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基于人工神经网络校准的时间分辨化学发光法同时测定卡托普利和氢氯噻嗪

Simultaneous determination of captopril and hydrochlorothiazide by time-resolved chemiluminescence with artificial neural network calibration.

作者信息

Yao Han-Chun, Sun Min, Yang Xiao-Feng, Zhang Zhen-Zhong, Li Hua

机构信息

School of Pharmaceutical Science, Zhengzhou University, Zhengzhou 450001, China.

Department of Chemistry, Northwest University, Xi'an 710069, China.

出版信息

J Pharm Anal. 2011 Feb;1(1):32-38. doi: 10.1016/S2095-1779(11)70006-5. Epub 2012 Jan 30.

Abstract

The combined use of chemometrics and chemiluminescence (CL) measurements, with the aid of the stopped-flow mixing technique, developed a simple time-resolved CL method for the simultaneous determination of captopril (CPL) and hydrochlorothiazide (HCT). The stopped-flow technique in a continuous-flow system was employed in this work in order to emphasize the kinetic differences between the two analytes in cerium (IV)-rhodamine 6G CL system. After the flow was stopped, an initial rise of CL signal was observed for HCT standards, while a direct decay of CL signal was obtained for CPL standards. The mixed CL signal was monitored and recorded on the whole process of continuousflow/stopped-flow, and the obtained data were processed by the chemometric approach of artificial neural network. The relative prediction error (RPE) of CPL and HCT was 5.9% and 8.7%, respectively. The recoveries of CPL and HCT in tablets were found to fall in the range between 95% and 106%. The proposed method was successfully applied to the simultaneous determination of CPL and HCT in a compound pharmaceutical formulation.

摘要

借助停流混合技术,将化学计量学与化学发光(CL)测量相结合,开发出一种简单的时间分辨CL方法,用于同时测定卡托普利(CPL)和氢氯噻嗪(HCT)。本研究采用连续流动系统中的停流技术,以突出铈(IV)-罗丹明6G CL体系中两种分析物之间的动力学差异。停流后,观察到HCT标准品的CL信号最初上升,而CPL标准品的CL信号则直接衰减。在连续流动/停流的全过程中监测并记录混合CL信号,所得数据采用人工神经网络化学计量学方法进行处理。CPL和HCT的相对预测误差(RPE)分别为5.9%和8.7%。片剂中CPL和HCT的回收率在95%至106%之间。所提出的方法成功应用于复方药物制剂中CPL和HCT的同时测定。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3845/5760760/5821da358d9a/gr1.jpg

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