Gas Chromatography and Mass Spectroscopy Based Detection of Autoinducer-2 Like Molecule in the Circulation of Tuberculosis Infected Cases
Bibliographic record
Abstract
Autoinducers play a vital role in Mycobacterium tuberculosis by mediating the cell to cell communications resulting in the processes like biofilm formation, virulence and pathogenesis. The autoinducer-2 is a highly instable molecule which undergoes cyclization and often remains in undetectable concentrations. The present study is focused on the isolation and identification of autoinducer-2 ( 4,5-dihydroxy-2,3-pentanedione ) and similar molecules by Gas chromatography and Mass spectroscopy. The GCMS analysis also revealed the presence of 1,5 bis(trimethyl trisilyl)1,5-pentanedione in the sera of the tuberculosis positive, the lipid extract of M. tuberculosis cells showed the presence of 4,4 dimethyl 1-phenyl-1,3-pentanedione. However, in either cases, these molecules were separated and detected in the Rtx-5MS, cross bonded with 5% diphenyl and 95% dimethyl polysiloxane (30m, 0.25 mm ID, 0.25µm) in a splitless mode.The study concludes that Mycobacterium infection also leads to the release of autoinducer like molecules in the circulation, which can be used as a diagnostic marker or can be targeted to inhibit the bacterial colonies in the host tissue.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".