Field detection and identification of a bioaerosol suite by pyrolysis‐gas chromatography‐ion mobility spectrometry*
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Improvements were made to a pyrolysis‐gas chromatography‐ion mobility spectrometry (Py‐GC‐IMS) stand‐alone biodetector to provide more pyrolyzate compound information to the IMS detector module. Air carrier gas flowing continuously through the pyrolysis tube, the rate of air flow, and pyrolysis rate were found to improve the relative quality and quantity of pyrolyzate compounds detected by the IMS detector compared to earlier work. These improvements allowed a greater degree of confidence in the correlation of biological aerosols obtained in outdoor testing scenarios to a standard GC‐IMS biological aerosol dataset. The airflow improvement allowed more biomarker compounds to be observed in the GC‐IMS data domain for aerosols of gram‐negative Erwinia herbicola (EH) and ovalbumin protein as compared to previous studies. Minimal differences were observed for gram‐positive spores of Bacillus subtilis var. globigii (BG) from that of earlier work. Prior outdoor aerosol challenges dealt with the detection of one organism, either EH or BG. Biological aerosols were disseminated in a Western Canadian prairie and the Py‐GC‐IMS was tested for its ability to detect the biological aerosols. The current series of outdoor trials consisted of three different biological aerosol challenges. Forty‐two trials were conducted and a simple area calculation of the GC‐IMS data domain biomarker peaks correlated with the correct bioaerosol challenge in 30 trials (71%). In another 7 trials, the status of an aerosol was determined to be biological in origin. Two additional trials had no discernible, unambiguous GC‐IMS biological response, because they were blank water sprays. Reproducible limits of detection were at a concentration of less than 0.5 bacterial analyte‐containing particle per liter of air. In order to realize this low concentration, an aerosol concentrator was used to concentrate 2000 l of air in 2.2 min. Previous outdoor aerosol trials have shown the Py‐GC‐IMS device to be a credible detector with respect to determining the presence of a biological aerosol. The current series of outdoor trials has provided a platform to show that the Py‐GC‐IMS can provide information more specific than a biological or non‐biological analysis to an aerosol when the time of dissemination is unknown to the operator. The Py‐GC‐IMS is shown to be able to discriminate between aerosols of a gram‐positive spore (BG), a gram‐negative bacterium (EH), and a protein (ovalbumin). © 2001 John Wiley & Sons, Inc. Field Analyt Chem Technol 5: 190–204, 2001
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it