Evidence map›Paper›PMID 39064362›Full record

ArticleMicromachines2024

Computational and Experimental Characterization of Aligned Collagen across Varied Crosslinking Degrees.

Shengmao Lin, Nashaita Y Patrawalla, Yingnan Zhai, Pengfei Dong, Vipuil Kishore, Linxia Gu

Abstract read
In one paragraph

Article in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Chemical Crosslinking of Acid Soluble Collagen Fibres.Biomimetics (Basel, Switzerland) · 2025
    Review
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.

Shengmao LinSchool of Civil Engineering and Architecture, Xiamen University of Technology, Xiamen 361024, China.
Nashaita Y PatrawallaDepartment of Biomedical Engineering and Science, Florida Institute of Technology, Melbourne, FL 32901, USA.
Yingnan ZhaiDepartment of Biomedical Engineering and Science, Florida Institute of Technology, Melbourne, FL 32901, USA.ORCID 0009-0000-9880-9825
Pengfei DongDepartment of Biomedical Engineering and Science, Florida Institute of Technology, Melbourne, FL 32901, USA.
Vipuil KishoreDepartment of Biomedical Engineering and Science, Florida Institute of Technology, Melbourne, FL 32901, USA.ORCID 0000-0002-2559-1789
Linxia GuDepartment of Biomedical Engineering and Science, Florida Institute of Technology, Melbourne, FL 32901, USA.ORCID 0000-0003-2637-0299

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Collagen-based scaffolds have been widely used in tissue engineering. The alignment of collagen fibers and the degree of crosslinking in engineering tissue scaffolds significantly affect cell activity and scaffold stability. Changes in microarchitecture and crosslinking degree also impact the mechanical properties of collagen scaffolds. A clear understanding of the effects of collagen alignment and crosslinking degrees can help properly control these critical parameters for fabricating collagen scaffolds with desired mechanical properties. In this study, combined uniaxial mechanical testing and finite element method (FEM) were used to quantify the effects of fiber alignment and crosslinking degree on the mechanical properties of collagen threads. We have fabricated electrochemically aligned collagen (ELAC) and compared it with randomly distributed collagen at varying crosslinking degrees, which depend on genipin concentrations of 0.1% or 2% for crosslinking durations of 1, 4, and 24 h. Our results indicate that aligned collagen fibers and higher crosslinking degree contribute to a larger Young's modulus. Specifically, aligned fiber structure, compared to random collagen, significantly increases Young's modulus by 112.7% at a 25% crosslinking degree (0.1% (4 h), i.e., 0.1% genipin concentration with a crosslinking duration of 4 h). Moreover, the ELAC Young's modulus increased by 90.3% as the crosslinking degree doubled by changing the genipin concentration from 0.1% to 2% with the same 4 h crosslinking duration. Furthermore, verified computational models can predict mechanical properties based on specific crosslinking degrees and fiber alignments, which facilitate the controlled fabrication of collagen threads. This combined experimental and computational approach provides a systematic understanding of the interplay among fiber alignment, crosslinking parameters, and mechanical performance of collagen scaffolds. This work will enable the precise fabrication of collagen threads for desired tissue engineering performance, potentially advancing tissue engineering applications.

Indexed as

collagenelectrochemical alignmentFEMfinite element modelinggenipin crosslinkingRVEtissue engineeringVoronoi network

Identifiers

PMID39064362
PMCPMC11278924

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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.