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2020 , Vol. 78 >Issue 2: 125 - 129

DOI: https://doi.org/10.6023/A19120424

研究论文

温控近红外光谱用于葡萄糖的高灵敏检测

  • 汪明圆 ,
  • 崔晓宇 ,
  • 蔡文生 ,
  • 邵学广
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  • 南开大学化学学院 天津市生物传感与分子识别重点实验室 天津 300071

收稿日期: 2019-12-12

  网络出版日期: 2020-02-13

基金资助

项目受国家自然科学基金（No.21775076）和中央高校基本科研基金项目（No.63191743）资助.

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Temperature-Dependent Near-Infrared Spectroscopy for Sensitive Detection of Glucose

  • Wang Mingyuan ,
  • Cui Xiaoyu ,
  • Cai Wensheng ,
  • Shao Xueguang
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  • College of Chemistry, Nankai University, Tianjin Key Laboratory of Biosensing and Molecular Recognition, Tianjin 300071, China

Received date: 2019-12-12

  Online published: 2020-02-13

Supported by

Project supported by the National Natural Science Foundation of China (No. 21775076) and the Fundamental Research Funds for the Central Universities (No. 63191743).

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摘要

温控近红外光谱在混合体系定量分析以及分子间相互作用分析中已得到应用.本工作利用互因子分析方法（MFA）探索了温控近红外光谱技术测定血清样品中低浓度葡萄糖含量的可行性.测量了不同温度下葡萄糖含量分别为1.0～15.0mmol/L和0.0～1.0 mmol/L的两组血清溶液的近红外光谱，并利用MFA进行了定量计算.结果表明，利用该方法可以实现样品中微量葡萄糖的准确定量，MFA提取的标准信号（SS）的相对强度和葡萄糖浓度之间的线性相关系数R分别为0.9923和0.9895，预测均方根误差（RMSEP）分别为0.35和0.07 mmol/L.

关键词： 近红外光谱; 温度效应; 互因子分析; 葡萄糖检测; 血清

本文引用格式

汪明圆 , 崔晓宇 , 蔡文生 , 邵学广 . 温控近红外光谱用于葡萄糖的高灵敏检测[J]. 化学学报, 2020 , 78(2) : 125 -129 . DOI: 10.6023/A19120424

Abstract

Temperature-dependent near-infrared (NIR) spectroscopy has been proposed and used in the quantitative analysis of multi-component mixtures and the understanding of the interactions in solutions. Mutual factor analysis (MFA) was developed, in our previous work, to detect glucose content in aqueous solutions and serum samples using the NIR spectra measured at different temperatures. The essence of the algorithm is to extract and compare the spectral component, named as standardized signal (SS), mutually contained in the spectral data of different samples. The relative quantity of SS can be used to build the calibration model for quantitative analysis. Furthermore, the spectral information of water can be used for the analysis, because the change of the water spectrum with temperature is a reflection of the change in glucose content. In this work, serum samples with low glucose concentration were prepared and measured at the temperature range of 30~60℃ with a step of 5℃. The feasibility of MFA in the quantitative determination of low concentration samples was further studied. Serum solutions with glucose content of 1.0~15.0 mmol/L and 0.0~1.0 mmol/L were prepared, respectively. Before calculation of MFA, continuous wavelet transform (CWT) was used to improve the resolution of the spectra. The results show that MFA can achieve an accurate quantification of the glucose content. The linear correlation coefficients (R) of the calibration models between the relative quantity of SS and the concentration of glucose are 0.9923 and 0.9895, respectively, and the root-mean-squared error of prediction (RMSEP) are 0.35 and 0.07 mmol/L, respectively. The relative error of predicted concentration of samples in the validation set obtained from the calibration model of samples with a concentration of 1.0~15.0 mmol/L are in the range of -12.00%~5.64%, which are in a reasonable level for clinical uses. Temperature-dependent NIR spectroscopy combined with MFA may be a potential way for detecting the micro-content components in complex aqueous systems.

Key words： near-infrared spectroscopy; temperature effect; mutual factor analysis; glucose detection; serum

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