Robustness Testing of Microemulsion Liquid Chromatographic Separation of Simvastatin and its Impurities
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2009
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Metapodaci
Prikaz svih podataka o dokumentuApstrakt
Liquid chromatography employing the microemulsion as eluent was applied for the analysis of simvastatin and its six impurities. Previously, the optimized and validated method was tested to prove the method's capability to perform during the small changes of important parameters. In this paper, influence of parameters tipical for microemulsion liquid chromatography (MELC) on the method's robustness was presented. For the results evaluation, and presentation, two statistical methods were applied. In order to designate the most convinient one, multiple regression (MR) and artificial neural networks (ANN) were applied and compared. A set of experiments was defined by the central composite design (CCD). Indepedent variables (SDS, n-buthanol and diisopropyl ether content) and dependent variables (retention factors of investigated substances) were the framework for both, MR and ANN. This study demonstrated that MR and radial basis function ANN are useful tools in understanding the effects of ...the investigated factors on the chromatographic system and definition of the robustness limits.
Ključne reči:
Artificial neural networks / MELC / Multiple regression / Robustness testing / SimvastatinIzvor:
Journal of Liquid Chromatography & Related Technologies, 2009, 32, 6, 874-889Izdavač:
- Taylor & Francis Inc, Philadelphia
Finansiranje / projekti:
DOI: 10.1080/10826070902768161
ISSN: 1082-6076
WoS: 000263646300009
Scopus: 2-s2.0-61649084961
Institucija/grupa
PharmacyTY - JOUR AU - Malenović, Anđelija AU - Ivanović, Darko AU - Jančić-Stojanović, Biljana AU - Medenica, Mirjana PY - 2009 UR - https://farfar.pharmacy.bg.ac.rs/handle/123456789/1248 AB - Liquid chromatography employing the microemulsion as eluent was applied for the analysis of simvastatin and its six impurities. Previously, the optimized and validated method was tested to prove the method's capability to perform during the small changes of important parameters. In this paper, influence of parameters tipical for microemulsion liquid chromatography (MELC) on the method's robustness was presented. For the results evaluation, and presentation, two statistical methods were applied. In order to designate the most convinient one, multiple regression (MR) and artificial neural networks (ANN) were applied and compared. A set of experiments was defined by the central composite design (CCD). Indepedent variables (SDS, n-buthanol and diisopropyl ether content) and dependent variables (retention factors of investigated substances) were the framework for both, MR and ANN. This study demonstrated that MR and radial basis function ANN are useful tools in understanding the effects of the investigated factors on the chromatographic system and definition of the robustness limits. PB - Taylor & Francis Inc, Philadelphia T2 - Journal of Liquid Chromatography & Related Technologies T1 - Robustness Testing of Microemulsion Liquid Chromatographic Separation of Simvastatin and its Impurities VL - 32 IS - 6 SP - 874 EP - 889 DO - 10.1080/10826070902768161 ER -
@article{ author = "Malenović, Anđelija and Ivanović, Darko and Jančić-Stojanović, Biljana and Medenica, Mirjana", year = "2009", abstract = "Liquid chromatography employing the microemulsion as eluent was applied for the analysis of simvastatin and its six impurities. Previously, the optimized and validated method was tested to prove the method's capability to perform during the small changes of important parameters. In this paper, influence of parameters tipical for microemulsion liquid chromatography (MELC) on the method's robustness was presented. For the results evaluation, and presentation, two statistical methods were applied. In order to designate the most convinient one, multiple regression (MR) and artificial neural networks (ANN) were applied and compared. A set of experiments was defined by the central composite design (CCD). Indepedent variables (SDS, n-buthanol and diisopropyl ether content) and dependent variables (retention factors of investigated substances) were the framework for both, MR and ANN. This study demonstrated that MR and radial basis function ANN are useful tools in understanding the effects of the investigated factors on the chromatographic system and definition of the robustness limits.", publisher = "Taylor & Francis Inc, Philadelphia", journal = "Journal of Liquid Chromatography & Related Technologies", title = "Robustness Testing of Microemulsion Liquid Chromatographic Separation of Simvastatin and its Impurities", volume = "32", number = "6", pages = "874-889", doi = "10.1080/10826070902768161" }
Malenović, A., Ivanović, D., Jančić-Stojanović, B.,& Medenica, M.. (2009). Robustness Testing of Microemulsion Liquid Chromatographic Separation of Simvastatin and its Impurities. in Journal of Liquid Chromatography & Related Technologies Taylor & Francis Inc, Philadelphia., 32(6), 874-889. https://doi.org/10.1080/10826070902768161
Malenović A, Ivanović D, Jančić-Stojanović B, Medenica M. Robustness Testing of Microemulsion Liquid Chromatographic Separation of Simvastatin and its Impurities. in Journal of Liquid Chromatography & Related Technologies. 2009;32(6):874-889. doi:10.1080/10826070902768161 .
Malenović, Anđelija, Ivanović, Darko, Jančić-Stojanović, Biljana, Medenica, Mirjana, "Robustness Testing of Microemulsion Liquid Chromatographic Separation of Simvastatin and its Impurities" in Journal of Liquid Chromatography & Related Technologies, 32, no. 6 (2009):874-889, https://doi.org/10.1080/10826070902768161 . .