Determination of Methomyl and Imidacloprid in Water by Adsorption on Ni-Al Hydrotalcite Using HPLC
Bibliographic record
Abstract
Column solid phase extraction (SPE) and batch procedures based on the use of synthetic hydrotalcite (HT) or layered double hydroxides (LDH) as solid phase for adsorption and extraction of Methomyl (MEL) and Imidacloprid (IMP) pesticides in water are investigated. The determination of the pesticides was carried out by high performance liquid chromatography (HPLC). The study was performed to determine the influence of various operating parameters, such as initial concentration, contact time, pH, and sorption capacity, on the procedure performance. The results indicated that calcinedhydrotalcite of the type Ni/Al-NO3 is proved to be promising with sorption capacity (up to 43.02 mg g -1 at pH 4.5) for extracting pesticides from aqueous samples. Spiked water samples were tested by batch method and by passing the samples through the calcinated Ni-Al, HT column (500 mg) at a constant flow rate (4 mL min -1 ). Adsorbed analytes were eluted with acetonitrile and analyzed by HPLC. Acceptable high recoveries with simple, reliable and sensitive HPLC procedure were obtained for the analysis of Methomyl and Imidacloprid in water samples.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
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".