Multianalyte serum analysis using mid-infrared spectroscopy

From National Research Council Canada

DOI	Resolve DOI: https://doi.org/10.1177/000456329803500505
Author	Search for: Shaw, R. Anthony¹; Search for: Kotowich, Steven¹; Search for: Leroux, Michael; Search for: Mantsch, Henry H.¹
Affiliation	National Research Council Canada. NRC Institute for Biodiagnostics
Format	Text, Article
Subject	clinical chemistry analyses; urea; glucose; protein; albumin
Abstract	This study assesses the potential for using mid-infrared (mid-IR) spectroscopy of dried serum films as the basis for the simultaneous quantitation of eight serum analytes: Total protein, albumin, triglycerides, cholesterol, glucose, urea, creatinine and uric acid. Infrared transmission spectra were acquired for 300 serum samples, each analysed independently using accepted reference clinical chemical methods. Quantitation methods were based upon the infrared spectra and reference analyses for 200 specimens, and the models validated using the remaining 100 samples. Standard errors in the IR-predicted analyte levels (Sy/x) were 2.8 g/L (total protein), 2.2 g/L (albumin), 0.23 mmol/L (triglycerides), 0.28 mmol/L (cholesterol), 0.41 mmol/L (glucose) and 1.1 mmol/L for urea, with correlation coefficients (IR vs reference analyses) of 0.95 or better. The IR method emerged to be less suited for creatinine (Sy/x = μmol/L) and uric acid (Sy/x = 140 μmol/L) due to the relatively low concentrations typical of these analytes.
Publication date	1998-09
In	Annals of Clinical Biochemistry 35, no. 5: 624–632.
Language	English
Peer reviewed	Yes
NRC number	883 NRCC 34791
NPARC number	9148283
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Record identifier	f619a7e2-0c77-4d17-ace3-24f0dc2106b9
Record created	2009-06-25
Record modified	2020-03-20

Date modified:: 2025-12-04