EFFECT OF SOME CHEMICAL SANITIZERS ON MICROBIAL QUALITY OF DAIRY FARM MILK
Bibliographic record
Abstract
Biofilm formation on milk equipment is a well-known phenomenon and it has caused pollution, safety hazards and substantial economic loss. This study was undertaken to examine the efficacy of the sanitizers including iodophore, quaternary ammonium compounds and calcium hypochlorite against total mesophilic count (TMC), total psychrophilic count (TPC), total thermoduric count (TTC) and total coliform count MPN/ ml of the examined raw milk samples. Additionally the sanitizers were also tested against Escherichia coli strains isolated from the examined milk samples. The result shows that psychotrophic bacteria were more resistant on sanitizer used than thermoduric bacteria. Among the three commercially sanitizer tested, quaternary ammonium compound was the most potent against microorganisms after 20 min exposure time using warm water. However, calcium hypochlorite and iodophore showed a lower effect on the bacterial groups. The resistance of Escherichia coli strains to the sanitizer was strain dependent. It was concluded that the resistances of microbes to different sanitizers should be taken into account when planning the cleaning of milking equipment.
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 | 0.000 | 0.001 |
| 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) | 0.001 | 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".