STP934

    Application of Computerized Quantitative Infrared Spectroscopy to the Determination of the Principal Lipids Found in Blood Serum

    Published: Jan 1987


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    Abstract

    This paper discusses the issues related to the development of a practical infrared spectroscopic method for the determination of the principal types of serum lipids, triglycerides, cholesteryl esters, and phospholipids. Earlier papers on this subject are noted, and the various matrix mathematical approaches used previously for this application are compared. The results described in this work were obtained with a least squares curve fitting type of algorithm, termed a Q-matrix approach. Comparisons are made between results obtained with a number of different methods constructed for use with the Q-matrix approach.

    Keywords:

    lipid, phospholipid, triglyceride, tripalmitin, lecithin, cholesterol, phosphatidylcholine, cholesteryl, serum, ester, carbonyl, sphingomyelin, quantitative, infrared, multicomponent, linear regression, least squares, spectral, matrix inversion, overdetermined, underdetermined, biological, dimensional constraints, K, -matrix, P, -matrix, Q, -matrix, correlation computerized, analysis, calibration, determination, biomedical, risk factor, weighting function, absorbance noise, signal to noise ratio


    Author Information:

    McClure, GL
    Senior staff scientist, senior applications chemist, and senior staff scientist, Perkin-Elmer, Corp, Norwalk, CT

    Roush, PB
    Senior staff scientist, senior applications chemist, and senior staff scientist, Perkin-Elmer, Corp, Norwalk, CT

    Williams, JF
    Senior staff scientist, senior applications chemist, and senior staff scientist, Perkin-Elmer, Corp, Norwalk, CT

    Lehmann, CA
    Assistant professor, School of Applied Health Professions, State University of New York, Stony Brook, NY


    Paper ID: STP23166S

    Committee/Subcommittee: E13.03

    DOI: 10.1520/STP23166S


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