Development and Validation of Rapid Resolution RP-HPLC Method for Simultaneous Determination of Atorvastatin and Related Compounds by Use of Chemometrics

Petkovska, Rumenka; Cornett, Claus; Dimitrovska, Aneta

doi:10.1080/00032710801978566

Cited by 34 publications

(21 citation statements)

References 13 publications

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“…The use of very low volumes of electrolyte (μL) and samples (nL) make the new MEKC procedures very interesting for determination of atorvastatin, purity evaluation and quantification of drug-related substances in a single analysis. The drawback of the proposed MEKC method is lower sensitivity compared to one obtained by RP-LC method for the same related substances [45]. The published UPLC method for simultaneous determination of atorvastatin and fenofibrate has better sensitivity and runtime of 3 min but the linearity, LOQ and LOD was established only for atorvastatin lactone [43].…”

Section: Capillary Electrophoresismentioning

confidence: 98%

See 1 more Smart Citation

A Review of Current Trends and Advances in Analytical Methods for Determination of Statins: Chromatography and Capillary Electrophoresis

Nigović¹,

Mornar²,

Sertić³

2012

Chromatography - The Most Versatile Method of Chemical Analysis

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Section: Capillary Electrophoresismentioning

confidence: 98%

“…Experimental design was used during method optimization and robustness testing [45]. Artificial Neural Networks were used for the modelling and prediction of chromatographic retention of atorvastatin and its impurities in micellar liquid chromatography [46].…”

Section: Atorvastatinmentioning

confidence: 99%

A Review of Current Trends and Advances in Analytical Methods for Determination of Statins: Chromatography and Capillary Electrophoresis

Nigović¹,

Mornar²,

Sertić³

2012

Chromatography - The Most Versatile Method of Chemical Analysis

View full text Add to dashboard Cite

“…A rapid resolution HPLC method was used for separating and quantifying the related impurities of atorvastatin, including two epoxide impurities atorvastatin epoxy dihydroxy and atorvastatin epoxy diketone. The limit of detection (LOD) and limit of quantitation (LOQ) for atorvastatin epoxy dihydroxy and atorvastatin epoxy diketone were 0.025 and 0.075 g/ml, and 0.026 and 0.077 g/ml, respectively (Petkovska et al, 2008). Kong et al (2001) determined two epoxide terpenoid impurities (actein and 27-deoxyactein) in a traditional Chinese herbal preparation (Cimicifuga foetida L.).…”

Section: Hplc Methodsmentioning

confidence: 99%

Genotoxic Impurities in Pharmaceuticals

Jouyban¹,

Parsa²

2012

Toxicity and Drug Testing

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“…On the other hand, some papers dealt with pharmaceutical analysis of atorvastatin with or without impurities [25][26][27]. Structure of atorvastatin and its impurities, which were investigated in present study is given in Fig.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Artificial Neural Networks for Modeling of Atorvastatin and Its Impurities Retention in Micellar Liquid Chromatography

et al. 2011

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Artificial Neural Networks (ANNs) present a powerful tool for the modeling of chromatographic retention. In this paper, the main objective was to use ANNs as a tool in modeling of atorvastatin and its impurities' retention in a micellar liquid chromatography (MLC) protocol. Factors referred to MLC were evaluated through 30 experiments defined by the Central Composite Design. In this manner, 5-x-3 topology as a starting point for ANNs' optimization was defined too. In the next step, in order to set the network with the best performance, network optimization was done. In the first part, the number of nodes in the hidden layer and the number of experimental data points in training set were simultaneously varied, and their importance was estimated with suitable statistical parameters. Furthermore, a series of training algorithms was applied to the current network. The Back Propagation, Conjugate Gradient-descent, Quick Propagation, QuasiNewton, and Delta-bar-Delta algorithms were used to obtain the optimal network. Finally, the predictive ability of the optimized neural network was confirmed through several statistical tests. The obtained network showed high ability to predict chromatographic retention of atorvastatin and its impurities in MLC.

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Development and Validation of Rapid Resolution RP-HPLC Method for Simultaneous Determination of Atorvastatin and Related Compounds by Use of Chemometrics

Cited by 34 publications

References 13 publications

A Review of Current Trends and Advances in Analytical Methods for Determination of Statins: Chromatography and Capillary Electrophoresis

A Review of Current Trends and Advances in Analytical Methods for Determination of Statins: Chromatography and Capillary Electrophoresis

Genotoxic Impurities in Pharmaceuticals

Optimization of Artificial Neural Networks for Modeling of Atorvastatin and Its Impurities Retention in Micellar Liquid Chromatography

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