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Title: Multivariate Analysis To Quantify Species in the Presence of Direct Interferents: Micro-Raman Analysis of HNO 3 in Microfluidic Devices

Abstract

Microfluidic devices are a growing field with significant potential for application to small scale processing of solutions. Much like large scale processing, fast, reliable, and cost effective means of monitoring the streams during processing are needed. Here we apply a novel Micro-Raman probe to the on-line monitoring of streams within a microfluidic device. For either macro or micro scale process monitoring via spectroscopic response, there is the danger of interfering or confounded bands obfuscating results. By utilizing chemometric analysis, a form of multivariate analysis, species can be accurately quantified in solution despite the presence of overlapping or confounded spectroscopic bands. This is demonstrated on solutions of HNO 3 and NaNO 3 within micro-flow and microfluidic devices.

Authors:
 [1];  [2];  [1];  [3];  [4]; ORCiD logo [1]
  1. Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
  2. Department of Chemistry, College of Idaho, 2112 Cleveland Boulevard, Caldwell, Idaho 83605, United States
  3. Spectra Solutions Inc., 1502 Providence Highway, Norwood, Massachusetts 02062-4643, United States
  4. Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, United States; Washington State University, Department of Chemistry, Pullman, WA 99164, United States
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE)
OSTI Identifier:
1439670
Report Number(s):
PNNL-SA-126639
Journal ID: ISSN 0003-2700; 453060037
DOE Contract Number:
AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: Analytical Chemistry; Journal Volume: 90; Journal Issue: 4
Country of Publication:
United States
Language:
English

Citation Formats

Lines, Amanda M., Nelson, Gilbert L., Casella, Amanda J., Bello, Job M., Clark, Sue B., and Bryan, Samuel A. Multivariate Analysis To Quantify Species in the Presence of Direct Interferents: Micro-Raman Analysis of HNO3 in Microfluidic Devices. United States: N. p., 2018. Web. doi:10.1021/acs.analchem.7b03833.
Lines, Amanda M., Nelson, Gilbert L., Casella, Amanda J., Bello, Job M., Clark, Sue B., & Bryan, Samuel A. Multivariate Analysis To Quantify Species in the Presence of Direct Interferents: Micro-Raman Analysis of HNO3 in Microfluidic Devices. United States. doi:10.1021/acs.analchem.7b03833.
Lines, Amanda M., Nelson, Gilbert L., Casella, Amanda J., Bello, Job M., Clark, Sue B., and Bryan, Samuel A. Tue . "Multivariate Analysis To Quantify Species in the Presence of Direct Interferents: Micro-Raman Analysis of HNO3 in Microfluidic Devices". United States. doi:10.1021/acs.analchem.7b03833.
@article{osti_1439670,
title = {Multivariate Analysis To Quantify Species in the Presence of Direct Interferents: Micro-Raman Analysis of HNO3 in Microfluidic Devices},
author = {Lines, Amanda M. and Nelson, Gilbert L. and Casella, Amanda J. and Bello, Job M. and Clark, Sue B. and Bryan, Samuel A.},
abstractNote = {Microfluidic devices are a growing field with significant potential for application to small scale processing of solutions. Much like large scale processing, fast, reliable, and cost effective means of monitoring the streams during processing are needed. Here we apply a novel Micro-Raman probe to the on-line monitoring of streams within a microfluidic device. For either macro or micro scale process monitoring via spectroscopic response, there is the danger of interfering or confounded bands obfuscating results. By utilizing chemometric analysis, a form of multivariate analysis, species can be accurately quantified in solution despite the presence of overlapping or confounded spectroscopic bands. This is demonstrated on solutions of HNO3 and NaNO3 within micro-flow and microfluidic devices.},
doi = {10.1021/acs.analchem.7b03833},
journal = {Analytical Chemistry},
number = 4,
volume = 90,
place = {United States},
year = {Tue Jan 30 00:00:00 EST 2018},
month = {Tue Jan 30 00:00:00 EST 2018}
}