摘要
目的 :测定碘苯甲酸涂剂中苯甲酸和水杨酸的含量。方法 :应用人工神经网络误差反向传播模型进行含量测定。结果 :苯甲酸和水杨酸平均回收率和相对标准偏差分别为 10 0 .2 4% ,0 .2 3 % ;99.62 % ,0 .42 %。分析了 3批样品 ,结果满意。结论 :该方法简便、快速、准确。
Objective:To determine the content of benzoic acid and salicylic acid in the iodobenzoic acid paint. Method:Artificial neural network based on error back propagation was used. Results:The average recoveries and relative standard deviations of benzoic acid and salicylic acid were 100.24%, 0.23%, 99.62%, 0.42%, respectively. The results of three batches of samples agreed satisfactorily. Conclusion:The method was simple, rapid and accurate.
出处
《医药导报》
CAS
2003年第11期800-801,共2页
Herald of Medicine
关键词
碘苯甲酸涂剂
人工神经网络
苯甲酸
水杨酸
含量测定
Iodobenzoic acid paint
Artificial neural network
Benzoic acid
Salicylic acid
Content determination