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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Universidade de São Paulo
2025-01-01
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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. |
format | Article |
id | doaj-art-b878aecc59824b92abadbaf658a7b54b |
institution | Kabale University |
issn | 2175-9790 |
language | English |
publishDate | 2025-01-01 |
publisher | Universidade de São Paulo |
record_format | Article |
series | Brazilian Journal of Pharmaceutical Sciences |
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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