ReviewBiophysics reviews2023
Influence of experimental methods on the mechanical properties of silk fibers: A systematic literature review and future road map.
Review in Biophysics reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Liquid-liquid phase separation enables chromatography-free purification and high-performance spidroin-amyloid hybrid silk fibers.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Morphological and compositional basis of silk fiber function inJournal of materials chemistry. B · 2026Article
- Tailorable Hydrogel Fibers from High-Yield Recombinant Hagfish Intermediate Filament Proteins: A New Frontier in Biomimetic Materials.ACS omega · 2026Article
- Native Silk Fibers: Protein Sequence and Structure Influences on Thermal and Mechanical Properties.Biomacromolecules · 2025Review
- Exploring the functional properties ofMaterials today. Communications · 2025Article
- Post-spin Stretch Improves Mechanical Properties, Reduces Necking, and Reverts Effects of Aging in Biomimetic Artificial Spider Silk Fibers.ACS applied polymer materials · 2024Article
- Effects of Mini-Spidroin Repeat Region on the Mechanical Properties of Artificial Spider Silk Fibers.ACS omega · 2024Article
- Modifying Naturally Occurring, Nonmammalian-Sourced Biopolymers for Biomedical Applications.ACS biomaterials science & engineering · 2024Review
- Hierarchical looping results in extreme extensibility of silk fibre composites produced by Southern house spiders (Interface focus · 2024Article
- High-performance magnetic artificial silk fibers produced by a scalable and eco-friendly production method.Advanced composites and hybrid materials · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spider silk fibers are of scientific and industrial interest because of their extraordinary mechanical properties. These properties are normally determined by tensile tests, but the values obtained are dependent on the morphology of the fibers, the test conditions, and the methods by which stress and strain are calculated. Because of this, results from many studies are not directly comparable, which has led to widespread misconceptions in the field. Here, we critically review most of the reports from the past 50 years on spider silk mechanical performance and use artificial spider silk and native silks as models to highlight the effect that different experimental setups have on the fibers' mechanical properties. The results clearly illustrate the importance of carefully evaluating the tensile test methods when comparing the results from different studies. Finally, we suggest a protocol for how to perform tensile tests on silk and biobased fibers.
Identifiers
What OpenQuestion holds
Registered trials
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.