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Record W2032522161 · doi:10.1002/abio.200390050

Inactivation of <i>Escherichia coli</i> K12 Using Atmospheric Gas Plasma Produced from Humidified Working Gas

2003· article· en· W2032522161 on OpenAlexfundno aff
Yasuhiko MAEDA, Noriyuki Igura, M. Shimoda, Itaru Hayakawa

Bibliographic record

VenueActa Biotechnologica · 2003
Typearticle
Languageen
FieldMedicine
TopicPlasma Applications and Diagnostics
Canadian institutionsnot available
FundersInstitute of Genetics
KeywordsChemistryAtmospheric pressureOzoneEscherichia coliRelative humidityAtmospheric-pressure plasmaSodiumPlasmaHumidityChromatographyAnalytical Chemistry (journal)BiochemistryOrganic chemistryMeteorology

Abstract

fetched live from OpenAlex

Abstract The bactericidal effect of atmospheric gas plasma (AGP) on Escherichia coli K12 cells in 0.9% [w/v] sodium chloride was investigated under normal atmospheric pressure. A plasma‐generating unit was supplied with working gas (air) at 25 °C and a relative humidity (RH) of 0, 14, 32, 43, 50, 60 or 70%. Gas plasma was generated using radio frequency discharge (20 kHz) under atmospheric pressure, and blown onto the surface of an E. coli cell suspension. Seven log‐cycles of cells were completely inactivated within 15 minutes of the start of AGP treatments using working gas at 32, 43, 50 or 60% RH. AGP at 14% RH inactivated only 2 log‐cycles of cells, but no inactivation was observed when air at 0% or 70% RH was used. The inactivation curves were biphasic and the rate constants for both stages were closely related to the RH of the working gas. The rate of cell inactivation was at its maximum at an RH of 43%. The bactericidal effect of the AGP treatment was not a result of ozone generation, however, the moisture content of the working gas was a significant factor in ensuring that E. coli K12 inactivation occurred. The interpretation of these data was that chemical species generated from the water molecules in the working gas were bactericidal in their effects.

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)0.001
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 score0.066
Threshold uncertainty score0.736

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.032
GPT teacher head0.250
Teacher spread0.218 · 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

Citations10
Published2003
Admission routes1
Has abstractyes

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