Efficient dark fermentative hydrogen production from enzyme hydrolyzed rice straw by Clostridium pasteurianum (MTCC116)

Srivastava, Neha; Srivastava, Manish; Kushwaha, Deepika; Gupta, Vijai Kumar; Manikanta, Ambepu; Ramteke, Pramod W.; Mishra, Priya

doi:10.1016/j.biortech.2017.04.077

Cited by 76 publications

(8 citation statements)

References 43 publications

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“…The presumed positive relationship of E. Harbinense, E. olivae, C. pasteurianum and C. carboxidivorans with hydrogen production was confirmed in the correlation analysis (Figure 7). E. harbinense and C. pasteurianum are known hydrogen producers (Wang et al, 2009; Masset et al, 2012; Srivastava et al, 2017) and Enterococcus species are frequently present in hydrogen-producing consortia and some are hydrogen producers (Pachapur et al, 2015; Braga et al, 2018; Yin and Wang, 2019). E. olivae has been reported to produce gas on glucose (Lucena-Padrós et al, 2014) although this gas was not identified so, although possible, it is not clear if E. olivae contributed to hydrogen production.…”

Section: Discussionmentioning

confidence: 99%

Variations in microbial diversity affect the stability and function of dark fermentation bioreactors

Navarro-Díaz¹,

Escalante²,

Valdez‐Vazquez

et al. 2022

Preprint

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The relationship between the taxonomic diversity and the function of microbial communities is complex. Specifically, the ecological mechanisms that drive the dynamics of microbial populations and the consequences of these dynamics on functional traits have remained elusive. Among the simplest but natural microbial communities are dark fermentation consortia, a subset of the more diverse and complex microbial communities, anaerobic digestion communities. Dark fermentation consortia have been of interest as they produce biofuels such as hydrogen and different alcohols that can be used as fossil fuels alternatives. However, these hydrogen-producing communities have unresolved instability and low yield issues. We have previously proposed that instability and low yields in dark fermentation communities could be due to reduced diversity that results from aggressive pretreatments of original anaerobic digestion communities. In this work, we used dark fermentation communities to examine experimentally the effect of diversity reduction in functional traits, including stability and microbial interactions. We established two types of treatment, (i) maintaining strict culture conditions that are known to induce hydrogen production and ii) applying a heat-shock treatment known for selecting hydrogen-producing bacteria, which resulted in two types of communities, high and low diversity. Each treatment consisted of 12 replicates that were transferred to fresh medium daily (during 28 days for the non-treated bioreactors and 61 days for the heat-shock treated bioreactors). Microbial communities of the two treatments were characterized in their function as well as resistance to invasion. Microbial composition was characterized by culture-independent 16S rRNA gene amplicon sequencing. We analyzed microbial community composition and function through time, establishing statistical relationships between bacterial groups and metabolite production. Also, we inferred the potential ecological interactions that might have been established. Results show that the replicate bioreactors for each treatment predictably shifted to a similar composition and increased and stable biogas production. The non-treated bioreactors showed less susceptibility to the invasion (with the invasive bacteria establishing only in one replicate in the non-treated bioreactors vs 6 invaded replicates of the heat-shock treated bioreactors). However, the effect observed in the non-treated bioreactor replicate where the invader bacteria established was more drastic since the invasive bacteria managed to become dominant.

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Section: Discussionmentioning

confidence: 99%

Variations in microbial diversity affect the stability and function of dark fermentation bioreactors

Navarro-Díaz¹,

Escalante²,

Valdez‐Vazquez

et al. 2022

Preprint

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“…food waste) during the DFP where the hydrogen yield was simulated with the Gompertz model. Srivastava et al (2017) employed Clostridium pasteurianum and hydrolyzed rice straw to generate hydrogen through DFP, and studied the optimum condition of the production process. Khongkliang, Kongjan, Utarapichat, Reungsang, and Sompong (2017) investigated thermophilic dark fermentation and microbial electrolysis to produce hydrogen in the optimum conditions from cassava starch processing wastewater, while the study of Argun and Onaran (2017) considered hydrogen production from waste paper through the dark fermentation process.…”

Section: Hydrogen Production Methodsmentioning

confidence: 99%

Computational intelligence approach for modeling hydrogen production: a review

Ardabili

Najafi

Shamshirband

et al. 2018

Engineering Applications of Computational Fluid Mechanics

135

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Hydrogen is a clean energy source with a relatively low pollution footprint. However, hydrogen does not exist in nature as a separate element but only in compound forms. Hydrogen is produced through a process that dissociates it from its compounds. Several methods are used for hydrogen production, which first of all differ in the energy used in this process. Investigating the viability and exact applicability of a method in a specific context requires accurate knowledge of the parameters involved in the method and the interaction between these parameters. This can be done using top-down models relying on complex mathematically driven equations. However, with the raise of computational intelligence (CI) and machine learning techniques, researchers in hydrology have increasingly been using these methods for this complex task and report promising results. The contribution of this study is to investigate the state of the art CI methods employed in hydrogen production, and to identify the CI method(s) that perform better in the prediction, assessment and optimization tasks related to different types of Hydrogen production methods. The resulting analysis provides in-depth insight into the different hydrogen production methods, modeling technique and the obtained results from various scenarios, integrating them within the framework of a common discussion and evaluation paper. The identified methods were benchmarked by a qualitative analysis of the accuracy of CI in modeling hydrogen production, providing extensive overview of its usage to empower renewable energy utilization.

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“…Bacterial strains belonging to the genera Enterobacter, Bacillus, Citrobacter and Clostridium have been mainly studied for hydrogen production in dark fermentation [72]. The use of agro-industrial wastes in dark fermentation has been proven an efficient process due to the high productivities achieved on a wide range of feedstocks [73]. Rice by-products have also been tested for bio-hydrogen production, but the studies dealing with DRB utilization are scarce.…”

Section: Production Of Bio-hydrogenmentioning

confidence: 99%

Valorising Agro-industrial Wastes within the Circular Bioeconomy Concept: the Case of Defatted Rice Bran with Emphasis on Bioconversion Strategies

et al. 2020

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The numerous environmental problems caused by the extensive use of fossil resources have led to the formation of the circular bioeconomy concept. Renewable resources will constitute the cornerstone of this new, sustainable model, with biomass presenting a huge potential for the production of fuels and chemicals. In this context, waste and by-product streams from the food industry will be treated not as “wastes” but as resources. Rice production generates various by-product streams which currently are highly unexploited, leading to environmental problems especially in the countries that are the main producers. The main by-product streams include the straw, the husks, and the rice bran. Among these streams, rice bran finds applications in the food industry and cosmetics, mainly due to its high oil content. The high demand for rice bran oil generates huge amounts of defatted rice bran (DRB), the main by-product of the oil extraction process. The sustainable utilisation of this by-product has been a topic of research, either as a food additive or via its bioconversion into value-added products and chemicals. This review describes all the processes involved in the efficient bioconversion of DRB into biotechnological products. The detailed description of the production process, yields and productivities, as well as strains used for the production of bioethanol, lactic acid and biobutanol, among others, are discussed.

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Efficient dark fermentative hydrogen production from enzyme hydrolyzed rice straw by Clostridium pasteurianum (MTCC116)

Cited by 76 publications

References 43 publications

Variations in microbial diversity affect the stability and function of dark fermentation bioreactors

Variations in microbial diversity affect the stability and function of dark fermentation bioreactors

Computational intelligence approach for modeling hydrogen production: a review

Valorising Agro-industrial Wastes within the Circular Bioeconomy Concept: the Case of Defatted Rice Bran with Emphasis on Bioconversion Strategies

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