MétaCan
Menu
Back to cohort
Record W7110470337

Immobilize mor kükürtsüz bakteriler ile biyohidrojen üretimi.

2018· other· en· W7110470337 on OpenAlexaboutno aff

Bibliographic record

VenueOpenMETU (Middle East Technical University) · 2018
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPhotobioreactorSucroseHydrogen productionRhodobacterYield (engineering)BiohydrogenHydrogen
DOInot available

Abstract

fetched live from OpenAlex

Biological hydrogen production by purple non-sulfur bacteria is an attractive route to build a large scale hydrogen production system in outdoor natural conditions from various renewable sources. In this study, biological hydrogen production was carried out by agar immobilized purple non-sulfur bacteria in indoor and outdoor conditions. A novel photobioreactor (1.4 L volume) was built and operated continuously for 20 to 64 days in sequential batch mode for long-term hydrogen production using agar-immobilized Rhodobacter capsulatus YO3. The immobilized panel photobioreactor was also operated under natural outdoor conditions to show the feasibility of hydrogen production on a pre-pilot scale. The experiments were carried out in Middle East Technical University, Ankara, Turkey between May and June, 2016. The effects of initial sucrose concentration on hydrogen production, productivity and yield were examined in a long-term operation. Long-term hydrogen production was realized either on sucrose or sugar beet molasses by agar (4% w/v) immobilized Rhodobacter capsulatus YO3. The highest hydrogen yield and hydrogen productivity obtained were 19 mol H2/mol sucrose and 0.73 mmol H2 L-1h-1 in indoors on 5 mM initial sucrose. The effects of higher initial sucrose concentration on hydrogen production were also investigated. The highest hydrogen yield and productivity were 6.1 ± 0.2 mol H2/mol sucrose and 0.87 ± 0.06 mmol H2 L-1h-1, respectively on 10 mM sucrose. The highest hydrogen yield (9.1mol H2/mol sucrose) and productivity (0.64 mmol H2 L-1h-1) were obtained by using sugar beet molasses in indoor conditions. The highest productivity of 0.79±0.04 mmol H2 L-1 h-1 and yield of 5.2±0.4 mol H2/mol sucrose were obtained in outdoors. The present study demonstrated that the immobilized system is feasible for long-term hydrogen production even under varying temperature and illumination. The immobilized system also prevented sudden pH drops by sucrose utilization during the process. Hydrogen production from glucose was carried out as the last part of the study, which was carried out in University of Montreal, Canada. For this purpose, microaerobic dark fermentation was employed to demonstrate and enhance hydrogen production from glucose. Therefore, immobilized cultures of R. capsulatus JP91 and R. palustris CGA009 have been used in single and sequential dark and photofermentative processes. Response surface methodology with the Box-Behnken design was employed to optimize the key parameters such as glucose, inoculum and oxygen concentrations. The highest hydrogen yield and productivity obtained were 7.8 mol H2/mol glucose and 0.15 mmol H2 L-1h-1, respectively by R. capsulatus JP91. These results indicated that biohydrogen production by immobilized purple non-sulfur bacteria is promising particularly for large-scale outdoor natural conditions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.220
Teacher spread0.187 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueOpenMETU (Middle East Technical University)French-language works237,207