Prediction of log kw of disubstituted benzene derivatives in reversed-phase high-performance liquid chromatography using multiple linear regression and radial basis function neural network

2002 ◽  
Vol 463 (1) ◽  
pp. 89-97 ◽  
Author(s):  
Yawei Wang ◽  
Xiaoyun Zhang ◽  
Xiaojun Yao ◽  
Yuhong Gao ◽  
Mancang Liu ◽  
...  
Keyword(s):  
Neural Network ◽  
High Performance Liquid Chromatography ◽  
Liquid Chromatography ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Basis Function ◽  
High Performance ◽  
Reversed Phase ◽  
Benzene Derivatives ◽  
Disubstituted Benzene

Development and Validation of A Reversed Phase-High Performance Liquid Chromatography Method for the Quantitative Estimation of Ramipril Drug Content from Formulated Dosage Form

2016 ◽  
Vol 6 (3) ◽  
Author(s):  
Raju Chandra ◽  
Manisha Pant ◽  
Harchan Singh ◽  
Deepak Kumar ◽  
Ashwani Sanghi
Keyword(s):  
High Performance Liquid Chromatography ◽  
Liquid Chromatography ◽  
Active Ingredient ◽  
High Performance ◽  
Limit Of Detection ◽  
Quantitative Estimation ◽  
Reversed Phase ◽  
Uv Detector ◽  
Chromatography Method ◽  
Drug Content

A reliable and reproducible reversed-phase high performance liquid chromatography (RP-HPLC) was developed for the quantitative determination of Remipril drug content from marketed bulk tablets. The active ingredient of Remipril separation achieved with C18 column using the methanol water mobile phase in the ratio of 40:60 (v/v). The active ingredient of the drug content quantify with UV detector at 215 nm. The retention time of Remipril is 5.63 min. A good linearity relation (R2=0.999) was obtained between drug concentration and average peak areas. The limit of detection and limit of quantification of the instrument were calculated 0.03 and 0.09 µg/mL, respectively. The accuracy of the method validation was determined 102.72% by recoveries method.

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