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Record W4412165523 · doi:10.1021/acs.analchem.5c00694

Direct, Selective, and Rapid Measurement of HCN at Sub-ppb Levels Using HiT-CD-IMS: Applications to Cell Culture and Breath Analysis

2025· article· en· W4412165523 on OpenAlexaff
Mahmoud Tabrizchi, Brian De La Franier, Sandro Spagnolo, Saba Tabrizchi, Michael C. Thompson

Bibliographic record

VenueAnalytical Chemistry · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Chemical Sensor Technologies
Canadian institutionsYork UniversityUniversity of Toronto
Fundersnot available
KeywordsChemistryBreath gas analysisEnvironmental chemistryChromatography

Abstract

fetched live from OpenAlex

This study demonstrates the use of a research-grade ion mobility spectrometer combined with a high-temperature negative corona discharge ionization source (HiT-CD-IMS) to detect hydrogen cyanide (HCN) emitted by Pseudomonas aeruginosa (PA) cultures and in human breath. The HCN spectrum revealed distinct peaks for CN –, CNO –, and (CN) 2 – ions, with a resolving power of 63, successfully overcoming potential interferences such as the H 2 S peak by optimizing the experimental conditions. This approach achieved an estimated limit of detection (LOD) of 0.18 ppb. The method was applied to monitor HCN production in PA cultures, demonstrating a clear correlation between bacterial growth and HCN emission. Additionally, breath samples from the mouth cavity and nose-exhaled samples showed measurable HCN concentrations in the range of 40–300 ppb and below 10 ppb, respectively. The technique’s ability to measure HCN in complex biological environments with high sensitivity, even in the presence of water vapor and common respiratory compounds, underscores its potential for noninvasive detection of Pseudomonas aeruginosa in infections.

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 score0.029
Threshold uncertainty score0.687

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.014
GPT teacher head0.243
Teacher spread0.229 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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