Evidence map›Paper›PMID 37111703›Full record

ArticlePharmaceutics2023

3D Printing Technology Based on Versatile Gelatin-Carrageenan Gel System for Drug Formulations.

En Liang, Zengming Wang, Xiang Li, Shanshan Wang, Xiaolu Han, Daquan Chen, Aiping Zheng

Abstract read
In one paragraph

Article in Pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
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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

7 authors.

En LiangCollaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs, School of Pharmacy, Yantai University, Yantai 264005, China.
Zengming WangBeijing Institute of Pharmacology and Toxicology, 27th Taiping Road, Haidian District, Beijing 100850, China.
Xiang LiBeijing Institute of Pharmacology and Toxicology, 27th Taiping Road, Haidian District, Beijing 100850, China.
Shanshan WangBeijing Institute of Pharmacology and Toxicology, 27th Taiping Road, Haidian District, Beijing 100850, China.
Xiaolu HanBeijing Institute of Pharmacology and Toxicology, 27th Taiping Road, Haidian District, Beijing 100850, China.
Daquan ChenCollaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs, School of Pharmacy, Yantai University, Yantai 264005, China.ORCID 0000-0002-6796-0204
Aiping ZhengBeijing Institute of Pharmacology and Toxicology, 27th Taiping Road, Haidian District, Beijing 100850, China.

Funding

Beijing Natural Science Foundation of Chima No. L202043National Natural Science Foundation of China No. 82073793
6 · The paper itself

Abstract

Currently, there is a shortage of pediatric medicines on the market, and 3D printing technology can more flexibly produce personalized medicines to meet individual needs. The study developed a child-friendly composite gel ink (carrageenan-gelatin), created 3D models by computer-aided design technology, then produced personalized medicines using 3D printing to improve the safety and accuracy of medication for pediatric patients. An in-depth understanding of the printability of different formulations was obtained by analyzing the rheological and textural properties of different gel inks and observing the microstructure of different gel inks, which guided the formulation optimization. Through formulation optimization, the printability and thermal stability of gel ink were improved, and F6 formulation (carrageenan: 0.65%; gelatin: 12%) was selected as the 3D printing inks. Additionally, a personalized dose linear model was established with the F6 formulation for the production of 3D printed personalized tablets. Moreover, the dissolution tests showed that the 3D printed tablets were able to dissolve more than 85% within 30 min and had similar dissolution profiles to the commercially available tablets. This study demonstrates that 3D printing is an effective manufacturing technique that allows for flexible, rapid, and automated production of personalized formulations.

Indexed as

3D printingmicrostructurepediatric medicinesprintabilityrheological characteristics

Identifiers

PMID37111703
PMCPMC10141357

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.