HPLC

Latest News


San Diego, California Skyline | Image Credit: © SeanPavonePhoto - stock.adobe.com.

On February 25, a Pittcon oral session, titled “Detection of PFAS and other Polyfluorinated Analytes,” took place at the San Diego Convention Center in San Diego, California. This session included six talks that covered a variety of analytical techniques currently being used in per- and polyfluoralkyl (PFAS) analysis.

Photo Credit: Oligo Factory

LCGC and Spectroscopy Editor Patrick Lavery spoke with Oligo Factory CEO Chris Boggess about the company’s recently attained compliance with Good Manufacturing Practice (GMP) International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH) Expert Working Group (Q7) guidance and its distinction from Research Use Only (RUO) and International Organization for Standardization (ISO) 13485 designations.

isolated Structure of phospholipid molecules 3d rendering | Image Credit: © Love Employee - stock.adobe.com

In a recent study out of the University of Gdańsk, immobilized artificial membrane chromatography (IAM) was tested for its ability to evaluate small molecular behavior in the human body.

Ultra high performance chromatography (HPLC) setup for separation and analytical chemistry. | Image Credit: © Artur Wnorowski - stock.adobe.com

This paper proposes a new method of flash qualitative identification (FQI) to qualitatively identify a certain target component from a mixture within half a second by disusing the analytical column, which is a time-consuming unit in current chromatography instruments. First, a Noised Spectrum Identification (NSI) model was constructed for the data set generated directly by diode array detector (DAD) without the process in an analytical column. Then, a method called vector error algorithm (VEA) was proposed to generate an error according to the DAD data set for a mixture and a specific spectrum for the target component to be identified. A criterion based on the error generated by the VEA is used to give a judgement of whether the specific spectrum exists in the DAD data set. Several simulations demonstrate the high performance of the FQI method, and an experiment for three known materials was carried out to validate the effectiveness of this method. The results show that the NSI model concurs with the real experiment result; therefore, the error generated by the VEA was an effective criterion to identify a specific component qualitatively, and the FQI method could finish the identification task within half a second.