Arsenyev P A, Trezvov V V, Saratovskaya N V
Department of Physics and Technology of Electrotechnical Materials & Components, Moscow Power Engineering Institute, Russia.
Biomed Sci Instrum. 1997;33:275-80.
This work represents a method, which allows to determine phase composition of calcium hydroxylapatite basing on its infrared spectrum. The method uses factor analysis of the spectral data of calibration set of samples to determine minimal number of factors required to reproduce the spectra within experimental error. Multiple linear regression is applied to establish correlation between factor scores of calibration standards and their properties. The regression equations can be used to predict the property value of unknown sample. The regression model was built for determination of beta-tricalcium phosphate content in hydroxylapatite. Statistical estimation of quality of the model was carried out. Application of the factor analysis on spectral data allows to increase accuracy of beta-tricalcium phosphate determination and expand the range of determination towards its less concentration. Reproducibility of results is retained.
这项工作提出了一种基于红外光谱测定羟基磷灰石相组成的方法。该方法利用样品校准集的光谱数据进行因子分析，以确定在实验误差范围内重现光谱所需的最小因子数。应用多元线性回归建立校准标准品的因子得分与其性质之间的相关性。回归方程可用于预测未知样品的性质值。建立了用于测定羟基磷灰石中β-磷酸三钙含量的回归模型，并对模型质量进行了统计评估。对光谱数据进行因子分析可提高β-磷酸三钙测定的准确性，并将测定范围扩大到更低浓度。结果的重现性得以保持。
