Recent Advancement in Various Electrochemical and Immunosensing Strategies for Detection of Chloramphenicol
Bibliographic record
Abstract
The application of Chloramphenicol (CAP), a broad spectrum antibiotic, has been restricted in poultry, aquatic and other food producing animals in EU, Canada and US completely due to its numerous toxic, adverse and fatal side effects in human and veterinary. Hence, there is a constant requirement for accurate, simpler, faster and improved analytical method for its detection. Several methods have been developed and appeared in literature for the detection of CAP. Among all the techniques, the immonosening and electrochemical methods have been considered the foremost methods because of their unique features. The immunosensor show great sensitivity and selectivity, on the other hand low cost, easy operation, fast response time and excellent potential for miniaturization and construction for portable equipment applications make electrochemical sensors as preferred choice. Thus, this mini review brings the various immunosensing and electrochemical strategies applied for the preparation of CAP sensor in last twelve years (from 2000-2013) on one platform.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".