Monte Carlo simulation methods-based models for analyzing the kinetics of drug delivery from controlled release systems

Abstract Pharmaceutical controlled-release formulations are systems developed by a set of unit operations to achieve a satisfactory combination between a drug and excipients to allow its gradual release. These devices must simultaneously meet criteria for stability, biocompatibility, safety, efficac...

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Main Authors: Saúl Jiménez-Jiménez, Salomón Cordero-Sánchez, José-Gerardo Mejía-Hernández, David Quintanar-Guerrero, Luz-María Melgoza-Contreras, Rafael Villalobos-García
Format: Article
Language:English
Published: Universidade de São Paulo 2025-01-01
Series:Brazilian Journal of Pharmaceutical Sciences
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Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-82502025000100806&lng=en&tlng=en
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author Saúl Jiménez-Jiménez
Salomón Cordero-Sánchez
José-Gerardo Mejía-Hernández
David Quintanar-Guerrero
Luz-María Melgoza-Contreras
Rafael Villalobos-García
author_facet Saúl Jiménez-Jiménez
Salomón Cordero-Sánchez
José-Gerardo Mejía-Hernández
David Quintanar-Guerrero
Luz-María Melgoza-Contreras
Rafael Villalobos-García
author_sort Saúl Jiménez-Jiménez
collection DOAJ
description Abstract Pharmaceutical controlled-release formulations are systems developed by a set of unit operations to achieve a satisfactory combination between a drug and excipients to allow its gradual release. These devices must simultaneously meet criteria for stability, biocompatibility, safety, efficacy, scalability at industrial volumes, and technological efficiency for drug release. Controlled-release systems (CRSs) must release drugs in a way that maintains an adequate concentration in the organism, a requirement that is challenging to meet in practice. Even though novel CRSs may be designed with new materials as excipients, new drugs, or emerging manufacturing technologies, the mechanisms for drug release continue to be governed by a set of similar physicochemical phenomena such as diffusion, swelling, or erosion. These phenomena are too complex to be analyzed by numerical methods; however, they are relatively accessible by probabilistic models especially the Monte Carlo simulation. In this review, we discuss key findings related to the use of this probabilistic method for analyzing the drug-controlled release process in different pharmaceutical devices. Based on this evidence, we propose their potential application in the characterization of new drug-controlled release systems, synergy with other computational methods, and their capability to be adapted for in vivo or in vitro kinetic analysis.
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spelling doaj-art-b878aecc59824b92abadbaf658a7b54b2025-01-21T07:42:29ZengUniversidade de São PauloBrazilian Journal of Pharmaceutical Sciences2175-97902025-01-016110.1590/s2175-97902025e24249Monte Carlo simulation methods-based models for analyzing the kinetics of drug delivery from controlled release systemsSaúl Jiménez-Jiménezhttps://orcid.org/0000-0001-9969-2155Salomón Cordero-SánchezJosé-Gerardo Mejía-HernándezDavid Quintanar-GuerreroLuz-María Melgoza-ContrerasRafael Villalobos-GarcíaAbstract Pharmaceutical controlled-release formulations are systems developed by a set of unit operations to achieve a satisfactory combination between a drug and excipients to allow its gradual release. These devices must simultaneously meet criteria for stability, biocompatibility, safety, efficacy, scalability at industrial volumes, and technological efficiency for drug release. Controlled-release systems (CRSs) must release drugs in a way that maintains an adequate concentration in the organism, a requirement that is challenging to meet in practice. Even though novel CRSs may be designed with new materials as excipients, new drugs, or emerging manufacturing technologies, the mechanisms for drug release continue to be governed by a set of similar physicochemical phenomena such as diffusion, swelling, or erosion. These phenomena are too complex to be analyzed by numerical methods; however, they are relatively accessible by probabilistic models especially the Monte Carlo simulation. In this review, we discuss key findings related to the use of this probabilistic method for analyzing the drug-controlled release process in different pharmaceutical devices. Based on this evidence, we propose their potential application in the characterization of new drug-controlled release systems, synergy with other computational methods, and their capability to be adapted for in vivo or in vitro kinetic analysis.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-82502025000100806&lng=en&tlng=enMonte Carlo simulationDiffusionDrug-controlled releasePercolation thresholdNanotechnologySimulationSwelling
spellingShingle Saúl Jiménez-Jiménez
Salomón Cordero-Sánchez
José-Gerardo Mejía-Hernández
David Quintanar-Guerrero
Luz-María Melgoza-Contreras
Rafael Villalobos-García
Monte Carlo simulation methods-based models for analyzing the kinetics of drug delivery from controlled release systems
Brazilian Journal of Pharmaceutical Sciences
Monte Carlo simulation
Diffusion
Drug-controlled release
Percolation threshold
Nanotechnology
Simulation
Swelling
title Monte Carlo simulation methods-based models for analyzing the kinetics of drug delivery from controlled release systems
title_full Monte Carlo simulation methods-based models for analyzing the kinetics of drug delivery from controlled release systems
title_fullStr Monte Carlo simulation methods-based models for analyzing the kinetics of drug delivery from controlled release systems
title_full_unstemmed Monte Carlo simulation methods-based models for analyzing the kinetics of drug delivery from controlled release systems
title_short Monte Carlo simulation methods-based models for analyzing the kinetics of drug delivery from controlled release systems
title_sort monte carlo simulation methods based models for analyzing the kinetics of drug delivery from controlled release systems
topic Monte Carlo simulation
Diffusion
Drug-controlled release
Percolation threshold
Nanotechnology
Simulation
Swelling
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-82502025000100806&lng=en&tlng=en
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