scholarly journals How Does Fluid Flow Influence Drug Release from Drug Filled Implants?

2022 ◽  
Author(s):  
David King ◽  
Christopher McCormick ◽  
Sean McGinty
Keyword(s):  
Fluid Flow ◽  
Drug Release ◽  
Diffusion Model ◽  
Drug Carrier ◽  
Release Profile ◽  
Experimental Protocol ◽  
Drug Release Profile ◽  
Advection Diffusion ◽  
Healing Tissue

AbstractDrug-filled implants (DFIs) have emerged as an innovative approach to control the delivery of drugs. These devices contain the drug within the structure of the implant itself and avoid the need to include additional drug carrier materials such as a polymers, which are often associated with inflammation and delayed healing/tissue regeneration at the implant site. One common feature of in vitro experiments to generate drug release profiles is stirring or agitation of the release medium. However, the influence of the resulting fluid flow on the rate of drug release from DFIs has yet to be quantified. In this paper we consider two DFIs, which although similar in shape and size, employ different strategies to control the release of drug: a porous pin with pores on the order of μm and a pin drilled with orifices of the order of mm. We develop a multiphysics mathematical model of drug release from these DFIs, subject to fluid flow induced through stirring and show that fluid flow greatly influences the drug release profile for the orifice pin, but that the porous pin drug release profile is relatively insensitive to flow. We demonstrate that drug release from the porous pin may adequately be described through a simplified radial 1D dissolution-diffusion model, while a 3D dissolution-advection-diffusion model is required to describe drug release from the orifice pin. A sensitivity analysis reveals that that the balance of reaction-advection-diffusion in terms of key nondimensional numbers governs the overall drug release. Our findings potentially have important implications in terms of devising the most relevant experimental protocol for quantifying drug release from DFIs.

DEVELOPMENT AND CHARACTERIZATION OF MUCOADHESIVE PATCHES OF NICERGOLINE FOR BUCCAL DRUG DELIVERY BY USING FACTORIAL DESIGN OF EXPERIMENT (DOE)

INDIAN DRUGS ◽  
2020 ◽  
Vol 57 (07) ◽  
pp. 52-57
Keyword(s):  
Drug Release ◽  
Factorial Design ◽  
Design Of Experiment ◽  
Release Profile ◽  
Drug Release Profile ◽  
In Vitro Drug Release ◽  
Drug Release Study ◽  
Drug Content ◽  
Release Study

The aim of this research was to develop mucoadhesive buccal patches of nicergoline by using Factorial Design of Experiment, in order to provide a sustained release of drug into the systemic circulation. A 33 factorial experimental design was employed for optimization and to study the effect of formulation variables on responses R1 (% swelling index), R2 (% drug content), R3 (mucoadhesion time) and R4 (mucoadhesion strength). In vitro drug release study was performed on the optimized formulations. All the prepared formulations had good mechanical strength, mucoadhesion strength, neutral surface pH and drug content up to 98.17%. In vitro drug release study revealed that F-5 formulation showed promising sustained drug release profile (98.21%) for over 8 h and could be a potential substitute for marketed conventional formulations. The developed formulation (F5) was found to be optimized with considerably good stability and extended drug release profile.

Biopolymer Encapsulation of CdTe Quantum Dot for In Vitro Controlled Drug Delivery Release of 6-Mercaptopurine

2012 ◽  
Vol 584 ◽  
pp. 258-262 ◽  
Author(s):  
Sundarrajan Parani ◽  
Baddireddi Subhadra Lakshmi ◽  
Kanniyan Pandian
Keyword(s):  
Drug Delivery ◽  
Folic Acid ◽  
Quantum Dot ◽  
Drug Carrier ◽  
Controlled Drug Delivery ◽  
Release Profile ◽  
Drug Release Profile ◽  
The Stability ◽  
Cdte Quantum Dot

Alginate biopolymer stabilized CdTe quantum dot (QD) was prepared and it was encapsulated with folic acid conjugated chitosan for controlled drug delivery of anticancer drug 6-mercaptopurine (6-MP). In addition to alginate, chitosan enhances the stability of QD. Also, in addition to chitosan, alginate binds to the drug leading to enhance the loading efficiency of the resulting drug carrier. The drug release profile of the carrier was investigated by in-vitro. The present study has shown that this drug carrier is feasible for drug delivery and will be important beneficiary for cancer therapy.

Drug release profile and reduction in the in vitro burst release from pectin/HEMA hydrogel nanocomposites crosslinked with titania

RSC Advances ◽  
2016 ◽  
Vol 6 (23) ◽  
pp. 19060-19068 ◽  
Author(s):  
Elisangela P. da Silva ◽  
Marcos R. Guilherme ◽  
Francielle P. Garcia ◽  
Celso V. Nakamura ◽  
Lucio Cardozo-Filho ◽  
...  
Keyword(s):  
Controlled Release ◽  
Drug Release ◽  
Release Profile ◽  
Burst Release ◽  
Drug Release Profile ◽  
Initial Release ◽  
Hydrogel Nanocomposites

Hydrogel nanocomposites of pectin, HEMA and titania for Vit-B12 controlled release with reduced initial release burst were prepared. A reduction of up to ca. 60% was observed.

scholarly journals Application of Mathematical Models in Drug Release Kinetics of Cyanocobalamine Fast Dissolving Sublingual Film

2021 ◽  
pp. 72-81
Author(s):  
Adil Patel ◽  
Ami Kalsariya ◽  
Srushti Patel ◽  
Chandni Patel ◽  
Shreya Patel
Keyword(s):  
Drug Release ◽  
Mathematical Models ◽  
Release Kinetics ◽  
Release Profile ◽  
Suitable Model ◽  
Order Model ◽  
Drug Release Profile ◽  
Casting Technique ◽  
Kinetics Of

The aim of present work is to determine and analyse the kinetics of drug release from the fast dissolving sublingual by employing various mathematical models. A study was done with Cyanocobalamine fast dissolving sublingual films, 1.5 mg/film by employing solvent casting technique using dehydrated banana starch and Gelatin. The in-vitro drug release profile was carried out in pH 6.8 phosphate buffer (900 mL) using USP dissolution apparatus I (Basket) at 50 rpm for 20 mins. The drug release data was obtained, quantitatively correlated and interpreted with various mathematical models viz. Zero order model, first order model, Higuchi model, Hixson-Crowell model and Korsmeyer-Peppas model and evaluated to understand the kinetics of drug release. The criterion for the most suitable model was based on the high degree of coefficient of correlation of drug release profile of Cyanocobalamine fast dissolving sublingual films.

scholarly journals Formulation and Evaluation of Colchicine Sustained release tablet by using factorial designs

2021 ◽  
Vol 11 (5-S) ◽  
pp. 100-107
Author(s):  
M. Pradeep Kumar ◽  
Goparaju Suryanarayana Murthy ◽  
Annamdasu Lakshmi Poojitha ◽  
P. Sindhuri ◽  
A Sreekanth ◽  
...  
Keyword(s):  
Drug Release ◽  
Ethyl Cellulose ◽  
Polymer Concentration ◽  
Release Profile ◽  
Drug Release Profile ◽  
In Vitro Drug Release ◽  
Similarity Factor ◽  
Time Required ◽  
Full Factorial

The study on the effect of polymer concentration on in vitro drug release profile revealed that there is a change in vitro drug release parameters (t50, t80, and MDT) with a change in polymer concentration. Fraction of HPMC K4M, HPMC K 100 M, and Ethyl Cellulose were required to be 15, 10, and 7 mg respectively for designing optimized batch F7. The release rate of Colchicine decreased proportionally with an increase in the concentration of ethyl Cellulose and HPMC K100 M. Also the high amount of HPMC K4M leads to the less initial release and sustain effect. A theoretical drug release profile was generated using pharmacokinetic parameters of Colchicine. The value of t50 and t80 of theoretical drug release profile was found to be 242 min and 529 min respectively. The similarity factor f2 was applied between the in vitro drug release profile of optimizing batches and theoretical profile, which indicate a decent similarity between all in vitro drug release profiles (f2 = 68.28 for F7). All the batches except F1shows the value of f2 value within a range. Batch F7 showed the highest f2 (f2 = 68.28) among all the batches and this similarity was also reflected in t50 (≈ 256 min) and t80 (≈ 554 min) values. A 23 full factorial design was applied to systemically optimize in vitro drug release profile. The HPMC K4M (X1), Concentration of HPMC K100 M (X2), and concentration of EC (X3) were selected as independent variables. The time required for 50% drug released (t50), the time required for 80% drug release (t80), similarity factor f2, and mean dissolution time (MDT) were selected as dependent variables. The results of full factorial design indicate that the HPMC K4M (X1), Concentration of HPMC K100 M (X2), and concentration of EC (X3) have a significant effect on in vitro drug release profile. To find out the release mechanism the in vitro release data were fitted in the Korsmeyer-Peppas equation. All Batches except F1 and F3 show Anomalous diffusion-controlled release (combined mechanism of diffusion and case II transport).  

scholarly journals Preparation and characterization of azathioprine microspheres for colon specific delivery

2019 ◽  
Vol 9 (2) ◽  
pp. 97-101
Author(s):  
Rinku Gonekar ◽  
Mohan Lal Kori
Keyword(s):  
Drug Delivery ◽  
Particle Size ◽  
Drug Release ◽  
Study Drug ◽  
Entrapment Efficiency ◽  
Release Profile ◽  
Intestinal Fluid ◽  
Drug Release Profile ◽  
Fecal Matter

The objective of the present study is to develop colon targeted drug delivery system using dextrin (polysaccharide) as a carrier for Azathioprine.  Microspheres containing azathioprine, dextrin and various excipients were prepared by solvent evaporation technique. The prepared microsphere were evaluated by different methods parameters like particle size,  drug entrapment efficiency, percentage yield, shape and surface morphology  and in vitro drug release study. Drug release profile was evaluated in simulated gastric, intestinal fluid and simulated colonic fluid. Best formulation was decided on the basis drug release profile in simulated gastric, intestinal fluid and simulated colonic fluid. In dextrin based microspheres, dextrin as a carrier was found to be suitable for targeting of Azathioprine for local action in the site of colon. Dextrin microspheres released 95-99% of azathioprine in simulated colonic fluid with 4% human fecal matter solution. The results of in-vitro studies of the azathioprine microspheres indicate that for colon targeting dextrin are suitable carriers to deliver the drug specifically in the colonic region. Dextrin based azathoprine microspheres showed no significance change in particle size and % residual upon storage at 5 ± 3ºC, 25 ± 2ºC/60 ± 5% RH (room temperature) and 40 ± 2ºC/75 ±5%RH humidity for three months. Keywords: azathioprine, microsphere, dextrin, colon specific drug delivery.

The Measurement and Mathematical Analysis of 5-Fu Release from Magnetic Polymeric Nanocapsules, following the Application of Ultrasound

2018 ◽  
Vol 18 (3) ◽  
pp. 438-449 ◽  
Author(s):  
Ziaeddin Abed ◽  
Samideh Khoei ◽  
Behafarid Ghalandari ◽  
Jaber Beik ◽  
Ali Shakeri-Zadeh ◽  
...  
Keyword(s):  
Drug Release ◽  
Mathematical Analysis ◽  
Ultrasound Irradiation ◽  
Controlled Drug Release ◽  
Release Profile ◽  
Release Mechanism ◽  
Drug Release Profile ◽  
Ultrasound Intensity ◽  
Dialysis Bag

Objective: To study the effects of ultrasound irradiation on the release profile of 5-fluorouracil (5-Fu) loaded magnetic poly lactic co-glycolic acid (PLGA) nanocapsules. Also, the controlled drug-release behaviour of the nanocapsules was mathematically investigated. Methods: The nanocapsules were synthesized, dispersed in phosphate buffered saline (PBS), transferred to a dialysis bag, and finally, irradiated by various ultrasound parameters (1 or 3MHz; 0.3-1W/cm2; 5-10 minutes). The release profile of the irradiated nanocapsules was recorded for 14 days. To find the in vitro drug release mechanism in the absence and presence of various intensities of ultrasound, the obtained data were fitted in various kinetic models for drug release. Results: The results demonstrated that the ultrasound speeded up the rate of drug release from the nanocapsules. The mathematical analysis illustrated that when the ultrasound intensity is increased, the probability of controlled release behaviour of the nanocapsules is raised. We found that drug release from the irradiated nanocapsules follows an erosion-controlled mechanism with the decrease in the velocity of diffusion. Conclusion: In conclusion, to attain a controlled drug-delivery strategy in the area of cancer therapy, the drug release profile of the nano-carriers may be well-controlled by ultrasound.

scholarly journals Release Behaviour of Single Pellets and Internal Fine 3D Structural Features Co-define the In Vitro Drug Release Profile

2014 ◽  
Vol 16 (4) ◽  
pp. 860-871 ◽  
Author(s):  
Shuo Yang ◽  
Xianzhen Yin ◽  
Caifen Wang ◽  
Haiyan Li ◽  
You He ◽  
...  
Keyword(s):  
Drug Release ◽  
Structural Features ◽  
Release Profile ◽  
Drug Release Profile ◽  
In Vitro Drug Release

scholarly journals Optimizing similarity factor of in vitro drug release profile for development of early stage formulation of drug using linear regression model

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tulsi Sagar Sheth ◽  
Falguni Acharya
Keyword(s):  
Linear Regression ◽  
Drug Release ◽  
Regression Model ◽  
Linear Regression Model ◽  
Release Profile ◽  
Drug Release Profile ◽  
In Vitro Drug Release ◽  
Similarity Factor ◽  
Release Profiles

AbstractThe objective of this article is to optimize the similarity factor within immediate release (IR) and modified release (MR) of in vitro drug release profiles. The least square method is used to minimize the difference between empirical and regression curve fitting data of in vitro IR/MR drug release profiles. An estimation of percentage drug release at intermediate timepoints has been done to improve the similarity factor $f_{2}$ f 2 using linear curve fit method. In this study linear regression model is used to analyze the similarity factor $f_{2}$ f 2 for Nitrofurantoin MR Capsules, Venlafaxine HCl MR Tablets and Lurasidone IR Tablets in order to exhibit the significance as well as similarity owing to the consideration of extra intervening timepoints. This linear regression model may help pharmaceutical industries to examine the inside comparison of IR/MR in vitro drug release profile with few modifications in timepoint selection to improve similarity factor $f_{2}$ f 2 .

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