Applications from the field of Food & Agriculture | LabRulez ICPMS

Tea Tree Oil on Rtx-Wax

Applications

| 2019 | Restek

GC, GC columns, Consumables

Instrumentation

GC, GC columns, Consumables

Manufacturer

Agilent Technologies, Restek

Industries

Food & Agriculture

Tea Tree Oil on Rxi-5Sil MS (20 m, 0.18 mm ID, 0.18 μm)

Applications

| 2019 | Restek

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

Instrumentation

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

Manufacturer

Agilent Technologies, Restek

Industries

Food & Agriculture

Tea Tree Oil on Rxi-5Sil MS (10 m, 0.15 mm ID, 0.15 μm)

Applications

| 2019 | Restek

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

Instrumentation

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

Manufacturer

Agilent Technologies, Restek

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

Does Your Dog Have Anxiety After a Rough Day at the Lake: Analysis of CBD Extracts for Dog Treats

Posters

| 2019 | Agilent Technologies

GC/MSD, GC/MS/MS, GC/HRMS, GC/Q-TOF

Instrumentation

GC/MSD, GC/MS/MS, GC/HRMS, GC/Q-TOF

Manufacturer

Agilent Technologies

Industries

Food & Agriculture

60-Second Screening of Foods Using the Agilent QuickProbe GC/MS System

Applications

| 2019 | Agilent Technologies

GC/MSD, Thermal desorption, GC/SQ

Instrumentation

GC/MSD, Thermal desorption, GC/SQ

Manufacturer

Agilent Technologies

Industries

Food & Agriculture

Analysis of Oil and Fat containing foods by fully automated sample preparation using a PAL3 coupled with a 7890 GC and a 5977 MSD system according to AOAC 996.01

Applications

| 2018 | Agilent Technologies

GC/MSD, GC/SQ

Instrumentation

GC/MSD, GC/SQ

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

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

Interview: Using Agilent Resolve to Support Agricultural Research

Others

| 2024 | Agilent Technologies

RAMAN Spectroscopy

Instrumentation

RAMAN Spectroscopy

Manufacturer

Agilent Technologies

Industries

Food & Agriculture

Applications from the field of Food & Agriculture | LabRulez ICPMS

Tea Tree Oil on Rtx-Wax

Tea Tree Oil on Rxi-5Sil MS (20 m, 0.18 mm ID, 0.18 μm)

Tea Tree Oil on Rxi-5Sil MS (10 m, 0.15 mm ID, 0.15 μm)

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

Does Your Dog Have Anxiety After a Rough Day at the Lake: Analysis of CBD Extracts for Dog Treats

60-Second Screening of Foods Using the Agilent QuickProbe GC/MS System

Analysis of Oil and Fat containing foods by fully automated sample preparation using a PAL3 coupled with a 7890 GC and a 5977 MSD system according to AOAC 996.01

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

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

Interview: Using Agilent Resolve to Support Agricultural Research

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