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Ovrednotenje metode pretočne celice za spremljanje sproščanja težko topne učinkovine iz farmacevtske oblike s takojšnjim sproščanjem
ID Maček, Katja (Author), ID Bogataj, Marija (Mentor) More about this mentor... This link opens in a new window, ID Petek, Boštjan (Comentor)

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Abstract
Testiranje sproščanja se uporablja pri razvoju novih zdravil, za napovedovanje in vivo obnašanja farmacevtskih oblik in učinkovin ter v kontroli kakovosti. Namen našega dela je bilo ovrednotenje metode pretočne celice, Aparature 4 (Ph Eur in USP), za spremljanje sproščanja težko topne učinkovine iz farmacevtske oblike s takojšnjim sproščanjem, z uporabo statističnega pristopa pri načrtovanju eksperimentov, za kar smo uporabili program MODDE. Spreminjali smo različne faktorje in interakcije med njimi: dve tableti z različno vsebnostjo pomožnih snovi (T1 in T2), štiri različne medije za sproščanje (vodo, kalijev fosfatni pufer pH 6,8, acetatni pufer pH 4,5 in simuliran želodčni sok pH 1,2), nastavljeni pretoki skozi celice so bili 4, 8 in 16 mL/min, uporabili smo dve različni celici: manjšo s premerom 12 mm in večjo s premerom 22,6 mm. Za analizo smo uporabili že razvito analizno metodo (tekočinska kromatografija visoke ločljivosti). Določili smo tudi topnost modelne učinkovine v prisotnosti vseh komponent tablet. Eksperimentalni načrt je vseboval nabor najboljših 28 eksperimentov za reševanje našega problema. Poleg tega smo za primerjavo sproščanja iz T1 in T2 izvedli še štiri dodatne. Pri vseh testih smo kontrolirali ustreznost pretoka skozi celice. Rezultate smo uredili in jih vnesli v program MODDE, ta je izdelal model, ki smo ga tudi interpretirali. Sledila je uporaba modela. Naš model se je dobro prilegal odzivom (odstotkom sproščene modelne učinkovine v določenem časovnem intervalu). Model je imel skoraj v vseh časovnih intervalih odlično napovedno moč, ustrezno veljavnost ter zelo dobro ponovljivost. Pri interpretaciji modela smo ugotovili, da na odzive najbolj vplivajo mediji za testiranje sproščanja, med njimi najbolj voda. Velik vpliv imata še pretok skozi celice ter interakcija med pretokom in posameznim medijem. Model smo uporabili za izračun odzivov za vse kombinacije faktorjev. S pomočjo teh podatkov smo izračunali razmerja med odstotki sproščene učinkovine iz T1 in T2. Razmerja, izračunana iz predvidenih podatkov, smo primerjali z razmerji, izračunanimi iz eksperimentalnih podatkov. Najboljše ujemanje smo dobili za medij voda ter medij kalijev fosfatni pufer pH 6,8. Ugotovili smo tudi, da smo najbolj primerljive eksperimentalno pridobljene rezultate z in vivo podatki, dobili s testiranjem sproščanja v vodi in kalijevem fosfatnem pufru pH 6,8. Po pregledu vseh razmerij (predvideni odzivi) smo ugotovili, da se in vivo podatkom najbolj približamo z uporabo manjše celice, s premerom 12 mm ter nastavitvijo večjega pretoka pri testiranju sproščanja.

Language:Slovenian
Keywords:metoda pretočne celice, statistični pristop pri načrtovanju eksperimentov, težko topna učinkovina
Work type:Master's thesis/paper
Organization:FFA - Faculty of Pharmacy
Year:2019
PID:20.500.12556/RUL-111228 This link opens in a new window
Publication date in RUL:26.09.2019
Views:1093
Downloads:190
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Secondary language

Language:English
Title:Evaluation of flow-through cell method for monitoring release of poorly soluble drug from immediate release dosage form
Abstract:
Release testing is used in the development of new medicines, for predicting in vivo behaviour of pharmaceutical forms and active substances, and in quality control. The purpose of our work was the evaluation of the flow-through cell method, Apparatus 4 (Ph Eur and USP), to monitor the release of poorly soluble active substance from a pharmaceutical form with immediate release, using a statistical approach in experiment planning, for which the MODDE program was used. Various factors were changed, as were the interactions between them: two tablets with varying content of excipients (T1 and T2); four different dissolution media (water, potassium phosphate buffer pH 6.8, acetate buffer pH 4.5, and simulated gastric fluid pH 1.2); the flow through the cells was set to 4, 8 and 16 mL/min; two different cells were used: a smaller one with the diameter of 12 mm and a bigger one with the diameter of 22.6 mm. For the analysis, an already developed method of analysis was used (High-performance liquid chromatography). We also specified the solubility of the model active substance in the presence of all components of the tablets. The design of the experiment included a selection of 28 best experiments for solving our problem. In addition, four more experiments were conducted to compare the release from T1 and T2. In all tests, the adequacy of the flow through the cells was monitored. The results were sorted and entered in the MODDE program. The program produced a model, which we also interpreted. This was followed by the use of the model. The model was compatible with the responses (percent of model substance released in a certain time interval). In almost every time interval, the model had an excellent predictive power, sufficient validity and very good repeatability. The interpretation showed, that the media for release testing, most notably water, affect the responses the most. The flow through the cells and the interaction between the flow and the individual media also have a great influence. The model was used to calculate the responses for all combinations of factors. Using these data, the ratios between the percent of released active substance from T1 and T2 were calculated. The ratios calculated from the predicted data were compared with the ratios calculated from the experimental data. The best match was obtained for the medium of water and the medium of potassium phosphate buffer pH 6.8. We also found that the most comparable results with in vivo data were obtained by experiments of release testing in water and potassium phosphate buffer pH 6.8 The examination of all the ratios (predicted responses) showed that the in vivo data were most closely approximated by using a smaller cell with the diameter of 12 mm and adjusting the higher flow rate for release testing.

Keywords:flow-through cell method, statistical approach in experiment planning, poorly soluble active substance

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