Spectroscopic Evaluation of Glucose Concentration in Phosphate-Buffered Saline Solution Using Principal Component Analysis
Spectroscopic Evaluation of Glucose Concentration in Phosphate-Buffered Saline Solution Using Principal Component Analysis
复制标题
使用主成分分析对磷酸盐缓冲盐溶液中的葡萄糖浓度进行光谱评估
DOI：
10.1143/jjap.41.l440
复制
发表时间：
2002
影响因子：
1.5
通讯作者：
T. Sota
中科院分区：
文献类型：
--
作者：
A. Nakamura;T. Hasegawa;J. Nishijo;M. Kanazawa;K. Aizawa;T. Sota
将主成分分析法（PCA）应用于混合物红外衰减全反射（ATR）光谱的定量分析，以评价混合物中葡萄糖的浓度。迄今为止，化学浓度的光谱校准被认为需要多维最小二乘法，例如经典最小二乘法（CLS）和偏最小二乘法（PLS）回归技术。然而，在本研究中，仅通过PCA的红外ATR光谱的分析已被发现是有用的化学混合物中的特定的微小物种的浓度的评价。只有主成分分析的预测精度与偏最小二乘法相当。这项新技术将使我们能够无创地测量人体血液中的葡萄糖浓度。
Principal component analysis (PCA) has been used for quantitative analysis of infrared attenuated total reflection (ATR) spectra of chemical mixtures, so that the minute concentration of glucose in the chemical mixture would be evaluated. Spectroscopic calibration of chemical concentration has been, thus far, believed to require multidimensional least-squares methods, such as classical least squares (CLS) and partial least-squares (PLS) regression techniques. In the present study, however, the analysis of the infrared ATR spectra only by PCA has been found to be useful for the evaluation of concentration of specific minute species in a chemical mixture. The prediction accuracy by PCA only has proved to be comparable to that of PLS. The novel technique would enable us to measure the concentration of glucose in human blood with no invasion.