Applications from the field of Food & Agriculture | LabRulez ICPMS

Expanding Capabilities in Multi-Residue Pesticide Analysis Using The LCMS-8060

Applications

| 2016 | Shimadzu

LC/MS, LC/MS/MS, LC/QQQ

Instrumentation

LC/MS, LC/MS/MS, LC/QQQ

Manufacturer

Shimadzu

Industries

Food & Agriculture

Chromatography, Detection, and Software Tools to Aid in the Exploration of Delta-8 THC Distillates

Applications

| 2022 | Waters

HPLC, LC/MS

Instrumentation

HPLC, LC/MS

Manufacturer

Waters

Industries

Food & Agriculture

Increased Productivity in Pesticide Residue Analysis – Quantifying 440 Pesticides Following China GB 2763-2014:The Pesticide Explorer Collection – Standard Quantitation

Applications

| 2016 | Thermo Fisher Scientific

LC/MS, LC/MS/MS, LC/QQQ

Instrumentation

LC/MS, LC/MS/MS, LC/QQQ

Manufacturer

Thermo Fisher Scientific

Industries

Food & Agriculture

Increased Productivity in Pesticide Residue Analysis – Quantifying 440 Pesticides Following China GB 2763-2014: The Pesticide Explorer Collection – Standard Quantitation

Applications

| 2016 | Thermo Fisher Scientific

LC/MS, LC/MS/MS, LC/QQQ

Instrumentation

LC/MS, LC/MS/MS, LC/QQQ

Manufacturer

Thermo Fisher Scientific

Industries

Food & Agriculture

Separation of two sulfurated amino acids with other seventeen amino acids by HPLC with pre-column derivatization

Applications

| 2010 | Agilent Technologies

HPLC

Instrumentation

HPLC

Manufacturer

Agilent Technologies

Industries

Food & Agriculture, Pharma & Biopharma

Investigation of Components that Affect Flavors and Visualizing Differences in Tastes

Applications

| 2022 | Shimadzu

GC/MSD, HeadSpace, GC/SQ, LC/MS, LC/MS/MS, LC/QQQ

Instrumentation

GC/MSD, HeadSpace, GC/SQ, LC/MS, LC/MS/MS, LC/QQQ

Manufacturer

Shimadzu

Industries

Food & Agriculture

A High-Throughput Potency Determination of 19 Cannabinoids in Hemp Plant Material and Finished Tinctures using LabSolutions and the Cannabis Analyzer for Potency

Applications

| 2020 | Shimadzu

HPLC

Instrumentation

HPLC

Manufacturer

Shimadzu

Industries

Food & Agriculture

Chemovar Typing of Cannabis Strains with MarkerView™ Software and the SCIEX X500R QTOF System

Applications

| 2020 | SCIEX

LC/TOF, LC/HRMS, LC/MS, LC/MS/MS

Instrumentation

LC/TOF, LC/HRMS, LC/MS, LC/MS/MS

Manufacturer

SCIEX

Industries

Food & Agriculture

Classification and Profiling of Food Containers by Principal Component Analysis with Their UV-Visible-NIR Spectra

Applications

| 2013 | Shimadzu

NIR Spectroscopy, UV–VIS spectrophotometry

Instrumentation

NIR Spectroscopy, UV–VIS spectrophotometry

Manufacturer

Shimadzu

Industries

Food & Agriculture

Reflectance Measurements of an Apple and Pear, and Prediction of Elapsed Days by Multivariate Analysis

Applications

| 2013 | Shimadzu

NIR Spectroscopy, UV–VIS spectrophotometry

Instrumentation

NIR Spectroscopy, UV–VIS spectrophotometry

Manufacturer

Shimadzu

Industries

Food & Agriculture

Applications from the field of Food & Agriculture | LabRulez ICPMS

Expanding Capabilities in Multi-Residue Pesticide Analysis Using The LCMS-8060

Chromatography, Detection, and Software Tools to Aid in the Exploration of Delta-8 THC Distillates

Increased Productivity in Pesticide Residue Analysis – Quantifying 440 Pesticides Following China GB 2763-2014:The Pesticide Explorer Collection – Standard Quantitation

Increased Productivity in Pesticide Residue Analysis – Quantifying 440 Pesticides Following China GB 2763-2014: The Pesticide Explorer Collection – Standard Quantitation

Separation of two sulfurated amino acids with other seventeen amino acids by HPLC with pre-column derivatization

Investigation of Components that Affect Flavors and Visualizing Differences in Tastes

A High-Throughput Potency Determination of 19 Cannabinoids in Hemp Plant Material and Finished Tinctures using LabSolutions and the Cannabis Analyzer for Potency

Chemovar Typing of Cannabis Strains with MarkerView™ Software and the SCIEX X500R QTOF System

Classification and Profiling of Food Containers by Principal Component Analysis with Their UV-Visible-NIR Spectra

Reflectance Measurements of an Apple and Pear, and Prediction of Elapsed Days by Multivariate Analysis

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