Determination of triglycerides in human serum by near-infrared diffuse reflectance spectroscopy using silver mirror as a substrate
Determination of triglycerides in human serum by near-infrared diffuse reflectance spectroscopy using silver mirror as a substrate
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以银镜为基底的近红外漫反射光谱法测定人血清中的甘油三酯
DOI：
10.1016/j.cclet.2018.01.016
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发表时间：
2019
影响因子：
9.1
通讯作者：
Shao Xueguang
中科院分区：
文献类型：
--
作者：
Wang Shuyu;Zhang Jin;Wang Cuicui;Yu Xiaoming;Cai Wensheng;Shao Xueguang
近红外漫反射光谱技术（NIRDRS）因其便于对复杂样品进行快速定量分析而受到广泛关注。建立了以银镜为底物的NIRDRS快速分析人血清甘油三酯的方法。由于银镜的均匀和高反射率，增强了光谱响应，减少了背景干扰。采用偏最小二乘（PLS）和最小二乘支持向量回归（LS-SVR）研究了线性和非线性建模策略，采用连续小波变换（CWT）进行光谱预处理，并尝试使用蒙特卡罗无信息变量消除（MC-UVE）、随机化检验（RT）和竞争自适应重加权抽样（CARS）进行变量选择优化模型。结果表明，预测浓度与参比浓度的决定系数(R)为0.9624，预测均方根误差（RMSEP）为0.21。预测结果的最大偏差低至0.473 mmol/L。该方法可为临床应用中血清甘油三酯的常规分析提供一种替代方法。
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.
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影响因子：
6.2
作者：
Hazen, KH;Arnold, MA;Small, GW
通讯作者：
Small, GW
DOI：
10.1016/j.saa.2012.05.034
发表时间：
2012-10
期刊：
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
影响因子：
--
作者：
Y. Ning;Jihui Li;W. Cai;X. Shao
通讯作者：
Y. Ning;Jihui Li;W. Cai;X. Shao
DOI：
10.1016/j.saa.2016.01.022
发表时间：
2016-04
期刊：
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
影响因子：
--
作者：
Lijun Yao;Ning Lyu;Jiemei Chen;T. Pan;Jing Yu
通讯作者：
Lijun Yao;Ning Lyu;Jiemei Chen;T. Pan;Jing Yu
影响因子：
6.2
作者：
Qureshi, Rashid Nazir;Kok, Wim Th.;Schoenmakers, Peter J.
通讯作者：
Schoenmakers, Peter J.
影响因子：
6.1
作者：
Nan Sheng;W. Cai;X. Shao
通讯作者：
Nan Sheng;W. Cai;X. Shao