Applications from the field of Food & Agriculture from Agilent Technologies | 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

Handbook of ICP-QQQ Applications using the Agilent 8800 and 8900

Guides

| 2022 | Agilent Technologies

GC, HPLC, ICP/MS, Speciation analysis, ICP/MS/MS

Instrumentation

GC, HPLC, ICP/MS, Speciation analysis, ICP/MS/MS

Manufacturer

Agilent Technologies, Elemental Scientific

Industries

Environmental, Food & Agriculture, Energy & Chemicals , Pharma & Biopharma, Materials Testing, Semiconductor Analysis , Clinical Research

High Resolution GC/MS Analysis of Ginkgolic Acids in Ginkgo biloba Plants, Extracts, and Dietary Supplements Using the Agilent 5975C Series GC/MSD

Applications

| 2015 | Agilent Technologies

GC/MSD, GC/SQ

Instrumentation

GC/MSD, GC/SQ

Manufacturer

Agilent Technologies

Industries

Food & Agriculture

Lowering Detection Limits for Routine Analysis of Pesticides Residues in Foods Using the Agilent 7000C Triple Quadrupole GC/MS

Applications

| 2014 | Agilent Technologies

GC/MSD, GC/MS/MS, GC/QQQ

Instrumentation

GC/MSD, GC/MS/MS, GC/QQQ

Manufacturer

Agilent Technologies

Industries

Food & Agriculture

PAH Analyses with High Efficiency GC Columns: Column Selection and Best Practices

Applications

| 2010 | Agilent Technologies

GC/MSD, GC/SQ, GC columns, Consumables

Instrumentation

GC/MSD, GC/SQ, GC columns, Consumables

Manufacturer

Agilent Technologies

Industries

Environmental, Food & Agriculture

FAME, C18 - C20 - FAME analysis of conjugated linoleic acids

Applications

| 2011 | Agilent Technologies

GC, GC columns, Consumables

Instrumentation

GC, GC columns, Consumables

Manufacturer

Agilent Technologies

Industries

Food & Agriculture

New GC Column Technology for Old Problems in Fatty Acid Analysis

Presentations

| 2020 | Agilent Technologies

GC columns, Consumables

Instrumentation

GC columns, Consumables

Manufacturer

Agilent Technologies

Industries

Food & Agriculture

Analysis of Multipesticide Residues in Tobacco

Applications

| 2015 | Agilent Technologies

GC/MSD, GC/MS/MS, GC/QQQ

Instrumentation

GC/MSD, GC/MS/MS, GC/QQQ

Manufacturer

Agilent Technologies

Industries

Food & Agriculture

Applications from the field of Food & Agriculture from Agilent Technologies | 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

Handbook of ICP-QQQ Applications using the Agilent 8800 and 8900

High Resolution GC/MS Analysis of Ginkgolic Acids in Ginkgo biloba Plants, Extracts, and Dietary Supplements Using the Agilent 5975C Series GC/MSD

Lowering Detection Limits for Routine Analysis of Pesticides Residues in Foods Using the Agilent 7000C Triple Quadrupole GC/MS

PAH Analyses with High Efficiency GC Columns: Column Selection and Best Practices

FAME, C18 - C20 - FAME analysis of conjugated linoleic acids

New GC Column Technology for Old Problems in Fatty Acid Analysis

Analysis of Multipesticide Residues in Tobacco

Related content

Material genetics will be pursued by the AMULET project, which succeeded in the Excellent Research Call

We are trying to succeed with the spin-off company Galochrom

V4+ Conference on Environment and Health in Central Europe