Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 54,
  • Issue 6,
  • pp. 885-889
  • (2000)

Multianalyte Serum Assays from Mid-IR Spectra of Dry Films on Glass Slides

Not Accessible

Your library or personal account may give you access

Abstract

An analytical method based upon mid-infrared spectroscopy is proposed, and the advantages of this approach are discussed. The method involves drying a liquid specimen to a film, and deriving analyte levels from the infrared spectrum of that film. The specific aim of this study was to determine whether glass might serve as a suitable substrate for the simultaneous determination of several analytes in complex mixtures. Using human serum as a 'proof-of-concept' example, we show here that six commonly measured analytes may be determined from spectra originally measured by employing barium fluoride substrates, but restricting the analytical models to absorptions within the region 2000-4000 cm<sup>-1</sup> - i.e., making use of only those absorptions that are accessible with glass substrates. With the use of partial least-squares calibration models, it is shown that albumin, cholesterol, glucose, total protein, triglycerides, and urea may be determined with standard errors that approach or meet the criteria required for routine clinical analysis. The practical advantages of such an approach are discussed.

PDF Article
More Like This
Concentration measurements of multiple analytes in human sera by near-infrared laser Raman spectroscopy

Jianan Y. Qu, Brian C. Wilson, and David Suria
Appl. Opt. 38(25) 5491-5498 (1999)

Multicomponent blood analysis by near-infrared Raman spectroscopy

Andrew J. Berger, Tae-Woong Koo, Irving Itzkan, Gary Horowitz, and Michael S. Feld
Appl. Opt. 38(13) 2916-2926 (1999)

Blood analysis by Raman spectroscopy

Annika M. K. Enejder, Tae-Woong Koo, Jeankun Oh, Martin Hunter, Slobodan Sasic, Michael S. Feld, and Gary L. Horowitz
Opt. Lett. 27(22) 2004-2006 (2002)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.