A Very Vanilla Blog

Posted by Paul Johnson on September 21, 2016

It’s always interesting when market forces, industry needs, and scientific research coincidentally converge.  I happened to be reading this article about the worldwide vanilla shortage in Chemical and Engineering News just as the first vanilla data generated by GC-VUV was shared with me.  The lab of Dr. Kevin Schug at University of Texas at Arlington has been in the process of developing a rapid GC method for separating natural and synthetic vanilla components.

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[Article Summary] Novel Detector Dramatically Simplifies PIONA Analysis

Posted by Paul Johnson on September 07, 2016

Below is a summary of the upcoming article "Novel Detector Dramatically Simplifies PIONA Analysis" appearing in Petro Industry News this October. You can read the article that introduced PIONA+ or continue reading the summary of its update below:

VUV Analytics’ first released application of VUV Analyze, called VUV PIONA+, uses GC-VUV to improve detailed and bulk classification analysis of petroleum-based fuels.  The result is the potential for GC-VUV to significantly reduce the complexity or run times compared to existing ASTM methods for fuel analysis, as well as the potential of combining information obtained using multiple methods.  The VUV PIONA+ method results in a per-measurement information set that would typically require implementation of multiple ASTM methods (e.g. D5769, D5580, D1319, D6550, D3606, D4815, D5599, D5845) while being inherently more robust and production-worthy than the more comprehensive ASTM gasoline methods.

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An Interview with Dr. Nicholas Snow About Gas Chromatography and VUV Spectroscopy

Posted by Paul Johnson on June 20, 2016

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VUV Analytics / Supelco Seminar Tour

Posted by Paul Johnson on April 28, 2016

A productive three date, three city tour took place April 19th – 21st making stops in Greenbelt, MD, Wilmington, DE, and Edison, NJ.  Lindsey Shear, MS, Application Scientist at VUV Analytics, presented the theory and applications of Vacuum-Ultraviolet (VUV) Detector Technology for Gas Chromatography.  A key topic covered during her talk was how GC-VUV analysis offers a more accurate and precise water quantitation alternative to Karl Fisher and Thermal Conductivity Detection (TCD) analysis.  Len Sidisky, Ph.D., R&D Manager at Supelco, presented information about Supelco’s new line of gas chromatography columns including the Watercol 1460, 1900, and 1910. 

Each seminar location had strong representation from the food and chemical industries, as well as academic and government research.  It was clear that the VGA 100 data captivated the attention and curiosity of the audience.  A number of questions were asked regarding its capabilities and compatibility, and we would welcome any additional questions you may have.

The top five most commonly asked questions during the seminars were:

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Enlightened Research: Vacuum Ultraviolet Application Research and Discovery

Posted by Cary Anne Simpson on February 19, 2016

(From left: Dr. Jesus Velazquez, Dr. Sonja Francis (Lewis Group), and Dr. Nathan Dalleska, at Caltech Environmental Analysis Center)

"A lamp is not brought to be put under a basket, is it…?” Mark 4:21

Half a year ago in my last blog I discussed VUV Analytics’ efforts to find the "killer app" for the VGA-100 Vacuum Ultraviolet (VUV) Gas Chromatography (GC) Detector.  While much of our “in house” effort has been focused on industry, industry partners are typically hesitant to share what they have learned in an effort to find every opportunity for competitive advantage. 

We certainly can’t blame them for that. 

As a tech start-up we understand the need for NDA’s, MTA’s, and various other secrecy agreements that ultimately leave our applications marketing collateral DOA.  Sure, we can find commercially available surrogates for some of that work, but it’s not the same as the real thing and that data is still “sales” data for completely new technology that we have been trained to believe shouldn’t work.  Analytical chemists are paid skeptics and we all know that sales data doesn’t hold a candle to a good peer reviewed journal article for convincing a scientific skeptic.   

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