Evidence map›Paper›PMID 30901930›Full record

ReviewPharmaceutics2019

Mathematical Modeling of Release Kinetics from Supramolecular Drug Delivery Systems.

Constantin Mircioiu, Victor Voicu, Valentina Anuta, Andra Tudose, Christian Celia, Donatella Paolino, Massimo Fresta, Roxana Sandulovici, Ion Mircioiu

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 163 papers.

0numbers the graph read from it
0cells of the map it votes in
163citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

163 citing papers in PubMed.

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103 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Constantin MircioiuDepartment of Applied Mathematics and Biostatistics, Faculty of Pharmacy, "Carol Davila" University of Medicine and Pharmacy, 020956 Bucharest, Romania. constantin.mircioiu@yahoo.com.
Victor VoicuDepartment of Clinical Pharmacology, Toxicology and Psychopharmacology, Faculty of Medicine, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania. victor.voicu@yahoo.com.
Valentina AnutaDepartment of Physical and Colloidal Chemistry, Faculty of Pharmacy, "Carol Davila" University of Medicine and Pharmacy, 020956 Bucharest, Romania. valentina.anuta@umfcd.ro.
Andra TudoseDepartment of Applied Mathematics and Biostatistics, Faculty of Pharmacy, "Carol Davila" University of Medicine and Pharmacy, 020956 Bucharest, Romania. andratds@yohoo.com.
Christian CeliaDepartment of Pharmacy, G. D'Annunzio University of Chieti⁻Pescara, 66100 Chieti, Italy. c.celia@unich.it.
Donatella PaolinoDepartment of Clinical and Experimental Medicine, "Magna Græcia" University of Catanzaro, Germaneto - Catanzaro (CZ) 88100, Italy. paolino@uniczt.it.
Massimo FrestaDepartment of Health Sciences, School of Pharmacy, "Magna Græcia" University of Catanzaro, Germaneto - Catanzaro (CZ) 88100, Italy. fresta@uniczt.it.
Roxana SanduloviciDepartment of Applied Mathematics and Biostatistics, Titu Maiorescu University, 004051 Bucharest, Romania. roxana.sandulovici@yahoo.com.
Ion MircioiuDepartment of Biopharmacy and Pharmacokinetics, Titu Maiorescu University, 004051 Bucharest, Romania. ionutu@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Embedding of active substances in supramolecular systems has as the main goal to ensure the controlled release of the active ingredients. Whatever the final architecture or entrapment mechanism, modeling of release is challenging due to the moving boundary conditions and complex initial conditions. Despite huge diversity of formulations, diffusion phenomena are involved in practically all release processes. The approach in this paper starts, therefore, from mathematical methods for solving the diffusion equation in initial and boundary conditions, which are further connected with phenomenological conditions, simplified and idealized in order to lead to problems which can be analytically solved. Consequently, the release models are classified starting from the geometry of diffusion domain, initial conditions, and conditions on frontiers. Taking into account that practically all solutions of the models use the separation of variables method and integral transformation method, two specific applications of these methods are included. This paper suggests that "good modeling practice" of release kinetics consists essentially of identifying the most appropriate mathematical conditions corresponding to implied physicochemical phenomena. However, in most of the cases, models can be written but analytical solutions for these models cannot be obtained. Consequently, empiric models remain the first choice, and they receive an important place in the review.

Indexed as

boundary conditionsdiffusion equationdrug carriersrelease kinetics

Identifiers

PMID30901930
PMCPMC6471682

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.