Evidence map›Paper›PMID 25278996›Full record

ArticleBiotechnology for biofuels2014

Revealing the factors influencing a fermentative biohydrogen production process using industrial wastewater as fermentation substrate.

Iulian Zoltan Boboescu, Mariana Ilie, Vasile Daniel Gherman, Ion Mirel, Bernadett Pap, Adina Negrea, Eva Kondorosi, Tibor Bíró, Gergely Maróti

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
6.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 61 citations in OpenAlex.

  1. Review
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 2 countries.

Iulian Zoltan BoboescuPolytechnic University of Timisoara, Timisoara, Romania ; Seqomics Biotechnology Ltd, Szeged, Hungary.
Mariana IliePolytechnic University of Timisoara, Timisoara, Romania.
Vasile Daniel GhermanPolytechnic University of Timisoara, Timisoara, Romania.
Ion MirelPolytechnic University of Timisoara, Timisoara, Romania.
Bernadett PapSeqomics Biotechnology Ltd, Szeged, Hungary.
Adina NegreaPolytechnic University of Timisoara, Timisoara, Romania.
Eva KondorosiHungarian Academy of Sciences, Biological Research Centre, Temesvari krt. 62., Szeged, 6726 Hungary.
Tibor BíróSzent István University, Faculty of Economics, Agricultural and Health Studies, Szarvas, Hungary.
Gergely MarótiPolytechnic University of Timisoara, Timisoara, Romania ; Hungarian Academy of Sciences, Biological Research Centre, Temesvari krt. 62., Szeged, 6726 Hungary.
Polytechnic University of Timişoara · ROHungarian Academy of Sciences · HUHUN-REN Szegedi Biológiai Kutatóközpont · HUMagyar Agrár- és Élettudományi Egyetem · HUSeqOmics Biotechnology (Hungary) · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiohydrogen production through dark fermentation using organic waste as a substrate has gained increasing attention in recent years, mostly because of the economic advantages of coupling renewable, clean energy production with biological waste treatment. An ideal approach is the use of selected microbial inocula that are able to degrade complex organic substrates with simultaneous biohydrogen generation. Unfortunately, even with a specifically designed starting inoculum, there is still a number of parameters, mostly with regard to the fermentation conditions, that need to be improved in order to achieve a viable, large-scale, and technologically feasible solution. In this study, statistics-based factorial experimental design methods were applied to investigate the impact of various biological, physical, and chemical parameters, as well as the interactions between them on the biohydrogen production rates.

resultsBy developing and applying a central composite experimental design strategy, the effects of the independent variables on biohydrogen production were determined. The initial pH value was shown to have the largest effect on the biohydrogen production process. High-throughput sequencing-based metagenomic assessments of microbial communities revealed a clear shift towards a Clostridium sp.-dominated environment, as the responses of the variables investigated were maximized towards the highest H2-producing potential. Mass spectrometry analysis suggested that the microbial consortium largely followed hydrogen-generating metabolic pathways, with the simultaneous degradation of complex organic compounds, and thus also performed a biological treatment of the beer brewing industry wastewater used as a fermentation substrate.

conclusionsTherefore, we have developed a complex optimization strategy for batch-mode biohydrogen production using a defined microbial consortium as the starting inoculum and beer brewery wastewater as the fermentation substrate. These results have the potential to bring us closer to an optimized, industrial-scale system which will serve the dual purpose of wastewater pre-treatment and concomitant biohydrogen production.

Indexed as

BiohydrogenCentral composite experimental designIndustrial wastewaterMetagenomicsMicrobial inocula

Identifiers

PMID25278996
PMCPMC4177422
OpenAlexW2159084279

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.