Evidence map›Paper›PMID 40830727›Full record

ArticlePharmaceutical research2025

Assessment of a Semi-solid Extrusion Based Compounding System Solution for Personalized Ondansetron Dosage Forms Combined with Raman Spectroscopy Analysis.

Mahsa Bahman, Jacopo Zini, Julius Lahtinen, Niko Hassinen, Soumya Verma, Timo Laaksonen, Sari Airaksinen, Niklas Sandler Topelius, Tapani Viitala

Abstract read
In one paragraph

Article in Pharmaceutical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

9 authors.

Mahsa BahmanPharmaceutical Sciences Laboratory, Åbo Akademi University, Artillerigatan 6A, 02520, Turku, Finland.ORCID http://orcid.org/0009-0003-6457-6199
Jacopo ZiniDrug Research Program, Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, Viikinkaar, 5E 00790, Helsinki, Finland.
Julius LahtinenCurifyLabs Oy, Salmisaarenaukio 1, 00180, Helsinki, Finland.
Niko HassinenCurifyLabs Oy, Salmisaarenaukio 1, 00180, Helsinki, Finland.
Soumya VermaCurifyLabs Oy, Salmisaarenaukio 1, 00180, Helsinki, Finland.
Timo LaaksonenDrug Research Program, Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, Viikinkaar, 5E 00790, Helsinki, Finland.
Sari AiraksinenCurifyLabs Oy, Salmisaarenaukio 1, 00180, Helsinki, Finland.
Niklas Sandler TopeliusPharmaceutical Sciences Laboratory, Åbo Akademi University, Artillerigatan 6A, 02520, Turku, Finland.
Tapani ViitalaPharmaceutical Sciences Laboratory, Åbo Akademi University, Artillerigatan 6A, 02520, Turku, Finland. tapani.viitala@abo.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objective3D printing and extrusion-based technologies, especially semi-solid extrusion (SSE), are promising solutions to fulfil the need to personalize pediatric medicines. In this study an automated SSE based Compounding System Solution (CSS) technology was assessed for creating customized Ondansetron tablets. Additionally, a non-destructive quality control method for the customized Ondansetron tablets was developed by utilizing Raman Spectroscopy (RS) measurements and partial least square (PLS) analysis.

methodsTablets of 400 mg with varying Ondansetron content (2-10 mg) and different sizes (200-500 mg) with 0.5% Ondansetron were manufactured and tested according to European and US Pharmacopoeia standards, HPLC, and the RS-based PLS model.

resultsThe mass uniformity tests showed high accuracy: 99.2% for varying drug content and 98.8% for different tablet sizes. All tablets met the acceptance criteria (AV < 15) and remained stable for six months at 25 ± 2 °C and ambient humidity. In-vitro dissolution tests confirmed over 85% drug release within 30 min, complying with USP standards. The RS-based PLS model predicted active pharmaceutical ingredient (API) content with a slope of 0.944 and an error of ~ 8%, which improved to 2-3% when excluding highly variable 10 mg samples. The model showed strong correlation with HPLC results and prediction (R

conclusionIn conclusion, the CSS technology, validated through pharmacopoeia tests, HPLC, and RS, effectively produces high-quality, personalized Ondansetron tablets. The study demonstrates the feasibility of using SSE and RS-based quality control for individualized pediatric drug formulations.

Indexed as

Drug CompoundingOndansetronChemistry, PharmaceuticalDrug LiberationDrug StabilityLeast-Squares AnalysisPrecision MedicinePrinting, Three-DimensionalQuality ControlSolubilitySpectrum Analysis, RamanTabletsOndansetronTabletsondansetronpersonalized medicinePLS modelquality controlraman spectroscopy

Identifiers

PMID40830727
PMCPMC12507975

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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.