Jienan Shen
Liaoning University of Technology
13 Papers
28 Citations
Jienan Shen is an academic researcher from Liaoning University of Technology. The author has contributed to research in topics: Proton exchange membrane fuel cell & Direct methanol fuel cell. The author has an hindex of 6, co-authored 11 publications.
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Papers
From structures, packaging to application: A system-level review for micro direct methanol fuel cell
TL;DR: In this article, the progress on the recent development of micro direct methanol fuel cell (μDMFC) is discussed and a review of its functional components including micro flow field plate, membrane electrode assembly, proton exchange membrane, catalytic layer, diffusion layer and collector are studied and discussed.
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CO2 Laser Ablation of Microchannel on PMMA Substrate for Effective Fabrication of Microfluidic Chips
TL;DR: In this paper, a simple and rapid method for fabrication of microfluidic chips on polymethylmethacrylate (PMMA) substrate using a flexible and low-cost CO2 laser system was reported.
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Manufacturing methods and applications of membranes in microfluidics
TL;DR: A lot of applications of membranes in microfluidics for applications including chemical reagents detection, gas detection, drug screening, cell, protein, microreactor, electrokinetical fluid, pump and valve and fluid transport control and so on are reviewed.
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Fractal design of microfluidics and nanofluidics—A review
TL;DR: Fractal design of microfluidics for mixing, reaction, heat transfer and lots of other application are illustrated and discussed in this paper, where a variety of micro-fluidic and nanofluidic devices designed based on fractal method are expounded and analyzed.
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CRISPR/Cas12a-Assisted isothermal amplification for rapid and specific diagnosis of respiratory virus on an microfluidic platform.
Jienan Shen,Zhi Chen,Ruibin Xie,Jingfeng Li,Chunyan Liu,Yaqing He,Xiaopeng Ma,Hui Yang,Zhong Liang Xie +8 more
TL;DR: This innovative LOC-CRISPR system has the ability to quickly, sensitively, and accurately detect multiple target nucleic acid sequences with single-base mutations, which will further improve the rapid identification and traceability of respiratory viruses infectious diseases.
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