Gulf Coast Conference, October 16-17, 2018

Gulf Coast Conference
Oct 16-17, 2018
Galveston, TX

 

Infometrix will be attending the 2018 Gulf Coast Conference in October. See abstracts below for the 2018 presentations at the GCC conference by Infometrix. Join us or contact us for more information.

Abstract # 169 – Paper
10/16/2018 – 1:20 PM – 1:40 PM – Tulip Room

Optimizing Gas Chromatography
Brian Rohrback – Infometrix

The heartbeat of the process environment is in the data we collect, but we are not always efficient in translating our data streams into actionable information. The richest source of hydrocarbon process information comes from spectrometers and chromatographs and, for many applications, gas chromatography is the cheapest, most adaptable, and most reliable technology available.  We can use tech borrowed from other fields to provide more consistent and objective GC results, automate translation of the raw traces into real-time information streams, and create databases that can be used across plant sites or even across industries.

 

Abstract # 145 – Paper
10/16/2018 – 10:45 AM – 11:05 AM – Tulip Room

Automating Spectroscopy Calibrations
Brian Rohrback – Infometrix, Inc.

A consortium of companies has undertaken a project to reduce the effort devoted to producing, maintaining, and stabilizing optical spectroscopy performance in routine quality assessment. Over a five-year period, the group has examined an unprecedented historical collection of spectra from multiple spectrometers spanning 1-5 years from sixteen oil refineries, with the goal of developing and maintaining stable models for long-term deployment. Even though the data are tied to petroleum work, the lessons learned are true for all applications. The technologies utilized follow a pattern of best practices, including the use of Robust outlier diagnostics, local and hierarchical modeling, and model augmentation. The effort has resulted in significant progress towards automation of model creation, stability, and maintenance in an industrial process. Additionally, we will share a comparison of prediction capabilities of different spectroscopy technologies and form-factors that can lead to a significant reduction in deployment and maintenance cost.

 

Access to full article: Analysis of Biodiesel-Diesel Blended Fuels Using Ultrafast Gas Chromatography (UFGC) and Chemometric Methods

You are invited to view the full article available until July 18th. Click on image.

 

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

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

Abstract:
Ultrafast gas chromatography (UFGC) along with supervised and unsupervised chemometric methods were utilized for evaluation of biodiesel-diesel blended fuels. A variety of biodiesel feedstocks (soybean, tallow, canola, safflower, sunflower, camelina, flaxseed, etc.) and concentrations (1–20%) were evaluated. The method, which uses a short nonpolar column, falls within ASTM D7798 requirements for diesel and extends the method to include biodiesel-diesel blended fuels. Using Principal Components Analysis (PCA), samples clustered based on concentration and diesel type, and differences in plant and animal feedstocks were apparent. Biodiesel concentration was accurately assessed using Partial Least Squares (PLS) on a training set for B0–B20, while predictions were made with some success on a set of commercial and lab unknowns. k Nearest Neighbors (kNN) was used to describe and predict concentration, plant versus animal feedstock, and to identify biodiesel blends. The combination of chemometric methods alongside UFGC proves an effective and fast technique for the analysis of biodiesel source and composition in biodiesel-diesel blended fuels.

Keywords:
Biodiesel fuel; Ultrafast gas chromatography; ASTM D7798; Principal Component Analysis; k Nearest Neighbors (kNN); Partial Least Squares (PLS)

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.