Evidence map›Paper›PMID 36156968›Full record

ArticleComputational intelligence and neuroscience2022

Monitoring and Analysis Solid Formulation Dissolution Phenomenon with Image Recognition Technologies.

Haoyu Wang, Chiew Foong Kwong, Qianyu Liu, Junyao Liu, Zhixin Liu, Boon Giin Lee, Liang Huang

RetractedAbstract readRetracted Publication
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Haoyu WangDepartment of Electrical and Electronic Engineering, University of Nottingham Ningbo China, Ningbo, China.
Chiew Foong KwongDepartment of Electrical and Electronic Engineering, University of Nottingham Ningbo China, Ningbo, China.ORCID https://orcid.org/0000-0002-8164-5323
Qianyu LiuSchool of Information Science and Engineering, NingboTech University, Ningbo, China.
Junyao LiuCentral Research Institute, Shanghai Pharmaceutical Holding Co., Ltd., Shanghai, China.
Zhixin LiuDepartment of Outpatient, Liaoning Blood Embolus Medical Centre, Shenyang, China.
Boon Giin LeeDepartment of Computer Science, University of Nottingham Ningbo China, Ningbo, China.
Liang HuangDepartment of Electrical and Electronic Engineering, University of Nottingham Ningbo China, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dissolution test has become the most important quality index in the research and development of solid formulation, especially the evaluation of drug bioequivalence. However, it had low operability, was tedious, and was always overlooked. The previously related studies required a fixed tablet and analysed the recorded video by disso GUARO PRO and Microsoft Paint™. Therefore, we have developed a novel image recognition system to automatically track the moving tablet and analyse the volume change at the same time. Image recognition technology is often used to monitor the dissolution process. The camera system with visible light and infrared camera functions was placed on the dissolution tester. The system collects the plate image for binary processing and then records and calculates its pixel area, which can automatically record the volume change of the tablet in the dissolution test, no matter disintegration or corrosion.

Indexed as

TechnologySolubilityTabletsTablets

Identifiers

PMID36156968
PMCPMC9492363

What OpenQuestion holds

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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.