Optimization and validation of liquid-liquid extraction with partition at low temperature to determine the herbicide halauxifen-methyl in water
Notice bibliographique
Résumé
The halauxifen-methyl, a pre-emergent herbicide of the arylpicolonate chemical group and with a mode of action as an auxin mimic, was authorized in Brazil in 2021 to combat weeds in corn and soybean crops. In other countries such as Canada, Australia, and the United States, this herbicide is also used in crops of various cereals. To date, there are few studies on methodologies for quantifying this herbicide in water. The present study aimed to optimize and validate liquid-liquid extraction with low-temperature partitioning (LLE-LTP) to determine the herbicide halauxifen-methyl in water, using high-performance liquid chromatography with diode array detection (HPLC-DAD). Initially, a standard working solution at 4 mg L⁻¹ was prepared and analyzed in an absorption spectrophotometer in the ultraviolet and visible regions, to identify the wavelengths of maximum absorbance. Then, the chromatographic conditions were evaluated, including wavelength, mobile phase flow, chromatographic column, column temperature, and injection volume. The parameters of the LLE-LTP technique were adjusted, considering the composition of the extracting phase, freezing time and ionic strength. The method was then validated according to the SANTE protocol. In the photodegradation analysis, 4 mL of water collected from a river were added to each of the 48 vials, fortifying the water to a concentration of 120 μg L⁻¹. Part of the samples was exposed to sunlight, while another part was protected with aluminum foil and stored in a sealed box. The samples were subjected to extraction and chromatographic analysis every five days, with two analyses performed every ten days. The results indicated that the ideal chromatographic conditions were established with a wavelength of 250 nm, a mobile phase of acetonitrile and water in a ratio of 80:20 v/v, Kinetex column, flow rate of 0.2 mL min⁻¹, column temperature of 30 °C and injection volume of 10 μL. The optimal extraction conditions included 7.5 mL of acetonitrile, 0.5 mL of dichloromethane, 90 min of freezing and 0.2 g of NaCl. Method validation revealed that LLE-LTP was selective, with a limit of quantification of 0.448 μg L⁻¹. The linearity range was observed between 0.448 μg L⁻¹ and 120 μg L⁻¹, with precision confirmed by means of the relative standard deviation between 2.40% and 11.51%, and accuracy validated by means of recovery rates between 86.60% and 110.91%. The matrix effect found was -11.19%. The photodegradation study of this herbicide in aqueous medium revealed that the half-life under these conditions was 6 days and the degradation under sunlight in approximately 50 days. The proposed method showed efficiency in monitoring halauxifen-methyl, with a value obtained in the quantification below the maximum residue limit established for water in herbicides of the same class. Furthermore, the result obtained in this study was similar to the method proposed in the literature for this herbicide and this matrix.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».