Trend in Biofuel Fermentation from Renewable Biomass

A special issue of Fermentation (ISSN 2311-5637). This special issue belongs to the section "Industrial Fermentation".

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 4760

Special Issue Editor

Dr. Malek Alkasrawi

E-Mail Website
Guest Editor
UWSP Paper Science & Engineering Department, University of Wisconsin, Stevens Point, WI 54481, USA
Interests: biorefinery; enzymatic hydrolysis; ethanol fermentation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Special Issue of “Recent Trend in Biofuel Fermentation from Renewable Biomass’’ would focus on the current advances of the 1st and 2nd generation conversion process of biomass into liquid biofuels and chemicals. The expected work that comes should focus on maximizing the biofuel yields via advanced fermentation technology. The fermentation technology should include but not limited to fermentation chemistry, fermentation kinetics, process economy, molecular biology, and process scale-up. The profit in fermentation technologies is very marginal, therefore the expected biofuel production should correspond to the economic concentration. The biofuel economical concentration corresponds to the minimum energy demand in the downstream processing of the biofuel recovery. Overall, the expected novelty outcomes should have a direct impact on the process economy.

Dr. Malek Alkasrawi
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fermentation is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • fermentation chemistry
  • process calling
  • process economy
  • down stream processing
  • biofuels

Published Papers (3 papers)

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Research

22 pages, 1270 KiB  
Article
Optimization of Wheat Straw Conversion into Microbial Lipids by Lipomyces tetrasporus DSM 70314 from Bench to Pilot Scale
by Antonio Caporusso, Isabella De Bari, Aristide Giuliano, Federico Liuzzi, Roberto Albergo, Rocchina Pietrafesa, Gabriella Siesto, Assunta Romanelli, Giacobbe Braccio and Angela Capece
Fermentation 2023, 9(2), 180; https://doi.org/10.3390/fermentation9020180 - 16 Feb 2023
Cited by 6 | Viewed by 1708
Abstract
Microbial lipids are renewable platforms for several applications including biofuels, green chemicals, and nutraceuticals that can be produced from several residual carbon sources. Lignocellulosic biomasses are abundant raw materials for the production of second-generation sugars with conversion yields depending on the quality of [...] Read more.
Microbial lipids are renewable platforms for several applications including biofuels, green chemicals, and nutraceuticals that can be produced from several residual carbon sources. Lignocellulosic biomasses are abundant raw materials for the production of second-generation sugars with conversion yields depending on the quality of the hydrolysates and the metabolic efficiency of the microorganisms. In the present work, wheat straw pre-treated by steam explosion and enzymatically hydrolysed was converted into microbial lipids by Lipomyces tetrasporus DSM 70314. The preliminary optimization of the enzymatic hydrolysis was performed at the bench scale through the response surface methodology (RSM). The fermentation medium and set-up were optimized in terms of the nitrogen (N) source and carbon-to-nitrogen (C/N) ratio yielding to the selection of soy flour as a N source and C/N ratio of 160. The bench scale settings were scaled-up and further optimized at the 10 L-scale and finally at the 50 L pilot scale bioreactor. Process optimization also included oxygen supply strategies. Under optimized conditions, a lipid concentration of 14.8 gL−1 was achieved corresponding to a 23.1% w/w lipid yield and 67.4% w/w lipid cell content. Oleic acid was the most abundant fatty acid with a percentage of 57%. The overall process mass balance was assessed for the production of biodiesel from wheat straw. Full article
(This article belongs to the Special Issue Recent Trend in Biofuel Fermentation from Renewable Biomass)
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13 pages, 2646 KiB  
Article
q-PCR Methodology for Monitoring the Thermophilic Hydrogen Producers Enriched from Elephant Dung
by Khamanitjaree Saripan, Chonticha Mamimin, Tsuyoshi Imai, Sureewan Sittijunda and Alissara Reungsang
Fermentation 2022, 8(10), 506; https://doi.org/10.3390/fermentation8100506 - 01 Oct 2022
Cited by 2 | Viewed by 1262
Abstract
This study aims to create a quantitative polymerase chain reaction (q-PCR) methodology for monitoring the hydrogen-producing mixed cultures enriched from elephant dung using alpha-cellulose as a carbon source through five generations of repetitive sub-culture. The enriched thermophilic mixed cultures from the fifth cultivation [...] Read more.
This study aims to create a quantitative polymerase chain reaction (q-PCR) methodology for monitoring the hydrogen-producing mixed cultures enriched from elephant dung using alpha-cellulose as a carbon source through five generations of repetitive sub-culture. The enriched thermophilic mixed cultures from the fifth cultivation cycle gave the highest hydrogen yield of 170.3 mL H2/g cellulose and were used to generate hydrogen from sawdust. Clostridium sp. and Thermoanaerobacterium sp. were the dominant bacteria in thermophilic mixed cultures with high hydrogen yield, according to polymerase chain reaction-denatured gradient gel electrophoresis (PCR-DGGE). q-PCR primers Chis150F and ClostIR, TherF and TherR, and BacdF and BacdR were developed to amplify the 16S rRNA genes of Clostridium sp., Thermoanaerobacterium sp., and Bacillus sp., respectively, for the quantification of hydrogen-producing bacteria in biohydrogen fermentation. Similar q-PCR analysis of Clostridium sp., Thermoanaerobacterium sp., and Bacillus sp. 16S rRNA gene amplification during hydrogen production from cellulose and sawdust revealed increasing gene copy number with time. The molecular approaches developed in this study can be used to monitor microbial communities in hydrogen fermentation processes efficiently. Full article
(This article belongs to the Special Issue Recent Trend in Biofuel Fermentation from Renewable Biomass)
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11 pages, 2369 KiB  
Article
Adaptive Network Fuzzy Inference System and Particle Swarm Optimization of Biohydrogen Production Process
by Tareq Salameh, Enas Taha Sayed, A. G. Olabi, Ismail I. Hdaib, Yazeed Allan, Malek Alkasrawi and Mohammad Ali Abdelkareem
Fermentation 2022, 8(10), 483; https://doi.org/10.3390/fermentation8100483 - 26 Sep 2022
Cited by 11 | Viewed by 1401
Abstract
Green hydrogen is considered to be one of the best candidates for fossil fuels in the near future. Bio-hydrogen production from the dark fermentation of organic materials, including organic wastes, is one of the most cost-effective and promising methods for hydrogen production. One [...] Read more.
Green hydrogen is considered to be one of the best candidates for fossil fuels in the near future. Bio-hydrogen production from the dark fermentation of organic materials, including organic wastes, is one of the most cost-effective and promising methods for hydrogen production. One of the main challenges posed by this method is the low production rate. Therefore, optimizing the operating parameters, such as the initial pH value, operating temperature, N/C ratio, and organic concentration (xylose), plays a significant role in determining the hydrogen production rate. The experimental optimization of such parameters is complex, expensive, and lengthy. The present research used an experimental data asset, adaptive network fuzzy inference system (ANFIS) modeling, and particle swarm optimization to model and optimize hydrogen production. The coupling between ANFIS and PSO demonstrated a robust effect, which was evident through the improvement in the hydrogen production based on the four input parameters. The results were compared with the experimental and RSM optimization models. The proposed method demonstrated an increase in the biohydrogen production of 100 mL/L compared to the experimental results and a 200 mL/L increase compared to the results obtained using ANOVA. Full article
(This article belongs to the Special Issue Recent Trend in Biofuel Fermentation from Renewable Biomass)
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