人体血糖浓度近红外光谱无创检测过程中温度对结果的影响

利用近红外光谱进行人体血糖浓度无创检测过程中，检测结果会受到很多的因素影响，如测量温度，压力等，另外还有人体的状态。在这诸多的影响因素中，温度是一个不可忽视的因素。为了研究温度对测量结果的定量影响，文章采用葡萄糖水溶液，在15，20，25，30，35，40 ℃等六个温度点处做了研究，样品浓度范围为10～200 mg·dL-1,浓度间隔为10 mg·dL-1,波长范围为1 100～1 700 nm。在各温度点处建立模型，并利用不同的模型进行相互预测。建模结果为RMSEP值最大为11.227 9 mg·dL-1,最小为3.298 8 mg·dL-1,相关系数在0.98左右。当温度改变1 ℃时，预测结果会有平均Δc＝2.662(mg·dL-1·℃-1)的预测误差，这结果表明当建立模型温度与测试时的温度一致时误差最小。另外，文章提出了可以采用两种方法来减小或者补偿由温度给测量结果来的影响。

Temperature Effect on the Noninvasive Measurement of Human Blood Glucose by NIR

During the noninvasive measurements of body blood glucose, the result will be effected by many factors, such as the measuring conditions including temperature, contact pressure and so on, and in addition the change of body's state also will induce some error. However, among so many factors the temperature is very important and should be discussed. To find the quantitative value of the result bias caused by temperature in the wavelength range from 1 100 to 1 700 nm, the aqueous glucose with the concentration ranging from 10 mg x dL(-1) to 200 mg x dL(-1) and 10 mg x dL(-1) interval was detected at temperature of 15, 20, 25, 30, 35 and 40 degrees C. Then six different models at different temperature were founded and predicted one another. The maximum RMSEP result of models is 11. 227 9 mg x dL(-1) and the minimum is 3. 298 8 mg x dL(-1). The correlation is about 0.98. The authors have also found that 1 degrees C change of temperature will induce deltac = 2.662 (mg x dL(-1) x degrees C(-1)) change of the prediction result, so these show that the detect error will be minimal when the temperature of measuring is the same as that of modeling. Moreover, the authors put forward two approaches to decreasing or compensating the error induced by the temperature.