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利用近红外漫反射光谱技术研究了无损定量监测血糖的方法。使用BRUKERVECTOR 2 2傅里叶变换光谱仪和GRACEⅡ型血糖仪对一组健康自愿受试者 (两名年轻男子和两名年轻女子 )测试后 ,获得了不同的状态条件下 2 6个样本的光谱及其血糖值 ,选择一部分有代表性的样本作为建立模型使用 ,而被预测的样本来自不参加建模的数据。选择不同的谱区、预处理方法对数据进行处理得到以下结果 :1)谱区选在 90 0 0～12 0 0 0cm- 1 选择MIN MAX归一化预处理方法建模、预测 ,预测结果差值在 36mg·dL- 1 以上 ,选择平滑和二阶导数 ,则建模结果≤ 16mg·dL- 1 ,预测结果≤ 2 5mg·dL- 1 ;另选谱区 4 0 0 0～ 5 0 0 0cm- 1 ,选择平滑和一阶导数 ,建模与预测结果的差值在 2 5mg·dL- 1 以上。 2 )选择 4 0 0 0～ 90 0 0cm- 1 谱区 ,经平滑和二阶导数处理并在此区建模并预测 ,其中建模中预测差值≤ 15mg·dL- 1 ,预测≤ 31mg·dL- 1 ;由OPU 3 0 1自动挑选的谱区6 0 0 0～ 75 0 0cm- 1 和 4 2 0 0～ 4 70 0cm- 1 ,采用平滑、一阶导数和矢量归一化在此区建模和预测 ,其中建模中预测差值≤ 11mg·dL- 1 ,预测≤ 2 2mg·dL- 1 。 3)采用个体自我建模方法 ,在 90 0 0～ 12 0 0 0cm- 1 选择平滑和二阶导数进行预处理 ,建模结果≤ 15mg?
The method of non-destructive and quantitative monitoring of blood glucose was studied by near-infrared diffuse reflectance spectroscopy. After testing a group of healthy volunteers (two young men and two young women) using a BRUKERVECTOR 2 2 Fourier transform spectrometer and a GRACE II blood glucose meter, the spectra of 26 samples under different status conditions and The blood glucose level, select a representative part of the sample as a model to use, and predict the sample from the data do not participate in modeling. Different spectral regions and pretreatment methods were selected to process the data to get the following results: 1) The spectral region was selected at 90 0 0 ~ 120 000 cm -1 to select the MIN MAX normalized preprocessing method to model, predict and predict poor results The value of 36mg · dL-1 or more, select the smooth and the second derivative, the modeling results ≤ 16mg · dL-1, the predictive value ≤ 25mg · dL-1; alternative spectrum 4 0 0 0 ~ 5 0 0 0cm - 1, Select the smoothing and the first derivative, the difference between the modeling and prediction results in 25mg · dL-1 or more. 2) Select the 4 0 0 0 0 0 0 0 0 0 cm -1 spectral region, process it by smoothing and second order derivative, and model and predict it in this region, in which the predicted difference is less than 15 mg · dL -1 and the prediction is less than 31 mg · dL- 1; the spectrum regions automatically selected by OPU 3 0 1 are 6 0 0 0 ~ 75 0 0 cm -1 and 4 2 0 0 ~ 4 70 0 cm -1, and are smoothed, first derivative and vector normalized in this region Modeling and prediction, in which the prediction of the model difference ≤ 11mg · dL-1, predicted ≤ 22mg · dL-1. 3) The individual self-modeling method was used to select the smoothing and the second derivative at 90 0 0 ~ 120 000 cm -1 for pretreatment. The modeling results were ≤ 15 mg?