Evidence map›Paper›PMID 40354603›Full record

ArticleMolecular pharmaceutics2025

Simple Quantification of Sticking Propensities of Pharmaceuticals with Mechanochemistry.

Marta Brocca, Helen Blade, Sten O Nilsson Lill, Aurora J Cruz-Cabeza

Abstract read
In one paragraph

Article in Molecular pharmaceutics, 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

4 authors.

Marta BroccaDepartment of Chemistry, University of Durham, South Road, Durham DH1 3LE, U.K.ORCID 0009-0009-5089-3621
Helen BladeOral Product Development, Pharmaceutical Technology & Development, Operations, AstraZeneca Macclesfield, Cheshire SK10 2NA, U.K.ORCID 0000-0002-8898-4862
Sten O Nilsson LillData Science and Modelling, Pharmaceutical Sciences, R&D, AstraZeneca Gothenburg, Mölndal 43183, Sweden.
Aurora J Cruz-CabezaDepartment of Chemistry, University of Durham, South Road, Durham DH1 3LE, U.K.ORCID 0000-0002-0957-4823

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Punch sticking poses significant challenges in tablet manufacturing and the need for effective solutions is ever-growing. Direct sticking assessment methods often rely on bulky, material-consuming equipment such as compactor emulators, only available in manufacturing sites, and thus inaccessible for most research labs. Consequently, there only exists limited data on sticking propensities of pharmaceuticals in the literature, significantly limiting our understanding of the issue and how it impacts drug manufacturing. A novel, easy, material-sparing, and lab-friendly method to evaluate sticking trends across diverse systems is presented here. The method employs a mechanochemical technique (ball mill grinding) to measure the materials' adherence to a stainless-steel substrate (milling ball). After optimization of the operating parameters such as relative humidity pretreatment of materials, a best practice protocol was developed. We measured the sticking propensities of 19 diverse molecular crystalline systems consisting of active pharmaceutical ingredients (APIs), API precursors, and common excipients. The method was effective at differentiating and quantifying the sticking ability of our diverse set of systems, which were classified into low sticking (<30 g/m

Indexed as

Drug CompoundingTabletsChemistry, PharmaceuticalExcipientsHumidityPharmaceutical PreparationsExcipientsPharmaceutical PreparationsTablets

Identifiers

PMID40354603
PMCPMC12135065

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.