Evidence map›Paper›PMID 36590827›Full record

ArticleInternational journal of pharmaceutics: X2023

Releasing fast and slow: Non-destructive prediction of density and drug release from SLS 3D printed tablets using NIR spectroscopy.

Sarah J Trenfield, Xiaoyan Xu, Alvaro Goyanes, Martin Rowland, David Wilsdon, Simon Gaisford, Abdul W Basit

Abstract read
In one paragraph

Article in International journal of pharmaceutics: X, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  16. Prediction of cyanidin 3-rutinoside content inFrontiers in plant science · 2024
    Article
  17. Article
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  19. A case study on decentralized manufacturing of 3D printed medicines.International journal of pharmaceutics: X · 2023
    Article
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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.

Sarah J TrenfieldUCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK.
Xiaoyan XuUCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK.
Alvaro GoyanesUCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK.
Martin RowlandPfizer Ltd., Drug Product Design, Discovery Park, Ramsgate Road, Sandwich CT13 9ND, UK.
David WilsdonPfizer Ltd., 280 Shennecossett Road, Groton, CT 06340, United States.
Simon GaisfordUCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK.
Abdul W BasitUCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selective laser sintering (SLS) 3D printing is a revolutionary 3D printing technology that has been found capable of creating drug products with varied release profiles by changing the laser scanning speed. Here, SLS 3D printed formulations (printlets) loaded with a narrow therapeutic index drug (theophylline) were produced using SLS 3D printing at varying laser scanning speeds (100-180 mm/s). The use of reflectance Fourier Transform - Near Infrared (FT-NIR) spectroscopy was evaluated as a non-destructive approach to predicting 3D printed tablet density and drug release at 2 h and 4 h. The printed drug products formulated with a higher laser speed exhibited an accelerated drug release and reduced density compared with the slower laser scanning speeds. Univariate calibration models were developed based on a baseline shift in the spectra in the third overtone region upon changing physical properties. For density prediction, the developed univariate model had high linearity (R

Indexed as

3D printed medicinesAdditive manufacturingPowder bed fusion printingPrinted drug delivery systems and pharmaceuticalsProcess analytical technology tools

Identifiers

PMID36590827
PMCPMC9798196

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.