Application Notes: General

This application demonstrates HALO® Biphenyl is an ideal choice for high throughput analysis of drug panels, in which isobaric species separation is needed.

The separation of non-steroidal anti-inflammatory drugs 60% less time, with better resolution than a typical HPLC column packed with fully porous particles, is demonstrated.

This document demonstrates how AMT improves the presentation of the sample to the detector using our Fused-Core® particle design and quality manufacturing.

This application note demonstrates the separation of ten phenolic acids with excellent speed and resolution due to the HALO RP-Amide column.

This application note demonstrates analysis at low levels (ng/L) in a wide variety of matrices for EPA 8327 method validation.

This application note describes an efficient and reliable method to meet U.S. EPA Method 537.1.

This application note investigates the use of YMC BioPro SF for high-resolution charge variant analysis of four therapeutic mAb products.

The dial-a-mix method with a quaternary pump HPLC quickly screens different method conditions when developing ion-exchange methods for charge variant analysis of mAbs.

This application note describes the benefits of using YMC-Triart PEEK-lined columns for separations involving coordination compounds.

This application note investigates using YMC-Triart C18 for analysis of 11 common cannabinoid compounds.

This application note details real-life client data obtained for insulin purification and manufacturing using YMC’s new YMC-Triart Prep Bio200 C8 material.

This application note details the use of light scattering detection coupled with SEC analysis for characterization of proteins and antibodies.

Automated liquid extraction of pesticides from tea that eliminates the use of salts and sorbents. In less than 15 min, get filtered sample that is ready for analysis.

Here we describe a system to extract and concentrate VOCs from a beer sample and deliver them to a GC–MS instrument for separation, identification, and quantification.

An efficient method of NDMA and NDEA analysis using a single-step extraction and direct injection into a GC–MS instrument for separation and quantification is described.

This application note will demonstrate a fast and easy analytical technique to determine the amount of BHT in foods using Headspace GC–MS without sample preparation.

This app note presents a system for characterizing finished coffee aroma while simultaneously performing chemical analysis on a mass spectrometer.

An efficient method of NDMA and NDEA analysis using a single-step extraction and direct injection into a GC–MS instrument for separation and quantification is described.

In this application note, we present an analytical approach for the fast and simple analysis of aromatic compounds in complex food matrices using HS-SPME–GC–MS. Text

Demonstrates a rapid method for the identification and quantification of furan in food samples, using gas chromatography with headspace sampling and mass spectrometry.