Isolation and analysis of extracellular vesicles in a Morpho butterfly wing-integrated microvortex biochip

2020 ◽  
Vol 154 ◽  
pp. 112073 ◽  
Author(s):  
Shanying Han ◽  
Yueshuang Xu ◽  
Jie Sun ◽  
Yufeng Liu ◽  
Yuanjin Zhao ◽  
...  
2012 ◽  
Vol 22 (10) ◽  
pp. 2072-2080 ◽  
Author(s):  
Wenhong Peng ◽  
Shenmin Zhu ◽  
Wanlin Wang ◽  
Wang Zhang ◽  
Jiajun Gu ◽  
...  

2020 ◽  
Vol 92 (2) ◽  
pp. 223-232
Author(s):  
Zhen Luo ◽  
Zhaoyue Weng ◽  
Qingchen Shen ◽  
Shun An ◽  
Jiaqing He ◽  
...  

AbstractThis work explores an alternative vapor sensing mechanism through analyzing dynamic desorption process from butterfly wings for the differentiation of both individual and mixed vapors quantitatively. Morpho butterfly wings have been used in differentiating individual vapors, but it is challenging to use them for the differentiation of mixed vapor quantitatively. This paper demonstrates the use of Morpho butterfly wings for the sensitive and selective detection of closely related vapors in mixtures. Principal components analysis (PCA) is used to process the reflectance spectra of the wing scales during dynamic desorption of different vapors. With the desorption-based detection mechanism, individual vapors with different concentrations and mixed vapors with different mixing ratios can be differentiated using the butterfly wing based sensors. Both the original butterfly wings and butterfly wings with surface modification show the capability in distinguishing vapors in mixtures, which may offer a guideline for further improving selectivity and sensitivity of bioinspired sensors.


2012 ◽  
Vol 22 (10) ◽  
pp. 2071-2071 ◽  
Author(s):  
Wenhong Peng ◽  
Shenmin Zhu ◽  
Wanlin Wang ◽  
Wang Zhang ◽  
Jiajun Gu ◽  
...  

2020 ◽  
Vol 126 (10) ◽  
Author(s):  
Magali Thomé ◽  
Elodie Richalot ◽  
Serge Berthier

Author(s):  
Natacha H. Lord ◽  
Anthony J. Mulholland

An extension of the dual weighted residual (DWR) method to the analysis of electromagnetic waves in a periodic diffraction grating is presented. Using the α ,0-quasi-periodic transformation, an upper bound for the a posteriori error estimate is derived. This is then used to solve adaptively the associated Helmholtz problem. The goal is to achieve an acceptable accuracy in the computed diffraction efficiency while keeping the computational mesh relatively coarse. Numerical results are presented to illustrate the advantage of using DWR over the global a posteriori error estimate approach. The application of the method in biomimetic, to address the complex diffraction geometry of the Morpho butterfly wing is also discussed.


2011 ◽  
Vol 31 (5) ◽  
pp. 0516002
Author(s):  
王马华 Wang Mahua ◽  
朱汉清 Zhu Hanqing ◽  
朱光平 Zhu Guangping

2007 ◽  
Vol 1 (2) ◽  
pp. 123-128 ◽  
Author(s):  
Radislav A. Potyrailo ◽  
Helen Ghiradella ◽  
Alexei Vertiatchikh ◽  
Katharine Dovidenko ◽  
James R. Cournoyer ◽  
...  

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