Special Issue "Recent Trends in Biogenic Gas, Waste and Wastewater Fermentation"

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

Deadline for manuscript submissions: 31 October 2021.

Special Issue Editors

Dr. Eldon R. Rene
E-Mail Website
Guest Editor
Environmental Engineering and Water Technology, Institute of Water Education, Westvest 7 2611 AX Delft, The Netherlands
Interests: development of bioprocesses for air; water and soil remediation
Prof. Dr. Maria Carmen Veiga
E-Mail Website
Guest Editor
Department of Chemical Engineering, Faculty of Sciences and Center for Advanced Scientific Research (CICA), University of La Coruña, 15008 La Coruña, Spain
Interests: bioremendiation
Prof. Dr. Christian Kennes
E-Mail Website
Guest Editor
Department of Chemical Engineering, Faculty of Sciences, University of La Coruña, La Coruña, Spain
Interests: waste gas treatment; wastewater treatment; fermentation technology; biodegradation; bioconversion; biofuels; biorefinery
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Special Issue Information

Dear Colleagues,

In recent years, the optimization of bioprocesses for the removal of pollutants from industrial biogenic gas emissions, waste and wastewater has been the focus of intensive research. Recently developed technologies not only aim to remove such pollutants, but also to valorize them, whenever possible, through their bioconversion into useful added value products. In this domain of progressive research, lab-, pilot-, and demonstration-scale studies have been dealing with the fermentation of biogenic gases (e.g., CO2, CO, CH4), waste or wastewater to produce a range of biofuels and valuable products, based on the activity of pure or mixed cultures of native or recombinant an/aerobic bacteria, algae, or yeasts as biocatalysts. Waste can also be converted to syngas, which can subsequently be fermented as well. A broad range of bioproducts can be obtained, e.g., (bio)ethanol and higher alcohols, short and medium chain fatty acids, biopolymers, microbial oils and several other platform chemicals and products, to mention only a few examples. This environmentally friendly biorefinery approach addresses the need to build modern societies according to a circular economy concept and yields products of commercial interest. This Special Issue focusses on recent trends in this domain and will consider both research as well as review papers. For review papers, the authors should provide, in their cover letter, a list of recent publications (up to ten) of their own, highlighting their expertise in the field.

Dr. Eldon R. Rene
Prof. Dr. Maria Carmen Veiga
Prof. Dr. Christian Kennes
Guest Editors

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 papers will be 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 quarterly 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 1600 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

  • Acetogenic bacteria
  • Algae
  • Biorefinery
  • Biofuels
  • Biogas
  • Biopolymers
  • Biomass
  • Bioproducts
  • Chain elongation
  • FAME
  • Greenhouse gases
  • Lignocellulose
  • Steel industry
  • Syngas
  • Synthetic biology
  • Yeasts

Published Papers (1 paper)

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Research

Article
Modeling of Hydrogen Production by Applying Biomass Gasification: Artificial Neural Network Modeling Approach
Fermentation 2021, 7(2), 71; https://doi.org/10.3390/fermentation7020071 - 01 May 2021
Viewed by 627
Abstract
In order to accurately anticipate the proficiency of downdraft biomass gasification linked with a water–gas shift unit to produce biohydrogen, a model based on an artificial neural network (ANN) approach is established to estimate the specific mass flow rate of the biohydrogen output [...] Read more.
In order to accurately anticipate the proficiency of downdraft biomass gasification linked with a water–gas shift unit to produce biohydrogen, a model based on an artificial neural network (ANN) approach is established to estimate the specific mass flow rate of the biohydrogen output of the plant based on different types of biomasses and diverse operating parameters. The factors considered as inputs to the models are elemental and proximate analysis compositions as well as the operating parameters. The model structure includes one layer for input, a hidden layer and output layer. One thousand eight hundred samples derived from the simulation of 50 various feedstocks in different operating situations were utilized to train the developed ANN model. The established ANN in the case of product biohydrogen presents satisfactory agreement with input data: absolute fraction of variance (R2) is more than 0.999 and root mean square error (RMSE) is lower than 0.25. In addition, the relative impact of biomass properties and operating parameters on output are studied. At the end, to have a comprehensive evaluation, variations of the inputs regarding hydrogen-content are compared and evaluated together. The results show that almost all of the inputs show a significant impact on the smhydrogen output. Significantly, gasifier temperature, SBR, moisture content and hydrogen have the highest impacts on the smhydrogen with contributions of 19.96, 17.18, 15.3 and 10.48%, respectively. In addition, other variables in feed properties, like C, O, S and N present a range of 1.28–8.6% and proximate components like VM, FC and A present a range of 3.14–7.67% of impact on smhydrogen. Full article
(This article belongs to the Special Issue Recent Trends in Biogenic Gas, Waste and Wastewater Fermentation)
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