Comparison of Multivariate Calibration Techniques for Mid-IR Absorption Spectrometric Determination of Blood Serum Constituents
Abstract:Determination of glucose and other clinically important blood constituents based on IR spectrometry and multivariate calibration techniques, such as partial least-squares (PLS) and principal components regression (PCR), has been an active research area. In our recent investigations of glucose determination in undiluted human whole blood samples, we noticed that the application of multivariate calibration based on PLS in combination with adaptive neural networks (PLS-ANN) resulted in significant improvement in glucose prediction compared with results from either the PLS or PCR technique. In the study reported here, we have applied this technique for the determination of different constituents in human blood serum. The specific objective of this study was to compare the capabilities of the PLS, PCR, and PLS-ANN techniques for the prediction of cholesterol, total proteins, glucose, and urea in human blood serum samples.
Document Type: Short Communication
Affiliations: Department of Biomedical Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, Massachusetts 01609
Publication date: February 1, 1994
More about this publication?
- The Society publishes the internationally recognized, peer reviewed journal, Applied Spectroscopy, which is available both in print and online. Subscriptions are included with membership or can be purchased by institutional or corporate organizations. Abstracts may be viewed free of charge. Previously published as Bulletin (Society for Applied Spectroscopy)
- Editorial Board
- Information for Authors
- Submit a Paper
- Subscribe to this Title
- Membership Information
- Request copyrighted SAS materials
- Spectroscopic Nomenclature
- Focal Point (Open Access)
- ingentaconnect is not responsible for the content or availability of external websites