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. 2013 Mar 11;14(3):900-9.
doi: 10.1021/bm301995s. Epub 2013 Feb 27.

Two-dimensional nanostructure-reinforced biodegradable polymeric nanocomposites for bone tissue engineering

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Two-dimensional nanostructure-reinforced biodegradable polymeric nanocomposites for bone tissue engineering

Gaurav Lalwani et al. Biomacromolecules. .

Abstract

This study investigates the efficacy of two-dimensional (2D) carbon and inorganic nanostructures as reinforcing agents for cross-linked composites of the biodegradable and biocompatible polymer polypropylene fumarate (PPF) as a function of nanostructure concentration. PPF composites were reinforced using various 2D nanostructures: single- and multiwalled graphene oxide nanoribbons (SWGONRs, MWGONRs), graphene oxide nanoplatelets (GONPs), and molybdenum disulfide nanoplatelets (MSNPs) at 0.01-0.2 weight% concentrations. Cross-linked PPF was used as the baseline control, and PPF composites reinforced with single- or multiwalled carbon nanotubes (SWCNTs, MWCNTs) were used as positive controls. Compression and flexural testing show a significant enhancement (i.e., compressive modulus = 35-108%, compressive yield strength = 26-93%, flexural modulus = 15-53%, and flexural yield strength = 101-262% greater than the baseline control) in the mechanical properties of the 2D-reinforced PPF nanocomposites. MSNP nanocomposites consistently showed the highest values among the experimental or control groups in all the mechanical measurements. In general, the inorganic nanoparticle MSNP showed a better or equivalent mechanical reinforcement compared to carbon nanomaterials, and 2D nanostructures (GONPs, MSNPs) are better reinforcing agents compared to one-dimensional (1D) nanostructures (e.g., SWCNTs). The results also indicated that the extent of mechanical reinforcement is closely dependent on the nanostructure morphology and follows the trend nanoplatelets > nanoribbons > nanotubes. Transmission electron microscopy of the cross-linked nanocomposites indicated good dispersion of nanomaterials in the polymer matrix without the use of a surfactant. The sol-fraction analysis showed significant changes in the polymer cross-linking in the presence of MSNP (0.01-0.2 wt %) and higher loading concentrations of GONP and MWGONR (0.1-0.2 wt %). The analysis of surface area and aspect ratio of the nanostructures taken together with the above results indicated differences in nanostructure architecture (2D vs 1D nanostructures), and the chemical compositions (inorganic vs carbon nanostructures), number of functional groups, and structural defects for the 2D nanostructures may be key properties that affect the mechanical properties of 2D nanostructure-reinforced PPF nanocomposites and the reason for the enhanced mechanical properties compared to the controls.

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Figures

Figure 1
Figure 1
(A) AFM (a–d) and TEM (e–f) images of SWGONR, MWGONR, GONP and MSNP, respectively. Inset in a–d are height profiles (Z) of nanostructures. (B) Representative Raman spectra of (a) SWCNT, (b) MWCNT, (c) SWGONR, (d) MWGONR, (e) GONP, and (f) MSNP, respectively.
Figure 1
Figure 1
(A) AFM (a–d) and TEM (e–f) images of SWGONR, MWGONR, GONP and MSNP, respectively. Inset in a–d are height profiles (Z) of nanostructures. (B) Representative Raman spectra of (a) SWCNT, (b) MWCNT, (c) SWGONR, (d) MWGONR, (e) GONP, and (f) MSNP, respectively.
Figure 2
Figure 2
(A) compressive modulus, (B) compressive yield strength, (C) flexural modulus and (D) flexural yield strength of PPF nanocomposites as a function of nanostructure loading concentration. Error bars represent mean ± standard deviation for n=5. Groups with a significant difference compared to PPF composite are marked with the symbol “*” and with a significant difference compared to positive controls (either SWCNT composites, or MWCNT composites, or both SWCNT and MWCNT composites) are marked with “#” (p < 0.05).
Figure 2
Figure 2
(A) compressive modulus, (B) compressive yield strength, (C) flexural modulus and (D) flexural yield strength of PPF nanocomposites as a function of nanostructure loading concentration. Error bars represent mean ± standard deviation for n=5. Groups with a significant difference compared to PPF composite are marked with the symbol “*” and with a significant difference compared to positive controls (either SWCNT composites, or MWCNT composites, or both SWCNT and MWCNT composites) are marked with “#” (p < 0.05).
Figure 2
Figure 2
(A) compressive modulus, (B) compressive yield strength, (C) flexural modulus and (D) flexural yield strength of PPF nanocomposites as a function of nanostructure loading concentration. Error bars represent mean ± standard deviation for n=5. Groups with a significant difference compared to PPF composite are marked with the symbol “*” and with a significant difference compared to positive controls (either SWCNT composites, or MWCNT composites, or both SWCNT and MWCNT composites) are marked with “#” (p < 0.05).
Figure 2
Figure 2
(A) compressive modulus, (B) compressive yield strength, (C) flexural modulus and (D) flexural yield strength of PPF nanocomposites as a function of nanostructure loading concentration. Error bars represent mean ± standard deviation for n=5. Groups with a significant difference compared to PPF composite are marked with the symbol “*” and with a significant difference compared to positive controls (either SWCNT composites, or MWCNT composites, or both SWCNT and MWCNT composites) are marked with “#” (p < 0.05).
Figure 3
Figure 3
Sol fraction analysis of crosslinked PPF nanocomposites as a function of nanostructure loading (mean ± standard deviation for n=5 samples). Groups with a significant difference compared to PPF composite are marked with the symbol “*” (p < 0.05).
Figure 4
Figure 4
Representative transmission electron microscopy images of crosslinked PPF nanocomposites at 0.1 wt% loading of (A) SWCNT, (B) MWCNT, (C) SWGONR, (D) MWGONR, (E) GONP and (F) MSNP. Nanostructures are marked with red arrows.

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