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

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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_slubar_slu_se_116853

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

About this item

Full title

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

Publisher

Switzerland: MDPI AG

Journal title

Materials, 2022-01, Vol.15 (3), p.708

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

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...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_swepub_primary_oai_slubar_slu_se_116853

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_slubar_slu_se_116853

Other Identifiers

ISSN

1996-1944

E-ISSN

1996-1944

DOI

10.3390/ma15030708