This site uses cookies to help make it more useful and reliable. By using this site or by dismissing this banner you are consenting to their use. You can find out more, or opt out of cookie use, on our PRIVACY POLICY PAGE.

Events Archive

October 25th, 2017: Karen A. Esmonde-White — Tour and a Talk at Kaiser Optical Systems


Join us for a tour and a talk at Kaiser Optical Systems, Inc.!

Speaker: Karen A. Esmonde-White
Kaiser Optical Systems, Inc.

Wednesday, October 25th, 2017
6:30 pm – Refreshments
7:00 pm – Tour of Kaiser Optical Systems
7:15 pm – Talk

Kaiser Optical systems, Inc.
371 Parkland Plaza

Ann Arbor, MI 48103

Joint Meeting With Detroit-ACS and Detroit-SAS

Authors: Karen A. Esmonde-White1, Francis Esmonde-White1, Carsten Uerpmann2, Sean Gilliam1, Maryann Cuellar1, Ian R.Lewis1
1 Kaiser Optical Systems, Inc., 371 Parkland Plaza, 48103, Ann Arbor, USA
2 Kaiser Optical Systems, SARL, 5 Allee du moulin Berger, 69130, Ecully, France

As a process analytical technology, Raman spectroscopy is a powerful tool that provides real-time in situ measurements that inform on the process chemistry. Representative sampling of the process is an important aspect of ensuring a robust method, as incomplete sampling or sub-sampling may not adequately capture variations in the process. Solids and turbid media exhibit optical scattering, which affects the sampling volume of an optical probe and recovery of Raman-scattered photons. New approaches in sampling for Raman spectroscopy provide representative sampling in solids and turbid media and enable in-process corrections. Backscattered Raman, wide-area (or large volumetric) Raman, and enhanced reflection Raman are compatible with in-process measurements. Transmission Raman is a powerful off-line tool for measuring chemical heterogeneity within a solid or turbid sample. In a representative example we discuss how a hybrid approach using backscattered Raman and wide area Raman can provide multi-scale measurements in-process in order to improve understanding of a heterogeneous polymerization reaction. Similar examples in pharmaceutical and bioprocessing will illustrate Raman’s capability for providing robust measurements in process.