Evidence map›Paper›PMID 40461867›Full record

ReviewAAPS PharmSciTech2025

Advances in Characterization of Transdermal and Topical Products using Texture Analyzer Systems.

Khadeejeh Al-Smadi, Masood Ali, Jiexin Zhu, Ayyah Abdoh, Khanh Phan, Yousuf Mohammed

Abstract readReview
PubMed Publisher
In one paragraph

Review in AAPS PharmSciTech, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Effect of Wet Aging on the Meat Quality of Two Cuts (Animals : an open access journal from MDPI · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. 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

6 authors.

Khadeejeh Al-SmadiFaculty of Health, Medicine and Behavioural Sciences, Frazer Institute, The University of Queensland, Brisbane, QLD, 4102, Australia.
Masood AliFaculty of Health, Medicine and Behavioural Sciences, Frazer Institute, The University of Queensland, Brisbane, QLD, 4102, Australia.
Jiexin ZhuFaculty of Health, Medicine and Behavioural Sciences, Frazer Institute, The University of Queensland, Brisbane, QLD, 4102, Australia.
Ayyah AbdohFaculty of Health, Medicine and Behavioural Sciences, Frazer Institute, The University of Queensland, Brisbane, QLD, 4102, Australia.
Khanh PhanFaculty of Health, Medicine and Behavioural Sciences, Frazer Institute, The University of Queensland, Brisbane, QLD, 4102, Australia.
Yousuf MohammedFaculty of Health, Medicine and Behavioural Sciences, Frazer Institute, The University of Queensland, Brisbane, QLD, 4102, Australia. y.mohammed@uq.edu.au.ORCID http://orcid.org/0000-0002-7825-7557

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The efficacy, safety, and stability of transdermal and topical products (TTPs) are of prime importance to consumer acceptance and compliance. To control the consistent textural quality or overall physical properties of TTPs, texture analysis tests are widely applied to assess potential changes in features and internal structure of products throughout different stages of formulation development, manufacturing, and distribution. As one of the essential texture test types, Texture Profile Analysis (TPA) provides critical insights into the structure, spreadability, adhesion, sensory attributes, and consistency of semisolid formulations via key measured parameters such as hardness, adhesiveness, cohesiveness, elasticity, and compressibility. Recent advancements in automation and multimodal analysis have enhanced the precision and applicability of TPA. For transdermal delivery systems (TDS), adhesion, a critical quality attribute (CQA), which is influenced by viscoelasticity, surface energy, and wetting characteristics of pressure-sensitive adhesives (PSAs), can be assessed through in vitro methods like peel, tack, and shear tests using texture analyzer systems. While in vivo assessments remain subjective, in vitro tests conducted by texture analyzers enable standardized and reproducible evaluations, ensuring reliable comparisons across products and bridging gaps between laboratory and real-world performance. Microneedles (µNDs), another innovative transdermal platform, require robust mechanical strength to ensure effective skin penetration and drug release. Texture analysis plays a pivotal role in characterizing critical properties such as hardness, flexibility, and puncture strength, simulating forces encountered during skin penetration. This analysis offers valuable insights into µND performance, ensuring safety, functionality, and patient compliance. This review systematically curates existing knowledge on using texture analyzers to measure textural properties of pharmaceutical TTPs while highlighting emerging trends and providing methodologies for testing and parameter derivation. By emphasizing the importance of CQA characterization for novel drug delivery platforms, this work underscores the role of texture analysis in optimizing designs of TTPs including µND, focusing on fracture, insertion, and bending forces, ultimately contributing to the development of safer and more efficient transdermal systems.

Indexed as

Drug Delivery SystemsAdministration, CutaneousAnimalsChemistry, PharmaceuticalElasticityHardnessHumansPharmaceutical PreparationsSkinSkin AbsorptionPharmaceutical Preparationsmicroneedlesphysical characteristicstexture analysistopical productstransdermal delivery systems

Identifiers

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.