scholarly journals Phosphorylated and Phosphonated Low‐Complexity Protein Segments for Biomimetic Mineralization and Repair of Tooth Enamel

2022 ◽  
pp. 2103829
Author(s):  
Rong Chang ◽  
Yang‐Jia Liu ◽  
Yun‐Lai Zhang ◽  
Shi‐Ying Zhang ◽  
Bei‐Bei Han ◽  
...  
Keyword(s):  
Tooth Enamel ◽  
Low Complexity ◽  
Biomimetic Mineralization

scholarly journals Repair of tooth enamel by a biomimetic mineralization frontier ensuring epitaxial growth

2019 ◽  
Vol 5 (8) ◽  
pp. eaaw9569 ◽  
Author(s):  
Changyu Shao ◽  
Biao Jin ◽  
Zhao Mu ◽  
Hao Lu ◽  
Yueqi Zhao ◽  
...  
Keyword(s):  
Epitaxial Growth ◽  
Tooth Enamel ◽  
Apatite Structure ◽  
Biomimetic Mineralization ◽  
Hard Tissue ◽  
Complicated Structure ◽  
Ion Clusters ◽  
Phosphate Ion ◽  
Promising Strategy ◽  
Epitaxial Crystal Growth

The regeneration of tooth enamel, the hardest biological tissue, remains a considerable challenge because its complicated and well-aligned apatite structure has not been duplicated artificially. We herein reveal that a rationally designed material composed of calcium phosphate ion clusters can be used to produce a precursor layer to induce the epitaxial crystal growth of enamel apatite, which mimics the biomineralization crystalline-amorphous frontier of hard tissue development in nature. After repair, the damaged enamel can be recovered completely because its hierarchical structure and mechanical properties are identical to those of natural enamel. The suggested phase transformation–based epitaxial growth follows a promising strategy for enamel regeneration and, more generally, for biomimetic reproduction of materials with complicated structure.

A Low-Complexity Sparse Channel Estimation Method for OFDM Systems

2010 ◽  
Vol E93-B (8) ◽  
pp. 2211-2214
Author(s):  
Bin SHENG ◽  
Pengcheng ZHU ◽  
Xiaohu YOU ◽  
Lan CHEN
Keyword(s):  
Channel Estimation ◽  
Estimation Method ◽  
Low Complexity ◽  
Ofdm Systems ◽  
Sparse Channel Estimation ◽  
Sparse Channel
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