Application Notes: General

Learn how your lab can benefit from smarter GC‒MS instruments and workflows to discover more from your samples and deliver improved business outcomes

Using GC×GC–TOF-MS and tandem ionisation to identify trace additives in gasoline to automatically uncover differences between gasoline blends

Showing how the comprehensive data acquired using GC×GC–TOF-MS with tandem ionisation can uncover the subtle differences between brand and imitation fragrances

This application note shares new chiral separations for the anti-viral, COVID-19 treatment Remdesivir and its phosphoramidite and nucleoside key-starting materials.

This application demonstrates a reliable GC–MS/MS method for analysis of nitrosamine drug products including the three impurities NDMA, NDEA, and NDBA listed by US FDA.

Automated extraction of methylmalonic acid from serum facilitates accurate and robust analyte quantification.

This application evaluates routine liquid handling sample prep methods using Andrew+ Pipetting Robot for mixing, serial dilutions, and standard prep in food analysis.

This work highlights automated calibration curve generation using Andrew+ Pipetting Robot for accurate and reproducible LC–MS quantification of nitrosamine impurities.

This work encapsulates the reliability that this new, seamless technology, Otto SPEcialist Positive Pressure Manifold, provides during a method of solid-phase extraction.

This application note highlights the automated sample preparation and extraction of itaconic acid from human plasma with subsequent LC–MS/MS analysis and quantification.

This application note outlines a solid-phase extraction (SPE) and LC–MS/MS method for the analysis of 19 synthetic cannabinoids in urine.

In this technical note we show peptides and proteins identification using the bioZen nano XB-C18 column in either direct inject or trap and elute mode.

Sub-2 μm fully porous particles and core-shell particles in nano LC–MS were evaluated by separation performance and protein and peptide identifications in proteomics.

The effect of column selectivity, its importance in quality of data achieved in protein and peptide identifications in bottom-up proteomics applications, is demonstrated.

bioZen Nano 75 µm LC columns offer two advanced particle platforms, three unique column chemistries, and SecurityLINK Fitting Technology for a zero-dead volume connection.

In this application note we explore the effects of trap loadability using a bioZen 3 μm Polar C18 nano column in conjunction with the bioZen RP1 (C18) nano trap column.

In this technical note we provide a miniaturized LC–MS and SPE method for the reliable and accurate detection of viral pesticides.

Multiple selectivity options in nano LC columns allows users to tailor the chromatography for the compounds of interest to the researcher.

We demonstrate how to achieve deep proteome coverage on HeLa cell lysate using a high pH reversed-phase fractionation strategy in combination with nano flow LC–MS.

The bioZen high pH fractionation HPLC column provides superior performance using titanium hardware, minimizing nonspecific adsorption for peptide identifications.

In this technical note we explore column miniaturization effects attained by reducing column ID from 300 μm to 75 μm and its effects on sensitivity.

In this application we show reproducible results across multiple columns as well as the robust ability of the bioZen 2.6 μm XB-C18 column after 100 injections.