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Record W4410873937 · doi:10.5267/j.ccl.2025.4.001

Development and validation of an innovative HPLC-UV method for determination of Metalaxyl-M in flowable suspension fungicide formulas

2025· article· en· W4410873937 on OpenAlexvenueno aff
Ismael M. Elkamhawy

Bibliographic record

VenueCurrent Chemistry Letters · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPesticide Residue Analysis and Safety
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryMetalaxylFungicideSuspension (topology)High-performance liquid chromatographyChromatographyBotany

Abstract

fetched live from OpenAlex

Metalaxyl-M is a modern and more efficient version of metalaxyl which is designated to provide effective control of damaging fungal diseases. This work aimed to develop and validate a low-cost, accurate, fast, and simple analytical method for determination of active ingredient metalaxyl-M using high-performance liquid chromatography with ultraviolet detection (HPLC-UV). The development of the novel method was performed on reversed-phase brownlee™ C-18 column at constant temperature 30 ºC. The mobile phase consists of acetonitrile and distilled water in volumetric ratio 62.5:37.5, a flow rate of 1.2 mL/min, and the detective wavelength at 270 nm. The validation protocol underscore in our study was SANCO/3030/99 rev. 5. Specificity, linearity, LOD, LOQ, precision, recovery, and accuracy parameters were calculated and discussed. The values for multiple correlation coefficient (R2 ≥ 0.990), relative standard deviation (RSD < 1.5 %), recoveries ranged from (99.21 - 101.16 %) were found within acceptance criteria.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.025
GPT teacher head0.298
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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