Spectroscopic Quantification of Target Species in a Complex Mixture Using Blind Source Separation and Partial Least-Squares Regression: A Case Study on Hanford Waste

Kocevska, Stefani; Maggioni, Giovanni Maria; Rousseau, Ronald W.; Grover, Martha A.

doi:10.1021/acs.iecr.1c01387

Title: Spectroscopic Quantification of Target Species in a Complex Mixture Using Blind Source Separation and Partial Least-Squares Regression: A Case Study on Hanford Waste

Journal Article · Tue Jun 29 00:00:00 EDT 2021 · Industrial and Engineering Chemistry Research

DOI:https://doi.org/10.1021/acs.iecr.1c01387· OSTI ID:1848992

Kocevska, Stefani ^[1]; Maggioni, Giovanni Maria ^[1]; Rousseau, Ronald W. ^[1];

^[1]

School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States

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Research Organization:: Vanderbilt Univ., Nashville, TN (United States)

Sponsoring Organization:: USDOE

DOE Contract Number:: FC01-06EW07053

OSTI ID:: 1848992

Journal Information:: Industrial and Engineering Chemistry Research, Vol. 60, Issue 27; ISSN 0888-5885

Publisher:: American Chemical Society (ACS)

Country of Publication:: United States

Language:: English

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