Madaline 网络用于药物复方制剂的含量测定
APPLICATION OF MADALINE NEURAL NETWORK IN PHARMACEUTICAL ANALYSIS
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摘要: 目的 用 Madaline 网络进行复方头孢氨苄胶囊中头孢氨苄(CEX)和甲氧苄氨嘧啶(TMP)的含量测定。方法 通过 Madaline 网络变换,多组分体系中各组分的重叠光谱转换成互不干扰的谱峰;利用模拟样品得到变换后光谱与相应组分浓度的关系,在此基础上对待测样品进行含量测定。结果 复方制剂中 CEX 和 TMP 的平均回收率和相对标准偏差分别为100.1% ,0.4%和100.4% ,1.3%。结论 将 Madaline 网络用于药物制剂分析,可得到满意结果,值得进一步推广应用Abstract: AIM To determine the contents of cephalexin (CEX) and trimethoprim (TMP) in compound cephalexin capsules using Madaline neural network. METHODS The overlapping spectra of CEX and TMP were resolved by Madaline neural network into non-overlapping spectra. The maximum absorbance were recorded and used in quantification. RESULTS The average recoveries and RSDs of CEX and TMP were 100.1%, 0.4% and 100.4%, 1.3%, respectively. CONCLUSION Madaline neural network can be used successfully in pharmaceutical analysis.
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