TY  - JOUR
AU  - Homšek, Irena
AU  - Cvetković, Nebojša
AU  - Marić, Ljiljana
AU  - Spasić, Aleksandra
AU  - Ivić, Branka
AU  - Erić, Slavica
PY  - 2012
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/1812
AB  - Telmisartan acts as antagonist of angiotensin II type-1 (AT1) receptor and is indicated in the treatment of essential hypertension. In order to rationalize the pharmacokinetic characteristics, pharmacological activity, as well as the optimal method of administration of this drug, knowledge of its physico-chemical properties is needed. The assessment of the drug physico-chemical parameters on the basis of its chemical structure at different pH values, which are characteristic for physiological conditions, enables the prediction of its behaviour in the body before the drug is synthesized. Such assessment of its physico-chemical parameters during the preformulation phase is important for the development of a safe, efficient and stable dosage form. Based on the calculated pKa values, this paper is focused on the prediction of distribution of the ionized and nonionized drug species in the pH gradient of 1 to 8 and the calculation of physico-chemical parameters such as telmisartan lipophilicity (log P) and intrinsic solubility (log S0). On the basis of the calculated physicochemical parameters, the pH-dependent solubility and lipophilicity curves of this medicinal substance have been constructed. The assessment of intrinsic dissolution rate and dissolution rate of telmisartan from tablets was used to investigate the influence of medium pH values applied on the model substance behavior. The results obtained from predicting the physico-chemical properties and from experimental evaluation of the model substance intrinsic dissolution rate and telmisartan dissolution rate from tablets, indicate the importance of physico-chemical characterization of the active substance during the preformulation investigation for predicting the drug behaviour in the body (absorption, bioavailability, tissue penetration, elimination). .
AB  - Telmisartan deluje kao antagonista angiotenzinskog II tipa-1 (AT1) receptora i indikovan je u terapiji esencijalne hipertenzije. Da bi se razjasnile farmakokinetičke osobine, farmakološka aktivnost, kao i optimalni način primene ove lekovite supstance, potrebno je poznavanje njenih fizičko-hemijskih osobina. Određivanje fizičko-hemijskih parametara lekovite supstance na osnovu hemijske strukture pri različitim pH vrednostima koje su karakteristične za fiziološke uslove omogućava predviđanje njenog ponašanja u organizmu pre nego što se lekovita supstanca sintetiše. Određivanje fizičko-hemijskih parametara u toku preformulacionih ispitivanja značajno je za razvijanje bezbednog, efikasnog i stabilnog farmaceutskog oblika. U ovom radu je, na osnovu izračunatih pKa vrednosti, izvršeno predviđanje raspodele jonizovanih i nejonizivanog oblika lekovite supstance u pH gradijentu od 1 do 8 i izračunavanje fizičko-hemijskih parametara telmisartana kao što su lipofilnost (log P) i osnovna rastvorljivost (log S0). Na osnovu izračunatih fizičko-hemijskih parametara konstruisane su krive pH-zavisne rastvorljivosti i lipofilnosti ove lekovite supstance. Određivanjem osnovnih brzina rastvaranja i brzina rastvaranja telmisartana iz tableta ispitan je uticaj pH vrednosti primenjenog medijuma na ponašanje model supstance. Rezultati dobijeni predviđanjem fizičko-hemijskih osobina, kao i eksperimentalnim određivanjem osnovne brzine rastvaranja model supstance i brzine rastvaranja telmisartana iz tableta ukazuju na značaj fizičko-hemijske karakterizacije aktivne supstance tokom preformulacionih ispitivanja za predviđanje njenog ponašanja u organizmu (resorpcije, biološke raspoloživosti, penetracije u tkiva, eliminacije).
PB  - Savez farmaceutskih udruženja Srbije, Beograd
T2  - Arhiv za farmaciju
T1  - In vitro/in silico investigation of the drug substance and telmisartan tablets
T1  - In vitro/in silico ispitivanje lekovite supstance i tableta telmisartana
VL  - 62
IS  - 6
SP  - 548
EP  - 561
UR  - https://hdl.handle.net/21.15107/rcub_farfar_1812
ER  - 

@article{
author = "Homšek, Irena and Cvetković, Nebojša and Marić, Ljiljana and Spasić, Aleksandra and Ivić, Branka and Erić, Slavica",
year = "2012",
abstract = "Telmisartan acts as antagonist of angiotensin II type-1 (AT1) receptor and is indicated in the treatment of essential hypertension. In order to rationalize the pharmacokinetic characteristics, pharmacological activity, as well as the optimal method of administration of this drug, knowledge of its physico-chemical properties is needed. The assessment of the drug physico-chemical parameters on the basis of its chemical structure at different pH values, which are characteristic for physiological conditions, enables the prediction of its behaviour in the body before the drug is synthesized. Such assessment of its physico-chemical parameters during the preformulation phase is important for the development of a safe, efficient and stable dosage form. Based on the calculated pKa values, this paper is focused on the prediction of distribution of the ionized and nonionized drug species in the pH gradient of 1 to 8 and the calculation of physico-chemical parameters such as telmisartan lipophilicity (log P) and intrinsic solubility (log S0). On the basis of the calculated physicochemical parameters, the pH-dependent solubility and lipophilicity curves of this medicinal substance have been constructed. The assessment of intrinsic dissolution rate and dissolution rate of telmisartan from tablets was used to investigate the influence of medium pH values applied on the model substance behavior. The results obtained from predicting the physico-chemical properties and from experimental evaluation of the model substance intrinsic dissolution rate and telmisartan dissolution rate from tablets, indicate the importance of physico-chemical characterization of the active substance during the preformulation investigation for predicting the drug behaviour in the body (absorption, bioavailability, tissue penetration, elimination). ., Telmisartan deluje kao antagonista angiotenzinskog II tipa-1 (AT1) receptora i indikovan je u terapiji esencijalne hipertenzije. Da bi se razjasnile farmakokinetičke osobine, farmakološka aktivnost, kao i optimalni način primene ove lekovite supstance, potrebno je poznavanje njenih fizičko-hemijskih osobina. Određivanje fizičko-hemijskih parametara lekovite supstance na osnovu hemijske strukture pri različitim pH vrednostima koje su karakteristične za fiziološke uslove omogućava predviđanje njenog ponašanja u organizmu pre nego što se lekovita supstanca sintetiše. Određivanje fizičko-hemijskih parametara u toku preformulacionih ispitivanja značajno je za razvijanje bezbednog, efikasnog i stabilnog farmaceutskog oblika. U ovom radu je, na osnovu izračunatih pKa vrednosti, izvršeno predviđanje raspodele jonizovanih i nejonizivanog oblika lekovite supstance u pH gradijentu od 1 do 8 i izračunavanje fizičko-hemijskih parametara telmisartana kao što su lipofilnost (log P) i osnovna rastvorljivost (log S0). Na osnovu izračunatih fizičko-hemijskih parametara konstruisane su krive pH-zavisne rastvorljivosti i lipofilnosti ove lekovite supstance. Određivanjem osnovnih brzina rastvaranja i brzina rastvaranja telmisartana iz tableta ispitan je uticaj pH vrednosti primenjenog medijuma na ponašanje model supstance. Rezultati dobijeni predviđanjem fizičko-hemijskih osobina, kao i eksperimentalnim određivanjem osnovne brzine rastvaranja model supstance i brzine rastvaranja telmisartana iz tableta ukazuju na značaj fizičko-hemijske karakterizacije aktivne supstance tokom preformulacionih ispitivanja za predviđanje njenog ponašanja u organizmu (resorpcije, biološke raspoloživosti, penetracije u tkiva, eliminacije).",
publisher = "Savez farmaceutskih udruženja Srbije, Beograd",
journal = "Arhiv za farmaciju",
title = "In vitro/in silico investigation of the drug substance and telmisartan tablets, In vitro/in silico ispitivanje lekovite supstance i tableta telmisartana",
volume = "62",
number = "6",
pages = "548-561",
url = "https://hdl.handle.net/21.15107/rcub_farfar_1812"
}

Homšek, I., Cvetković, N., Marić, L., Spasić, A., Ivić, B.,& Erić, S.. (2012). In vitro/in silico investigation of the drug substance and telmisartan tablets. in Arhiv za farmaciju
Savez farmaceutskih udruženja Srbije, Beograd., 62(6), 548-561.
https://hdl.handle.net/21.15107/rcub_farfar_1812

Homšek I, Cvetković N, Marić L, Spasić A, Ivić B, Erić S. In vitro/in silico investigation of the drug substance and telmisartan tablets. in Arhiv za farmaciju. 2012;62(6):548-561.
https://hdl.handle.net/21.15107/rcub_farfar_1812 .

Homšek, Irena, Cvetković, Nebojša, Marić, Ljiljana, Spasić, Aleksandra, Ivić, Branka, Erić, Slavica, "In vitro/in silico investigation of the drug substance and telmisartan tablets" in Arhiv za farmaciju, 62, no. 6 (2012):548-561,
https://hdl.handle.net/21.15107/rcub_farfar_1812 .

TY  - JOUR
AU  - Ivić, Branka
AU  - Ibrić, Svetlana
AU  - Cvetković, Nebojša
AU  - Petrović, Aleksandra
AU  - Trajković, Svetlana
AU  - Đurić, Zorica
PY  - 2010
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/1401
AB  - The purpose of the study was to screen the effects of formulation factors on the in vitro release profile of diclofenac sodium from matrix tablets using design of experiment (DOE). Formulations of diclofenac sodium tablets, with Carbopol (R) 71G as matrix substance, were optimized by artificial neural network. According to Central Composite Design, 10 formulations of diclofenac sodium matrix tablets were prepared. As network inputs, concentration of Carbopol (R) 71G and the Kollidon (R) K-25 were selected. In vitro dissolution time profiles at 5 different sampling times were chosen as responses. The independent variables and the release parameters were processed by multilayer perceptrons neural network (MLP). Results of drug release studies indicate that drug release rates vary between different formulations, with a range of 1 h to more than 8 h to complete dissolution. For two tested formulations there was no difference between experimental and MLP predicted in vitro profiles. The M LP model was optimized. The root mean square value for the trained network was 0.07%, which indicated that the optimal MLP model was reached. The optimal tablet formulation predicted by MLP was with 23% of Carbopol (R) 710 and 0.8% of Kollidon (R) K-25. Calculated difference factor (f(1) 7.37) and similarity factor (f(2) 70.79) indicate that there is no difference between predicted and experimentally observed drug release profiles for the optimal formulation. The satisfactory prediction of drug release for optimal formulation by the MLP in this study has shown the applicability of this optimization method in modeling extended release tablet formulation.
PB  - Pharmaceutical Soc Japan, Tokyo
T2  - Chemical & Pharmaceutical Bulletin
T1  - Application of Design of Experiments and Multilayer Perceptrons Neural Network in the Optimization of Diclofenac Sodium Extended Release Tablets with Carbopol (R) 71G
VL  - 58
IS  - 7
SP  - 947
EP  - 949
DO  - 10.1248/cpb.58.947
UR  - https://hdl.handle.net/21.15107/rcub_farfar_1401
ER  - 

@article{
author = "Ivić, Branka and Ibrić, Svetlana and Cvetković, Nebojša and Petrović, Aleksandra and Trajković, Svetlana and Đurić, Zorica",
year = "2010",
abstract = "The purpose of the study was to screen the effects of formulation factors on the in vitro release profile of diclofenac sodium from matrix tablets using design of experiment (DOE). Formulations of diclofenac sodium tablets, with Carbopol (R) 71G as matrix substance, were optimized by artificial neural network. According to Central Composite Design, 10 formulations of diclofenac sodium matrix tablets were prepared. As network inputs, concentration of Carbopol (R) 71G and the Kollidon (R) K-25 were selected. In vitro dissolution time profiles at 5 different sampling times were chosen as responses. The independent variables and the release parameters were processed by multilayer perceptrons neural network (MLP). Results of drug release studies indicate that drug release rates vary between different formulations, with a range of 1 h to more than 8 h to complete dissolution. For two tested formulations there was no difference between experimental and MLP predicted in vitro profiles. The M LP model was optimized. The root mean square value for the trained network was 0.07%, which indicated that the optimal MLP model was reached. The optimal tablet formulation predicted by MLP was with 23% of Carbopol (R) 710 and 0.8% of Kollidon (R) K-25. Calculated difference factor (f(1) 7.37) and similarity factor (f(2) 70.79) indicate that there is no difference between predicted and experimentally observed drug release profiles for the optimal formulation. The satisfactory prediction of drug release for optimal formulation by the MLP in this study has shown the applicability of this optimization method in modeling extended release tablet formulation.",
publisher = "Pharmaceutical Soc Japan, Tokyo",
journal = "Chemical & Pharmaceutical Bulletin",
title = "Application of Design of Experiments and Multilayer Perceptrons Neural Network in the Optimization of Diclofenac Sodium Extended Release Tablets with Carbopol (R) 71G",
volume = "58",
number = "7",
pages = "947-949",
doi = "10.1248/cpb.58.947",
url = "https://hdl.handle.net/21.15107/rcub_farfar_1401"
}

Ivić, B., Ibrić, S., Cvetković, N., Petrović, A., Trajković, S.,& Đurić, Z.. (2010). Application of Design of Experiments and Multilayer Perceptrons Neural Network in the Optimization of Diclofenac Sodium Extended Release Tablets with Carbopol (R) 71G. in Chemical & Pharmaceutical Bulletin
Pharmaceutical Soc Japan, Tokyo., 58(7), 947-949.
https://doi.org/10.1248/cpb.58.947
https://hdl.handle.net/21.15107/rcub_farfar_1401

Ivić B, Ibrić S, Cvetković N, Petrović A, Trajković S, Đurić Z. Application of Design of Experiments and Multilayer Perceptrons Neural Network in the Optimization of Diclofenac Sodium Extended Release Tablets with Carbopol (R) 71G. in Chemical & Pharmaceutical Bulletin. 2010;58(7):947-949.
doi:10.1248/cpb.58.947
https://hdl.handle.net/21.15107/rcub_farfar_1401 .

Ivić, Branka, Ibrić, Svetlana, Cvetković, Nebojša, Petrović, Aleksandra, Trajković, Svetlana, Đurić, Zorica, "Application of Design of Experiments and Multilayer Perceptrons Neural Network in the Optimization of Diclofenac Sodium Extended Release Tablets with Carbopol (R) 71G" in Chemical & Pharmaceutical Bulletin, 58, no. 7 (2010):947-949,
https://doi.org/10.1248/cpb.58.947 .,
https://hdl.handle.net/21.15107/rcub_farfar_1401 .

TY  - JOUR
AU  - Ivić, Branka
AU  - Ibrić, Svetlana
AU  - Betz, Gabriele
AU  - Đurić, Zorica
PY  - 2010
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/1391
AB  - The purpose of this study was development of diclofenac sodium extended release compressed matrix pellets and optimization using Generalized Regression Neural Network (GRNN). According to Central Composite Design (CCD), ten formulations of diclofenac sodium matrix tablets were prepared. Extended release of diclofenac sodium was acomplished using Carbopol (R) 71G as matrix substance. The process of direct pelletisation and subsequently compression of the pellets into MUPS tablets was applied in order to investigate a different approach in formulation of matrix systems and to achieve more control of the process factors over the principal response - the release of the drug. The investigated factors were X(1) -the percentage of polymer Carbopol (R) 71 G and X(2)- crushing strength of the MUPS tablet. In vitro dissolution time profiles at 5 different sampling times were chosen as responses. Results of drug release studies indicate that drug release rates vary between different formulations, with a range of 1 hour to 8 hours of dissolution. The most important impact on the drug release has factor X(1) -the percentage of polymer Carbopol (R) 71 G. The purpose of the applied GRNN was to model the effects of these two causal factors on the in vitro release profile of the diclofenac sodium from compressed matrix pellets. The aim of the study was to optimize drug release in manner wich enables following in vitro release of diclofenac sodium during 8 hours in phosphate buffer: 1 h: 15-40%, 2 h: 25-60%, 4 h: 35-75%, 8 h: >70%.
PB  - Pharmaceutical Soc Korea, Seoul
T2  - Archives of Pharmacal Research
T1  - Optimization of Drug Release from Compressed Multi Unit Particle System (MUPS) Using Generalized Regression Neural Network (GRNN)
VL  - 33
IS  - 1
SP  - 103
EP  - 113
DO  - 10.1007/s12272-010-2232-8
ER  - 

@article{
author = "Ivić, Branka and Ibrić, Svetlana and Betz, Gabriele and Đurić, Zorica",
year = "2010",
abstract = "The purpose of this study was development of diclofenac sodium extended release compressed matrix pellets and optimization using Generalized Regression Neural Network (GRNN). According to Central Composite Design (CCD), ten formulations of diclofenac sodium matrix tablets were prepared. Extended release of diclofenac sodium was acomplished using Carbopol (R) 71G as matrix substance. The process of direct pelletisation and subsequently compression of the pellets into MUPS tablets was applied in order to investigate a different approach in formulation of matrix systems and to achieve more control of the process factors over the principal response - the release of the drug. The investigated factors were X(1) -the percentage of polymer Carbopol (R) 71 G and X(2)- crushing strength of the MUPS tablet. In vitro dissolution time profiles at 5 different sampling times were chosen as responses. Results of drug release studies indicate that drug release rates vary between different formulations, with a range of 1 hour to 8 hours of dissolution. The most important impact on the drug release has factor X(1) -the percentage of polymer Carbopol (R) 71 G. The purpose of the applied GRNN was to model the effects of these two causal factors on the in vitro release profile of the diclofenac sodium from compressed matrix pellets. The aim of the study was to optimize drug release in manner wich enables following in vitro release of diclofenac sodium during 8 hours in phosphate buffer: 1 h: 15-40%, 2 h: 25-60%, 4 h: 35-75%, 8 h: >70%.",
publisher = "Pharmaceutical Soc Korea, Seoul",
journal = "Archives of Pharmacal Research",
title = "Optimization of Drug Release from Compressed Multi Unit Particle System (MUPS) Using Generalized Regression Neural Network (GRNN)",
volume = "33",
number = "1",
pages = "103-113",
doi = "10.1007/s12272-010-2232-8"
}

Ivić, B., Ibrić, S., Betz, G.,& Đurić, Z.. (2010). Optimization of Drug Release from Compressed Multi Unit Particle System (MUPS) Using Generalized Regression Neural Network (GRNN). in Archives of Pharmacal Research
Pharmaceutical Soc Korea, Seoul., 33(1), 103-113.
https://doi.org/10.1007/s12272-010-2232-8

Ivić B, Ibrić S, Betz G, Đurić Z. Optimization of Drug Release from Compressed Multi Unit Particle System (MUPS) Using Generalized Regression Neural Network (GRNN). in Archives of Pharmacal Research. 2010;33(1):103-113.
doi:10.1007/s12272-010-2232-8 .

Ivić, Branka, Ibrić, Svetlana, Betz, Gabriele, Đurić, Zorica, "Optimization of Drug Release from Compressed Multi Unit Particle System (MUPS) Using Generalized Regression Neural Network (GRNN)" in Archives of Pharmacal Research, 33, no. 1 (2010):103-113,
https://doi.org/10.1007/s12272-010-2232-8 . .

TY  - JOUR
AU  - Ivić, Branka
AU  - Ibrić, Svetlana
AU  - Betz, Gabriele
AU  - Đurić, Zorica
PY  - 2009
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/1162
AB  - The purpose of the study was to screen the effects of formulation factors on the in vitro release profile of diclofenac sodium from matrix pellets compressed into multiple unit pellet system (MUPS) tablets using design of experiment (DOE). Extended release of diclofenac sodium was accomplished using Carbopol (R) 71G as matrix substance. According to Fractional Factorial Design FFD 2(3-1) four formulations of diclofenac sodium MUPS matrix tablets were prepared. The process of direct pelletization and subsequently compression of the pellets into tablets was applied in order to investigate a different approach in formulation of matrix systems and to achieve a better control of the process factors over the principal response - the release of the drug. The investigated factors were X-1-the percentage of polymer Carbopol (R) 71G, X-2-crushing strength of the tablet and X-3-different batches of the diclofenac sodium. In vitro dissolution time profiles at 6 different sampling times were chosen as responses. Results of drug release studies indicated that drug release rates vary between different formulations, with a range of 1 to 8 h to complete dissolution. The most important impact on the drug release hart factor X-1-the percentage of polymer Carbopol (R) 71G. The polymer percentage is suggested as release regulator for diclofenac sodium release from MUPS matrix tablets. All other investigated factors had no significant influence on the release profile of diclofenac sodium.
PB  - Pharmaceutical Soc Japan, Tokyo
T2  - Zdravstveno varstvo
T1  - Evaluation of Diclofenac Sodium Release from Matrix Pellets Compressed into MUPS Tablets
VL  - 129
IS  - 11
SP  - 1375
EP  - 1384
DO  - 10.1248/yakushi.129.1375
ER  - 

@article{
author = "Ivić, Branka and Ibrić, Svetlana and Betz, Gabriele and Đurić, Zorica",
year = "2009",
abstract = "The purpose of the study was to screen the effects of formulation factors on the in vitro release profile of diclofenac sodium from matrix pellets compressed into multiple unit pellet system (MUPS) tablets using design of experiment (DOE). Extended release of diclofenac sodium was accomplished using Carbopol (R) 71G as matrix substance. According to Fractional Factorial Design FFD 2(3-1) four formulations of diclofenac sodium MUPS matrix tablets were prepared. The process of direct pelletization and subsequently compression of the pellets into tablets was applied in order to investigate a different approach in formulation of matrix systems and to achieve a better control of the process factors over the principal response - the release of the drug. The investigated factors were X-1-the percentage of polymer Carbopol (R) 71G, X-2-crushing strength of the tablet and X-3-different batches of the diclofenac sodium. In vitro dissolution time profiles at 6 different sampling times were chosen as responses. Results of drug release studies indicated that drug release rates vary between different formulations, with a range of 1 to 8 h to complete dissolution. The most important impact on the drug release hart factor X-1-the percentage of polymer Carbopol (R) 71G. The polymer percentage is suggested as release regulator for diclofenac sodium release from MUPS matrix tablets. All other investigated factors had no significant influence on the release profile of diclofenac sodium.",
publisher = "Pharmaceutical Soc Japan, Tokyo",
journal = "Zdravstveno varstvo",
title = "Evaluation of Diclofenac Sodium Release from Matrix Pellets Compressed into MUPS Tablets",
volume = "129",
number = "11",
pages = "1375-1384",
doi = "10.1248/yakushi.129.1375"
}

Ivić, B., Ibrić, S., Betz, G.,& Đurić, Z.. (2009). Evaluation of Diclofenac Sodium Release from Matrix Pellets Compressed into MUPS Tablets. in Zdravstveno varstvo
Pharmaceutical Soc Japan, Tokyo., 129(11), 1375-1384.
https://doi.org/10.1248/yakushi.129.1375

Ivić B, Ibrić S, Betz G, Đurić Z. Evaluation of Diclofenac Sodium Release from Matrix Pellets Compressed into MUPS Tablets. in Zdravstveno varstvo. 2009;129(11):1375-1384.
doi:10.1248/yakushi.129.1375 .

Ivić, Branka, Ibrić, Svetlana, Betz, Gabriele, Đurić, Zorica, "Evaluation of Diclofenac Sodium Release from Matrix Pellets Compressed into MUPS Tablets" in Zdravstveno varstvo, 129, no. 11 (2009):1375-1384,
https://doi.org/10.1248/yakushi.129.1375 . .

TY  - CONF
AU  - Ivić, Branka
AU  - Cvetković, Nebojša
AU  - Ibrić, Svetlana
AU  - Petrović, Aleksandra
AU  - Trajković, Svetlana
AU  - Đurić, Zorica
PY  - 2006
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/796
PB  - Savez farmaceutskih udruženja Srbije, Beograd
C3  - Arhiv za farmaciju
T1  - The influence of different factors on diclofenac sodium release from extended release matrices
T1  - Uticaj različitih faktora na oslobađanje diklofenak natrijuma iz matriks tableta sa produženim oslobađanjem
VL  - 56
IS  - 4
SP  - 474
EP  - 475
UR  - https://hdl.handle.net/21.15107/rcub_farfar_796
ER  - 

@conference{
author = "Ivić, Branka and Cvetković, Nebojša and Ibrić, Svetlana and Petrović, Aleksandra and Trajković, Svetlana and Đurić, Zorica",
year = "2006",
publisher = "Savez farmaceutskih udruženja Srbije, Beograd",
journal = "Arhiv za farmaciju",
title = "The influence of different factors on diclofenac sodium release from extended release matrices, Uticaj različitih faktora na oslobađanje diklofenak natrijuma iz matriks tableta sa produženim oslobađanjem",
volume = "56",
number = "4",
pages = "474-475",
url = "https://hdl.handle.net/21.15107/rcub_farfar_796"
}

Ivić, B., Cvetković, N., Ibrić, S., Petrović, A., Trajković, S.,& Đurić, Z.. (2006). The influence of different factors on diclofenac sodium release from extended release matrices. in Arhiv za farmaciju
Savez farmaceutskih udruženja Srbije, Beograd., 56(4), 474-475.
https://hdl.handle.net/21.15107/rcub_farfar_796

Ivić B, Cvetković N, Ibrić S, Petrović A, Trajković S, Đurić Z. The influence of different factors on diclofenac sodium release from extended release matrices. in Arhiv za farmaciju. 2006;56(4):474-475.
https://hdl.handle.net/21.15107/rcub_farfar_796 .

Ivić, Branka, Cvetković, Nebojša, Ibrić, Svetlana, Petrović, Aleksandra, Trajković, Svetlana, Đurić, Zorica, "The influence of different factors on diclofenac sodium release from extended release matrices" in Arhiv za farmaciju, 56, no. 4 (2006):474-475,
https://hdl.handle.net/21.15107/rcub_farfar_796 .