Abstract

Calibration models are generated and evaluated for the measurement of five different components in synthetic mixtures prepared in aqueous solutions. Mixtures of glucose, glutamine, ammonia, lactate, and glutamate were prepared to simulate concentration levels expected during routine bioreactor fermentation processes. Near-IR spectra were collected from these solutions over the spectral range from 5000 to 4000 cm^-1. This spectral information was used to build individual multivariate calibration models for each analyte. Models were constructed on the basis of partial least-squares regression of raw and Fourier filtered absorbance spectra. Each analyte could be detected selectively with mean percent errors of prediction ranging from 4 to 8%.

Temperature measurements of turbid aqueous solutions using near-infrared spectroscopy

Naoto Kakuta, Hidenobu Arimoto, Hideyuki Momoki, Fuguo Li, and Yukio Yamada
Appl. Opt. 47(13) 2227-2233 (2008)

Rapid, noninvasive concentration measurements of aqueous biological analytes by near-infrared Raman spectroscopy

Andrew J. Berger, Yang Wang, and Michael S. Feld
Appl. Opt. 35(1) 209-212 (1996)

Identification of pure component spectra by independent component analysis in glucose prediction based on mid-infrared spectroscopy

Sangjoon Hahn and Gilwon Yoon
Appl. Opt. 45(32) 8374-8380 (2006)

Discussion on the validity of NIR spectral data in non-invasive blood glucose sensing

Wanjie Zhang, Rong Liu, Wen Zhang, Hao Jia, and Kexin Xu
Biomed. Opt. Express 4(6) 789-802 (2013)

Analysis of metabolites in aqueous solutions by using laser Raman spectroscopy

Steve Y. Wang, Charles E. Hasty, Patricia A. Watson, James P. Wicksted, Rex D. Stith, and Wayne F. March
Appl. Opt. 32(6) 925-929 (1993)