Citation: Wang Shuyu, Zhang Jin, Wang Cuicui, Yu Xiaoming, Cai Wensheng, Shao Xueguang. Determination of triglycerides in human serum by near-infrared diffuse reflectance spectroscopy using silver mirror as a substrate[J]. Chinese Chemical Letters, ;2019, 30(1): 111-114. doi: 10.1016/j.cclet.2018.01.016 shu

Determination of triglycerides in human serum by near-infrared diffuse reflectance spectroscopy using silver mirror as a substrate

Wang Shuyu ^a ,
Zhang Jin ^a ,
Wang Cuicui ^a ,
Yu Xiaoming ^b ,
Cai Wensheng ^a ,
Shao Xueguang ^a,c,d,e,*,,

a.
Research Center for Analytical Sciences, College of Chemistry, Nankai University, Tianjin 300071, China
b.
Laboratory of Clinic, People's Hospital of Gaomi City, Gaomi 261500, China
c.
Tianjin Key Laboratory of Biosensing and Molecular Recognition, Tianjin 300071, China
d.
State Key Laboratory of Medicinal Chemical Biology, Tianjin 300071, China
e.
Collaborative Innovation Center of Chemical Science and Engineering, Tianjin 300071, China

Corresponding author: Shao Xueguang, xshao@nankai.edu.cn

Received Date: 9 November 2017
Revised Date: 7 January 2018
Accepted Date: 9 January 2018
Available Online: 10 January 2018

Figures(3)

Near infrared diffuse reflectance spectroscopy (NIRDRS) has gained wide attention due to its convenience for rapid quantitative analysis of complex samples. A method for rapid analysis of triglycerides in human serum using NIRDRS with silver mirror as the substrate is developed. Due to the even and high reflectance of the silver mirror, the spectral response is enhanced and the background interference is reduced. Furthermore, both linear and nonlinear modeling strategies were investigated adopting the partial least squares (PLS) and least squares support vector regression (LS-SVR), continuous wavelet transform (CWT) was used for spectral preprocessing, and variable selection was tried using Monte Carlo uninformative variable elimination (MC-UVE), randomization test (RT) and competitive adaptive reweighted sampling (CARS) for optimization the models. The results show that the determination coefficient (R) between the predicted and reference concentration is 0.9624 and the root mean squared error of prediction (RMSEP) is 0.21. The maximum deviation of the prediction results is as low as 0.473 mmol/L. The proposed method may provide an alternative method for routine analysis of serum triglycerides in clinical applications.
- Near-infrared diffuse reflectance spectroscopy,
- Silver mirror,
- Variable selection,
- Quantitative model,
- Serum triglycerides
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