Open Access. Powered by Scholars. Published by Universities.®

Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Civil and Environmental Engineering

University of Nebraska - Lincoln

Series

2000

Near-infrared spectroscopy; NIRS; Aqueous solution; Quantification of analytes; Glucose

Articles 1 - 1 of 1

Full-Text Articles in Engineering

Effect Of Sample Complexity On Quantification Of Analytes In Aqueous Samples By Near-Infrared Spectroscopy, Mark R. Riley, Mark A. Arnold, David W. Murhammer Jan 2000

Effect Of Sample Complexity On Quantification Of Analytes In Aqueous Samples By Near-Infrared Spectroscopy, Mark R. Riley, Mark A. Arnold, David W. Murhammer

Department of Biological Systems Engineering: Papers and Publications

This study was undertaken to quantitate the impact of increasing sample complexity on near-infrared spectroscopic (NIRS) measurements of small molecules in aqueous solutions with varying numbers of components. Samples with 2, 6, or 10 varying components were investigated. Within the 10-component samples, three analytes were quantified with errors below 6% and seven of the analytes were quantified with errors below 10%. An increase in the number of varying components can substantially increase the error associated with measurement. A comparison of measurement errors across sample sets, as gauged by the standard error of prediction (SEP), reveals that an increase in the …