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Materials and Methods for Multivariate Chemical Sensing


EMSL Project ID
3450a

Abstract

This research entails an interdisciplinary effort in the development of multivariate trace detection methods suitable for or with the potential to be suitable for field analysis. Specifically, it entails enabling science and technology for chemical sensor arrays, where each chemical sensor is coated with a chemically selective sorptive film material that collects and concentrates analyte molecules on the sensor surface. Research areas within this subject area include the synthesis and characterization of new sensing materials based on polymers or nanomaterials; development of methods to localize sensing materials on specific domains of a device or surface using photopatterning chemistry and methods; investigations of the chemical selectivity of sensor materials and the sensors derived from them; development of sensor arrays and sensor systems; development and evaluation of preconcentrating materials and preconcentrators using them; development of new multivariate data analysis techniques for extracting chemical information from sensor array data; and finally, the development of methods and prototypes that produce data in forms suitable for the most advanced higher order chemometric methods for data processing.

Project Details

Project type
Exploratory Research
Start Date
2006-04-01
End Date
2007-07-06
Status
Closed

Team

Principal Investigator

Jay Grate
Institution
Pacific Northwest National Laboratory

Team Members

Abby Tyler
Institution
Utah State University

Amanda Pierson
Institution
Pacific Northwest National Laboratory

Cynthia Dutton
Institution
Washington State University Tri-Cities

Richard Ozanich
Institution
Pacific Northwest National Laboratory

Marvin Warner
Institution
Pacific Northwest National Laboratory