Performance and composition of bacterial communities in anaerobic fluidized bed reactors for hydrogen production: Effects of organic loading rate and alkalinity

Shida, Géssia Momoe; Sader, Leandro Takano; Amorim, Eduardo Lucena Cavalcante de; Sakamoto, Isabel Kimiko; Maintinguer, Sandra Imaculada; Saavedra, Nora Kátia; Varesche, Maria Bernadete Amâncio; Silva, Edson Luiz

doi:10.1016/j.ijhydene.2012.08.140

Cited by 45 publications

(34 citation statements)

References 53 publications

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“…This study reports the same composition of biogas previously mentioned for both reactors, which is consistent with the literature on hydrogen production in anaerobic conditions (Shida et al, 2012;Barros et al, 2011;Zhang et al, 2007). cod remoVal and ph Table 1 shows pH and COD results and the hydraulic retention time.…”

Section: Calculation Of the Parameterssupporting

confidence: 91%

“…On the other hand the sucrose conversion percentage yielded values of 60% and 90% for HRTs of 1 and 8 hours respectively. This results can be compared with Shida et al (2012) who evaluated expanded clay in HRT from 1 to 8 hours; observing values of 40% and 11% in the hydrogen production and 90% in sucrose conversion for the two conditions.…”

Section: Calculation Of the Parametersmentioning

confidence: 97%

“…This shows once again that increasing the loading rate does not favor the system stability, sucrose conversion or H 2 production. On the contrary it harms the process, regardless of the type of material used as support (Shida et al, 2012;Ferraz et al, 2014).…”

Section: Calculation Of the Parametersmentioning

confidence: 99%

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Effect of Organic Loading Rate in Hydrogen Production with Different Support Materials in Anaerobic Fixed-Bed Reactors

Mendez-Revollo

Torres-Arevalo

Rodríguez-Chaparro

2017

IIT

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The objective of this study is to evaluate the effect of the organic loading rate in anaerobic fixed-bed reactors using two support materials which were crumb rubber (recycled tires) and biopack ® with a hydraulic retention time (HRT) of 8h. The organic loading rate was modified with the sucrose concentration, with values of 6000 mg.L -1 , 12000 mg.L -1 and 18000 mg.L 1 . The results showed that the increased loading rate resulted in a reduction of both the production of hydrogen and the sucrose conversion for both supporting materials. The maximum value of hydrogen production and sucrose conversion was 50.9 % and 88% for the crumb rubber reactor, and 56.1 % and 74.4 % for the biopack reactor, for a loading rate of 11.26 g COD.L -1 . d -1 . In this loading rate, stability was observed in H 2 production. The ANOVA test showed statistically significant influence for both the loading rate effect and the supporting material type in the hydrogen production.Keywords: Biopack®, clean energy, recycled tires, sucrose, volatile organic acid. Resumen

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Section: Calculation Of the Parameterssupporting

confidence: 91%

Section: Calculation Of the Parametersmentioning

confidence: 97%

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Effect of Organic Loading Rate in Hydrogen Production with Different Support Materials in Anaerobic Fixed-Bed Reactors

Mendez-Revollo

Torres-Arevalo

Rodríguez-Chaparro

2017

IIT

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“…reported that as the organic loading increased from 19 to 140.6 g glucose/L/day, the biohydrogen production increased from 12 to 76 L/day. [27]…”

Section: Discussionmentioning

confidence: 99%

Comparison of acetate-butyrate and acetate-ethanol metabolic pathway in biohydrogen production

et al. 2018

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Background:Hydrogen gas is the cleanest energy carrier and could be produced by biological process. Dark fermentation is one of the biohydrogen production methods that carried out just on organic wastes conversion.Methods:In this study, the batch tests were conducted to compare the biohydrogen production and glucose fermentation via acetate-butyrate and acetate-ethanol metabolic pathway induced by NaOH and KOH (10 M) pretreatment. In batch test, the glucose concentration in the feed was varied from 3.75 to 15 g/L under mesophilic conditions (37°C ± 1°C). In order to sludge pretreatment, NaOH and KOH (as an alkaline agent) was used.Results:Batch tests showed that maximum biohydrogen production under NaOH (2.7 ± 0.5 L) and KOH (2.2 ± 0.7 L) pretreatment was achieved at 15 g/L of influent glucose. In the batch test, with increasing influent glucose concentration, the lower yields of hydrogen were observed. The biohydrogen reactions had good electron closure (5.2%–13.5%) for various glucose concentrations and pretreatments. For NaOH and KOH pretreatment, the biohydrogen yield decreased from 2.49 to 1.63 and from 2.22 to 1.2 mol H2/mol glucose, respectively, when glucose concentration increased from 3.75 to 15 g/L.Conclusions:By applying alkaline sludge pretreatment by NaOH and KOH, the glucose fermentation was followed with acetate-butyrate and acetate-ethanol metabolic pathway, respectively. The lower biohydrogen yields were observed under acetate-ethanol metabolic pathway and related to metabolically unfavorable for biohydrogen production.

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“…In some cases, they were considered as potential hydrogen consumers, while in other cases, they were considered as hydrogen producers or lactate consumers (Hung et al 2011;Momoe et al 2012;Won et al 2013).…”

Section: Microbial Successionmentioning

confidence: 99%

Adaptation of acidogenic sludge to increasing glycerol concentrations for biohydrogen production

Tapia-Venegas

Cabrol

Brandhoff

et al. 2015

Appl Microbiol Biotechnol

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Hydrogen is a promising alternative as an energetic carrier and its production by dark fermentation from wastewater has been recently proposed, with special attention to crude glycerol as potential substrate. In this study, two different feeding strategies were evaluated for replacing the glucose substrate by glycerol substrate: a one-step strategy (glucose was replaced abruptly by glycerol) and a step-by-step strategy (progressive decrease of glucose concentration and increase of glycerol concentration from 0 to 5 g L(-1)), in a continuous stirred tank reactor (12 h of hydraulic retention time (HRT), pH 5.5, 35 °C). While the one-step strategy led to biomass washout and unsuccessful H2 production, the step-by-step strategy was efficient for biomass adaptation, reaching acceptable hydrogen yields (0.4 ± 0.1 molH2 mol(-1) glycerol consumed) around 33 % of the theoretical yield independently of the glycerol concentration. Microbial community structure was investigated by single-strand conformation polymorphism (SSCP) and denaturing gradient gel electrophoresis (DGGE) fingerprinting techniques, targeting either the total community (16S ribosomal RNA (rRNA) gene) or the functional Clostridium population involved in H2 production (hydA gene), as well as by 454 pyrosequencing of the total community. Multivariate analysis of fingerprinting and pyrosequencing results revealed the influence of the feeding strategy on the bacterial community structure and suggested the progressive structural adaptation of the community to increasing glycerol concentrations, through the emergence and selection of specific species, highly correlated to environmental parameters. Particularly, this work highlighted an interesting shift of dominant community members (putatively responsible of hydrogen production in the continuous stirred tank reactor (CSTR)) according to the gradient of glycerol proportion in the feed, from the family Veillonellaceae to the genera Prevotella and Clostridium sp., putatively responsible of hydrogen production in the CSTR.

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Performance and composition of bacterial communities in anaerobic fluidized bed reactors for hydrogen production: Effects of organic loading rate and alkalinity

Cited by 45 publications

References 53 publications

Effect of Organic Loading Rate in Hydrogen Production with Different Support Materials in Anaerobic Fixed-Bed Reactors

Effect of Organic Loading Rate in Hydrogen Production with Different Support Materials in Anaerobic Fixed-Bed Reactors

Comparison of acetate-butyrate and acetate-ethanol metabolic pathway in biohydrogen production

Adaptation of acidogenic sludge to increasing glycerol concentrations for biohydrogen production

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