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An Image-Analysis-Based Method for the Prediction of Recombinant Protein Fiber Tensile Strength

Backlund, Fredrik G. and Schmuck, Benjamin and Miranda, Gisele H. B. and Greco, Gabriele and Pugno, Nicola M. and Rydén, Jesper and Rising, Anna (2022). An Image-Analysis-Based Method for the Prediction of Recombinant Protein Fiber Tensile Strength. Materials. 15 :3 , 708
[Research article]

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Abstract

Silk fibers derived from the cocoon of silk moths and the wide range of silks produced by spiders exhibit an array of features, such as extraordinary tensile strength, elasticity, and adhesive properties. The functional features and mechanical properties can be derived from the structural composition and organization of the silk fibers. Artificial recombinant protein fibers based on engineered spider silk proteins have been successfully made previously and represent a promising way towards the large-scale production of fibers with predesigned features. However, for the production and use of protein fibers, there is a need for reliable objective quality control procedures that could be automated and that do not destroy the fibers in the process. Furthermore, there is still a lack of understanding the specifics of how the structural composition and organization relate to the ultimate function of silk-like fibers. In this study, we develop a new method for the categorization of protein fibers that enabled a highly accurate prediction of fiber tensile strength. Based on the use of a common light microscope equipped with polarizers together with image analysis for the precise determination of fiber morphology and optical properties, this represents an easy-to-use, objective non-destructive quality control process for protein fiber manufacturing and provides further insights into the link between the supramolecular organization and mechanical functionality of protein fibers.

Authors/Creators:Backlund, Fredrik G. and Schmuck, Benjamin and Miranda, Gisele H. B. and Greco, Gabriele and Pugno, Nicola M. and Rydén, Jesper and Rising, Anna
Title:An Image-Analysis-Based Method for the Prediction of Recombinant Protein Fiber Tensile Strength
Series Name/Journal:Materials
Year of publishing :2022
Volume:15
Number:3
Article number:708
Number of Pages:13
Publisher:MDPI
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Biophysics
Keywords:spider silk, protein fibers, image analysis, structure-function relationship, prediction, mechanical properties
URN:NBN:urn:nbn:se:slu:epsilon-p-116853
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-116853
Additional ID:
Type of IDID
DOI10.3390/ma15030708
Web of Science (WoS)000777684900001
ID Code:27703
Faculty:VH - Faculty of Veterinary Medicine and Animal Science
NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(VH) > Dept. of Anatomy, Physiology and Biochemistry
(NL, NJ) > Dept. of Energy and Technology
Deposited By: SLUpub Connector
Deposited On:05 May 2022 11:25
Metadata Last Modified:05 May 2022 11:31

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