Experimental and Chemometric Optimization to Enhance the Performance of Near-infrared Diffuse Reflectance Spectroscopy

被引:5
|
作者
Wang, Cuicui [1 ]
Cai, Wensheng [1 ]
Shao, Xueguang [1 ,2 ,3 ,4 ,5 ]
机构
[1] Nankai Univ, Coll Chem, Res Ctr Analyt Sci, Tianjin, Peoples R China
[2] Nankai Univ, Tianjin Key Lab Biosensing & Mol Recognit, Tianjin, Peoples R China
[3] Nankai Univ, State Key Lab Med Chem Biol, Tianjin, Peoples R China
[4] Collaborat Innovat Ctr Chem Sci & Engn Tianjin, Tianjin, Peoples R China
[5] Kashgar Univ, Coll Chem & Environm Sci, Xinjiang Lab Native Med & Edible Plant Resources, Kashgar, Peoples R China
基金
中国国家自然科学基金;
关键词
Chemometrics; lysozyme; near-infrared diffuse reflectance spectroscopy; silver mirror; trace analysis; SILICONE SENSING PHASE; MULTIVARIATE CALIBRATION; VARIABLE SELECTION; AROMATIC-HYDROCARBONS; DETECTION LIMITS; LEAST-SQUARES; SPECTRA; MODELS; REFLECTIVITY; STRATEGY;
D O I
10.1080/00032719.2017.1337779
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Approaches for improving the performance of near-infrared diffuse reflectance spectroscopy (NIRDRS) have been extensively studied. The silver mirror was found to be a substrate to enhance the detection ability of this technique. For further optimization of the method, experimental and chemometric efforts were made in this study. Lysozyme samples of different concentrations were spotted on the silver mirror for measuring the spectra. Low-resolution spectra with repeated measurements were used for increasing the signal-to-noise ratio, and the chemometric methods of variable selection and nonlinear modeling were used to make the quantitative model more effective and accurate. The results show that the quality of the spectra was improved and a satisfactory quantitative model was obtained after optimization. The maximum deviation for the prediction samples is only 2.98 mu g, which is much lower than the reported values in previous papers. Significant advances were obtained for NIRDRS for trace analysis.
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页码:537 / 546
页数:10
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