Classifying the pesticides in foods between GC-amenable and LC-amenable using the prediction model with molecular descriptors
Posters | 2020 | Agilent TechnologiesInstrumentation
GC/MSD, LC/MS
IndustriesFood & Agriculture
ManufacturerAgilent Technologies
Key wordsboth, learning, machine, descriptor, pesticides, amenable, classification, atoms, pesticide, tech, ensemble, execution, methyl, list, qspr, refractivity, petitjean, polarizabilities, xlogp, aldicarb, caret, fenamiphos, topological, methiocarb, methods, polarizability, number, implicit, sulfone, sulfoxide, hydrogens, descriptors, sum, endosulfan, between, accuracy, eurl, method, molecular, model, multiresidue, prediction, parathion, alpna, amenabilities, benuralin, clortoluron, dichloruanid, diufenican, piridafenthion
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A Fast Analysis of the GC/MS/MS Amenable Pesticides Regulated by the California Bureau of Cannabis Control
2019|Agilent Technologies|Applications
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