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Record W1843106204 · doi:10.1089/fpd.2013.1641

Effect of Acid Adaptation on the Environmental Stress Tolerance of Three Strains of <i>Vibrio parahaemolyticus</i>

2014· article· en· W1843106204 on OpenAlexfundno aff
Ming‐Lun Chiang, Hsi-Chia Chen, Chieh Wu, Ming‐Ju Chen

Bibliographic record

VenueFoodborne Pathogens and Disease · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVibrio bacteria research studies
Canadian institutionsnot available
FundersFood and Drug AdministrationBeef Cattle Research CouncilNational Science Council
KeywordsVibrio parahaemolyticusHydrogen peroxideMicrobiologyAdaptation (eye)BiologyFood scienceChemistryBacteriaBiochemistry

Abstract

fetched live from OpenAlex

Three strains of Vibrio parahaemolyticus (690, BCRC 13023, and BCRC 13025), involved in foodborne outbreaks in Taiwan, were subjected to acid adaptation at pH 5.5 for 90 min. The effects of acid adaptation on the tolerance of V. parahaemolyticus to various environmental stresses, including heat (47°C), cold (4°C and -20°C), ethanol (8%), high salt (20% NaCl), and hydrogen peroxide (20 ppm) were examined. Results showed that acid adaptation increased the thermal tolerance of the three test strains of V. parahaemolyticus, while it did not affect their cold tolerance. Acid adaptation also increased the ethanol tolerance in V. parahaemolyticus 690 and BCRC 13025, but not in BCRC 13023. Differences in the tolerance to high salts were noted among the three strains after prior acid adaptation. However, these acid-adapted V. parahaemolyticus strains were more susceptible to hydrogen peroxide than their nonadapted controls. These findings demonstrated that acid adaption responses of V. parahaemolyticus varied among strains and types of stress challenge.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.266
Threshold uncertainty score0.320

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
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)0.0000.000

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 head0.009
GPT teacher head0.223
Teacher spread0.214 · 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

Citations12
Published2014
Admission routes1
Has abstractyes

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