Development of a Process for the Spinning of Synthetic Spider Silk

Copeland, Cameron G.; Bell, Brianne E.; Christensen, Chad D.; Lewis, Randolph V.

doi:10.1021/acsbiomaterials.5b00092

Cited by 82 publications

(91 citation statements)

References 50 publications

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“…Most studies characterizing post-spin stretching of silk-based fibers have reported carrying out this step manually with the use of forceps or tweezers 9,11,12,42 , with some reports of using controlled post-spin stretching apparatuses (e.g. 16,44 ). An apparatus can certainly be envisioned that incorporates the post-spin stretching as part of an automated fiber production process 16,44 .…”

Section: Post-spin Stretching Of As W 3 Fibersmentioning

confidence: 99%

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Identification of Wet-Spinning and Post-Spin Stretching Methods Amenable to Recombinant Spider Aciniform Silk

Weatherbee-Martin¹,

Xu²,

Hupe

et al. 2016

Biomacromolecules

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Spider silks are outstanding biomaterials with mechanical properties that outperform synthetic materials. Of the six fibrillar spider silks, aciniform (or wrapping) silk is the toughest through a unique combination of strength and extensibility. In this study, a wet-spinning method for recombinant Argiope trifasciata aciniform spidroin (AcSp1) is introduced. Recombinant AcSp1 comprising three 200 amino acid repeat units was solubilized in a 1,1,1,3,3,3-hexafluoro-2-propanol (HFIP)/water mixture, forming a viscous α-helix-enriched spinning dope, and wet-spun into an ethanol/water coagulation bath allowing continuous fiber production. Post-spin stretching of the resulting wet-spun fibers in water significantly improved fiber strength, enriched β-sheet conformation without complete α-helix depletion, and enhanced birefringence. These methods allow reproducible aciniform silk fiber formation, albeit with lower extensibility than native silk, requiring conditions and methods distinct from those previously reported for other silk proteins. This provides an essential starting point for tailoring wet-spinning of aciniform silk to achieve desired properties. Graphical Abstract*

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Section: Post-spin Stretching Of As W 3 Fibersmentioning

confidence: 99%

“…16,44 ). An apparatus can certainly be envisioned that incorporates the post-spin stretching as part of an automated fiber production process 16,44 . However, this requires knowledge of the optimal degree of post-spin stretching.…”

Section: Post-spin Stretching Of As W 3 Fibersmentioning

confidence: 99%

Identification of Wet-Spinning and Post-Spin Stretching Methods Amenable to Recombinant Spider Aciniform Silk

Weatherbee-Martin¹,

Xu²,

Hupe

et al. 2016

Biomacromolecules

View full text Add to dashboard Cite

show abstract

“…34. The production process 35 involved coagulation of a fiber in an IPA bath, passing through a methanol/ water bath where it was stretched 1.5Â, and then through a water bath, where 65 mg of Rhodamine B was dissolved in 200 ml of distilled water, and stretched again 1.5Â. This allowed the Rhodamine B to be integrated throughout the fiber surface, although at an unknown concentration.…”

Section: B Fluorophore Selectionmentioning

confidence: 99%

CdSe/ZnS quantum dot fluorescence spectra shape-based thermometry via neural network reconstruction

Munro

Liu

Glorieux

et al. 2016

Journal of Applied Physics

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Articles you may be interested in Fluorescence resonance energy transfer measured by spatial photon migration in CdSe-ZnS quantum dots colloidal systems as a function of concentration Appl. Phys. Lett. 105, 203108 (2014) As a system of interest gets small, due to the influence of the sensor mass and heat leaks through the sensor contacts, thermal characterization by means of contact temperature measurements becomes cumbersome. Non-contact temperature measurement offers a suitable alternative, provided a reliable relationship between the temperature and the detected signal is available. In this work, exploiting the temperature dependence of their fluorescence spectrum, the use of quantum dots as thermomarkers on the surface of a fiber of interest is demonstrated. The performance is assessed of a series of neural networks that use different spectral shape characteristics as inputs (peak-based-peak intensity, peak wavelength; shape-based-integrated intensity, their ratio, full-width half maximum, peak normalized intensity at certain wavelengths, and summation of intensity over several spectral bands) and that yield at their output the fiber temperature in the optically probed area on a spider silk fiber. Starting from neural networks trained on fluorescence spectra acquired in steady state temperature conditions, numerical simulations are performed to assess the quality of the reconstruction of dynamical temperature changes that are photothermally induced by illuminating the fiber with periodically intensitymodulated light. Comparison of the five neural networks investigated to multiple types of curve fits showed that using neural networks trained on a combination of the spectral characteristics improves the accuracy over use of a single independent input, with the greatest accuracy observed for inputs that included both intensity-based measurements (peak intensity) and shape-based measurements (normalized intensity at multiple wavelengths), with an ultimate accuracy of 0.29 K via numerical simulation based on experimental observations. The implications are that quantum dots can be used as a more stable and accurate fluorescence thermometer for solid materials and that use of neural networks for temperature reconstruction improves the accuracy of the measurement. Published by AIP Publishing.

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“…Recently, Copeland et al . prepared synthetic spider silk using a wet-spinning process that involved an air gap32. However, the function of this air gap was not investigated.…”

Section: Resultsmentioning

confidence: 99%

Recombinant spider silk from aqueous solutions via a bio-inspired microfluidic chip

Peng

Zhang

Lü

et al. 2016

Sci Rep

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Spiders achieve superior silk fibres by controlling the molecular assembly of silk proteins and the hierarchical structure of fibres. However, current wet-spinning process for recombinant spidroins oversimplifies the natural spinning process. Here, water-soluble recombinant spider dragline silk protein (with a low molecular weight of 47 kDa) was adopted to prepare aqueous spinning dope. Artificial spider silks were spun via microfluidic wet-spinning, using a continuous post-spin drawing process (WS-PSD). By mimicking the natural spinning apparatus, shearing and elongational sections were integrated in the microfluidic spinning chip to induce assembly, orientation of spidroins, and fibril structure formation. The additional post-spin drawing process following the wet-spinning section partially mimics the spinning process of natural spider silk and substantially contributes to the compact aggregation of microfibrils. Subsequent post-stretching further improves the hierarchical structure of the fibres, including the crystalline structure, orientation, and fibril melting. The tensile strength and elongation of post-treated fibres reached up to 510 MPa and 15%, respectively.

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Development of a Process for the Spinning of Synthetic Spider Silk

Cited by 82 publications

References 50 publications

Identification of Wet-Spinning and Post-Spin Stretching Methods Amenable to Recombinant Spider Aciniform Silk

Identification of Wet-Spinning and Post-Spin Stretching Methods Amenable to Recombinant Spider Aciniform Silk

CdSe/ZnS quantum dot fluorescence spectra shape-based thermometry via neural network reconstruction

Recombinant spider silk from aqueous solutions via a bio-inspired microfluidic chip

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