Optimization of the content of excipients in tablets

Authors

DOI:

https://doi.org/10.24959/nphj.25.169%20

Keywords:

quantitative factors; multi-factor space; regression analysis; optimization criterion; multicriteria optimization; tablet composition

Abstract

When developing a tablet drug technology, there is a need to find the optimal quantitative content of a number of excipients that should provide a set of required pharmacopeial characteristics. The quantitative composition of excipients affects several pharmaco-technological parameters under study, which leads to the need to solve the problem of multicriteria optimization.

Materials and methods. To determine the optimal amount of three excipients, the amount of which is fixed in the tablet, we used the method of mathematical modeling with the application of statistical analysis and a multicriteria optimization. The following software tools were used to process the experimental data and perform calculations MS Excel and Mathcad 14.

Results and discussion. A methodical approach to determining the optimal solution using statistical methods in pharma-technological research with quantitative factors is proposed in the example of establishing the optimal content of excipients with a fixed total amount in the development of tablet technology. The issues of building mathematical models that characterize the effect of the quantitative content of excipients on a number of pharma-technological parameters of tablets based on experimental data are considered. Attention is focused on the peculiarities of using static methods for processing experimental data in the case when the studied factors are correlated, which can lead to negative consequences when evaluating the results of regression analysis. A generalized optimization criterion is proposed that contains unit vectors - Y(X)=F(y1(X), y2(X), ..., yi(X)), where X=f(x1,x2,...xn) and is a multidimensional vector function. Minimization of this function leads to the determination of the coordinate of the point in the admissible decision domain that satisfies the condition of equal approximation of all individual criteria to their optimal values.

Conclusions. The optimal number of excipients with a fixed total amount in the composition of tablets was determined, which will ensure the maximum approximation of the pharmacological and technological parameters of tablets under the study conditions.

Author Biographies

O. V. Kutova, National University of Pharmacy of the Ministry of Health of Ukraine

Associate professor of the Department of Industrial Technology of Medicines and Cosmetics

R. V. Sahaidak-Nikitiuk, Institute for Advanced Training of Pharmacy Specialists of the National University of Pharmacy of the Ministry of Health of Ukraine

Doctor of Pharmacy (Dr. habil.), professor, head of the Department of Pharmaceutical Technologies, Standardization and Certification of Medicines

I. V. Kovalevska, National University of Pharmacy

Doctor of Pharmacy (Dr. habil.), professor of the Department of Industrial Technology of Medicines and Cosmetics

N. V. Demchenko, Separate structural subdivision “Housing and Communal Specialized College of O. M. Beketov Kharkiv National University of Urban Economy”

Candidate of Pharmacy (Ph.D.), associate professor, teacher

S. I. Trutaev, National University of Pharmacy of the Ministry of Health of Ukraine

Candidate of Pharmacy (Ph.D.), associate professor of the Department of Industrial Technology of Medicines and Cosmetics

References

Pertsev, ІM, Dmytriievskyi, DI, Rybachuk, VD еt al. (2010). Dopomizhni rechovyny v tekhnolohii likiv: vplyv na tekhnolohichni, spozhyvchi, ekonomichni kharakterystyky i terapevtychnu efektyvnist.; za red. IM Pertseva. Kharkiv : Zoloti storinky,600.

Hroshovyi, TA, Martseniuk, VP, Kucherenko, LI, Vronska, LV, Hureieva, SM. (2008). Matematychne planuvannia eksperymentu pry provedenni naukovykh doslidzhen v farmatsii. Ternopil: Ukrmedknyha,377.

Tryhubchak, OV, Hroshovyi, TA, Hureieva, SM. (2018). Vyvchennia vplyvu dopomizhnykh rechovyn na farmako-tekhnolohichni ta orhanoleptychni kharakterystyky shypuchykh tabletok kysloty atsetylsalitsylovoi, paratsetamolu i kysloty. Farmatsevtychnyi chasopys,4(48),19–26.

Yamuna, M, Elakkiya, A. M(2017). athematical Models in Drug Discovery, Development and Treatment of Various Diseases – A Case Study. Research J. Pharm. and Tech.,10(12),4397–4401. DOI: 10.5958/0974-360X.2017.00810.1

Khromylova, OV (2015). Rozrobka tekhnolohii i standartyzatsiia tabletok na osnovi izoniazydu z tiotryazolinom : avtoref. dys. … kand. farmats. nauk : 15.00.03 – Standartyzatsiia ta orhanizatsiia vyrobnytstva likarskykh zasobiv. Zaporizhzhia, 26.

Ruban, OA, Kolisnyk, TYe, Slipchenko, HD. (2018). Zastosuvannia metodu matematychnoho planuvannia eksperymentu pry optymizatsii skladu ta tekhnolohii matryksnykh tabletok iz sukhym ekstraktom lystia chornytsi. Farmatsevtychnyi chasopys, 2,41–47.

Hureieva, SM. (2015). Rozrobka skladu ta tekhnolohii tabletok valatsykloviru hidrokhlorydu. Farmatsevtychnyi chasopys,2,26–31.

Salukvadze, ME. (1975). Zadachy vektornoi optymyzatsyy v teoryy upravlenyia. Tbylysy: Metsnyereba,201.

Movchan, AP, Stepanets, OV. (2012). Metody statychnoi optymizatsii : navch. posib. Kyiv: NTUU «KPI», 138.

Kutova, OV, Sahaidak-Nikitiuk, RV. (2023). Metodychnyi pidkhid do bahatokryterialnoho vyboru u farmatsevtychnykh doslidzhenniakh z kilkisnymy faktoramy. Visnyk farmatsii,1(105),38–43.

Kovalevska, IV, Kutova, OV, Ruban, OA, Shapovalov, AV. (2008). Suchasni dosiahnennia farmatsevtychnoi tekhnolohii: materialy I nauk.-prakt. konf. z mizhnar. Uchastiu (20–21 lystop. 2008 g.),66.

Lapach, SN. (2016). Rehressyonni analyz. Protsessni podkhod. Matematychni mashyny i systemy,1,125–133.

Litnarovych, RM. (2011). Pobudova i doslidzhennia matematychnoi modeli za dzherelamy eksperymentalnykh danykh metodamy rehresiinoho analizu : navch. posib. Rivne, 140.

Lapach, SN, Radchenko, SH. (2012). Osnovnі problemі postroenyia rehressyonnіkh modelei. Matematychni mashyny i systemy,4,125–133.

Hunko, S. (2014). Osoblyvosti vykorystannia tablychnoho protsesora Microsoft Excel dlia statystychnoho analizu empirychnykh danykh. Naukovyi visnyk Skhidnoievropeiskoho natsionalnoho universytetu imeni Lesi Ukrainky. Ser.: Pedahohichni nauky,8,41–44.

Kundrat, AM, Kundrat, MM. (2014). Naukovo-tekhnichni obchyslennia zasobamy MathCAD ta MS Excel : navch. posib. Rivne: NUVHP, 252.

Kovalevskaia, YV, Ruban, OA, Kutovaia, OV. (2018). Yssledovanye svoistv tverdіkh dyspersyi tyoktovoi kyslotі poluchennіkh zhydkofaznіm metodom. Vestnyk farmatsyy,1(79),47–53.

Kovalevska, IV, Ruban, EA, Kutsenko, SA et al. (2017). Study of physical and chemical properties of solid dispersions of quercetin. Asian Journal of Pharmaceutics,11(4),1–5.

Kovalevska, І, Ruban, О, Kutova, О, Levachkova, U. (2021). Optimization of the composition of solid dispersion of quercetin. Current Issues in Pharmacy and Medicine Science,1(34),1–4.

Lebiediev, YeO. (2016). Matematychna statystyka : navch. posib. Kyiv: VPTs KU, 160.

Lapach, SN, Pasichnyk, MF, Chubenko, AV. (1999). Statystychni metody v farmakolohii i marketynhu farmatsevtychnoho rynku. Kyiv: ZAT – Ukrspetsmontazhproekt, 312.

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Published

2025-03-21

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