Origami Biosystems: 3D Assembly Methods for Biomedical Applications

被引:72
作者
Quinones, Vladimir A. Bolanos [1 ]
Zhu, Hong [1 ]
Solovev, Alexander A. [1 ]
Mei, Yongfeng [1 ]
Gracias, David H. [2 ]
机构
[1] Fudan Univ, State Key Lab ASIC & Syst, Dept Mat Sci, Shanghai 200433, Peoples R China
[2] Johns Hopkins Univ, Dept Chem & Biomol Engn, 3400 N Charles St,221 Maryland Hall, Baltimore, MD 21218 USA
基金
美国国家科学基金会;
关键词
bio-MEMS; biosensors; drug delivery; minimally invasive surgery; robotics; self-folding; ROLLED-UP NANOTECHNOLOGY; OF-THE-ART; DNA-ORIGAMI; MICROFLUIDIC DEVICES; LABEL-FREE; IN-VITRO; 3-DIMENSIONAL ARCHITECTURES; AUTONOMOUS MOVEMENT; CANCER-CELLS; SHAPE CHANGE;
D O I
10.1002/adbi.201800230
中图分类号
TB3 [工程材料学]; R318.08 [生物材料学];
学科分类号
0805 ; 080501 ; 080502 ;
摘要
Conventional assembly of biosystems has relied on bottom-up techniques, such as directed aggregation, or top-down techniques, such as layer-by-layer integration, using advanced lithographic and additive manufacturing processes. However, these methods often fail to mimic the complex three dimensional (3D) microstructure of naturally occurring biomachinery, cells, and organisms regarding assembly throughput, precision, material heterogeneity, and resolution. Pop-up, buckling, and self-folding methods, reminiscent of paper origami, allow the high-throughput assembly of static or reconfigurable biosystems of relevance to biosensors, biomicrofluidics, cell and tissue engineering, drug delivery, and minimally invasive surgery. The universal principle in these assembly methods is the engineering of intrinsic or extrinsic forces to cause local or global shape changes via bending, curving, or folding resulting in the final 3D structure. The forces can result from stresses that are engineered either during or applied externally after synthesis or fabrication. The methods facilitate the high-throughput assembly of biosystems in simultaneously micro or nanopatterned and layered geometries that can be challenging if not impossible to assemble by alternate methods. The authors classify methods based on length scale and biologically relevant applications; examples of significant advances and future challenges are highlighted.
引用
收藏
页数:18
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