标题： 使用近红外光谱和化学计量学多元方法分析血糖水平 显示英文标题

标题： Analyzing Blood Glucose Levels with Near Infra-Red Spectroscopy and Chemometric Multivariate Methods

摘要： 在本工作中，使用FT-IR方法记录血液的近红外吸收率。结果显示，当吸收曲线乘以水吸收光谱的一阶导数以及葡萄糖吸收光谱的一阶导数时，血液中与水干扰相关的峰从血液吸收光谱中被有效去除，从而更好地区分血液葡萄糖的峰。使用该方法的PCR预测相比使用净吸收率的PCR预测具有更小的误差，而基于导数的PCR方法中派生的主要成分数量比基于净吸收率的少。此外，基于葡萄糖摩尔吸光度的线性回归模型预测血糖水平也显示出可接受的准确性。 显示英文摘要

摘要： In this work, the blood NIR absorbances are recorded using the FT-IR method. It is shown that when the absorbance curves are multiplied by the first derivative of the water absorbance spectrum as well as by the first derivative of the glucose absorbance, the peaks related to the water interferent in the blood are effectively removed from the blood absorbance spectra, allowing for better distinction of the peaks of the blood glucose. The PCR prediction using this method shows smaller errors compared to the PCR employing the net absorbances, while the number of derived principal components is smaller in the PCR method based on the derivatives than the one based on the net absorbances. Additionally, the prediction of blood glucose levels using a linear regression model based on the molar absorptivity of glucose also demonstrates acceptable accuracy.