Knowledge Base

VGA Instrument Qualification – Complex Compositional Analysis & Final Checks

Ryan Schonert

This blog discusses the final steps in instrument qualification by using test samples to check overall system performance, using several points of data simultaneously.

Bitumen Froth Treatment

FUEL

This publication from Fuels highlights bitumen froth treatment and the aromatic and paraffinic solvent content range.

Webinar: Optimize Lab Performance & Proficiency with ASTM D8071

This webinar provides an insight into EPA Streamlining, ASTM D8071 and how changes for 2021 will effect lab performance and proficiency.

Strategies to reduce laboratory costs while improving efficiency and productivity in the Era of COVID-19 – Part 2

by Peter Boler

This blog, the second in the series, demonstrates how labs can reduce cost and increase efficiency and productivity even with ASTM D8267 analysis of jet fuel.

Analysis of Beer Volatiles using GC-VUV

Analytical Chimica Acta

This publication from Analytica Chimica Acta discusses using GC-MS/VUV to investigate 21 different beers which represent three beer styles - India pale ales, blondes, and hefeweizens.

Exploring the Data View Window in VUVision™ Software Part 2

Chris Cook

This blog is the second part in a three part series on the VUVision Data View Window. This part goes into depth about how the library…

GC-VUV Analysis of Organosilanes

Critical Reviews in Analytical Chemistry

This publication from the Talanta gives an overview of analyzing Organosilanes, which are used in a broad range of personal care products and have lots of…

VGA Instrument Qualification – Checking Peak Shape Quality

Ryan Schonert

This blog discusses the importance of good peak shapes for optimal chromatography and how the VGA is checked to ensure peak shape quality before it ships.

Convolutional neural network for preprocessing‐free bacterial Spectra identification

Journal of Chemometrics

This publication from the Journal of Chemometrics that talks about a unified solution for the identification of bacterial species with a convolutional neural network.