Literature DB >> 28224248

Vis-NIR spectroscopy with moving-window PLS method applied to rapid analysis of whole blood viscosity.

Jiemei Chen1, Zhiwei Yin1, Yi Tang1, Tao Pan2.   

Abstract

A rapid analytical method of human whole blood viscosity with low, medium, and high shear rates [WBV(L), WBV(M), and WBV(H), respectively] was developed using visible and near-infrared (Vis-NIR) spectroscopy combined with a moving-window partial least squares (MW-PLS) method. Two groups of peripheral blood samples were collected for modeling and validation. Separate analytical models were established for male and female groups to avoid interference in different gender groups and improve the homogeneity and prediction accuracy. Modeling was performed for multiple divisions of calibration and prediction sets to avoid over-fitting and achieve parameter stability. The joint analysis models for three indicators were selected through comprehensive evaluation of MW-PLS. The selected joint analysis models were 812-1278 nm for males and 670-1146 nm for females. The root-mean-square errors (SEP) and the correlation coefficients of prediction (RP) for all validation samples were 0.54 mPa•s and 0.91 for WBV(L), 0.25 mPa•s and 0.92 for WBV(M), and 0.22 mPa•s and 0.90 for WBV(H). Results indicated high prediction accuracy, with prediction values similar to the clinically measured values. Overall, the findings confirmed the feasibility of whole blood viscosity quantification based on Vis-NIR spectroscopy with MW-PLS. The proposed rapid and simple technique is a promising tool for surveillance, control, and treatment of cardio-cerebrovascular diseases in large populations. Graphical Abstract The caption/legend of the online abstract figure: The selected wavebands and the prediction effects for the three indicators of whole blood viscosity.

Entities:  

Keywords:  Joint-analysis model; Moving-window partial least squares; Shear rate; Visible and near-infrared spectroscopy; Whole blood viscosity

Mesh:

Year:  2017        PMID: 28224248     DOI: 10.1007/s00216-017-0218-9

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  2 in total

1.  Performance Improvement of NIR Spectral Pattern Recognition from Three Compensation Models' Voting and Multi-Modal Fusion.

Authors:  Niangen Ye; Sheng Zhong; Zile Fang; Haijun Gao; Zhihua Du; Heng Chen; Lu Yuan; Tao Pan
Journal:  Molecules       Date:  2022-07-13       Impact factor: 4.927

2.  Visible and Near-Infrared Spectroscopy Combined With Bayes Classifier Based on Wavelength Model Optimization Applied to Wine Multibrand Identification.

Authors:  Tao Pan; Jiaqi Li; Chunli Fu; Nailiang Chang; Jiemei Chen
Journal:  Front Nutr       Date:  2022-07-18
  2 in total

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