An electronic DNA microarray technique for detection and differentiation of viable Campylobacter species
Bibliographic record
Abstract
An electronic oligonucleotide microarray technique was developed for detection and differentiation of the viable Campylobacter species, C. jejuni, C. coli, and C. lari. This development consisted of four major components: identification of single nucleotide polymorphisms (SNPs) within the hsp60 gene as species markers, design of fluorescently labelled SNP-based reporters, development of an electronic microarray detection, and application of the integrated technique to analysis of Campylobacter species in food samples. A unique capability of this technique is the specific detection of viable cells and not dead ones. This is achieved by using mRNA of the 60 kDa heat-shock protein as the viability marker. The identification of two unique SNPs closely located at positions 291 and 294 of the hsp60 gene enabled the differentiation of the three Campylobacter species. This technique was able to detect as few as two viable Campylobacter cells. The analysis of 19 blind Campylobacter samples showed 100% agreement with their identities obtained using pulsed-field gel electrophoresis. The analysis of six chicken samples revealed the presence of C. coli in one of the samples.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".