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Blog

VGA Instrument Qualification – Checking for System Reactivity

Ryan Schonert

This blog talks about the VGA system reactivity that can happen, why its essential to test for it and how to address reactivity issues.

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Retention Time Issues in VUV Analyze Software Applications

Chris Cook

VUV Analytics blog on why analyte retention times may not correspond to the times predicted by the retention index (RI) file and steps to correct the…

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VGA Instrument Qualification – Wavelength Calibration

Ryan Schonert

This blog why it is important to qualify VGA instruments, specifically the wavelength calibration, prior to it leaving our factory and after it is installed.

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VHA™, a Radical Departure from Pure Chromatography

Dan Wispinski

This blog explains Verified Hydrocarbon Analysis, which is currently in the ASTM ballot process, and how it's very different from Detailed Hydrocarbon Analysis with FID.

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Strategies to reduce laboratory costs while improving efficiency and productivity in the Era of COVID-19 – Part 1

by Peter Boler

This blog, the first in the series, talks about how laboratory directors can reduce cost and increase efficiency and productivity even in the era of COVID-19,…

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What is 3D Data? Adding dimension to your analysis

by Chris Hernandez

This blog describes what 3D data is and how GC-VUV technology and VUV Analyze Software work together to provide 3 dimensions of information for more accurate…

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Rising Baseline Issues in VUV Analyze™ Software Applications

Chris Cook

VUV Analytics blog on the effects of a rising baseline on the ability for VUV Analyze Software to accurately analyze your sample, how to avoid it…

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Fire Debris Analysis: Forensics Cousin of Fuels Analysis

Ryan Schonert

This blog highlights GC-VUV's ability to analyze fire debris analysis -- whether it is a fuel accelerant or non-fuel fire starter.

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Detailed hydrocarbon analysis (DHA) – Past, Present and Future Part 3

Dan Wispinski

The final blog of the series, Dan Wispinski talks about how VHA can help optimize refineries by having more accurate, reliable data.

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