Evidence map›Paper›PMID 41892536›Full record

ArticleGels (Basel, Switzerland)2026

Integrating Moisture Sorption, Hygroscopic Kinetics, and Mechanical Analysis to Forecast Leakage and Shelf Life of Gelatin Soft Capsules.

Siyu Pan, Chao Xie, Chungang Zhang, Zitong Qiao

Abstract read
In one paragraph

Article in Gels (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Siyu PanCollege of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian 116600, China.
Chao XieCollege of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian 116600, China.
Chungang ZhangCollege of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian 116600, China.
Zitong QiaoCollege of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian 116600, China.

Funding

Inner Mongolia Major science and technology project No.2021ZD0017Liaoning Provincial Department of Education university basic scientific research project reserve project LJ212410162055Liaoning Provincial Science and Technology Programme Joint Programme(Applied Basic Research Project) 2023JH2/101700206Liaoning University of Traditional Chinese Medicine-Natural Science University Key Project 2021LZY047National Key Research and Development Program No.2018YFC1706903National Natural Science Foundation of China No.81503257
6 · The paper itself

Abstract

The objective of this study was to develop a predictive methodology for assessing the leakage phenomenon of gelatin-based soft capsules under various storage conditions. The equilibrium moisture content of the soft capsules was influenced by the temperature and humidity. The leakage phenomenon was attributable to the swelling of gelatin, as revealed by Fourier Transform Infrared spectroscopy (FT-IR) and Scanning Electron Microscopy (SEM) imaging techniques. Additionally, the moisture diffusion mechanism of soft capsule shells was systematically investigated based on the principles of hygroscopic kinetics, enabling quantitative evaluation of their hygroscopic performance under different environmental conditions. Based on macromechanical analysis, the mechanical failure curves of soft capsule shells under different environmental conditions were investigated, enabling successful determination of the shelf life of the soft capsules. Importantly, the Arrhenius equation and the generalized Eyring model were introduced to successfully predict the occurrence of leakage during storage. The developed prediction method performs successful and accurate stability assessment under various conditions, which is crucial for the development of soft capsules.

Indexed as

Arrhenius equationgelatinleakagesoft capsulesstabilitythe generalized Eyring model

Identifiers

PMID41892536
PMCPMC13024795

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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.