PubMed · 809444
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D Domurado, D Thomas, G Brown. 1975. A new method for producing proteic coatings.. https://doi.org/10.1002/jbm.820090110
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The contamination of water resources by uranyl (UO22+) ions poses significant environmental and health risks, requiring the development of efficient and sustainable remediation strategies. Adsorption-based techniques have emerged as promising approaches in the field of UO22+ removal, but the design of cost-effective, high-capacity, and environmentally friendly adsorbents remains challenging. In this study, a three-dimensional porous nano-hydroxyapatite@gelatin (nHAP@Ge) composite was synthesized through glutaraldehyde cross-linking, combining the structural stability of Ge with the high uranium affinity of nHAP. The optimized nHAP@Ge, with a nHAP:Ge mass ratio of 1:0.5, exhibited exceptional UO22+ removal efficiency (97 %), along with high adsorption capacity (364.03 mg/g). Systematic characterizations using scanning electron microscopy (SEM), thermogravimetric analysis (TGA), Fourier transform infrared (FT-IR) spectroscopy, and X-ray photoelectron spectroscopy (XPS) methods revealed that the porous structure and surface functional groups (-OH, Ca2+, and PO43-) of the material synergistically contributed to binding UO22+ species. Furthermore, the incorporation of nHAP into the Ge framework resulted in enhanced thermal stability while significantly improving the UO22+ adsorption performance. This work presents a scalable, eco-friendly, and recyclable strategy for the effective treatment of uranium-contaminated water, with potential applications in nuclear wastewater treatment and environmental remediation.
Study of axonal growth and ligand-receptor interactions requires specificity and careful characterization of the biomaterial substrates to which the neurons bind. It would be impossible to predict the effects of important variables such as composition, surface density, spatial distribution, and conformation of the ligands on axonal growth of a neuron without highly specific surface characterization. Here, we compare two methods of surface modification (hereafter referred to as "Heterobifunctional Crosslinker" and "Pluronics" methods) used for immobilization of fibronectin (FN) and FN-derived, RGD-containing peptides to the substrates. We also characterized their performance in neurite outgrowth experiments. Various surface analytical techniques such as contact angle measurement, XPS, and time-of-flight secondary ion mass spectrometry (TOF-SIMS) were used for the analysis of the substrates at each step of the two different chemistries involved. FN-patterned surfaces were created by micro-contact printing methods and confirmed by imaging TOF-SIMS, and AFM techniques. After immobilization of FN and/or FN-derived RGD-containing peptide, including the formation of micron-scale patterns of FN, the modified surfaces were plated with neurons from postnatal rat dorsal root ganglia (DRG) and incubated in serum-free medium. Both the peptide- and/or protein-modified substrates supported significantly greater neurite outgrowth than controls, and outgrowth on both substrate chemistries was inhibited by the addition of soluble RGD peptide. Patterned FN surfaces were successful in spatially controlling the neuron attachment and outgrowth.
The ability of the biomimetic peptides YIGSR, PHSRN and RGD to selectively affect adhesion and migration of human microvascular endothelial cells (MVEC) and vascular smooth muscle cells (HVSMC) was evaluated. Cell mobility was quantified by time-lapse video microscopy of single cells migrating on peptide modified surfaces. Polyethylene glycol (PEG) hydrogels modified with YIGSR or PHSRN allowed only limited adhesion and no spreading of MVEC and HVSMC. However, when these peptides were individually combined with the strong cell binding peptide RGD in PEG hydrogels, the YIGSR peptide was found to selectively enhance the migration of MVEC by 25% over that of MVEC on RGD alone (p<0.05). No corresponding effect was observed for HVSMC. This suggests that the desired response of specific cell types to tissue engineering scaffolds could be optimized through a combinatory approach to the use of biomimetic peptides.