Near-Infrared Spectroscopic Measurement of Lactate in Human Plasma

Abstract

A method based on near-infrared spectroscopy (NIRS) is presented, which provides a rapid analysis of lactate in plasma. In order to test the technique, NIRS analysis and enzymatic measurements were made on plasma samples taken from exercising humans. A correlation coefficient of 0.995 and a standard error of 0.51 mmol/L were found between the enzymatic and the NIR results. This standard error is within the range needed for real-time monitoring of lactate in plasma for exercising studies. In the future, this technique may provide a valuable tool to assess physiological status for research and clinical use.

Keywords

Lactate Near-infrared spectroscopy Partial least-squares regression analysis Enzymatic method Chemometric techniques

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References

Racine

Engelhardt

Higelin

J. C.

and Mindt

, Med. Instrum. 9, 11 (1975).

Soutter

W. P.

Sharp

and Clark

D. M

, Br. J. Anaesth. 50, 445 (1978).

Williams

D. L.

Doig

A. R.

and Korosi

, Anal. Chem. 42, 118 (1970).

Baker

D. A.

and Gough

D. A

, Anal. Chem. 67, 1536 (1995).

Kuhr

W. G.

and Korf

, J. Cerebral Blood Flow Metabol. 8, 130 (1988).

Henry

R. J.

Cannon

D. C.

and Winkelman

J. W

, Clinical Chemistry: Principles and Technics (Harper and Row, Hagerstown, Maryland, 1974), 2nd ed., p. 1328.

Michaelis

Merboldt

K.-D.

Bruhn

Hänicke

and Frahm

, Radiology 187, 219 (1993).

Mannoin

A. F.

Jakeman

P. M.

and Willan

P. L. T

, J. Appl. Physiol. 75, 1412 (1993).

Sodickson

L. A.

and Block

M. J

, Clin. Chem. 40, 1838 (1994).

10.

Robinson

M. R.

Eaton

R. P.

Haaland

D. M.

Koepp

G. Q.

Thomas

E. V.

Stallard

B. R.

and Robinson

P. L

, Clin. Chem. 38, 1618 (1992).

11.

Marbach

Koschinsky

Th.

Gries

F. A.

and Heise

H. M

, Appl. Spectrosc. 47, 875 (1993).

12.

Arnold

M. A.

, “New Developments and Clinical Impact of Noninvasive Monitoring”, in Handbook of Clinical Laboratory Automation, Robotics and Knowledge Optimization, Kost

G. R.

, Ed. (John Wiley and Sons, New York, 1996), Chap. 26, p. 631.

13.

Fischbacher

Jagemann

K. U.

Danzer

Muller

U. A.

Papenkordt

and Schuler

, Fresenius' J. Anal. Chem. 359, 78 (1997).

14.

and Wilson

B. C

, J. Biomed, Opt. 2, 319 (1997).

15.

Heise

H. M.

and Bittner

, Proc. SPIE–Int. Soc. Opt. Eng. 3257, 2 (1998).

16.

Chung

Arnold

M. A.

Rhiel

and Murhammer

D. W

, Appl. Spectrosc. 50, 270 (1996).

17.

McShane

M. J.

Coté

G. L.

and Spiegelman

C. H

, Appl. Spectrosc. 52, 878 (1998).

18.

Lin

and Brown

C. W

, Appl. Spectrosc. 47, 1720 (1993).

19.

Phelan

M. K.

Barlow

C. H.

Kelly

J. J.

Jinguji

T. M.

and Callis

J. B

, Anal. Chem. 61, 1419 (1989).

20.

McShane

M. J.

and Coté

G. L

, Appl. Spectrosc. 52, 1073 (1998).

21.

Hazen

K. H.

Arnold

M. A.

and Small

G. W

, Anal. Chim. Acta 371, 255 (1998).

22.

Lands

L. C.

Hornby

Desrochers

Iler

and Heigenhauser

G. J. F

, J. Appl. Physiol. 77, 2506 (1994).

23.

Martens

and Næs

, Multivariate Calibration (John Wiley and Sons, New York, 1989), p. 419.

24.

Beebe

K. M.

and Kowalski

B. R

, Anal. Chem. 59, 1007A (1987).

25.

Arakaki

L. S. L.

Kushmerick

M. J.

and Burns

D. H

, Appl. Spectrosc. 50, 697 (1996).

26.

Haaland

D. M.

and Thomas

E. V

, Anal. Chem. 60, 1193 (1988).

27.

Holler

Burns

D. H.

and Callis

J. B

, Appl. Spectrosc. 43, 877 (1989).

28.

MacCartney

Spriet

L. L.

Heigenhauser

G. J. F.

Kowalchuk

J. M.

Sutton

J. R.

and Jones

N. L

, J. Appl. Physiol. 60, 1164 (1986).

29.

Trump

M. E.

Heigenhauser

G. J. F.

Putman

C. T.

and Spriet

L. L

, J. Appl. Physiol. 80, 1574 (1996).

30.

Lindinger

M. I.

Heigenhauser

G. J.

McKelvie

M. S.

and Jones

N. L

, Am. J. Physiol. 262 (1 Pt 2), R126 (1992).