Agatonović-Kuštrin, Snežana

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orcid::0000-0002-7714-5510
  • Agatonović-Kuštrin, Snežana (16)
Projects

Author's Bibliography

Analysis of phenolics in wine by high performance thin-layer chromatography with gradient elution and high resolution plate imaging

Agatonović-Kuštrin, Snežana; Hettiarachchi, Chandima G.; Morton, David W.; Ražić, Slavica

(Elsevier Science BV, Amsterdam, 2015)

TY  - JOUR
AU  - Agatonović-Kuštrin, Snežana
AU  - Hettiarachchi, Chandima G.
AU  - Morton, David W.
AU  - Ražić, Slavica
PY  - 2015
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/2381
AB  - Health benefits of wine, especially with red wine, have been linked to the presence of a wide range of phenolic antioxidants. Thus, the aim of this study was to develop a simple, high performance thin layer chromatographic (HPTLC) method combined with high resolution digital plate images to visually compare multiple wine samples simultaneously on a single chromatographic plate and to quantify levels of gallic acid, caffeic acid, resveratrol and rutin, as representatives of the four different classes of phenolics found in wines. We also wanted to investigate the contribution of the investigated phenolic compounds to the total polyphenolic content (TPC) and total antioxidant capacity (TAC) of the wine samples. The average concentrations of caffeic acid, gallic acid, resveratrol, and rutin in the red wines were 2.15, 30.17, 0.59 and 2.47 mg/L respectively with their concentration below limit of quantification in the white wine samples. The highest concentration of resveratrol and rutin is found in the Cabernet and Shiraz wine samples. The amounts of gallic acid are correlated with TPC (r = 0.58). Italian wines have the highest correlation between TPC and TAC (r = 0.99) although they do not contain detectable amounts of resveratrol, they contain significant amount of rutin. Therefore, antioxidant properties might be associated with the presence of flavanols in these wines.
PB  - Elsevier Science BV, Amsterdam
T2  - Journal of Pharmaceutical and Biomedical Analysis
T1  - Analysis of phenolics in wine by high performance thin-layer chromatography with gradient elution and high resolution plate imaging
VL  - 102
SP  - 93
EP  - 99
DO  - 10.1016/j.jpba.2014.08.031
ER  - 
@article{
author = "Agatonović-Kuštrin, Snežana and Hettiarachchi, Chandima G. and Morton, David W. and Ražić, Slavica",
year = "2015",
abstract = "Health benefits of wine, especially with red wine, have been linked to the presence of a wide range of phenolic antioxidants. Thus, the aim of this study was to develop a simple, high performance thin layer chromatographic (HPTLC) method combined with high resolution digital plate images to visually compare multiple wine samples simultaneously on a single chromatographic plate and to quantify levels of gallic acid, caffeic acid, resveratrol and rutin, as representatives of the four different classes of phenolics found in wines. We also wanted to investigate the contribution of the investigated phenolic compounds to the total polyphenolic content (TPC) and total antioxidant capacity (TAC) of the wine samples. The average concentrations of caffeic acid, gallic acid, resveratrol, and rutin in the red wines were 2.15, 30.17, 0.59 and 2.47 mg/L respectively with their concentration below limit of quantification in the white wine samples. The highest concentration of resveratrol and rutin is found in the Cabernet and Shiraz wine samples. The amounts of gallic acid are correlated with TPC (r = 0.58). Italian wines have the highest correlation between TPC and TAC (r = 0.99) although they do not contain detectable amounts of resveratrol, they contain significant amount of rutin. Therefore, antioxidant properties might be associated with the presence of flavanols in these wines.",
publisher = "Elsevier Science BV, Amsterdam",
journal = "Journal of Pharmaceutical and Biomedical Analysis",
title = "Analysis of phenolics in wine by high performance thin-layer chromatography with gradient elution and high resolution plate imaging",
volume = "102",
pages = "93-99",
doi = "10.1016/j.jpba.2014.08.031"
}
Agatonović-Kuštrin, S., Hettiarachchi, C. G., Morton, D. W.,& Ražić, S.. (2015). Analysis of phenolics in wine by high performance thin-layer chromatography with gradient elution and high resolution plate imaging. in Journal of Pharmaceutical and Biomedical Analysis
Elsevier Science BV, Amsterdam., 102, 93-99.
https://doi.org/10.1016/j.jpba.2014.08.031
Agatonović-Kuštrin S, Hettiarachchi CG, Morton DW, Ražić S. Analysis of phenolics in wine by high performance thin-layer chromatography with gradient elution and high resolution plate imaging. in Journal of Pharmaceutical and Biomedical Analysis. 2015;102:93-99.
doi:10.1016/j.jpba.2014.08.031 .
Agatonović-Kuštrin, Snežana, Hettiarachchi, Chandima G., Morton, David W., Ražić, Slavica, "Analysis of phenolics in wine by high performance thin-layer chromatography with gradient elution and high resolution plate imaging" in Journal of Pharmaceutical and Biomedical Analysis, 102 (2015):93-99,
https://doi.org/10.1016/j.jpba.2014.08.031 . .
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Metals and organic compounds in the biosynthesis of cannabinoids: a chemometric approach to the analysis of Cannabis sativa samples

Radosavljević-Stevanović, Nataša; Marković, Jelena; Agatonović-Kuštrin, Snežana; Ražić, Slavica

(Taylor & Francis Ltd, Abingdon, 2014)

TY  - JOUR
AU  - Radosavljević-Stevanović, Nataša
AU  - Marković, Jelena
AU  - Agatonović-Kuštrin, Snežana
AU  - Ražić, Slavica
PY  - 2014
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/2163
AB  - Illicit production and trade of Cannabis sativa affect many societies. This drug is the most popular and easy to produce. Important information for the authorities is the production locality and the indicators of a particular production. This work is an attempt to recognise correlations between the metal content in the different parts of C. sativa L., in soils where plants were cultivated and the cannabinoids content, as a potential indicator. The organic fraction of the leaves of Cannabis plants was investigated by GC-FID analysis. In addition, the determination of Cu, Fe, Cr, Mn, Zn, Ca and Mg was realised by spectroscopic techniques (FAAS and GFAAS). In this study, numerous correlations between metal content in plants and soil, already confirmed in previous publications, were analysed applying chemometric unsupervised methods, that is, principal component analysis, factor analysis and cluster analysis, in order to highlight their role in the biosynthesis of cannabinoids.
PB  - Taylor & Francis Ltd, Abingdon
T2  - Natural Product Research
T1  - Metals and organic compounds in the biosynthesis of cannabinoids: a chemometric approach to the analysis of Cannabis sativa samples
VL  - 28
IS  - 8
SP  - 511
EP  - 516
DO  - 10.1080/14786419.2014.880912
ER  - 
@article{
author = "Radosavljević-Stevanović, Nataša and Marković, Jelena and Agatonović-Kuštrin, Snežana and Ražić, Slavica",
year = "2014",
abstract = "Illicit production and trade of Cannabis sativa affect many societies. This drug is the most popular and easy to produce. Important information for the authorities is the production locality and the indicators of a particular production. This work is an attempt to recognise correlations between the metal content in the different parts of C. sativa L., in soils where plants were cultivated and the cannabinoids content, as a potential indicator. The organic fraction of the leaves of Cannabis plants was investigated by GC-FID analysis. In addition, the determination of Cu, Fe, Cr, Mn, Zn, Ca and Mg was realised by spectroscopic techniques (FAAS and GFAAS). In this study, numerous correlations between metal content in plants and soil, already confirmed in previous publications, were analysed applying chemometric unsupervised methods, that is, principal component analysis, factor analysis and cluster analysis, in order to highlight their role in the biosynthesis of cannabinoids.",
publisher = "Taylor & Francis Ltd, Abingdon",
journal = "Natural Product Research",
title = "Metals and organic compounds in the biosynthesis of cannabinoids: a chemometric approach to the analysis of Cannabis sativa samples",
volume = "28",
number = "8",
pages = "511-516",
doi = "10.1080/14786419.2014.880912"
}
Radosavljević-Stevanović, N., Marković, J., Agatonović-Kuštrin, S.,& Ražić, S.. (2014). Metals and organic compounds in the biosynthesis of cannabinoids: a chemometric approach to the analysis of Cannabis sativa samples. in Natural Product Research
Taylor & Francis Ltd, Abingdon., 28(8), 511-516.
https://doi.org/10.1080/14786419.2014.880912
Radosavljević-Stevanović N, Marković J, Agatonović-Kuštrin S, Ražić S. Metals and organic compounds in the biosynthesis of cannabinoids: a chemometric approach to the analysis of Cannabis sativa samples. in Natural Product Research. 2014;28(8):511-516.
doi:10.1080/14786419.2014.880912 .
Radosavljević-Stevanović, Nataša, Marković, Jelena, Agatonović-Kuštrin, Snežana, Ražić, Slavica, "Metals and organic compounds in the biosynthesis of cannabinoids: a chemometric approach to the analysis of Cannabis sativa samples" in Natural Product Research, 28, no. 8 (2014):511-516,
https://doi.org/10.1080/14786419.2014.880912 . .
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In Silico Modelling of Pesticide Aquatic Toxicity

Agatonović-Kuštrin, Snežana; Morton, David W.; Ražić, Slavica

(Bentham Science Publ Ltd, Sharjah, 2014)

TY  - JOUR
AU  - Agatonović-Kuštrin, Snežana
AU  - Morton, David W.
AU  - Ražić, Slavica
PY  - 2014
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/2137
AB  - Human activities have introduced tens of thousands of chemicals into water systems around the world which has significantly impacted water quality and aquatic ecosystems. The aim of this study was to develop an in silico QSAR model, capable of predicting the aquatic toxicity of pesticides in terms of a lethal dose (LD50) for fish without requiring the use of in vivo testing. A large data set of 230 diverse pesticides, including fungicides, herbicides and insecticides, with experimentally measured LD50 values was used to develop a predictive QSAR model. Each pesticide molecule was described using 62 calculated molecular descriptors. These descriptors were then related to the LD50 values via an Artificial Neural Network. Sensitivity analysis was used to select descriptors that best describe the model. The developed model included 13 molecular descriptors related to lipophilicity, hydrogen binding and polarity. Note the value of the predictive squared correlation coefficient (q(2)) for the final model was 0.748, demonstrating the model's predictability. In the domain of QSAR studies, a q(2) value above 0.5 renders a model to be predictive. The model could therefore be used to accurately screen a wide range of compounds without the need for actual compound synthesis and to prioritize potentially toxic compounds for further testing.
PB  - Bentham Science Publ Ltd, Sharjah
T2  - Combinatorial Chemistry & High Throughput Screening
T1  - In Silico Modelling of Pesticide Aquatic Toxicity
VL  - 17
IS  - 9
SP  - 808
EP  - 818
DO  - 10.2174/1386207317666141021110738
ER  - 
@article{
author = "Agatonović-Kuštrin, Snežana and Morton, David W. and Ražić, Slavica",
year = "2014",
abstract = "Human activities have introduced tens of thousands of chemicals into water systems around the world which has significantly impacted water quality and aquatic ecosystems. The aim of this study was to develop an in silico QSAR model, capable of predicting the aquatic toxicity of pesticides in terms of a lethal dose (LD50) for fish without requiring the use of in vivo testing. A large data set of 230 diverse pesticides, including fungicides, herbicides and insecticides, with experimentally measured LD50 values was used to develop a predictive QSAR model. Each pesticide molecule was described using 62 calculated molecular descriptors. These descriptors were then related to the LD50 values via an Artificial Neural Network. Sensitivity analysis was used to select descriptors that best describe the model. The developed model included 13 molecular descriptors related to lipophilicity, hydrogen binding and polarity. Note the value of the predictive squared correlation coefficient (q(2)) for the final model was 0.748, demonstrating the model's predictability. In the domain of QSAR studies, a q(2) value above 0.5 renders a model to be predictive. The model could therefore be used to accurately screen a wide range of compounds without the need for actual compound synthesis and to prioritize potentially toxic compounds for further testing.",
publisher = "Bentham Science Publ Ltd, Sharjah",
journal = "Combinatorial Chemistry & High Throughput Screening",
title = "In Silico Modelling of Pesticide Aquatic Toxicity",
volume = "17",
number = "9",
pages = "808-818",
doi = "10.2174/1386207317666141021110738"
}
Agatonović-Kuštrin, S., Morton, D. W.,& Ražić, S.. (2014). In Silico Modelling of Pesticide Aquatic Toxicity. in Combinatorial Chemistry & High Throughput Screening
Bentham Science Publ Ltd, Sharjah., 17(9), 808-818.
https://doi.org/10.2174/1386207317666141021110738
Agatonović-Kuštrin S, Morton DW, Ražić S. In Silico Modelling of Pesticide Aquatic Toxicity. in Combinatorial Chemistry & High Throughput Screening. 2014;17(9):808-818.
doi:10.2174/1386207317666141021110738 .
Agatonović-Kuštrin, Snežana, Morton, David W., Ražić, Slavica, "In Silico Modelling of Pesticide Aquatic Toxicity" in Combinatorial Chemistry & High Throughput Screening, 17, no. 9 (2014):808-818,
https://doi.org/10.2174/1386207317666141021110738 . .
7
5
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Molecular Structural Characteristics Important in Drug-HSA Binding

Agatonović-Kuštrin, Snežana; Morton, David W.; Truong, Lisa; Ražić, Slavica

(Bentham Science Publ Ltd, Sharjah, 2014)

TY  - JOUR
AU  - Agatonović-Kuštrin, Snežana
AU  - Morton, David W.
AU  - Truong, Lisa
AU  - Ražić, Slavica
PY  - 2014
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/2124
AB  - A non-linear quantitative structure activity relationship (QSAR) model based on 350 drug molecules was developed as a predictive tool for drug protein binding, by correlating experimentally measured protein binding values with ten calculated molecular descriptors using a radial basis function (RBF) neural network. The developed model has a statistically significant overall correlation value (r > 0.73), a high efficiency ratio (0.986), and a good predictive squared correlation coefficient (q(2)) of 0.532, which is regarded as producing a robust and high quality QSAR model. The developed model may be used for the screening of drug candidate molecules that have high protein binding data, filtering out compounds that are unlikely to be protein bound, and may assist in the dose adjustment for drugs that are highly protein bound. The advantage of using such a model is that the percentage of a potential drug candidate that is protein bound (PB (%)) can be simply predicted from its molecular structure.
PB  - Bentham Science Publ Ltd, Sharjah
T2  - Combinatorial Chemistry & High Throughput Screening
T1  - Molecular Structural Characteristics Important in Drug-HSA Binding
VL  - 17
IS  - 10
SP  - 879
EP  - 890
UR  - https://hdl.handle.net/21.15107/rcub_farfar_2124
ER  - 
@article{
author = "Agatonović-Kuštrin, Snežana and Morton, David W. and Truong, Lisa and Ražić, Slavica",
year = "2014",
abstract = "A non-linear quantitative structure activity relationship (QSAR) model based on 350 drug molecules was developed as a predictive tool for drug protein binding, by correlating experimentally measured protein binding values with ten calculated molecular descriptors using a radial basis function (RBF) neural network. The developed model has a statistically significant overall correlation value (r > 0.73), a high efficiency ratio (0.986), and a good predictive squared correlation coefficient (q(2)) of 0.532, which is regarded as producing a robust and high quality QSAR model. The developed model may be used for the screening of drug candidate molecules that have high protein binding data, filtering out compounds that are unlikely to be protein bound, and may assist in the dose adjustment for drugs that are highly protein bound. The advantage of using such a model is that the percentage of a potential drug candidate that is protein bound (PB (%)) can be simply predicted from its molecular structure.",
publisher = "Bentham Science Publ Ltd, Sharjah",
journal = "Combinatorial Chemistry & High Throughput Screening",
title = "Molecular Structural Characteristics Important in Drug-HSA Binding",
volume = "17",
number = "10",
pages = "879-890",
url = "https://hdl.handle.net/21.15107/rcub_farfar_2124"
}
Agatonović-Kuštrin, S., Morton, D. W., Truong, L.,& Ražić, S.. (2014). Molecular Structural Characteristics Important in Drug-HSA Binding. in Combinatorial Chemistry & High Throughput Screening
Bentham Science Publ Ltd, Sharjah., 17(10), 879-890.
https://hdl.handle.net/21.15107/rcub_farfar_2124
Agatonović-Kuštrin S, Morton DW, Truong L, Ražić S. Molecular Structural Characteristics Important in Drug-HSA Binding. in Combinatorial Chemistry & High Throughput Screening. 2014;17(10):879-890.
https://hdl.handle.net/21.15107/rcub_farfar_2124 .
Agatonović-Kuštrin, Snežana, Morton, David W., Truong, Lisa, Ražić, Slavica, "Molecular Structural Characteristics Important in Drug-HSA Binding" in Combinatorial Chemistry & High Throughput Screening, 17, no. 10 (2014):879-890,
https://hdl.handle.net/21.15107/rcub_farfar_2124 .
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4

High performance thin layer chromatography (HPTLC) and high performance liquid chromatography (HPLC) for the qualitative and quantitative analysis of Calendula officinalis-Advantages and limitations

Loescher, Christine M.; Morton, David W.; Ražić, Slavica; Agatonović-Kuštrin, Snežana

(Elsevier Science BV, Amsterdam, 2014)

TY  - JOUR
AU  - Loescher, Christine M.
AU  - Morton, David W.
AU  - Ražić, Slavica
AU  - Agatonović-Kuštrin, Snežana
PY  - 2014
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/2093
AB  - Chromatography techniques such as HPTLC and HPLC are commonly used to produce a chemical fingerprint of a plant to allow identification and quantify the main constituents within the plant. The aims of this study were to compare HPTLC and HPLC, for qualitative and quantitative analysis of the major constituents of Calendula officinalis and to investigate the effect of different extraction techniques on the C officinalis extract composition from different parts of the plant. The results found HPTLC to be effective for qualitative analysis, however, HPLC was found to be more accurate for quantitative analysis. A combination of the two methods may be useful in a quality control setting as it would allow rapid qualitative analysis of herbal material while maintaining accurate quantification of extract composition. (C) 2014 Elsevier B.V. All rights reserved.
PB  - Elsevier Science BV, Amsterdam
T2  - Journal of Pharmaceutical and Biomedical Analysis
T1  - High performance thin layer chromatography (HPTLC) and high performance liquid chromatography (HPLC) for the qualitative and quantitative analysis of Calendula officinalis-Advantages and limitations
VL  - 98
SP  - 52
EP  - 59
DO  - 10.1016/j.jpba.2014.04.023
ER  - 
@article{
author = "Loescher, Christine M. and Morton, David W. and Ražić, Slavica and Agatonović-Kuštrin, Snežana",
year = "2014",
abstract = "Chromatography techniques such as HPTLC and HPLC are commonly used to produce a chemical fingerprint of a plant to allow identification and quantify the main constituents within the plant. The aims of this study were to compare HPTLC and HPLC, for qualitative and quantitative analysis of the major constituents of Calendula officinalis and to investigate the effect of different extraction techniques on the C officinalis extract composition from different parts of the plant. The results found HPTLC to be effective for qualitative analysis, however, HPLC was found to be more accurate for quantitative analysis. A combination of the two methods may be useful in a quality control setting as it would allow rapid qualitative analysis of herbal material while maintaining accurate quantification of extract composition. (C) 2014 Elsevier B.V. All rights reserved.",
publisher = "Elsevier Science BV, Amsterdam",
journal = "Journal of Pharmaceutical and Biomedical Analysis",
title = "High performance thin layer chromatography (HPTLC) and high performance liquid chromatography (HPLC) for the qualitative and quantitative analysis of Calendula officinalis-Advantages and limitations",
volume = "98",
pages = "52-59",
doi = "10.1016/j.jpba.2014.04.023"
}
Loescher, C. M., Morton, D. W., Ražić, S.,& Agatonović-Kuštrin, S.. (2014). High performance thin layer chromatography (HPTLC) and high performance liquid chromatography (HPLC) for the qualitative and quantitative analysis of Calendula officinalis-Advantages and limitations. in Journal of Pharmaceutical and Biomedical Analysis
Elsevier Science BV, Amsterdam., 98, 52-59.
https://doi.org/10.1016/j.jpba.2014.04.023
Loescher CM, Morton DW, Ražić S, Agatonović-Kuštrin S. High performance thin layer chromatography (HPTLC) and high performance liquid chromatography (HPLC) for the qualitative and quantitative analysis of Calendula officinalis-Advantages and limitations. in Journal of Pharmaceutical and Biomedical Analysis. 2014;98:52-59.
doi:10.1016/j.jpba.2014.04.023 .
Loescher, Christine M., Morton, David W., Ražić, Slavica, Agatonović-Kuštrin, Snežana, "High performance thin layer chromatography (HPTLC) and high performance liquid chromatography (HPLC) for the qualitative and quantitative analysis of Calendula officinalis-Advantages and limitations" in Journal of Pharmaceutical and Biomedical Analysis, 98 (2014):52-59,
https://doi.org/10.1016/j.jpba.2014.04.023 . .
52
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51

Stability studies of omeprazole and omeprazole-cyclodextrin inclusion complexes at different PH values

Agatonović-Kuštrin, Snežana; Zečević, Mira; Jocić, Biljana

(Savez farmaceutskih udruženja Srbije, Beograd, 2006)

TY  - CONF
AU  - Agatonović-Kuštrin, Snežana
AU  - Zečević, Mira
AU  - Jocić, Biljana
PY  - 2006
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/744
PB  - Savez farmaceutskih udruženja Srbije, Beograd
C3  - Arhiv za farmaciju
T1  - Stability studies of omeprazole and omeprazole-cyclodextrin inclusion complexes at different PH values
T1  - Studije stabilnosti omeprazola i njegovih inkluzionih kompleksa sa ciklodekstrinom pri različitim PH vrednostima
VL  - 56
IS  - 5
SP  - 760
EP  - 761
UR  - https://hdl.handle.net/21.15107/rcub_farfar_744
ER  - 
@conference{
author = "Agatonović-Kuštrin, Snežana and Zečević, Mira and Jocić, Biljana",
year = "2006",
publisher = "Savez farmaceutskih udruženja Srbije, Beograd",
journal = "Arhiv za farmaciju",
title = "Stability studies of omeprazole and omeprazole-cyclodextrin inclusion complexes at different PH values, Studije stabilnosti omeprazola i njegovih inkluzionih kompleksa sa ciklodekstrinom pri različitim PH vrednostima",
volume = "56",
number = "5",
pages = "760-761",
url = "https://hdl.handle.net/21.15107/rcub_farfar_744"
}
Agatonović-Kuštrin, S., Zečević, M.,& Jocić, B.. (2006). Stability studies of omeprazole and omeprazole-cyclodextrin inclusion complexes at different PH values. in Arhiv za farmaciju
Savez farmaceutskih udruženja Srbije, Beograd., 56(5), 760-761.
https://hdl.handle.net/21.15107/rcub_farfar_744
Agatonović-Kuštrin S, Zečević M, Jocić B. Stability studies of omeprazole and omeprazole-cyclodextrin inclusion complexes at different PH values. in Arhiv za farmaciju. 2006;56(5):760-761.
https://hdl.handle.net/21.15107/rcub_farfar_744 .
Agatonović-Kuštrin, Snežana, Zečević, Mira, Jocić, Biljana, "Stability studies of omeprazole and omeprazole-cyclodextrin inclusion complexes at different PH values" in Arhiv za farmaciju, 56, no. 5 (2006):760-761,
https://hdl.handle.net/21.15107/rcub_farfar_744 .

Multiple regression analysis for pharmacokinetic parameter prediction of load compounds

Agatonović-Kuštrin, Snežana; Zečević, Mira; Jocić, Biljana

(Savez farmaceutskih udruženja Srbije, Beograd, 2006)

TY  - CONF
AU  - Agatonović-Kuštrin, Snežana
AU  - Zečević, Mira
AU  - Jocić, Biljana
PY  - 2006
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/726
PB  - Savez farmaceutskih udruženja Srbije, Beograd
C3  - Arhiv za farmaciju
T1  - Multiple regression analysis for pharmacokinetic parameter prediction of load compounds
T1  - Multipla regresiona analiza u predviđanju farmakokinetičkih parametara preparata olova
VL  - 56
IS  - 5
SP  - 758
EP  - 759
UR  - https://hdl.handle.net/21.15107/rcub_farfar_726
ER  - 
@conference{
author = "Agatonović-Kuštrin, Snežana and Zečević, Mira and Jocić, Biljana",
year = "2006",
publisher = "Savez farmaceutskih udruženja Srbije, Beograd",
journal = "Arhiv za farmaciju",
title = "Multiple regression analysis for pharmacokinetic parameter prediction of load compounds, Multipla regresiona analiza u predviđanju farmakokinetičkih parametara preparata olova",
volume = "56",
number = "5",
pages = "758-759",
url = "https://hdl.handle.net/21.15107/rcub_farfar_726"
}
Agatonović-Kuštrin, S., Zečević, M.,& Jocić, B.. (2006). Multiple regression analysis for pharmacokinetic parameter prediction of load compounds. in Arhiv za farmaciju
Savez farmaceutskih udruženja Srbije, Beograd., 56(5), 758-759.
https://hdl.handle.net/21.15107/rcub_farfar_726
Agatonović-Kuštrin S, Zečević M, Jocić B. Multiple regression analysis for pharmacokinetic parameter prediction of load compounds. in Arhiv za farmaciju. 2006;56(5):758-759.
https://hdl.handle.net/21.15107/rcub_farfar_726 .
Agatonović-Kuštrin, Snežana, Zečević, Mira, Jocić, Biljana, "Multiple regression analysis for pharmacokinetic parameter prediction of load compounds" in Arhiv za farmaciju, 56, no. 5 (2006):758-759,
https://hdl.handle.net/21.15107/rcub_farfar_726 .

Validation of an HPLC method for the simultaneous determination of eletriptan and UK 120.413

Zečević, Mira; Jocić, Biljana; Agatonović-Kuštrin, Snežana; Živanović, Ljiljana

(Srpsko hemijsko društvo, Beograd, 2006)

TY  - JOUR
AU  - Zečević, Mira
AU  - Jocić, Biljana
AU  - Agatonović-Kuštrin, Snežana
AU  - Živanović, Ljiljana
PY  - 2006
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/878
AB  - Arapid and sensitive RPHPLCmethod was developed for the routine control analysis of eletriptan hydrobromide and its organic impurity UK 120.413 in Relpax® tablets. The chromatography was performed at 20°C using a C18 XTerra ™ (5 µm, 150 x 4,6 mm) column at a flow rate 1.0 ml/min. The drug and its impurity were detected at 225 nm. The mobile phase consisted of TEA (1 %) - methanol (67.2:32.8 v/v), the pH of which was adjusted to 6.8 with 85 % orthophosphoric acid. Quantification was accomplished by the internal standard method. The developed RP HPLC method was validated by testing: accuracy, precision, repeatability, specificity, detection limit, quantification limit, linearity, robustness and sensitivity. High linearity of the analytical procedure was confirmed over the concentration range of 0.05 - 1.00 mg/ml for eletriptan hydrobromide and from 0.10 - 1.50 µg/ml for UK 120.413, with correlation coefficients greater than r = 0.995. The low value of the RSD expressed the good repeatability and precision of the method. Experimental design and a response surface method were used to test robustness of the analytical procedure and to evaluate the effect of variation of the method parameters, namely the mobile phase composition, pH and temperature. They showed small deviations from the method setting. The good recovery and low RSD confirm the suitability of the proposed RP HPLC method for the routine determination of eletriptan hydrobromide and its impurity UK 120.413 in Relpax® tables.
AB  - U ovom radu je predstavljena brza i osetljiva RP HPLC metoda namenjena za rutinsko ispitivanje i kontrolu eletriptan hidrobromida i njegove organske nečistoće UK 120.413 u Relpax® tabletama. Hromatografski postupak je izveden uz korišćenje kolone C 18 XTerra ™ (5 µm, 150 x 4.6 mm) pri protoku mobilne faze od 1.0 ml/min i na 20 °C, a detekcija lekovite supstance i njene nečistoće je vršena na 225 nm. Mobilna faza se sastojala iz smeše TEA(1 %) - metanol (67,2:32,8 v/v), pH vodene faze je podešen na 6.8 sa 85 % ortofosfornom kiselinom. Kvantitativna analiza je vršena metodom internog standarda. Predložena RP HPLC metoda je validirana, a ispitivani su tačnost, preciznost, ponovljivost, specifičnost, limit detekcije, limit kvantifikacije, linearnost, robusnost i osetljivost metode. Visoka linearnost analitičkog postupka je potvrđena u opsegu koncentracija 0,05-1,00 mg/ml za eletriptan hidrobromid i 0,10-1,50 µg/ml za UK 120.413, sa koeficijentima korelacije koji su veći od r = 0,995. Niska vrednost relativne standardne devijacije potvrđuje dobru ponovljivost i preciznost metode. Eksperimentalni dizajn i metoda površine odgovora sistema su korišćeni u toku ispitivanja robusnosti da bi se procenio uticaj variranja vrednosti hromatografskih parametara metode. Test robusnosti je obuhvatao sastav mobilne faze, pH i temperaturu u malim variranjima vrednosti oko nominalne. Dobre "recovery" vrednosti i niska relativna standardna devijacija potvrđuju da je predložena RP HPLC pogodna za rutinsko određivanje eletriptan hidrobromida i njegove nečistoće UK 120.412 u Relpax® tabletama.
PB  - Srpsko hemijsko društvo, Beograd
T2  - Journal of the Serbian Chemical Society
T1  - Validation of an HPLC method for the simultaneous determination of eletriptan and UK 120.413
T1  - Validacija HPLC metode za istovremeno određivanje eletriptana i UK 120.413
VL  - 71
IS  - 11
SP  - 1195
EP  - 1205
DO  - 10.2298/JSC0611195Z
ER  - 
@article{
author = "Zečević, Mira and Jocić, Biljana and Agatonović-Kuštrin, Snežana and Živanović, Ljiljana",
year = "2006",
abstract = "Arapid and sensitive RPHPLCmethod was developed for the routine control analysis of eletriptan hydrobromide and its organic impurity UK 120.413 in Relpax® tablets. The chromatography was performed at 20°C using a C18 XTerra ™ (5 µm, 150 x 4,6 mm) column at a flow rate 1.0 ml/min. The drug and its impurity were detected at 225 nm. The mobile phase consisted of TEA (1 %) - methanol (67.2:32.8 v/v), the pH of which was adjusted to 6.8 with 85 % orthophosphoric acid. Quantification was accomplished by the internal standard method. The developed RP HPLC method was validated by testing: accuracy, precision, repeatability, specificity, detection limit, quantification limit, linearity, robustness and sensitivity. High linearity of the analytical procedure was confirmed over the concentration range of 0.05 - 1.00 mg/ml for eletriptan hydrobromide and from 0.10 - 1.50 µg/ml for UK 120.413, with correlation coefficients greater than r = 0.995. The low value of the RSD expressed the good repeatability and precision of the method. Experimental design and a response surface method were used to test robustness of the analytical procedure and to evaluate the effect of variation of the method parameters, namely the mobile phase composition, pH and temperature. They showed small deviations from the method setting. The good recovery and low RSD confirm the suitability of the proposed RP HPLC method for the routine determination of eletriptan hydrobromide and its impurity UK 120.413 in Relpax® tables., U ovom radu je predstavljena brza i osetljiva RP HPLC metoda namenjena za rutinsko ispitivanje i kontrolu eletriptan hidrobromida i njegove organske nečistoće UK 120.413 u Relpax® tabletama. Hromatografski postupak je izveden uz korišćenje kolone C 18 XTerra ™ (5 µm, 150 x 4.6 mm) pri protoku mobilne faze od 1.0 ml/min i na 20 °C, a detekcija lekovite supstance i njene nečistoće je vršena na 225 nm. Mobilna faza se sastojala iz smeše TEA(1 %) - metanol (67,2:32,8 v/v), pH vodene faze je podešen na 6.8 sa 85 % ortofosfornom kiselinom. Kvantitativna analiza je vršena metodom internog standarda. Predložena RP HPLC metoda je validirana, a ispitivani su tačnost, preciznost, ponovljivost, specifičnost, limit detekcije, limit kvantifikacije, linearnost, robusnost i osetljivost metode. Visoka linearnost analitičkog postupka je potvrđena u opsegu koncentracija 0,05-1,00 mg/ml za eletriptan hidrobromid i 0,10-1,50 µg/ml za UK 120.413, sa koeficijentima korelacije koji su veći od r = 0,995. Niska vrednost relativne standardne devijacije potvrđuje dobru ponovljivost i preciznost metode. Eksperimentalni dizajn i metoda površine odgovora sistema su korišćeni u toku ispitivanja robusnosti da bi se procenio uticaj variranja vrednosti hromatografskih parametara metode. Test robusnosti je obuhvatao sastav mobilne faze, pH i temperaturu u malim variranjima vrednosti oko nominalne. Dobre "recovery" vrednosti i niska relativna standardna devijacija potvrđuju da je predložena RP HPLC pogodna za rutinsko određivanje eletriptan hidrobromida i njegove nečistoće UK 120.412 u Relpax® tabletama.",
publisher = "Srpsko hemijsko društvo, Beograd",
journal = "Journal of the Serbian Chemical Society",
title = "Validation of an HPLC method for the simultaneous determination of eletriptan and UK 120.413, Validacija HPLC metode za istovremeno određivanje eletriptana i UK 120.413",
volume = "71",
number = "11",
pages = "1195-1205",
doi = "10.2298/JSC0611195Z"
}
Zečević, M., Jocić, B., Agatonović-Kuštrin, S.,& Živanović, L.. (2006). Validation of an HPLC method for the simultaneous determination of eletriptan and UK 120.413. in Journal of the Serbian Chemical Society
Srpsko hemijsko društvo, Beograd., 71(11), 1195-1205.
https://doi.org/10.2298/JSC0611195Z
Zečević M, Jocić B, Agatonović-Kuštrin S, Živanović L. Validation of an HPLC method for the simultaneous determination of eletriptan and UK 120.413. in Journal of the Serbian Chemical Society. 2006;71(11):1195-1205.
doi:10.2298/JSC0611195Z .
Zečević, Mira, Jocić, Biljana, Agatonović-Kuštrin, Snežana, Živanović, Ljiljana, "Validation of an HPLC method for the simultaneous determination of eletriptan and UK 120.413" in Journal of the Serbian Chemical Society, 71, no. 11 (2006):1195-1205,
https://doi.org/10.2298/JSC0611195Z . .
3
8
7
9

The use of a response surface methodology on HPLC analysis of methyldopa, amiloride and hydrochlorothiazide in tablets

Zečević, Mira; Živanović, L; Agatonović-Kuštrin, Snežana; Minić, D

(Pergamon-Elsevier Science Ltd, Oxford, 2001)

TY  - JOUR
AU  - Zečević, Mira
AU  - Živanović, L
AU  - Agatonović-Kuštrin, Snežana
AU  - Minić, D
PY  - 2001
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/293
AB  - A multifactor optimisation technique is successfully applied to develop a new HPLC method in which methyldopa, hydrochlorothiazide and amiloride were analysed and determined on a C18 column with detection at 286 nm. The optimal conditions of HPLC separation were determined with the aid of the response surface diagram - 'window diagram'. The effect of simultaneously varying the pH, proportion aqueous acetic acidum and methanol in the mobile phase were studied to optimise the separation. The mobile phase composition that provides an acceptable resolution methyldopa, hydrochlorothiazide and amiloride in a short elution time is water-methanol (75:25) and pH 3.60. The k' values for methyldopa, hydrochlorothiazide and amiloride after optimisation were 1.40, 2.50 and 5.33, respectively. Relative retention (a) for ratio hydrochlorothiazide/methyldopa and amiloride/hydrochlorothiazide were 1.767 and 2.159, respectively. Correlation coefficients of the calibration curves for all analytes were greater than 0.995 and the R.S.D. values for the slope and the intercept with respect to the linearity were less than 2%. A method is applied for the quantitative analysis of Aatan(R) tablets (Lek-Ljubljana). The powdered tablets are extracted with methanol, containing caffeine as the internal standard and assayed by comparison of peak areas after liquid chromatography. The high recovery (for all analytes about 100%) and the low R.S.D. ( lt 2%) confirm good precision and reproducibility of the chromatographic method.
PB  - Pergamon-Elsevier Science Ltd, Oxford
T2  - Journal of Pharmaceutical and Biomedical Analysis
T1  - The use of a response surface methodology on HPLC analysis of methyldopa, amiloride and hydrochlorothiazide in tablets
VL  - 24
IS  - 5-6
SP  - 1019
EP  - 1025
DO  - 10.1016/S0731-7085(00)00536-7
ER  - 
@article{
author = "Zečević, Mira and Živanović, L and Agatonović-Kuštrin, Snežana and Minić, D",
year = "2001",
abstract = "A multifactor optimisation technique is successfully applied to develop a new HPLC method in which methyldopa, hydrochlorothiazide and amiloride were analysed and determined on a C18 column with detection at 286 nm. The optimal conditions of HPLC separation were determined with the aid of the response surface diagram - 'window diagram'. The effect of simultaneously varying the pH, proportion aqueous acetic acidum and methanol in the mobile phase were studied to optimise the separation. The mobile phase composition that provides an acceptable resolution methyldopa, hydrochlorothiazide and amiloride in a short elution time is water-methanol (75:25) and pH 3.60. The k' values for methyldopa, hydrochlorothiazide and amiloride after optimisation were 1.40, 2.50 and 5.33, respectively. Relative retention (a) for ratio hydrochlorothiazide/methyldopa and amiloride/hydrochlorothiazide were 1.767 and 2.159, respectively. Correlation coefficients of the calibration curves for all analytes were greater than 0.995 and the R.S.D. values for the slope and the intercept with respect to the linearity were less than 2%. A method is applied for the quantitative analysis of Aatan(R) tablets (Lek-Ljubljana). The powdered tablets are extracted with methanol, containing caffeine as the internal standard and assayed by comparison of peak areas after liquid chromatography. The high recovery (for all analytes about 100%) and the low R.S.D. ( lt 2%) confirm good precision and reproducibility of the chromatographic method.",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "Journal of Pharmaceutical and Biomedical Analysis",
title = "The use of a response surface methodology on HPLC analysis of methyldopa, amiloride and hydrochlorothiazide in tablets",
volume = "24",
number = "5-6",
pages = "1019-1025",
doi = "10.1016/S0731-7085(00)00536-7"
}
Zečević, M., Živanović, L., Agatonović-Kuštrin, S.,& Minić, D.. (2001). The use of a response surface methodology on HPLC analysis of methyldopa, amiloride and hydrochlorothiazide in tablets. in Journal of Pharmaceutical and Biomedical Analysis
Pergamon-Elsevier Science Ltd, Oxford., 24(5-6), 1019-1025.
https://doi.org/10.1016/S0731-7085(00)00536-7
Zečević M, Živanović L, Agatonović-Kuštrin S, Minić D. The use of a response surface methodology on HPLC analysis of methyldopa, amiloride and hydrochlorothiazide in tablets. in Journal of Pharmaceutical and Biomedical Analysis. 2001;24(5-6):1019-1025.
doi:10.1016/S0731-7085(00)00536-7 .
Zečević, Mira, Živanović, L, Agatonović-Kuštrin, Snežana, Minić, D, "The use of a response surface methodology on HPLC analysis of methyldopa, amiloride and hydrochlorothiazide in tablets" in Journal of Pharmaceutical and Biomedical Analysis, 24, no. 5-6 (2001):1019-1025,
https://doi.org/10.1016/S0731-7085(00)00536-7 . .
32
31
34

Statistical optimization of a reversed-phase liquid chromatographic method for the analysis of amiloride and hydrochlorothiazide in tablets

Zečević, Mira; Živanović, LJ; Agatonović-Kuštrin, Snežana; Ivanović, D; Maksimović, M

(Pergamon-Elsevier Science Ltd, Oxford, 2000)

TY  - JOUR
AU  - Zečević, Mira
AU  - Živanović, LJ
AU  - Agatonović-Kuštrin, Snežana
AU  - Ivanović, D
AU  - Maksimović, M
PY  - 2000
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/252
AB  - A method has been developed for the separation of hydrochlorothiazide and amiloride by high-performance liquid chromatographic (HPLC) method on a C-18 column with detection at 280 nm. The optimal conditions of separation were determined with the aid of 'window diagram' technique of Laub and Purnell. The effect of simultaneously varying the pH, proportion aqueous acetic acid and methanol in the mobile phase were studied to optimize the separation.,A response surface diagram was used to optimize the experimental conditions for the separation. The mobile phase composition that provides an acceptable resolution hydrochlorothiazide and amiloride in a short elution time is water:methanol (60:40) and pH 3.2 (pH adjusted to 3.2 with CH3COOH). A method is applied for the quantitative analysis of Moduretic((R)) tablets (Merck Sharp & Dokme International). The powdered tablets are extracted with methanol, containing caffeine as the internal standard; and assayed by comparison of peak areas after liquid chromatography.
PB  - Pergamon-Elsevier Science Ltd, Oxford
T2  - Journal of Pharmaceutical and Biomedical Analysis
T1  - Statistical optimization of a reversed-phase liquid chromatographic method for the analysis of amiloride and hydrochlorothiazide in tablets
VL  - 22
IS  - 1
SP  - 1
EP  - 6
DO  - 10.1016/S0731-7085(99)00253-8
ER  - 
@article{
author = "Zečević, Mira and Živanović, LJ and Agatonović-Kuštrin, Snežana and Ivanović, D and Maksimović, M",
year = "2000",
abstract = "A method has been developed for the separation of hydrochlorothiazide and amiloride by high-performance liquid chromatographic (HPLC) method on a C-18 column with detection at 280 nm. The optimal conditions of separation were determined with the aid of 'window diagram' technique of Laub and Purnell. The effect of simultaneously varying the pH, proportion aqueous acetic acid and methanol in the mobile phase were studied to optimize the separation.,A response surface diagram was used to optimize the experimental conditions for the separation. The mobile phase composition that provides an acceptable resolution hydrochlorothiazide and amiloride in a short elution time is water:methanol (60:40) and pH 3.2 (pH adjusted to 3.2 with CH3COOH). A method is applied for the quantitative analysis of Moduretic((R)) tablets (Merck Sharp & Dokme International). The powdered tablets are extracted with methanol, containing caffeine as the internal standard; and assayed by comparison of peak areas after liquid chromatography.",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "Journal of Pharmaceutical and Biomedical Analysis",
title = "Statistical optimization of a reversed-phase liquid chromatographic method for the analysis of amiloride and hydrochlorothiazide in tablets",
volume = "22",
number = "1",
pages = "1-6",
doi = "10.1016/S0731-7085(99)00253-8"
}
Zečević, M., Živanović, L., Agatonović-Kuštrin, S., Ivanović, D.,& Maksimović, M.. (2000). Statistical optimization of a reversed-phase liquid chromatographic method for the analysis of amiloride and hydrochlorothiazide in tablets. in Journal of Pharmaceutical and Biomedical Analysis
Pergamon-Elsevier Science Ltd, Oxford., 22(1), 1-6.
https://doi.org/10.1016/S0731-7085(99)00253-8
Zečević M, Živanović L, Agatonović-Kuštrin S, Ivanović D, Maksimović M. Statistical optimization of a reversed-phase liquid chromatographic method for the analysis of amiloride and hydrochlorothiazide in tablets. in Journal of Pharmaceutical and Biomedical Analysis. 2000;22(1):1-6.
doi:10.1016/S0731-7085(99)00253-8 .
Zečević, Mira, Živanović, LJ, Agatonović-Kuštrin, Snežana, Ivanović, D, Maksimović, M, "Statistical optimization of a reversed-phase liquid chromatographic method for the analysis of amiloride and hydrochlorothiazide in tablets" in Journal of Pharmaceutical and Biomedical Analysis, 22, no. 1 (2000):1-6,
https://doi.org/10.1016/S0731-7085(99)00253-8 . .
14
18
23

Prediction of drug transfer into human milk from theoretically derived descriptors

Agatonović-Kuštrin, Snežana; Tucker, I.G; Zečević, Mira; Živanović, LJ

(Elsevier Science BV, Amsterdam, 2000)

TY  - JOUR
AU  - Agatonović-Kuštrin, Snežana
AU  - Tucker, I.G
AU  - Zečević, Mira
AU  - Živanović, LJ
PY  - 2000
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/232
AB  - The goal of this study was to develop a genetic neural network (GNN) model to predict the degree of drug transfer into breast milk, depending on the molecular structure descriptors, and to compare it with the current model. A supervised network with back-propagation learning rule and multilayer perceptron (MLP) architecture was used to correlate activity with descriptors that were preselected by a genetic algorithm. The set of 60 drug compounds and their experimentally derived MIP values used in this study were gathered from Literature. A total of 61 calculated structural features including constitutional, topological, chemical, geometrical and quantum chemical descriptors were generated for each of the 60 compounds. The MIP Values were used as the ANNs output and calculated molecular descriptors as the inputs. The best GNN model with 26 input descriptors is presented, and the chemical significance of the chosen descriptors is discussed. Strong correlation of predicted versus experimentally derived M/P values (R-2>0.96) for the best ANN model (26-5-5-1) confirms that there is a link between structure and MIP values. The strength of the link is measured by the quality of the external prediction set. With the RMS error of 0.425 and a good visual plot, the external prediction set ensures the quality of the model. Unlike previously reported models, the GNN model described here does not require experimental parameters and could potentially provide useful prediction of M/P ratio of new potential drugs and reduce the need for actual compound synthesis and experimental M/P ratio determination.
PB  - Elsevier Science BV, Amsterdam
T2  - Analytica Chimica Acta
T1  - Prediction of drug transfer into human milk from theoretically derived descriptors
VL  - 418
IS  - 2
SP  - 181
EP  - 195
UR  - https://hdl.handle.net/21.15107/rcub_farfar_232
ER  - 
@article{
author = "Agatonović-Kuštrin, Snežana and Tucker, I.G and Zečević, Mira and Živanović, LJ",
year = "2000",
abstract = "The goal of this study was to develop a genetic neural network (GNN) model to predict the degree of drug transfer into breast milk, depending on the molecular structure descriptors, and to compare it with the current model. A supervised network with back-propagation learning rule and multilayer perceptron (MLP) architecture was used to correlate activity with descriptors that were preselected by a genetic algorithm. The set of 60 drug compounds and their experimentally derived MIP values used in this study were gathered from Literature. A total of 61 calculated structural features including constitutional, topological, chemical, geometrical and quantum chemical descriptors were generated for each of the 60 compounds. The MIP Values were used as the ANNs output and calculated molecular descriptors as the inputs. The best GNN model with 26 input descriptors is presented, and the chemical significance of the chosen descriptors is discussed. Strong correlation of predicted versus experimentally derived M/P values (R-2>0.96) for the best ANN model (26-5-5-1) confirms that there is a link between structure and MIP values. The strength of the link is measured by the quality of the external prediction set. With the RMS error of 0.425 and a good visual plot, the external prediction set ensures the quality of the model. Unlike previously reported models, the GNN model described here does not require experimental parameters and could potentially provide useful prediction of M/P ratio of new potential drugs and reduce the need for actual compound synthesis and experimental M/P ratio determination.",
publisher = "Elsevier Science BV, Amsterdam",
journal = "Analytica Chimica Acta",
title = "Prediction of drug transfer into human milk from theoretically derived descriptors",
volume = "418",
number = "2",
pages = "181-195",
url = "https://hdl.handle.net/21.15107/rcub_farfar_232"
}
Agatonović-Kuštrin, S., Tucker, I.G, Zečević, M.,& Živanović, L.. (2000). Prediction of drug transfer into human milk from theoretically derived descriptors. in Analytica Chimica Acta
Elsevier Science BV, Amsterdam., 418(2), 181-195.
https://hdl.handle.net/21.15107/rcub_farfar_232
Agatonović-Kuštrin S, Tucker I, Zečević M, Živanović L. Prediction of drug transfer into human milk from theoretically derived descriptors. in Analytica Chimica Acta. 2000;418(2):181-195.
https://hdl.handle.net/21.15107/rcub_farfar_232 .
Agatonović-Kuštrin, Snežana, Tucker, I.G, Zečević, Mira, Živanović, LJ, "Prediction of drug transfer into human milk from theoretically derived descriptors" in Analytica Chimica Acta, 418, no. 2 (2000):181-195,
https://hdl.handle.net/21.15107/rcub_farfar_232 .
44
53

Structure-retention relationships of diuretics in reversed-phase liquid chromatography

Agatonović-Kuštrin, Snežana; Zečević, Mira; Živanović, Ljiljana; Tucker, I.G

(John Wiley and Sons Ltd, 2000)

TY  - JOUR
AU  - Agatonović-Kuštrin, Snežana
AU  - Zečević, Mira
AU  - Živanović, Ljiljana
AU  - Tucker, I.G
PY  - 2000
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/279
PB  - John Wiley and Sons Ltd
T2  - Biomedical Chromatography
T1  - Structure-retention relationships of diuretics in reversed-phase liquid chromatography
VL  - 14
IS  - 1
SP  - 41
EP  - 43
DO  - 10.1002/(SICI)1099-0801(200002)14:1 41::AID-BMC964>3.0.CO;2-9
ER  - 
@article{
author = "Agatonović-Kuštrin, Snežana and Zečević, Mira and Živanović, Ljiljana and Tucker, I.G",
year = "2000",
publisher = "John Wiley and Sons Ltd",
journal = "Biomedical Chromatography",
title = "Structure-retention relationships of diuretics in reversed-phase liquid chromatography",
volume = "14",
number = "1",
pages = "41-43",
doi = "10.1002/(SICI)1099-0801(200002)14:1 41::AID-BMC964>3.0.CO;2-9"
}
Agatonović-Kuštrin, S., Zečević, M., Živanović, L.,& Tucker, I.G. (2000). Structure-retention relationships of diuretics in reversed-phase liquid chromatography. in Biomedical Chromatography
John Wiley and Sons Ltd., 14(1), 41-43.
https://doi.org/10.1002/(SICI)1099-0801(200002)14:1 41::AID-BMC964>3.0.CO;2-9
Agatonović-Kuštrin S, Zečević M, Živanović L, Tucker I. Structure-retention relationships of diuretics in reversed-phase liquid chromatography. in Biomedical Chromatography. 2000;14(1):41-43.
doi:10.1002/(SICI)1099-0801(200002)14:1 41::AID-BMC964>3.0.CO;2-9 .
Agatonović-Kuštrin, Snežana, Zečević, Mira, Živanović, Ljiljana, Tucker, I.G, "Structure-retention relationships of diuretics in reversed-phase liquid chromatography" in Biomedical Chromatography, 14, no. 1 (2000):41-43,
https://doi.org/10.1002/(SICI)1099-0801(200002)14:1 41::AID-BMC964>3.0.CO;2-9 . .

Use of ANN modelling in structure-retention relationships of diuretics in RP-HPLC

Agatonović-Kuštrin, Snežana; Zečević, Mira; Živanović, L

(Pergamon-Elsevier Science Ltd, Oxford, 1999)

TY  - JOUR
AU  - Agatonović-Kuštrin, Snežana
AU  - Zečević, Mira
AU  - Živanović, L
PY  - 1999
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/228
AB  - Structure-retention relationship study, conducted by RP-HPLC, was used to investigate physical chemical parameters related to the RP retention times of amiloride, hydrochlorothiazide and methyldopa in order to predict the separation of amiloride and methylclothiazide from Lometazid(R) tablets. Retention data were obtained with an ODS column using a mobile phase methanol-water (pH adjusted with phosphoric acid). Physical chemical properties were calculated directly from the molecular structure. Artificial neural networks (ANNs) were used to correlate chromatograms retention times with mobile phase composition and pH, and with physical chemical properties of amiloride, hydrochlorothiazide and methyldopa and to predict separation of amiloride and methylclothiazide from Lometazid(R) tablets. Sensitivity analysis was performed to interpret the meaning of the descriptors included in the models. Results confirmed the dominant role of the polar modifier in such chromatographic systems. Within a series of solutes chromatographed under identical conditions, the retention parameters could be approximated by a non-linear combination of log P, log D, pK(a), surface tension, parachor, molar volume and to minor extend by polarisability, rexractivity index and density. This study has demonstrated that the use ANNs techniques can result in much more efficient use of experimental information. As HPLC is the most popular analytical technique, improvements in HPLC methods development can yield significant gains in the overall analytical effort. The ANNs extension presented could be the method of choice in some advanced research settings and serves as an indication of the broad potential of neural networks in chromatography analysis.
PB  - Pergamon-Elsevier Science Ltd, Oxford
T2  - Journal of Pharmaceutical and Biomedical Analysis
T1  - Use of ANN modelling in structure-retention relationships of diuretics in RP-HPLC
VL  - 21
IS  - 1
SP  - 95
EP  - 103
DO  - 10.1016/S0731-7085(99)00133-8
ER  - 
@article{
author = "Agatonović-Kuštrin, Snežana and Zečević, Mira and Živanović, L",
year = "1999",
abstract = "Structure-retention relationship study, conducted by RP-HPLC, was used to investigate physical chemical parameters related to the RP retention times of amiloride, hydrochlorothiazide and methyldopa in order to predict the separation of amiloride and methylclothiazide from Lometazid(R) tablets. Retention data were obtained with an ODS column using a mobile phase methanol-water (pH adjusted with phosphoric acid). Physical chemical properties were calculated directly from the molecular structure. Artificial neural networks (ANNs) were used to correlate chromatograms retention times with mobile phase composition and pH, and with physical chemical properties of amiloride, hydrochlorothiazide and methyldopa and to predict separation of amiloride and methylclothiazide from Lometazid(R) tablets. Sensitivity analysis was performed to interpret the meaning of the descriptors included in the models. Results confirmed the dominant role of the polar modifier in such chromatographic systems. Within a series of solutes chromatographed under identical conditions, the retention parameters could be approximated by a non-linear combination of log P, log D, pK(a), surface tension, parachor, molar volume and to minor extend by polarisability, rexractivity index and density. This study has demonstrated that the use ANNs techniques can result in much more efficient use of experimental information. As HPLC is the most popular analytical technique, improvements in HPLC methods development can yield significant gains in the overall analytical effort. The ANNs extension presented could be the method of choice in some advanced research settings and serves as an indication of the broad potential of neural networks in chromatography analysis.",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "Journal of Pharmaceutical and Biomedical Analysis",
title = "Use of ANN modelling in structure-retention relationships of diuretics in RP-HPLC",
volume = "21",
number = "1",
pages = "95-103",
doi = "10.1016/S0731-7085(99)00133-8"
}
Agatonović-Kuštrin, S., Zečević, M.,& Živanović, L.. (1999). Use of ANN modelling in structure-retention relationships of diuretics in RP-HPLC. in Journal of Pharmaceutical and Biomedical Analysis
Pergamon-Elsevier Science Ltd, Oxford., 21(1), 95-103.
https://doi.org/10.1016/S0731-7085(99)00133-8
Agatonović-Kuštrin S, Zečević M, Živanović L. Use of ANN modelling in structure-retention relationships of diuretics in RP-HPLC. in Journal of Pharmaceutical and Biomedical Analysis. 1999;21(1):95-103.
doi:10.1016/S0731-7085(99)00133-8 .
Agatonović-Kuštrin, Snežana, Zečević, Mira, Živanović, L, "Use of ANN modelling in structure-retention relationships of diuretics in RP-HPLC" in Journal of Pharmaceutical and Biomedical Analysis, 21, no. 1 (1999):95-103,
https://doi.org/10.1016/S0731-7085(99)00133-8 . .
23
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31

Application of artificial neural networks in HPLC method development

Agatonović-Kuštrin, Snežana; Zečević, Mira; Živanović, L; Tucker, I.G

(Pergamon-Elsevier Science Ltd, Oxford, 1998)

TY  - JOUR
AU  - Agatonović-Kuštrin, Snežana
AU  - Zečević, Mira
AU  - Živanović, L
AU  - Tucker, I.G
PY  - 1998
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/187
AB  - The use of artificial neural networks (ANNs) for response surface modelling in HPLC method development for amiloride and methychlothiazide separation is reported. The independent input variables were pH and methanol percentage in mobile phase. The outputs were capacity factors. The results were compared with a statistical method (multiple nonlinear regression analysis). Networks were able to predict the experimental responses more accurately than the regression analysis.
PB  - Pergamon-Elsevier Science Ltd, Oxford
T2  - Journal of Pharmaceutical and Biomedical Analysis
T1  - Application of artificial neural networks in HPLC method development
VL  - 17
IS  - 1
SP  - 69
EP  - 76
DO  - 10.1016/S0731-7085(97)00170-2
ER  - 
@article{
author = "Agatonović-Kuštrin, Snežana and Zečević, Mira and Živanović, L and Tucker, I.G",
year = "1998",
abstract = "The use of artificial neural networks (ANNs) for response surface modelling in HPLC method development for amiloride and methychlothiazide separation is reported. The independent input variables were pH and methanol percentage in mobile phase. The outputs were capacity factors. The results were compared with a statistical method (multiple nonlinear regression analysis). Networks were able to predict the experimental responses more accurately than the regression analysis.",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "Journal of Pharmaceutical and Biomedical Analysis",
title = "Application of artificial neural networks in HPLC method development",
volume = "17",
number = "1",
pages = "69-76",
doi = "10.1016/S0731-7085(97)00170-2"
}
Agatonović-Kuštrin, S., Zečević, M., Živanović, L.,& Tucker, I.G. (1998). Application of artificial neural networks in HPLC method development. in Journal of Pharmaceutical and Biomedical Analysis
Pergamon-Elsevier Science Ltd, Oxford., 17(1), 69-76.
https://doi.org/10.1016/S0731-7085(97)00170-2
Agatonović-Kuštrin S, Zečević M, Živanović L, Tucker I. Application of artificial neural networks in HPLC method development. in Journal of Pharmaceutical and Biomedical Analysis. 1998;17(1):69-76.
doi:10.1016/S0731-7085(97)00170-2 .
Agatonović-Kuštrin, Snežana, Zečević, Mira, Živanović, L, Tucker, I.G, "Application of artificial neural networks in HPLC method development" in Journal of Pharmaceutical and Biomedical Analysis, 17, no. 1 (1998):69-76,
https://doi.org/10.1016/S0731-7085(97)00170-2 . .
35
25
38

Application of neural networks for response surface modeling in HPLC optimization

Agatonović-Kuštrin, Snežana; Zečević, Mira; Živanović, L; Tucker, I.G

(Elsevier Science BV, Amsterdam, 1998)

TY  - JOUR
AU  - Agatonović-Kuštrin, Snežana
AU  - Zečević, Mira
AU  - Živanović, L
AU  - Tucker, I.G
PY  - 1998
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/183
AB  - The usefulness of artificial neural networks for response surface modeling in HPLC optimization is compared with multiple regression methods. The results show that neural networks offer promising possibilities in HPLC method development. The predicted capacity factors of analytes were better to those obtained with multiple regression method.
PB  - Elsevier Science BV, Amsterdam
T2  - Analytica Chimica Acta
T1  - Application of neural networks for response surface modeling in HPLC optimization
VL  - 364
IS  - 1-3
SP  - 265
EP  - 273
DO  - 10.1016/S0003-2670(98)00121-4
ER  - 
@article{
author = "Agatonović-Kuštrin, Snežana and Zečević, Mira and Živanović, L and Tucker, I.G",
year = "1998",
abstract = "The usefulness of artificial neural networks for response surface modeling in HPLC optimization is compared with multiple regression methods. The results show that neural networks offer promising possibilities in HPLC method development. The predicted capacity factors of analytes were better to those obtained with multiple regression method.",
publisher = "Elsevier Science BV, Amsterdam",
journal = "Analytica Chimica Acta",
title = "Application of neural networks for response surface modeling in HPLC optimization",
volume = "364",
number = "1-3",
pages = "265-273",
doi = "10.1016/S0003-2670(98)00121-4"
}
Agatonović-Kuštrin, S., Zečević, M., Živanović, L.,& Tucker, I.G. (1998). Application of neural networks for response surface modeling in HPLC optimization. in Analytica Chimica Acta
Elsevier Science BV, Amsterdam., 364(1-3), 265-273.
https://doi.org/10.1016/S0003-2670(98)00121-4
Agatonović-Kuštrin S, Zečević M, Živanović L, Tucker I. Application of neural networks for response surface modeling in HPLC optimization. in Analytica Chimica Acta. 1998;364(1-3):265-273.
doi:10.1016/S0003-2670(98)00121-4 .
Agatonović-Kuštrin, Snežana, Zečević, Mira, Živanović, L, Tucker, I.G, "Application of neural networks for response surface modeling in HPLC optimization" in Analytica Chimica Acta, 364, no. 1-3 (1998):265-273,
https://doi.org/10.1016/S0003-2670(98)00121-4 . .
57
59
71

Spectrophotometric study of diclofenac-Fe(III) complex

Agatonović-Kuštrin, Snežana; Živanović, L; Zečević, Mira; Radulović, D

(Pergamon-Elsevier Science Ltd, Oxford, 1997)

TY  - JOUR
AU  - Agatonović-Kuštrin, Snežana
AU  - Živanović, L
AU  - Zečević, Mira
AU  - Radulović, D
PY  - 1997
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/154
AB  - A multifactor optimisation technique is successfully applied to develop a new spectrophotometric method in which diclofenac sodium is analysed and determined as it's Fe(III) complex. The effect of simultaneously varying the pH, ionic strength and concentration of colour reagents in the reaction mixture were studied. A four-variable two-level factorial design was used to investigate the significance of each variable and interactions between them. A response surface design was used to optimise complex formation and extraction. It was established that diclofenac reacts with Fe(III) chloride, in the presence of ammonium thiocyanate, in the pH range 4.2-6.5, forming a red chloroform extractable (2:1) complex with maximum absorbance at 481 nm. By applying the methods of Sommer and Job involving non-equimolar solutions the conditional stability constant of the complex, at the optimum pH of 6.0 and an ionic strength mu = 0.19M, was found to be 10(6.4). Good agreement with Beer's law was found for diclofenac concentrations up to mmol l(-1). The nominal percent recovery of diclofenac was 98.8% (n = 10). The lower limit of sensitivity of the method was found to be 14.7 mu g ml(-1).
PB  - Pergamon-Elsevier Science Ltd, Oxford
T2  - Journal of Pharmaceutical and Biomedical Analysis
T1  - Spectrophotometric study of diclofenac-Fe(III) complex
VL  - 16
IS  - 1
SP  - 147
EP  - 153
DO  - 10.1016/S0731-7085(97)00016-2
ER  - 
@article{
author = "Agatonović-Kuštrin, Snežana and Živanović, L and Zečević, Mira and Radulović, D",
year = "1997",
abstract = "A multifactor optimisation technique is successfully applied to develop a new spectrophotometric method in which diclofenac sodium is analysed and determined as it's Fe(III) complex. The effect of simultaneously varying the pH, ionic strength and concentration of colour reagents in the reaction mixture were studied. A four-variable two-level factorial design was used to investigate the significance of each variable and interactions between them. A response surface design was used to optimise complex formation and extraction. It was established that diclofenac reacts with Fe(III) chloride, in the presence of ammonium thiocyanate, in the pH range 4.2-6.5, forming a red chloroform extractable (2:1) complex with maximum absorbance at 481 nm. By applying the methods of Sommer and Job involving non-equimolar solutions the conditional stability constant of the complex, at the optimum pH of 6.0 and an ionic strength mu = 0.19M, was found to be 10(6.4). Good agreement with Beer's law was found for diclofenac concentrations up to mmol l(-1). The nominal percent recovery of diclofenac was 98.8% (n = 10). The lower limit of sensitivity of the method was found to be 14.7 mu g ml(-1).",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "Journal of Pharmaceutical and Biomedical Analysis",
title = "Spectrophotometric study of diclofenac-Fe(III) complex",
volume = "16",
number = "1",
pages = "147-153",
doi = "10.1016/S0731-7085(97)00016-2"
}
Agatonović-Kuštrin, S., Živanović, L., Zečević, M.,& Radulović, D.. (1997). Spectrophotometric study of diclofenac-Fe(III) complex. in Journal of Pharmaceutical and Biomedical Analysis
Pergamon-Elsevier Science Ltd, Oxford., 16(1), 147-153.
https://doi.org/10.1016/S0731-7085(97)00016-2
Agatonović-Kuštrin S, Živanović L, Zečević M, Radulović D. Spectrophotometric study of diclofenac-Fe(III) complex. in Journal of Pharmaceutical and Biomedical Analysis. 1997;16(1):147-153.
doi:10.1016/S0731-7085(97)00016-2 .
Agatonović-Kuštrin, Snežana, Živanović, L, Zečević, Mira, Radulović, D, "Spectrophotometric study of diclofenac-Fe(III) complex" in Journal of Pharmaceutical and Biomedical Analysis, 16, no. 1 (1997):147-153,
https://doi.org/10.1016/S0731-7085(97)00016-2 . .
31
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