Residue Removal of Pesticides from Brinjal Using Different Processing Methods
Bibliographic record
Abstract
The present study was conducted on the residual removal of six pesticides (bifenthrin, profenofos, endosulfan, imidacloprid difenthiuron and emamectin benzoate) from brinjal by using various house hold processing methods such as washing, detergent washing, peeling, drying and cooking/frying etc. The data revealed that high amount of all pesticide residues (above MRLs) were present and unfit for human consumption in raw form. From water soluble pesticides diafenthiuron reduced more in blanching as compared with imidacloprid and emamectin benzoate. Frying reduced the residues more effectively, rendering it fit for human consumption. Washing followed by frying reduced the fat soluble residues >70% whereas water soluble pesticide residues >80%. It was concluded that each processing was found to be effective in reduction of pesticides residues.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".