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Record W1982512758 · doi:10.1139/w09-062

The role of<i>Acidithiobacillus ferrooxidans</i>in alleviating the inhibitory effect of thiosulfate on the growth of acidophilic<i>Acidiphilium</i>species isolated from acid mine drainage samples from Garubathan, India

2009· article· en· W1982512758 on OpenAlexvenueno aff
Anirudra Gurung, Ranadhir Chakraborty

Bibliographic record

VenueCanadian Journal of Microbiology · 2009
Typearticle
Languageen
FieldEngineering
TopicMetal Extraction and Bioleaching
Canadian institutionsnot available
FundersBose InstituteCouncil of Scientific and Industrial Research, India
KeywordsThiosulfateHeterotrophAcid mine drainageSulfurAcidithiobacillus ferrooxidansMicrobiologyBacteriaStrain (injury)ChemistryFood scienceAcidithiobacillus thiooxidansBacterial growthBiologyEnvironmental chemistryBioleachingOrganic chemistry

Abstract

fetched live from OpenAlex

Several acidophilic chemolithoautotrophic and heterotrophic strains were isolated from acid mine drainage samples from Garubathan, West Bengal, India. The strains, chemolithoautotrophic DK6.1 and heterotrophic DKAP1.1, used in this study were assigned to the species Acidithiobacillus ferrooxidans and Acidiphilium cryptum, respectively. Unamended filtered and subsequently autoclaved elemental sulfur spent medium of A. ferrooxidans was used as the medium to study heterotrophic growth of A. cryptum DKAP1.1. While characterizing the heterotrophic strain, an inhibitory effect of thiosulfate on A. cryptum DKAP1.1 was identified. The lethality of thiosulfate broth was directly related to the concentration of thiosulfate in the medium. Nonviability of A. cryptum DKAP1.1 in the presence of thiosulfate was alleviated by A. ferrooxidans DK6.1 in co-culture. Microbiological data on a positive growth effect for A. ferrooxidans DK6.1 caused by co-culturing in solid media in the presence of A. cryptum DKAP1.1 is also presented.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.026
Threshold uncertainty score0.558

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.176
Teacher spread0.169 · 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 teacher head, 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

Citations18
Published2009
Admission routes1
Has abstractyes

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