Deborah Illman named as an AAAS Fellow in 2022

Infometrix would like to recognize a former employee for being named as an AAAS Fellow in 2022. Deborah Illman played a critical role in the beginnings of Infometrix in the late 1970s and early 1980s and coauthored one of the first books in the field with Muhammad Sharaf and Bruce Kowalski. Debbie went from Infometrix to help create and manage the Center for Process Analytical Chemistry in the mid 1980s, now rebranded the Center for Process Analysis and Control. She has a long history of contributions to the teaching of graduate students and undergraduates focusing mainly on the topics of science communication, management of multidisciplinary projects, and decision making. A former Associate Editor for Chemical and Engineering News, Debbie has reached and influenced many in the world of science.

Gulf Coast Conference 2022

Presenting Raman for Closed-Loop Process Control

by Brian Rohrback – Infometrix, Inc.

10/12/2022, Iris Room

10:45 AM – 11:10 AM

Abstract Number: 119
Abstract: Much effort has been applied to put process spectrometers to work for a specified application:


Selecting instrument settings for best performance; Automating method development for wavelength selection and preprocessing; and Automating calibration updates.

At this point, there is only one task that remains for us to close the loop and completely automate the lifecycle of a Raman analyzer for any given purpose. We need to identify when a calibration requires attention and then have a system in place to institute an adjustment without supervision.  Introducing a process Raman should be no more difficult to manage than installing a temperature sensor.


PEFTEC 2022Join us at PEFTEC 2022. This year it will be hybrid and access to the exhibition and all of the technical sessions is free of charge

Keynote speaker, Brian Rohrback of Infometrix, Inc. will present his talk on Streamlining the Use of Chemometrics

June 8th at 13:15 CEST

Artificial intelligence and machine learning are inevitable results of the work driven by the consumer side of our economy. The question is not whether it will impact refining and chemical plant operation, but how soon and how long it will take for the benefits to outstrip the costs. The goal is to distinguish between vision and hallucination and to provide some practical guidance for making progress in this complicated set of fields. There are three categories of measurements that provide us with the data that will form the basis for any interpretation system: single-purpose sensors, chromatographs, and spectrometers. Multivariate analysis can be used in all three categories and, in fact, is critical to interpreting output from any type of spectrometer. We can easily demonstrate that the use of multivariate analysis for each of the three groupings, even these data sources assembled together, gives faster response, improved flow of information derived from these data, and a significant leg up for process understanding. This information is available and is nearly cost-free.


Upcoming Events 2022

We miss in person relationships and live experiences that are not available with virtual and hybrid meetings. Virtual platforms have their issues which makes us desire more for in person gatherings. We’re still not back to normal but we are easing our way back. Hope you feel the same and will join us at these upcoming events to share and engage in a valuable discussion.

Upcoming Events in 2022

CPAC, Seattle, WA, May 2-3

Routine Quality Assessment – Similarities and uniqueness of machine learning and chemometrics and how they combine to form robust solutions.

PEFTEC, Rotterdam, June 8-9

Streamlining the Use of Chemometrics – Faster response, improved flow of information and a significant process understanding nearly cost-free.

IFPAC, Bethesda, MD, June 12-15

Agile Process Analytics – Combining technical tools to augment or replace tasks that consume brainpower for timely response and greater profits with future goals of optimization with automated spectroscopy calibration.

SciX, Kentucky, Oct 2-7

Optimizing Spectroscopy Performance – Lessening the workload with automation of models and maintaining them quickly and easily for robust, reliable, and timely calibrations.