基于小波变换的多组分药物计算光度分析法

A Computational Spectral Analysis Method for Multi component Drugs Based on Wavelet Transform

本文将小波变换与主成分回归法相结合 ,提出一种新的多组分药物计算光度分析方法。通过有效去除原始数据中所含的噪声 ,提高了多组分光度分析计算的准确性和稳定性。将其用于氯霉素、醋酸地塞米松以及尼泊金乙脂药物体系分析 ,与主成分回归法相比 ,分析计算结果总平均相对误差由 1 4 8%下降到0 4 6%。

A novel computational spectral analysis method for multi component drugs is proposed.The method applies the wavelet denoise processing technique to principle component regression(PCR).Since noise in the original spectral data is effectively filtered,the performance of PCR is obviously improved.A typical example in multi component drug analysis has been used to verify the effectiveness of the novel algorithm.Compared with that obtained by PCR,the average of mean relative error which obtained by PCRW decreases to 0 46% from 1 48%.