Application Notes: General

This work shows how thermal desorption with GC–MS is used to measure volatile organic biomarkers in the breath of individuals with malaria.

A sensitive, robust method for analysis of glyphosate in wide range of foods using a simplified sample preparation procedure effective for challenging matrices

Fast and sensitive HPLC method with post-column derivatization for analyzing Fumonisins in grains and feeds at levels as low as 0.01 ug/g

A sensitive method for testing of active compounds in cannabis and cannabis-containing products.

A solution for amino acids analysis, these methods were optimized to comply with system suitability requirements of Pharmacopoeia 8.0 methods.

Highly sensitive analysis of aflatoxins and ochratoxin A to guarantee the safety of hemp crop and hemp-containing consumer products.

An easy and sensitive method to analyze Aflatoxins B1, B2, G1, G2 and Ochratoxin A in cannabis plant and edible products at levels below established by state regulations.

A sensitive HPLC method allows analyzing cannabinoids, including THC and CBD, in hemp and hemp-containing products to ensure compliance with the 2018 Farm Bill.

This application note showcases a fast and robust solution for analysis of all analytes listed in EPA Method 8327, showing reliable, sensitive quantitative results.

Common isoflavones and mycotoxins associated with Estrogen Receptor binding are separated into their individual components using reversed-phase liquid chromatography.

The Ultivo LC/TQ based method works for the 6 nitrosamines listed by the FDA and the simultaneous detection of six other potentially mutagenic nitrosamine impurities.

Demonstrates the analysis of 22 different active pharmaceutical ingredients (APIs) for their purity in an open-access environment using mass detection

A fast and reliable method for comparison of related impurities in a brand and a generic over-the-counter (OTC) acetaminophen drug.

-A systematic framework for analyte extraction and solubilization from typical pharmaceutical matrices -Potential pitfalls of commonly used sample-preparation approaches -Experimental design for better sample preparation