Comparison of fluorogenic and chromogenic assay systems in the detection of Escherichia coli O157 by a novel polymyxin-based ELISA
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
AIMS: Different indicator enzymes and fluorogenic or chromogenic substrates were compared as detector systems in a novel polymyxin-based enzyme-linked immunosorbent assay (ELISA) for Escherichia coli O157 lipopolysaccharide (LPS) antigens. METHODS AND RESULTS: An ELISA system was developed using polymyxin immobilized in the wells of a microtitre plate as a high-affinity adsorbent for E. coli O157 LPS antigens, which were immunoenzymatically detected using anti-E. coli O157 antibody-enzyme conjugates. With peroxidase as the indicator enzyme the fluorogenic substrates Amplex Red and QuantaBlu produced only slight improvement in the performance characteristics of the polymyxin-ELISA compared with the use of the chromogenic substrate tetramethylbenzidine (TMB). On the other hand, with alkaline phosphatase as the indicator enzyme a pronounced improvement in assay performance was noted using the fluorogenic substrate Attophos compared with the chromogenic substrate p-nitrophenylphosphate. CONCLUSIONS: The detection system exhibiting the best characteristics with respect to cost, ease of use and overall performance in the detection of E. coli O157 in enrichment cultures from a variety of solid foods was based on the use of peroxidase as the indicator enzyme with the chromogenic substrate TMB. SIGNIFICANCE AND IMPACT OF THE STUDY: The polymyxin-ELISA provides a rapid, simple and inexpensive assay system for the detection of E. coli O157 in foods.
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 | 0.000 |
| 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 it