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Your search keyword '"Nelson, Gilbert L."' showing total 9 results
Start Over Author "Nelson, Gilbert L." Journal analytical chemistry
9 results on '"Nelson, Gilbert L."'

8. Multivariate Analysis To Quantify Species in the Presence of Direct Interferents: Micro-Raman Analysis of HNO3 in Microfluidic Devices.

Author

Lines, Amanda M., Nelson, Gilbert L., Casella, Amanda J., Bello, Job M., Clark, Sue B., and Bryan, Samuel A.

Subjects
*ELECTROMAGNETIC interference, *MULTIVARIATE analysis, *NITRIC acid, *MICROFLUIDIC devices, *CHEMOMETRICS
Abstract

Microfluidic devices are a growing field with significant potential for applications to small scale processing of solutions. Much like large scale processing, fast, reliable, and cost-effective means of monitoring streams during processing are needed. Here we apply a novel micro-Raman probe to the online monitoring of streams within a microfluidic device. For either macro- or microscale process monitoring via spectroscopic response, interfering or confounded bands can obfuscate results. By utilizing chemometric analysis, a form of multivariate analysis, species can be accurately quantified in solution despite the presence of overlapping or confounding spectroscopic bands. This is demonstrated on solutions of HNO3 and NaNO3 within microflow and microfluidic devices. [ABSTRACT FROM AUTHOR]

Published
2018
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9. Multivariate Analysis To Quantify Species in the Presence of Direct Interferents: Micro-Raman Analysis of HNO3in Microfluidic Devices

Author

Lines, Amanda M., Nelson, Gilbert L., Casella, Amanda J., Bello, Job M., Clark, Sue B., and Bryan, Samuel A.

Abstract

Microfluidic devices are a growing field with significant potential for applications to small scale processing of solutions. Much like large scale processing, fast, reliable, and cost-effective means of monitoring streams during processing are needed. Here we apply a novel micro-Raman probe to the online monitoring of streams within a microfluidic device. For either macro- or microscale process monitoring via spectroscopic response, interfering or confounded bands can obfuscate results. By utilizing chemometric analysis, a form of multivariate analysis, species can be accurately quantified in solution despite the presence of overlapping or confounding spectroscopic bands. This is demonstrated on solutions of HNO3and NaNO3within microflow and microfluidic devices.

Published
2024
Full Text
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