Tao Huang, Dongping Song, Longfei Liu et al.

Separation and Purification Technology • 2019

S. Karthick, Sumisha Anappara, Haribabu Krishnan

Journal of environmental chemical engineering • 2020

Asim Ali Yaqoob, Mohamad Nasir Mohamad Ibrahim, Amira Suriaty Yaakop et al.

Applied Nanoscience • 2021

Shuai Luo, Akshay Jain, Anibal Aguilera et al.

Applied Energy • 2017

Mohammadreza Kamali, Yutong Guo, Tejraj M. Aminabhavi et al.

Renewable and Sustainable Energy Reviews • 2022

Song Zhang, Wei Su, Xiaojing Wang et al.

Biosensors and Bioelectronics • 2018

Tiancheng Ouyang, Wenjun Liu, Xiaomin Shi et al.

Bioresource Technology • 2023

Kengqiang Zhong, Linzhe Huang, Han Li et al.

Carbon • 2021

Asim Ali Yaqoob, Mohamad Nasir Mohamad Ibrahim, Amira Suriaty Yaakop

Journal of Cleaner Production • 2021

Chun Cao, Liling Wei, Gang Wang et al.

Electrochimica Acta • 2017

B. Neethu, V. Tholia, Makarand M. Ghangrekar

Process Biochemistry • 2020

Junguo He, Xiaodong Xin, Zheng Pei et al.

Bioresource Technology • 2021

Mehdi Tahernia, Maedeh Mohammadifar, Yang Gao et al.

Biosensors and Bioelectronics • 2020

Bolong Liang, Chao Ren, Yubo Zhao et al.

Journal of Electroanalytical Chemistry • 2020

Pradeep Kumar Meena, Prashant Patane

International Journal of Hydrogen Energy • 2024

Ming Li, Minghua Zhou, Chaolin Tan et al.

Bioresource Technology • 2018

Yue Yi, Beizhen Xie, Ting Zhao et al.

Bioelectrochemistry • 2019

Sanket Goel

Applied Materials Today • 2018

Vaidhegi Kugarajah, Sangeetha Dharmalingam

Chemical Engineering Journal • 2020

Xinyang Li, Guicheng Liu, Shaobin Sun et al.

Energy Conversion and Management • 2018

Lei Zhao, Jian Li, Francine Battaglia et al.

Journal of Power Sources • 2016

Debajyoti Bose, M. Gopinath, Vijay Parthasarthy

Biofuels Bioproducts and Biorefining • 2018

Abstract Microbial fuel‐cell performance depends primarily on five factors: the nature of the electrodes, pH, concentration, temperature, and period of operation. The present work describes work on optimization that has resulted in improved system performance of processes for energy recovery from wastewater by addressing these five parameters. This optimization is related to Monod kinetics, which forms the basis for microbial growth and substrate depletion rate. A difference in energy recovery from wastewater sources has been reported for studies with pure microbial culture and with undefined mixed microbes. Energy utilization research with microbial reactors has grown significantly with varying electrogenic reactor configurations, reductions in material costs, and a global need for power with reduced net CO 2 emissions. The potential for future developments of these electrogenic reactor systems is also discussed, including how these systems can be integrated with existing wastewater treatment sources such as anaerobic digesters, and the positive impact they can have on energy security, which is linked with economic stability. Treatment of industrial and domestic wastewater using the microbial reserves can contribute significantly to advancing wastewater treatment infrastructure through effective COD (Chemical Oxygen Demand) removal, and in the process generate value‐added product in the form of bioelectricity. © 2018 Society of Chemical Industry and John Wiley & Sons, Ltd

Chunfeng Shao, Lingmin Wu, Yinghua Wang et al.

Applied Catalysis B: Environmental • 2022

Shuai Luo, Weihua Guo, Kenneth H. Nealson et al.

Scientific Reports • 2016

Microbial fuel cell (MFC) is a promising technology for direct electricity generation from organics by microorganisms. The type of electron donors fed into MFCs affects the electrical performance, and mechanistic understanding of such effects is important to optimize the MFC performance. In this study, we used a model organism in MFCs, Shewanella oneidensis MR-1, and (13)C pathway analysis to investigate the role of formate in electricity generation and the related microbial metabolism. Our results indicated a synergistic effect of formate and lactate on electricity generation, and extra formate addition on the original lactate resulted in more electrical output than using formate or lactate as a sole electron donor. Based on the (13)C tracer analysis, we discovered decoupled cell growth and electricity generation in S. oneidensis MR-1 during co-utilization of lactate and formate (i.e., while the lactate was mainly metabolized to support the cell growth, the formate was oxidized to release electrons for higher electricity generation). To our best knowledge, this is the first time that (13)C tracer analysis was applied to study microbial metabolism in MFCs and it was demonstrated to be a valuable tool to understand the metabolic pathways affected by electron donors in the selected electrochemically-active microorganisms.

Marcelinus Christwardana, Domenico Frattini, Grazia Accardo et al.

Journal of Power Sources • 2018

Hegazy Rezk, A.G. Olabi, Mohammad Ali Abdelkareem et al.

Journal of the Taiwan Institute of Chemical Engineers • 2023

Lou Zhu, Yangfan Song, Hongwei Chen et al.

International Journal of Hydrogen Energy • 2024

Mohammadreza Kamali, Tejraj M. Aminabhavi, Rouzbeh Abbassi et al.

Fuel • 2021

Waheed Miran, Jiseon Jang, Mohsin Nawaz et al.

Journal of Hazardous Materials • 2018

Zhicheng Xu, Shiyu Chen, Siyuan Guo et al.

Journal of Power Sources • 2021

Hadiyanto Hadiyanto, Marcelinus Christwardana, Wahyu Zuli Pratiwi et al.

Chemosphere • 2021

Maryam Sabzevari, Sándor Szedmák, Merja Penttilä et al.

PLoS Computational Biology • 2022

Engineered microbial cells present a sustainable alternative to fossil-based synthesis of chemicals and fuels. Cellular synthesis routes are readily assembled and introduced into microbial strains using state-of-the-art synthetic biology tools. However, the optimization of the strains required to reach industrially feasible production levels is far less efficient. It typically relies on trial-and-error leading into high uncertainty in total duration and cost. New techniques that can cope with the complexity and limited mechanistic knowledge of the cellular regulation are called for guiding the strain optimization. In this paper, we put forward a multi-agent reinforcement learning (MARL) approach that learns from experiments to tune the metabolic enzyme levels so that the production is improved. Our method is model-free and does not assume prior knowledge of the microbe's metabolic network or its regulation. The multi-agent approach is well-suited to make use of parallel experiments such as multi-well plates commonly used for screening microbial strains. We demonstrate the method's capabilities using the genome-scale kinetic model of Escherichia coli, k-ecoli457, as a surrogate for an in vivo cell behaviour in cultivation experiments. We investigate the method's performance relevant for practical applicability in strain engineering i.e. the speed of convergence towards the optimum response, noise tolerance, and the statistical stability of the solutions found. We further evaluate the proposed MARL approach in improving L-tryptophan production by yeast Saccharomyces cerevisiae, using publicly available experimental data on the performance of a combinatorial strain library. Overall, our results show that multi-agent reinforcement learning is a promising approach for guiding the strain optimization beyond mechanistic knowledge, with the goal of faster and more reliably obtaining industrially attractive production levels.

Asim Ali Yaqoob, Mohamad Nasir Mohamad Ibrahim, Khalid Umar

Journal of environmental chemical engineering • 2021

Patricia J. Slininger, Bruce S. Dien, Cletus P. Kurtzman et al.

Biotechnology and Bioengineering • 2016

Oleaginous yeasts can convert sugars to lipids with fatty acid profiles similar to those of vegetable oils, making them attractive for production of biodiesel. Lignocellulosic biomass is an attractive source of sugars for yeast lipid production because it is abundant, potentially low cost, and renewable. However, lignocellulosic hydrolyzates are laden with byproducts which inhibit microbial growth and metabolism. With the goal of identifying oleaginous yeast strains able to convert plant biomass to lipids, we screened 32 strains from the ARS Culture Collection, Peoria, IL to identify four robust strains able to produce high lipid concentrations from both acid and base-pretreated biomass. The screening was arranged in two tiers using undetoxified enzyme hydrolyzates of ammonia fiber expansion (AFEX)-pretreated cornstover as the primary screening medium and acid-pretreated switch grass as the secondary screening medium applied to strains passing the primary screen. Hydrolyzates were prepared at ∼18-20% solids loading to provide ∼110 g/L sugars at ∼56:39:5 mass ratio glucose:xylose:arabinose. A two stage process boosting the molar C:N ratio from 60 to well above 400 in undetoxified switchgrass hydrolyzate was optimized with respect to nitrogen source, C:N, and carbon loading. Using this process three strains were able to consume acetic acid and nearly all available sugars to accumulate 50-65% of cell biomass as lipid (w/w), to produce 25-30 g/L lipid at 0.12-0.22 g/L/h and 0.13-0.15 g/g or 39-45% of the theoretical yield at pH 6 and 7, a performance unprecedented in lignocellulosic hydrolyzates. Three of the top strains have not previously been reported for the bioconversion of lignocellulose to lipids. The successful identification and development of top-performing lipid-producing yeast in lignocellulose hydrolyzates is expected to advance the economic feasibility of high quality biodiesel and jet fuels from renewable biomass, expanding the market potential for lignocellulose-derived fuels beyond ethanol for automobiles to the entire U.S. transportation market. Biotechnol. Bioeng. 2016;113: 1676-1690. © 2016 Wiley Periodicals, Inc.

N. Jannelli, Rosa Anna Nastro, Viviana Cigolotti et al.

Applied Energy • 2016

Xiaoshuai Wu, Zhuanzhuan Shi, Long Zou et al.

Journal of Power Sources • 2017

Wenfang Cai, Jiafeng Geng, Kai‐Bo Pu et al.

Chemical Engineering Journal • 2017

Juntao Yang, Songbiao Tang, Wenjie Mei et al.

Biochar • 2024

Abstract Anaerobic digestion (AD) was initially evaluated as a potential preprocessing method for preparing biomass-based carbon electrocatalysts in this study. The AD pretreatment succeeded in the structural depolymerization and nitrogen enrichment of Hybrid Pennisetum , which provided favorable conditions to achieve efficient and homogeneous nitrogen introduction due to microorganism community enrichment and provided a porous structure by degradation of the biodegradable components. The resulted biochar exhibited improved physiochemical properties including higher specific surface areas, nitrogen content and graphitization degree than that obtained from pyrolyzing raw biomass. These improvements were positively correlated with the AD time and showed to have enhanced the performance in oxygen reduction reaction and practical microbial fuel cell applications. Amongst the investigated samples, the obtained biochar pretreated by AD for 15 days exhibited the most excellent performance with an onset potential of 0.17 V (VS. saturated calomel electrode) and the maximal power density of 543.2 mW cm −2 assembled in microbial fuel cells. This study suggested applying AD as a new biological pretreatment in the preparation of biomass-based electrocatalysts, and provided a unique pathway for fabricating high-performance biochar-based catalysts by structure optimization and N-containing active sites construction via gentle biological method, thereby providing a cost-effective method to fabricate metal-free catalysts for oxygen reduction reaction. Graphical Abstract

Minghao Yu, Xinyu Cheng, Yinxiang Zeng et al.

Angewandte Chemie • 2016

Abstract A novel in situ N and low‐valence‐state Mo dual doping strategy was employed to significantly improve the conductivity, active‐site accessibility, and electrochemical stability of MoO 3 , drastically boosting its electrochemical properties. Consequently, our optimized N‐MoO 3− x nanowires exhibited exceptional performances as a bifunctional anode material for both fiber‐shaped asymmetric supercapacitors (ASCs) and microbial fuel cells (MFCs). The flexible fiber‐shaped ASC and MFC device based on the N‐MoO 3− x anode could deliver an unprecedentedly high energy density of 2.29 mWh cm −3 and a remarkable power density of 0.76 μW cm −1 , respectively. Such a bifunctional fiber‐shaped N‐MoO 3− x electrode opens the way to integrate the electricity generation and storage for self‐powered sources.

Saurabh Mishra, Jagdeep Kumar Nayak, Abhijit Maiti

Clean Technologies and Environmental Policy • 2020