TY  - JOUR
AU  - Nikolić, Katarina
AU  - Đorđević-Filijović, Nataša
AU  - Maricić, Borislava
AU  - Agbaba, Danica
PY  - 2013
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/1870
AB  - The development of an RP-HPLC method for the separation of aripiprazole and its nine impurities was performed with the use of partial least squares regression, response surface plot methodology, and chromatographic response function. The HPLC retention times and computed molecular parameters of the aripiprazole and its nine impurities were further used for the quantitative structure-retention relationship (QSRR) study. The QSRR model, R-2: 0.899, Q(2): 0.832, root mean square error of estimation: 4.761, root mean square error of prediction: 6.614, was developed. Very good agreement between the predicted and observed retention times (t(R)) for three additional aripiprazole impurities (TC1-TC3) indicated the high prediction potential of the QSRR model for t(R) evaluation of other aripiprazole impurities and metabolites. The developed HPLC method is the first reported method for the efficient separation of aripiprazole and its nine impurities, which could be used for the analysis of an additional three aripiprazole impurities (TC1-TC3).
PB  - Wiley-VCH Verlag GMBH, Weinheim
T2  - Journal of Separation Science
T1  - Development of a novel RP-HPLC method for the efficient separation of aripiprazole and its nine impurities
VL  - 36
IS  - 19
SP  - 3165
EP  - 3175
DO  - 10.1002/jssc.201300477
ER  - 

@article{
author = "Nikolić, Katarina and Đorđević-Filijović, Nataša and Maricić, Borislava and Agbaba, Danica",
year = "2013",
abstract = "The development of an RP-HPLC method for the separation of aripiprazole and its nine impurities was performed with the use of partial least squares regression, response surface plot methodology, and chromatographic response function. The HPLC retention times and computed molecular parameters of the aripiprazole and its nine impurities were further used for the quantitative structure-retention relationship (QSRR) study. The QSRR model, R-2: 0.899, Q(2): 0.832, root mean square error of estimation: 4.761, root mean square error of prediction: 6.614, was developed. Very good agreement between the predicted and observed retention times (t(R)) for three additional aripiprazole impurities (TC1-TC3) indicated the high prediction potential of the QSRR model for t(R) evaluation of other aripiprazole impurities and metabolites. The developed HPLC method is the first reported method for the efficient separation of aripiprazole and its nine impurities, which could be used for the analysis of an additional three aripiprazole impurities (TC1-TC3).",
publisher = "Wiley-VCH Verlag GMBH, Weinheim",
journal = "Journal of Separation Science",
title = "Development of a novel RP-HPLC method for the efficient separation of aripiprazole and its nine impurities",
volume = "36",
number = "19",
pages = "3165-3175",
doi = "10.1002/jssc.201300477"
}

Nikolić, K., Đorđević-Filijović, N., Maricić, B.,& Agbaba, D.. (2013). Development of a novel RP-HPLC method for the efficient separation of aripiprazole and its nine impurities. in Journal of Separation Science
Wiley-VCH Verlag GMBH, Weinheim., 36(19), 3165-3175.
https://doi.org/10.1002/jssc.201300477

Nikolić K, Đorđević-Filijović N, Maricić B, Agbaba D. Development of a novel RP-HPLC method for the efficient separation of aripiprazole and its nine impurities. in Journal of Separation Science. 2013;36(19):3165-3175.
doi:10.1002/jssc.201300477 .

Nikolić, Katarina, Đorđević-Filijović, Nataša, Maricić, Borislava, Agbaba, Danica, "Development of a novel RP-HPLC method for the efficient separation of aripiprazole and its nine impurities" in Journal of Separation Science, 36, no. 19 (2013):3165-3175,
https://doi.org/10.1002/jssc.201300477 . .