Studies on the Absorption Characteristics of Triglyceride in Serum by near Infrared Spectroscopy

Abstract:

To determine the spectral ranges and extract relevant information from near infrared spectroscopy of serum in the regions of 12000-4000cm-1 when predicting triglyceride concentrations, in this paper, the first three principal components, which represent not less than 94 percents spectral information, were calculated using principal components analysis. According to this, certain spectral ranges, which contained useful absorption information, were determined based on the absorption characteristics of triglyceride and the absorption interference of water in serum. At last, three calibration models were developed coupled with the method of partial least squares regression, the results shows that there are significant improvement preferment compared the calibration based on the whole overtones spectral ranges. The analysis described here provides a method of spectral ranges selectivity by which the interference of other constituents can be eliminated easily and is useful for noninvasive measurements of the biophysical constituents in blood.

• Periodical: Advanced Materials Research (Volume 345)
• Pages: 124-127
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.345.124
• Online since: September 2011
• Authors: Dong Min Wang, Li Jun Yao
• Keywords: Absorption Characteristics, Near Infrared Spectroscopy (NIRS), Partial Least Squares Regression, Principal Component Analysis (PCA)

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