Literature DB >> 30623005

Values and property charts for anisotropic freeze-cast collagen scaffolds for tissue regeneration.

Prajan Divakar1, Kaiyang Yin1, Ulrike G K Wegst1.   

Abstract

Presented in this article are systematic microstructural and mechanical property data for anisotropic collagen scaffolds made by freeze casting. Three applied cooling rates (10 °C/min, 1 °C/min, 0.1 °C/min) and two freezing directions (longitudinal and radial) were used during scaffold manufacture. Utilizing a semi-automated image analysis technique applied to confocal micrographs of fully hydrated scaffolds, pore area, long and short pore axes, and pore aspect ratio were determined. Compression testing was performed to determine scaffold modulus, yield strength, and toughness.

Entities:  

Year:  2018        PMID: 30623005      PMCID: PMC6319300          DOI: 10.1016/j.dib.2018.10.171

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications table Value of the data This systematic data includes quantitative microstructural and mechanical properties for collagen scaffolds made with different applied cooling rates and freezing directions. Such data can be compared to those of collagen scaffolds made with similar or different fabrication techniques. The data obtained and correlations found for collagen scaffolds invite a comparison with scaffolds made from other biopolymers.

Data

Systematic structural and mechanical property data for longitudinally (L) and radially (R) frozen collagen scaffolds at three different applied cooling rates (10 °C/min, 1 °C/min, 0.1 °C/min) from the lower and upper regions (15 mm apart) of the scaffold are reported below. Included are two pore area measurements (one of the void area of the pore, only, the other of the void area of the pore plus half of the cell wall thickness surrounding the void), the lengths of the long and short pore axes, pore aspect ratio, modulus, yield strength, toughness, and overall porosity (Table 1, Table 2, Table 3, Table 4, Table 5, Table 6). Property charts illustrating structure-property-processing correlations are provided in Fig. 1.
Table 1

Pore area (mean ± S.E.) including and excluding the cell wall area for different scaffolds types in the lower scaffold region.

Scaffold typeApplied cooling rate (°C/min)Pore area with wall (µm2)Pore area without wall (µm2)
10812.9 ± 9.5638.9 ± 7.86
Longitudinal11710 ± 3.01388 ± 22.9
0.15373 ± 2444203 ± 207
107679 ± 256526 ± 336
Radial117,480 ± 514,550 ± 669
0.123,630 ± 28020,190 ± 2480
Table 2

Pore aspect ratio, long axis, and short axis (in all cases: mean ± S.D.) in the lower scaffold region.

Scaffold typeApplied cooling rate (°C/min)Aspect ratioLong axis (µm)Short axis (µm)
101.583 ± 0.47039.88 ± 19.925.08 ± 8.54
Longitudinal11.500 ± 0.38955.78 ± 24.737.80 ± 14.3
0.11.625 ± 0.463101.0 ± 56.763.76 ± 33.0
102.086 ± 1.05147.0 ± 11169.08 ± 28.5
Radial12.031 ± 0.908213.9 ± 140105.3 ± 42.0
0.11.774 ± 0.623205.6 ± 177115.7 ± 75.8
Table 3

Modulus, yield strength, and toughness (mean ± S.E.) in the lower scaffold region.

Scaffold typeApplied cooling rate (°C/min)Modulus (kPa)Yield strength (kPa)Toughness (kJ/m3)
103000 ± 23082.5 ± 2.040.0 ± 3.7
Longitudinal13040 ± 14084.7 ± 5.548.8 ± 2.3
0.12180 ± 14093.3 ± 2.759.5 ± 1.0
10779 ± 22037.6 ± 7.138.0 ± 5.7
Radial11280 ± 11068.9 ± 1251.7 ± 6.8
0.12290 ± 700137 ± 4.875.9 ± 5.1
Table 4

Pore area (mean ± S.E.) including and excluding the cell wall area for different scaffolds types in the upper scaffold region.

Scaffold typeApplied cooling rate (°C/min)Pore area with wall (µm2)Pore area without wall (µm2)
101809 ± 491370 ± 39.9
Longitudinal13597 ± 962873 ± 81.4
0.18452 ± 3956966 ± 348
1013,810 ± 117211,700 ± 1060
Radial115,750 ± 115413,110 ± 981
0.125,670 ± 379722,200 ± 3520
Table 5

Pore aspect ratio, long axis, and short axis (in all cases: mean ± S.D.) in the upper scaffold region.

Scaffold typeApplied cooling rate (°C/min)Aspect ratioLong axis (µm)Short axis (µm)
101.730 ± 0.67159.43 ± 41.434.58 ± 17.4
Longitudinal11.564 ± 0.49081.14 ± 43.453.01 ± 22.1
0.11.562 ± 0.633123.3 ± 61.483.48 ± 39.2
102.019 ± 0.846187.0 ± 13991.52 ± 49.8
Radial12.310 ± 1.25210.0 ± 16891.87 ± 48.3
0.11.927 ± 0.741221.3 ± 203116.2 ± 88.8
Table 6

Modulus, yield strength, and toughness (mean ± S.E.) in the upper scaffold region.

Scaffold typeApplied cooling rate (°C/min)Modulus (kPa)Yield strength (kPa)Toughness (kJ/m3)
103770 ± 24086.6 ± 2.732.1 ± 2.0
Longitudinal12050 ± 22086.5 ± 3.231.3 ± 2.2
0.11410 ± 12083.0 ± 2.233.1 ± 3.2
101310 ± 15051.3 ± 3.639.3 ± 0.85
Radial12780 ± 34038.8 ± 7.630.4 ± 3.3
0.13770 ± 24086.8 ± 1.948.2 ± 3.4
Fig. 1

Property charts illustrating structure-property-processing correlations between (A) pore short axis and applied cooling rate, (B) modulus and applied cooling rate, (C) yield strength and modulus, (D) toughness and modulus for longitudinally (L) and radially (R) frozen collagen scaffolds. Property Charts plotted using the Freeze-Cast Materials Database created with the CES Constructor 2018 Software [1]. The width of the individual material bubbles in the case of the applied cooling rate and length and width of material family bubbles is automatically generated by the CES software. In all other cases the bubble dimensions are defined by the experimental mean plus and minus one standard deviation.

Pore area (mean ± S.E.) including and excluding the cell wall area for different scaffolds types in the lower scaffold region. Pore aspect ratio, long axis, and short axis (in all cases: mean ± S.D.) in the lower scaffold region. Modulus, yield strength, and toughness (mean ± S.E.) in the lower scaffold region. Pore area (mean ± S.E.) including and excluding the cell wall area for different scaffolds types in the upper scaffold region. Pore aspect ratio, long axis, and short axis (in all cases: mean ± S.D.) in the upper scaffold region. Modulus, yield strength, and toughness (mean ± S.E.) in the upper scaffold region. Property charts illustrating structure-property-processing correlations between (A) pore short axis and applied cooling rate, (B) modulus and applied cooling rate, (C) yield strength and modulus, (D) toughness and modulus for longitudinally (L) and radially (R) frozen collagen scaffolds. Property Charts plotted using the Freeze-Cast Materials Database created with the CES Constructor 2018 Software [1]. The width of the individual material bubbles in the case of the applied cooling rate and length and width of material family bubbles is automatically generated by the CES software. In all other cases the bubble dimensions are defined by the experimental mean plus and minus one standard deviation.

Experimental design, materials, and methods

Slurry preparation

For freeze casting, a 2% (w/v) collagen slurry was prepared by adding 2 g of Type I fibrous bovine tendon collagen powder (Advanced Biomatrix Inc., San Diego, CA) to 0.05 M acetic acid, raising to a total volume of 100 mL, refrigerating the mixture for at least 12 h, and homogenizing (Fisher ScientificTM Homogenizer 152; Fisher Scientific International, Inc., Hampton, NH) thoroughly (at ~¾ maximum rpm) for 1.5 h in an ice bath. Prior to freeze casting, slurries (≥10 mL) were shear mixed for 3 min at 2200 rpm (Speed MixerTM, DAC 150FVZ-K, FlackTek, Landrum, SC).

Freeze casting

The collagen slurry was injected with a needle and syringe (161/2 gauge) into 4 mm diameter cylindrical bores of either PTFE molds (25.4 mm diameter; 30 mm length total length; mold bottom: copper) for longitudinal (L) freezing or aluminum molds (25.4 mm diameter; 45 mm total length; mold bottom: PTFE) for radial (R) freezing [2], [3]. Slurries were frozen on copper cold fingers of a standard freeze-casting system [4], at applied cooling rates of 10 °C/min, 1 °C/min, or 0.1 °C/min. Once samples were frozen, the molds were equilibrated to −20 °C in a freezer (HF-5017W-PA, VWR, Radnor, PA) prior to sample punch-out with an Arbor press for lyophilization at 0.008 mBar (−85 °C cooling coil temperature) for at least 24 h in a Freezone 6 Plus system (Labconco, Kansas City, MO).

Scaffold crosslinking

Freeze-cast and lyophilized collagen-based scaffolds were crosslinked in a solution of 33 mM 1-Ethyl-3-(3-dimethylaminopropyl) carbodiimide (EDC) and 6 mM N-hydroxysuccinimide (NHS) (both Sigma-Aldrich, St. Louis, MO) with 200 proof ethanol as the solvent, and stirred for 6 h at room temperature [5]. Scaffolds were immersed in fresh batches of distilled water and gently stirred for three wash cycles (1 h, 12 h, and 1 h). Before each wash cycle, samples were gently palpated to aid the removal of absorbed solution and residual crosslinking agents. Lastly, samples were soaked in distilled water before flash freezing in liquid nitrogen and lyophilization.

Confocal microscopy

Scaffolds were imaged in both the lower (7 mm from mold bottom) and upper regions (22 mm from mold bottom) of the scaffold. Transverse scaffold sections (Fig. 1) were prepared using a razor blade (Astra Superior Platinum) and custom-designed 3D printed miter boxes. For imaging, the cylinders were stained in 0.05 mg/mL fluorescein/PBS solution for 24 h on an orbital shaker (VWR International Company, Radnor, PA). Before imaging, samples were gently palpated (at least 3 times) to remove residual fluorescein solution, then immersed in fresh PBS. Imaging was performed with a Nikon A1R Confocal Microscope (Nikon Corporation, Tokyo, Japan) at a 488 nm excitation wavelength and 525/50 nm emission filter; samples were placed on a #1.5 coverslip (0.16–0.19 mm); no Z-stacking was used. The Imaris (8.4.1) imaging software (Bitplane, Belfast, UK) was used to analyze [6] the transverse confocal micrographs. For longitudinally-frozen scaffolds, analysis was performed on high-magnification micrographs obtained for each sample type; for radially-frozen scaffolds, analysis was performed on micrographs of the entire cross-section obtained for each sample type. Different imaging depths were chosen to accommodate the structural differences between the two freezing directions. The software was used to identify individual pores and measure pore area, lengths of the pore long and short axes, and pore aspect ratio. Two pore area measurements were performed in each case: one of the void area of the pore, only, the other including half of the cell wall thickness surrounding the void (Table 7).
Table 7

Number of pores, n, analyzed per scaffold type and region.

Scaffold typeApplied cooling rate (°C/min)Lower nUpper n
1046881548
Longitudinal123511117
0.1542409
10683294
Radial1707344
0.1411172
Number of pores, n, analyzed per scaffold type and region.

Compression testing

Compression tests were performed parallel to the cylinder axis on dry samples of 5 mm length and 4 mm diameter at ambient conditions (22–24 °C and r.h. 52–55%) on an Instron 5498 (Instron, Norwood, MA) with a 50 N load cell at cross-head speed of 0.05 mm s−1 (strain rate of 0.01/s). Compression was chosen to mimic in vivo loading conditions [2], [3], [6], [7], [8], [9]. The modulus (the slope of initial linear region), yield strength (yield point, if present, otherwise the intersection of the initial linear slope and the slope of the initially linear plateau region), and toughness (work to 60% strain) were determined from the stress-strain curves. Compression testing was performed on n = 3–5 samples for each of the six scaffold types.
Subject areaMaterials science
More specific subject areaBiomaterials
Type of dataTables and property charts
How data was acquiredConfocal microscopy; Compression testing.
Data formatAnalyzed
Experimental factorsScaffolds soaked in fluorescein for microscopy.
Experimental featuresPore area, long and short pore axes, and pore aspect ratio determined on confocal micrographs. Modulus, yield strength, and toughness (work to 60% strain) for collagen scaffolds.
Data source locationHanover, NH, United States
Data accessibilityData in article
  2 in total

1.  Quantitative evaluation of the in vivo biocompatibility and performance of freeze-cast tissue scaffolds.

Authors:  Prajan Divakar; Karen L Moodie; Eugene Demidenko; P Jack Hoopes; Ulrike G K Wegst
Journal:  Biomed Mater       Date:  2020-07-23       Impact factor: 3.715

2.  Plant-Derived Nanocellulose as Structural and Mechanical Reinforcement of Freeze-Cast Chitosan Scaffolds for Biomedical Applications.

Authors:  Kaiyang Yin; Prajan Divakar; Ulrike G K Wegst
Journal:  Biomacromolecules       Date:  2019-09-26       Impact factor: 6.988

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.