Last call. Upgrade Pirouette before July 1, 2020

Hello fellow Pirouette users.

If you are still using a legacy version of Pirouette, on July 1st the price to upgrade to the current version of Pirouette, version 4.5, will no longer be available. The cost will be the full retail price of Pirouette v4.5. Older versions (e.g., Pirouette 4.0) were designed and implemented for older Windows environments and have become less compatible with current Windows operating systems. If you are still using an older system that has not been upgraded to Windows 10, products like Pirouette 4.0 may still work. However, we are no longer fixing bugs or implementing enhancements. If you have an older version, we recommend you take advantage of the current upgrade rate before it goes to full price. If you have any questions, need additional information or a quote, email us at sales@infometrix.com.

Chemometrics-enhanced Classification of Source Rock Samples Using their Bulk Geochemical Data: Southern Persian Gulf Basin

Chemometrics-enhanced Classification of Source Rock Samples Using their Bulk Geochemical Data: Southern Persian Gulf Basin, co-authored by Infometrix’ Scott Ramos has recently been published. See abstract below and contact us if you have any questions.

Abstract

Chemometric methods can enhance geochemical interpretations, especially when working with large datasets. With this aim, exploratory hierarchical cluster analysis (HCA) and principal component analysis (PCA) methods are used herein to study the bulk pyrolysis parameters of 534 samples from the Persian Gulf basin. These methods are powerful techniques for identifying the patterns of variations in multivariate datasets and reducing their dimensionality. By adopting a “divide-and-conquer” approach, the existing dataset could be separated into sample groupings at family and subfamily levels. The geochemical characteristics of each category were defined based on loadings and scores plots. This procedure greatly assisted the identification of key source rock levels in the stratigraphic column of the study area and highlighted the future research needs for source rock analysis in the Persian Gulf basin.

Keywords: Chemometric Classification, Source Rock Geochemistry, Rock-Eval Pyrolysis Data, HCA, PCA.

Analysis of Biodiesel-Diesel Blended Fuels Using Ultrafast Gas Chromatography (UFGC) and Chemometric Methods

CSC 2018 – 101st Canadian Chemistry Conference and Exhibition, Edmonton, AB, Canada, May 27-31, 2018

Title:
Analysis of Biodiesel-Diesel Blended Fuels Using Ultrafast Gas Chromatography (UFGC) and Chemometric Methods

Authors:
Amber M Hupp, College of the Holy Cross (Primary Presenter)
Joseph Perron, Falcon Analytical
Ned Roques, Falcon Analytical
John Crandall, Falcon Analytical
Scott Ramos, Infometrix
Brian Rohrback, Infometrix

Division:
Analytical Chemistry (AN)

Symposium:
Analytical Separations: Theory, Applications, Instrumentation

Abstract:
Biodiesel is added to diesel fuel in concentrations ranging from 2 to 35%, mostly for the purposes of reducing greenhouse gases. The resulting binary blended fuels (labeled B2-B35) have lowered hydrocarbon and carbon monoxide emissions compared to petrodiesel. Traditional analysis methods utilize gas chromatography (GC) with a long, polar column leading to separation times of thirty to sixty minutes.  As a faster alternative, we propose using ultrafast GC (UFGC) to evaluate binary fuels with concentrations ranging from 1-20% with various biodiesel feedstocks (soybean, tallow, safflower, sunflower, camelina, palm, etc). A short mid-polarity column (MXT-50, 4m x 180 mm x 0.2 mm, Restek) was used to provide optimal separation of the saturated fatty acid methyl esters (FAMEs) in the biodiesel while still allowing for retention of the variety of components in the diesel. Several chemometric tools, including Principal Component Analysis (PCA) and Partial Least Squares (PLS), were used to provide group analysis of feedstock type and concentration.