BibTex RIS Kaynak Göster

A Numerical Approach for Solving Modified Epidemiological Model for Drug Release Systems

Yıl 2013, , 56 - 64, 22.01.2014

Mustafa Gülsu , Yalçın Öztürk , Aydan Gülsu

https://doi.org/10.17100/nevbiltek.210873
Cited By: 1

Öz

The mathematical modeling of drug release systems
has a significant potential to facilitate product development and to help
understanding complex pharmaceutical dosage forms. The findings of the modeling studies can help control some
of the parameters to obtain the
desired release performance.
In this article, we have introduced a Chebyshev collocation method, which is
based on collocation method for solving initial-boundary value problem
describing the Higuchi and power law.

Anahtar Kelimeler

Drug release systems higuchi law power law collocation method.

Kaynakça

  • Higuchi T., “Rate of release of medicaments from ointment bases containing drugs in suspension” J. Pharm. Sci., 50, 874–875, 1961
  • Pillai O., Dhanikula A. B., Panchagnula R.,”Drug delivery: an odyssey of 100 years” Current Opinion in Chemical Biology 5, 439–446, 2001
  • Cartensen T., J., “Modeling and data treatment in the pharmaceutical sciences” Technomic Publishing Co. Inc., Lancaster, Basel, 1996
  • Israel G., “In Modelli Matematici nelle Scienze Biologiche” P. ed. Edizioni Quattro Venti, Urbino, 1998
  • Peppas N. A., “Analysis of Fickian and non-Fickian drug release from polymers”, Pharm. Acta Helv., 60, 110–111, 1985
  • Ritger P. L., Peppas N. A., “A simple equation for description of solute release I. Fickian and non-Fickian release from nonswellable devices in the form of slabs spheres, cylinders or discs” J. Control. Release 5, 23–36, 1987.
  • Ritger P. L., Peppas N. A., “A simple equation for description of solute release II. Fickian and anomalous release from swellable devices” J. Control. Release, 5, 37–42, 1987
  • Siepmann J., Peppas N. A., “Modeling of drug release from delivery systems based on hydroxypropyl methylcellulose” Adv. Drug Deliv. Rev., 48, 139–157, 2001.
  • Gao P., Nixon P. R., Skoug J. W., “Diffusion in HPMC gels. II. Prediction of drug release rates from hydrophilic matrix extended- release dosage forms” Pharm. Res. 12, 965–971, 1995
  • Peppas N. A., Gurny R., Doelker E., Buri P., “Modelling of drug diffusion through swellable polymeric systems” J. Membr. Sci., 7, 241–253, 1980.
  • Weibull W., “A statistical distribution of wide applicability” J. Appl. Mechan. 18, 293 –297, 19 Sahte P. M., Song Y. T., Shah V. P., “In-vitro dissolution profile comparison: statistics and analysis, model dependent approach” Pharm. Res. 13, 1799–1803, 1996
  • Kosmidis K., Argyrakis P., Macheras P., “A Reappraisal of drug release laws using Monte Corlo simulations: the prevalence of the Weibull function” Pharm Res. 20(7), 988-95, 2003
  • Gülsu M., Öztürk Y., Sezer M., “A new collocation method for solution of mixed linear integrodifferential-difference equations” Appl. Math. Comp., 216, 2183-2198, 2010
  • Gülsu M., Öztürk Y., Sezer M., “Numerical approach for solving Volterra integro differential equations with piecewise intervals” J. Avdan. Research Appl. Math. 4(1), 23-37, 2012
  • Gülsu M., Öztürk Y., Sezer M., “Approximate solution of the singular-perturbation problem on Chebyshev-Gauss grid” J. Avdan. Research Diff. Equa. 3(1), 1-13, 2012
  • Öztürk Y., Gülsu M., “Approximate solution of linear generalized pantograph equations with variable coefficients on Chebyshev-Gauss grid” J. Avdan. Research Scie. Comp. 4(1), 36-51, 2012
  • Gülsu M., Öztürk Y., Sezer M., “On the solution of the Abel equation of the second kind by the shifted Chebyshev polynomials” Appl. Math. Comp. 217, 4827-4833, 2011
  • Body J., P., “Chebyshev and fourier spectral methods” University of Michigan, New York, 2000 Mason J., M., Handscomb D., S., “Chebyshev polynomials” Chapman and Hall/CRC, New York, 2003

İlaç Salım Sistemleri için Modifiye Epidemiyolojik Modelin Sayısal Çözümü

Yıl 2013, , 56 - 64, 22.01.2014

Mustafa Gülsu , Yalçın Öztürk , Aydan Gülsu

https://doi.org/10.17100/nevbiltek.210873
Cited By: 1

Öz

İlaç salım sistemlerinin matematiksel modellemesi
ürün geliştirme ve karmaşık farmasötik
dozaj formları anlama kolaylığı
sağlamada önemli bir potansiyele sahiptir. Modelleme
çalışmaları bulguları, bazı parametrelerin kontrolü, istenilen salım
performanslarının elde edilmesine yardımcı olmaktadır. Bu makalede Chebyshev
sıralama metodu ile taşıyıcı sistemlerden ilaç salım modeli Higuchi ve güç
modeli için nümerik sonuçlar verilmiştir.

Anahtar Kelimeler

İlaç salım sistemleri higuchi modeli güç modeli sıralama metodu

Kaynakça

  • Higuchi T., “Rate of release of medicaments from ointment bases containing drugs in suspension” J. Pharm. Sci., 50, 874–875, 1961
  • Pillai O., Dhanikula A. B., Panchagnula R.,”Drug delivery: an odyssey of 100 years” Current Opinion in Chemical Biology 5, 439–446, 2001
  • Cartensen T., J., “Modeling and data treatment in the pharmaceutical sciences” Technomic Publishing Co. Inc., Lancaster, Basel, 1996
  • Israel G., “In Modelli Matematici nelle Scienze Biologiche” P. ed. Edizioni Quattro Venti, Urbino, 1998
  • Peppas N. A., “Analysis of Fickian and non-Fickian drug release from polymers”, Pharm. Acta Helv., 60, 110–111, 1985
  • Ritger P. L., Peppas N. A., “A simple equation for description of solute release I. Fickian and non-Fickian release from nonswellable devices in the form of slabs spheres, cylinders or discs” J. Control. Release 5, 23–36, 1987.
  • Ritger P. L., Peppas N. A., “A simple equation for description of solute release II. Fickian and anomalous release from swellable devices” J. Control. Release, 5, 37–42, 1987
  • Siepmann J., Peppas N. A., “Modeling of drug release from delivery systems based on hydroxypropyl methylcellulose” Adv. Drug Deliv. Rev., 48, 139–157, 2001.
  • Gao P., Nixon P. R., Skoug J. W., “Diffusion in HPMC gels. II. Prediction of drug release rates from hydrophilic matrix extended- release dosage forms” Pharm. Res. 12, 965–971, 1995
  • Peppas N. A., Gurny R., Doelker E., Buri P., “Modelling of drug diffusion through swellable polymeric systems” J. Membr. Sci., 7, 241–253, 1980.
  • Weibull W., “A statistical distribution of wide applicability” J. Appl. Mechan. 18, 293 –297, 19 Sahte P. M., Song Y. T., Shah V. P., “In-vitro dissolution profile comparison: statistics and analysis, model dependent approach” Pharm. Res. 13, 1799–1803, 1996
  • Kosmidis K., Argyrakis P., Macheras P., “A Reappraisal of drug release laws using Monte Corlo simulations: the prevalence of the Weibull function” Pharm Res. 20(7), 988-95, 2003
  • Gülsu M., Öztürk Y., Sezer M., “A new collocation method for solution of mixed linear integrodifferential-difference equations” Appl. Math. Comp., 216, 2183-2198, 2010
  • Gülsu M., Öztürk Y., Sezer M., “Numerical approach for solving Volterra integro differential equations with piecewise intervals” J. Avdan. Research Appl. Math. 4(1), 23-37, 2012
  • Gülsu M., Öztürk Y., Sezer M., “Approximate solution of the singular-perturbation problem on Chebyshev-Gauss grid” J. Avdan. Research Diff. Equa. 3(1), 1-13, 2012
  • Öztürk Y., Gülsu M., “Approximate solution of linear generalized pantograph equations with variable coefficients on Chebyshev-Gauss grid” J. Avdan. Research Scie. Comp. 4(1), 36-51, 2012
  • Gülsu M., Öztürk Y., Sezer M., “On the solution of the Abel equation of the second kind by the shifted Chebyshev polynomials” Appl. Math. Comp. 217, 4827-4833, 2011
  • Body J., P., “Chebyshev and fourier spectral methods” University of Michigan, New York, 2000 Mason J., M., Handscomb D., S., “Chebyshev polynomials” Chapman and Hall/CRC, New York, 2003
Toplam 18 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Matematik
Yazarlar

Mustafa Gülsu

Yalçın Öztürk

Aydan Gülsu

Yayımlanma Tarihi 22 Ocak 2014
Yayımlandığı Sayı Yıl 2013

Kaynak Göster

APA Gülsu, M., Öztürk, Y., & Gülsu, A. (2014). A Numerical Approach for Solving Modified Epidemiological Model for Drug Release Systems. Nevşehir Bilim Ve Teknoloji Dergisi, 2(2), 56-64. https://doi.org/10.17100/nevbiltek.210873
AMA Gülsu M, Öztürk Y, Gülsu A. A Numerical Approach for Solving Modified Epidemiological Model for Drug Release Systems. Nevşehir Bilim ve Teknoloji Dergisi. Ocak 2014;2(2):56-64. doi:10.17100/nevbiltek.210873
Chicago Gülsu, Mustafa, Yalçın Öztürk, ve Aydan Gülsu. “A Numerical Approach for Solving Modified Epidemiological Model for Drug Release Systems”. Nevşehir Bilim Ve Teknoloji Dergisi 2, sy. 2 (Ocak 2014): 56-64. https://doi.org/10.17100/nevbiltek.210873.
EndNote Gülsu M, Öztürk Y, Gülsu A (01 Ocak 2014) A Numerical Approach for Solving Modified Epidemiological Model for Drug Release Systems. Nevşehir Bilim ve Teknoloji Dergisi 2 2 56–64.
IEEE M. Gülsu, Y. Öztürk, ve A. Gülsu, “A Numerical Approach for Solving Modified Epidemiological Model for Drug Release Systems”, Nevşehir Bilim ve Teknoloji Dergisi, c. 2, sy. 2, ss. 56–64, 2014, doi: 10.17100/nevbiltek.210873.
ISNAD Gülsu, Mustafa vd. “A Numerical Approach for Solving Modified Epidemiological Model for Drug Release Systems”. Nevşehir Bilim ve Teknoloji Dergisi 2/2 (Ocak 2014), 56-64. https://doi.org/10.17100/nevbiltek.210873.
JAMA Gülsu M, Öztürk Y, Gülsu A. A Numerical Approach for Solving Modified Epidemiological Model for Drug Release Systems. Nevşehir Bilim ve Teknoloji Dergisi. 2014;2:56–64.
MLA Gülsu, Mustafa vd. “A Numerical Approach for Solving Modified Epidemiological Model for Drug Release Systems”. Nevşehir Bilim Ve Teknoloji Dergisi, c. 2, sy. 2, 2014, ss. 56-64, doi:10.17100/nevbiltek.210873.
Vancouver Gülsu M, Öztürk Y, Gülsu A. A Numerical Approach for Solving Modified Epidemiological Model for Drug Release Systems. Nevşehir Bilim ve Teknoloji Dergisi. 2014;2(2):56-64.

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A numerical scheme for continuous population models for single and interacting species
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https://doi.org/10.25092/baunfbed.320025

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