2019
DOI: 10.1021/acsbiomaterials.9b00814
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Preparation and Statistical Characterization of Tunable Porous Sponge Scaffolds using UV Cross-linking of Methacrylate-Modified Silk Fibroin

Abstract: Silk fibroin sponges have been widely studied and reported in literature for tissue engineering applications. Several fabrication methods have been proposed during the years to cover most of the demands in terms of properties, which should be adapted to the considered tissue. Most of these procedures are based on the secondary structure transition of the protein to the stable β crystalline form. This transition, known as physical cross-linking, makes the sponge resistant to dissolution in water, and, in genera… Show more

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Cited by 57 publications
(68 citation statements)
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“…To avoid the modification of the morphology the hydrogels were rapidly frozen using liquid nitrogen to reduce the ice crystal dimension and not compromise the structure formed by the gels, then a freeze‐drying procedure was conducted for 2 days at 35°C. The pore size was then evaluated by image analysis conducted using the ImageJ (Schneider et al., 2012) following a previous developed methodology (Bucciarelli, Adami et al., 2020; Bucciarelli, Muthukumar et al., 2019; Bucciarelli, Reddy Chandraiahgari et al., 2020) and shown in Figure 1. Briefly, three images for each scaffold were collected by SEM, a color threshold was then applied to isolate the pores from the scaffold walls, subsequently the pores perimeter and the inner area were calculated.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…To avoid the modification of the morphology the hydrogels were rapidly frozen using liquid nitrogen to reduce the ice crystal dimension and not compromise the structure formed by the gels, then a freeze‐drying procedure was conducted for 2 days at 35°C. The pore size was then evaluated by image analysis conducted using the ImageJ (Schneider et al., 2012) following a previous developed methodology (Bucciarelli, Adami et al., 2020; Bucciarelli, Muthukumar et al., 2019; Bucciarelli, Reddy Chandraiahgari et al., 2020) and shown in Figure 1. Briefly, three images for each scaffold were collected by SEM, a color threshold was then applied to isolate the pores from the scaffold walls, subsequently the pores perimeter and the inner area were calculated.…”
Section: Methodsmentioning
confidence: 99%
“…They must also have adequate mechanical properties, decompose in response to the formation of new tissues, promote the spread of nutrients and metabolites, adhere and integrate with surrounding native tissues, and be able to adequately fill damaged areas (Freyman et al., 2001; M. Liu et al., 2017). Several natural matrices have been adopted in tissue engineering (silk fibroin, keratin, collagen, alginate and several polysaccharides) among them collagen is a versatile material that can be used to produce hydrogels, membranes, and porous scaffolds (Bucciarelli, Chiera et al., 2019; Bucciarelli et al., 2018, 2017; Bucciarelli, Muthukumar et al., 2019; Yang et al., 2019). Collagen has been successfully used in a wide range of tissue engineering applications as a base material for scaffolding and has been proved to be biocompatible, biodegradable, permeable, and with a low immunogenicity, it can also be formed in a way to tune the construct porosity (Dong & Lv, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…The degree of methacryloyl substitution is associated with the concentration of GMA; 424 mM showed the highest degree of crosslinking density at 42%. GMA is proposed to react with the primary amines of lysine residues, around 0.2% of all amino acids of silk fibroin, and was confirmed by proton nuclear magnetic resonance ( 1 H NMR) [ 49 , 103 ] ( Figure 5 a). However, GMA is reported to react with other groups, such as hydroxyl and carboxyl, via both the transesterification and the epoxide ring-opening mechanisms [ 102 , 104 ] ( Figure 5 b).…”
Section: Methacryloyl-modificationmentioning
confidence: 96%
“…A statistical method was used to cross-correlate the results obtained from the thermal predictive model and the mechanical failure analysis and to define a comprehensive model for tuning future sensor layouts to the required performance. The entire statistical analysis was done using the programming language R [ 57 ] following the statistical strategy described in previous works [ 58 , 59 , 60 , 61 ]. An initial comparison by verifying the presence of a significant difference among the various groups was performed by using the analysis of variance (ANOVA) and was followed by a Tukey multi-comparison test.…”
Section: Methodsmentioning
confidence: 99%