Evidence map›Paper›PMID 35119593›Full record

ArticlePharmaceutical research2022

Control of Drug-Excipient Particle Attributes with Droplet Microfluidic-based Extractive Solidification Enables Improved Powder Rheology.

Denise Z L Ng, Arif Z Nelson, Gareth Ward, David Lai, Patrick S Doyle, Saif A Khan

Erratum issuedAbstract read
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In one paragraph

Article in Pharmaceutical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 36% of its field
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, 10 citations in OpenAlex.

  1. Droplet-Based Microfluidics: Applications in Pharmaceuticals.Pharmaceuticals (Basel, Switzerland) · 2023
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Denise Z L NgDepartment of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore, 117576, Singapore.
Arif Z NelsonCritical Analytics for Manufacturing Personalized-Medicine, Singapore-MIT Alliance for Research and Technology, Singapore, 138602, Singapore.
Gareth WardGSK Medicines Research Centre, Gunnels Wood Road, Stevenage, Hertfordshire, SG12NY, UK.
David LaiGlaxoSmithKline LLC, Product and Process Engineering, 709 Swedeland Road, King of Prussia, Pennsylvania, 19406, USA.
Patrick S DoyleCritical Analytics for Manufacturing Personalized-Medicine, Singapore-MIT Alliance for Research and Technology, Singapore, 138602, Singapore. pdoyle@mit.edu.
Saif A KhanDepartment of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore, 117576, Singapore. saifkhan@nus.edu.sg.ORCID http://orcid.org/0000-0002-8990-8802
National University of Singapore · SGGlaxoSmithKline (United States) · USIIT@MIT · USSingapore-MIT Alliance for Research and Technology · SG

Funding

Pharmaceutical Innovation Programme Singapore A19B3a0012
6 · The paper itself

Abstract

purposeIndustrial implementation of continuous oral solid dosage form manufacturing has been impeded by the poor powder flow properties of many active pharmaceutical ingredients (APIs). Microfluidic droplet-based particle synthesis is an emerging particle engineering technique that enables the production of neat or composite microparticles with precise control over key attributes that affect powder flowability, such as particle size distribution, particle morphology, composition, and the API's polymorphic form. However, the powder properties of these microparticles have not been well-studied due to the limited mass throughputs of available platforms. In this work, we produce spherical API and API-composite microparticles at high mass throughputs, enabling characterization and comparison of the bulk powder flow properties of these materials and greater understanding of how particle-scale attributes correlate with powder rheology.

methodsA multi-channel emulsification device and an extractive droplet-based method are harnessed to synthesize spherical API and API-excipient particles of artemether. As-received API and API crystallized in the absence of droplet confinement are used as control cases. Particle attributes are characterized for each material and correlated with a comprehensive series of powder rheology tests.

resultsThe droplet-based processed artemether particles are observed to be more flowable, less cohesive, and less compressible than conventionally synthesized artemether powder. Co-processing the API with polycaprolactone to produce composite microparticles reduces the friction of the powder on stainless steel, a common equipment material.

conclusionsDroplet-based extractive solidification is an attractive particle engineering technique for improving powder processing and may aid in the implementation of continuous solid dosage form manufacturing.

Indexed as

Microfluidic Analytical TechniquesAntimalarialsArtemetherCrystallizationDrug CompoundingEmulsionsExcipientsFrictionPolyestersPowdersRheologyAntimalarialsArtemetherEmulsionsExcipientspolycaprolactonePolyestersPowdersmicrofluidicsparticle engineeringpharmaceutical crystallizationpowder propertiespowder rheology

Identifiers

PMID35119593
OpenAlexW4210256219

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.