2167. Evaluation of Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy for Rapid and Reagent-Free Identification of Burkholderia spp.
Bibliographic record
Abstract
Abstract Background Burkholderia cepacia complex including B. gladioli are opportunistic pathogenic bacteria affecting the immunocompromised population. For prognosis and appropriate treatment, rapid and accurate species identification is particularly important for those diagnosed with cystic fibrosis (CF). Conventional biochemical identification techniques are insensitive and problematic for identifying Burkholderia spp., leading to common misidentification or inconclusive results. Recent studies have successfully employed attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy for rapid, reagent-free and cost-effective microbial identification. In the present study, identification of Burkholderia spp. by this technique is investigated. Methods A total of 59 isolates belonging to 7 species of Burkholderia were included in this study; all these isolates had been well-characterized by VITEK 2, 16S rRNA sequencing, random amplification of polymorphic DNA (recA typing) and/or matrix-assisted laser desorption/ionization time of flight mass spectrometry. ATR-FTIR spectra were acquired directly from colonies on 5% blood agar plates. Results A spectral database containing ATR-FTIR spectra of over 4300 bacterial isolates, encompassing over 70 genera and 190 species, was updated to include spectra of 39 isolates collected in this study and employed in the identification of the other isolates (n = 20). All isolates were correctly identified as Burkholderia by a multitier search approach. For Burkholderia species identification, spectra belonging to 39 isolates representative of all 7 species were used to construct a spectral database employed to identify the other 20 isolates [B. anthina (n = 2), B. gladioli (n = 8), B. multivorans (n = 7), and B. vietnamiensis (n = 3)]. Compared with VITEK 2 (30% correct species identification), ATR-FTIR spectroscopy correctly identified all but one isolate, resulting in overall correct species identification of 95%. Prospectively (10 months), 5 of 1100 isolates collected were identified as Burkholderia spp. by ATR-FTIR spectroscopy in concordance with VITEK 2. Conclusion ATR-FTIR spectroscopy can provide the means of rapid Burkholderia spp. identification for appropriate treatment of those diagnosed with CF. Disclosures All authors: No reported disclosures.
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 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 | 0.001 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".