Determination and Elimination of Microbial Load from Pickle’s Brand in Karachi
Bibliographic record
Abstract
The study is the elementary step to determine the causes of spoilage of fermented products and factors that could be remove to acquire the hygienic fermented products. Pickle is one of the mostly used fermented products especially as a side dish in Eastern countries, but it is developing a high rate of infectious diseases either due to its failing probiotic activity or due to increase harmful microbial flora in the pickle which are dominating the probiotics. The study is based on the determination of microbial load present in the pickle using MPN technique. The growth of fungi such as Aspergillus niger, Aspergillus flavus, Rhizopus, and bacteria Escherichia coli, Lactobacillus acidophilus andBacillus were isolated from the pickles samples used in this study. By using MPN technique, It was observed that the pickle of Rizwan Company had 1100 colonies in 100 ml of sample which can be extremely dangerous for consumption and the pickle from another brand Sundip Company showed the lowest amount i.e. 28 colonies in 100 ml of sample. Other brands that were tested also showed higher amount of organisms in between 150 to 460 colonies in 100 ml of sample. Elimination of the microbial load of pickle also performed on the pickle of National Company that gave a marvelous result the amount of organisms is dropped from 150 colonies to 11 colonies in 100 ml of sample. This study provides preliminary work and open new doors in assessing and improving the quality of pickles available in the market.
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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 | 0.001 | 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".