Applications | LabRulez ICPMS

Comprehensive machine learning prediction of GC/MS pesticide recovery based on the molecular fingerprinting for food QA/QC

Posters

| 2019 | Agilent Technologies

GC/MSD

Instrumentation

GC/MSD

Manufacturer

Agilent Technologies

Industries

Food & Agriculture

Optimum molecular descriptors based on 89 machine learning methods for predicting the recovery rate of pesticides in crops by GC-MS

Posters

| 2020 | Agilent Technologies

GC/MSD, Software

Instrumentation

GC/MSD, Software

Manufacturer

Agilent Technologies

Industries

Food & Agriculture

Classifying the pesticides in foods between GC-amenable and LC-amenable using the prediction model with molecular descriptors

Posters

| 2020 | Agilent Technologies

GC/MSD, LC/MS

Instrumentation

GC/MSD, LC/MS

Manufacturer

Agilent Technologies

Industries

Food & Agriculture

Agilent ASMS 2020 Posters Book

Posters

| 2020 | Agilent Technologies (ASMS)

GC/MSD, GC/MS/MS, GC/HRMS, HeadSpace, Sample Preparation, GC/SQ, GC/Q-TOF, Ion Mobility, LC/TOF, LC/HRMS, LC/MS, LC/MS/MS, LC/QQQ, LC/SQ

Instrumentation

GC/MSD, GC/MS/MS, GC/HRMS, HeadSpace, Sample Preparation, GC/SQ, GC/Q-TOF, Ion Mobility, LC/TOF, LC/HRMS, LC/MS, LC/MS/MS, LC/QQQ, LC/SQ

Manufacturer

Agilent Technologies

Industries

Food & Agriculture, Forensics , Pharma & Biopharma, Proteomics , Materials Testing, Clinical Research

Applications | LabRulez ICPMS

Comprehensive machine learning prediction of GC/MS pesticide recovery based on the molecular fingerprinting for food QA/QC

Optimum molecular descriptors based on 89 machine learning methods for predicting the recovery rate of pesticides in crops by GC-MS

Classifying the pesticides in foods between GC-amenable and LC-amenable using the prediction model with molecular descriptors

Agilent ASMS 2020 Posters Book

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