Evidence map›Paper›PMID 42321535›Full record

ArticleAAPS PharmSciTech2026

Eigenrate-Based Thermodynamic Decomposition of Competing Release Mechanisms in Polymeric Nano- and Microspheres: The MMIR-S Framework with Arrhenius Dual-Population Burst Kinetics and Log-Normal Polydispersity Averaging.

Pitt Supaphol

Abstract read
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In one paragraph

Article in AAPS PharmSciTech, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

1 author.

Pitt SupapholThe Petroleum and Petrochemical College, Chulalongkorn University, Bangkok, Thailand. pitt.s@chula.ac.th.ORCID http://orcid.org/0000-0003-3804-0756

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Simultaneous operation of Fickian diffusion, swelling-mediated relaxation, and polymer erosion in polymeric nano- and microspheres produces release profiles whose mechanistic origins cannot be resolved by empirical models without system-specific refitting. I present the Modified Multicomponent Interactive Release for Spheres (MMIR-S) framework, a thermodynamically self-consistent mechanistic model for homogeneously loaded spherical particles that determines mechanism-specific release weights from tabulated molecular descriptors, without fitting to release data. The theoretical core is Thermodynamic Eigenrate Decomposition (TED), in which each mechanism is assigned a commensurable first-order depletion rate: the diffusion eigenrate (π

Indexed as

MicrospheresNanoparticlesPolymersDiffusionDrug LiberationKineticsParticle SizeSolubilityThermodynamicsPolymersFlory–Huggins interaction parameterHansen solubility parametersmechanistic drug release modelingpolymeric nano- and microspheresthermodynamic eigenrate decomposition

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.