Evidence map›Paper›PMID 36015194›Full record

ArticlePharmaceutics2022

Influence of the Binder Jetting Process Parameters and Binder Liquid Composition on the Relevant Attributes of 3D-Printed Tablets.

Klemen Kreft, Zoran Lavrič, Tijana Stanić, Petra Perhavec, Rok Dreu

Abstract read
In one paragraph

Article in Pharmaceutics, 2022. 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.

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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

5 authors.

Klemen KreftFaculty of Pharmacy, University of Ljubljana, Aškerčeva Cesta 7, 1000 Ljubljana, Slovenia.
Zoran LavričFaculty of Pharmacy, University of Ljubljana, Aškerčeva Cesta 7, 1000 Ljubljana, Slovenia.
Tijana StanićLek Pharmaceuticals d.d., a Sandoz Company, Verovškova Ulica 57, 1000 Ljubljana, Slovenia.
Petra PerhavecLek Pharmaceuticals d.d., a Sandoz Company, Verovškova Ulica 57, 1000 Ljubljana, Slovenia.
Rok DreuFaculty of Pharmacy, University of Ljubljana, Aškerčeva Cesta 7, 1000 Ljubljana, Slovenia.

Funding

Slovenian Research Agency P1-0189
6 · The paper itself

Abstract

Binder jetting has the potential to revolutionize the way we produce medicine. However, tablets produced by binder jetting technology can be quite fragile and hard to handle. In this study, the printing process and ink composition were examined to optimize the mechanical properties of tablets. A model formulation containing the ketoprofen drug was developed and used as a base for optimization. Firstly, important printing parameters were identified with a fractional factorial design. Saturation and layer height critically influenced selected tablet properties. Relevant process parameters were optimized for tablet mechanical strength by using the D-optimization DoE approach. The best mechanical properties were achieved when saturation was set to 1 and layer height to 150 µm. On the other hand, binder ink composition did not appear to impact tablet mechanical strength as much as process parameters did. Three ethanol-water mixtures were tested at three tablet strength levels and no definitive conclusions could be drawn. The binder jetting process can be wasteful, especially if the unbound powder cannot be reused. To determine the suitability of powder blend recycling, the ketoprofen content was measured for 27 subsequent batches of tablets. While the trendline did indicate a slight reduction in ketoprofen content, the powder blend reuse can nevertheless be employed.

Indexed as

3D-printed tabletsbinder jettingdesign of experimentsketoprofenmechanical propertiesprinter development

Identifiers

PMID36015194
PMCPMC9413128

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.