Austin, TX, United States
Austin, TX, United States

Time filter

Source Type

Patent
Vuv Analytics | Date: 2016-10-17

An efficient absorption spectroscopy system is provided. The spectroscopy system may be configured to measure solid, liquid or gaseous samples. Vacuum ultra-violet wavelengths may be utilized. Some of the disclosed techniques can be used for detecting the presence of trace concentrations of gaseous species. A preferable gas flow cell is disclosed. Some of the disclosed techniques may be used with a gas chromatography system so as to detect and identify species eluted from the column. Some of the disclosed techniques may be used in conjunction with an electrospray interface and a liquid chromatography system so as to detect and identify gas phase ions of macromolecules produced from solution. Some of the disclosed techniques may be used to characterize chemical reactions. Some of the disclosed techniques may be used in conjunction with an ultra short-path length sample cell to measure liquids.


Patent
Vuv Analytics | Date: 2016-10-17

An efficient absorption spectroscopy system is provided. The spectroscopy system may be configured to measure solid, liquid or gaseous samples. Vacuum ultra-violet wavelengths may be utilized. Some of the disclosed techniques can be used for detecting the presence of trace concentrations of gaseous species. A preferable gas flow cell is disclosed. Some of the disclosed techniques may be used with a gas chromatography system so as to detect and identify species eluted from the column. Some of the disclosed techniques may be used in conjunction with an electrospray interface and a liquid chromatography system so as to detect and identify gas phase ions of macromolecules produced from solution. Some of the disclosed techniques may be used to characterize chemical reactions. Some of the disclosed techniques may be used in conjunction with an ultra short-path length sample cell to measure liquids.


VUV Analytics Inc. Announces University of Amsterdam as Academic Grant Recipient VUV Analytics has announced Dr. Hans-Gerd Janssen as the recipient of their academic grant, which provides Dr. Janssen’s laboratory with the use of a VGA-101 Vacuum Ultraviolet (VUV) gas chromatography detector to do novel research in the field of food and cosmetics chemistry. Dr. Janssen is a Professor at the University of Amsterdam and Science Leader at Unilever Research Vlaardingen, the Netherlands. His research focuses on the development of novel methods for obtaining highly detailed compositional information on complex samples. He is well known for his work with comprehensive chromatography set-ups that combine high-resolution liquid chromatography and gas chromatography. He will be using the VGA-101 VUV detector to characterize mineral oil saturated hydrocarbons (MOSH) and mineral oil aromatic hydrocarbons (MOAH) in food and cosmetics products. “We are excited to have been selected by VUV Analytics as the recipient of their academic grant program and feel that we can provide new insight into food and cosmetics product analysis using VUV spectroscopy,” said Dr. Janssen, who received his Ph.D. at Eindhoven University of Technology. “VUV Analytics is excited to award the University of Amsterdam with our detector to help continue the groundbreaking advancements taking place in their labs,” said Sean Jameson, vice president of Business Development at VUV Analytics. “Since initially launching the academic grant program, we’ve received countless top-notch proposals, making the decision process increasingly difficult. Having the opportunity to incorporate VUV spectroscopy into Dr. Janssen’s research promises to change how MOSH and MOAH are analyzed going forward.” The VGA-101 is the latest advancement in vacuum ultraviolet (VUV) detection featuring an expanded wavelength spectrum and a higher allowable maximum operating temperature.  It was designed as a next generation detector that addresses advanced application requirements. The University of Amsterdam will begin their food and cosmetics product characterization work during the summer academic session. About VUV Analytics VUV Analytics is the leader in vacuum ultraviolet (VUV) absorption spectroscopy. VUV Analytics manufactures the VGA-100, VGA-101, & SVGA-100 universal gas chromatography and streaming gas detectors. Unlike legacy detection methods, VUV detectors allow for a more automated analysis with lower risk of errors, shorter run times, and higher analytical productivity. For more information, visit www.vuvanalytics.com.


AMSTERDAM, May 31, 2017 /PRNewswire/ -- VUV Analytics has announced Dr. Hans-Gerd Janssen as the recipient of their academic grant, which provides Dr. Janssen's laboratory with the use of a VGA-101 Vacuum Ultraviolet (VUV) gas chromatography detector to do novel research in the field of...


Weber B.M.,University of Alberta | Walsh P.,Vuv Analytics | Harynuk J.J.,University of Alberta
Analytical Chemistry | Year: 2016

A GC-vacuum ultraviolet (UV) method to perform group-type separations of diesel range fuels was developed. The method relies on an ionic liquid column to separate diesel samples into saturates, mono-, di-, and polyaromatics by gas chromatography, with selective detection via vacuum UV absorption spectroscopy. Vacuum UV detection was necessary to solve a coelution between saturates and monoaromatics. The method was used to measure group-type composition of 10 oilsands-derived Synfuel light diesel samples, 3 Syncrude light gas oils, and 1 quality control sample. The gas chromatography (GC)-vacuum UV results for the Synfuel samples were similar (absolute % error of 0.8) to historical results from the supercritical fluid chromatography (SFC) analysis. For the light gas oils, discrepancies were noted between SFC results and GC-vacuum UV results; however, these samples are known to be challenging to quantify by SFC-flame ionization detector (FID) due to incomplete resolution between the saturate/monoaromatic and/or monoaromatic/diaromatic group types when applied to samples heavier than diesel (i.e., having a larger fraction of higher molecular weight species). The quality control sample also performed well when comparing both methods (absolute % error of 0.2) and the results agreed within error for saturates, mono- and polyaromatics. © 2016 American Chemical Society.


Analysis of chemically samples using gas chromatography (GC) separation with vacuum ultra-violet spectroscopy detection is described. One technique focuses on assigning a specific analysis methodology to each constituent in a sample. Constituents can elute from the GC by themselves or with other constituents, in which case a deconvolution is done using VUV spectroscopic data. In an exemplary embodiment, each constituent may be specifically included in an analysis method during a setup procedure, after which the same series of analyses are done on subsequent sample runs. The second approach essentially integrates an entire chromatogram by first reducing it into a series of analysis windows, or time slices, that are analyzed automatically. The analysis at each time slice determines the molecular constituents that are present as well as their contributions to the total response. Either approach can be used to quantify specific analytes or to do bulk classification.


Patent
Vuv Analytics | Date: 2016-09-08

An efficient absorption spectroscopy system is provided. The spectroscopy system may be configured to measure solid, liquid or gaseous samples. Vacuum ultra-violet wavelengths may be utilized. Some of the disclosed techniques can be used for detecting the presence of trace concentrations of gaseous species. A preferable gas flow cell is disclosed. Some of the disclosed techniques may be used with a gas chromatography system so as to detect and identify species eluted from the column. Some of the disclosed techniques may be used in conjunction with an electrospray interface and a liquid chromatography system so as to detect and identify gas phase ions of macromolecules produced from solution. Some of the disclosed techniques may be used to characterize chemical reactions. Some of the disclosed techniques may be used in conjunction with an ultra short-path length sample cell to measure liquids.


Patent
Vuv Analytics | Date: 2016-09-08

An efficient absorption spectroscopy system is provided. The spectroscopy system may be configured to measure solid, liquid or gaseous samples. Vacuum ultra-violet wavelengths may be utilized. Some of the disclosed techniques can be used for detecting the presence of trace concentrations of gaseous species. A preferable gas flow cell is disclosed. Some of the disclosed techniques may be used with a gas chromatography system so as to detect and identify species eluted from the column. Some of the disclosed techniques may be used in conjunction with an electrospray interface and a liquid chromatography system so as to detect and identify gas phase ions of macromolecules produced from solution. Some of the disclosed techniques may be used to characterize chemical reactions. Some of the disclosed techniques may be used in conjunction with an ultra short-path length sample cell to measure liquids.


Patent
Vuv Analytics | Date: 2013-03-11

An efficient absorption spectroscopy system is provided. The spectroscopy system may be configured to measure solid, liquid or gaseous samples. Vacuum ultra-violet wavelengths may be utilized. Some of the disclosed techniques can be used for detecting the presence of trace concentrations of gaseous species. A preferable gas flow cell is disclosed. Some of the disclosed techniques may be used with a gas chromatography system so as to detect and identify species eluted from the column. Some of the disclosed techniques may be used in conjunction with an electrospray interface and a liquid chromatography system so as to detect and identify gas phase ions of macromolecules produced from solution. Some of the disclosed techniques may be used to characterize chemical reactions. Some of the disclosed techniques may be used in conjunction with an ultra short-path length sample cell to measure liquids.


Loading Vuv Analytics collaborators
Loading Vuv Analytics collaborators