Literature DB >> 17601695

Micropumps, microvalves, and micromixers within PCR microfluidic chips: Advances and trends.

Chunsun Zhang1, Da Xing, Yuyuan Li.   

Abstract

This review surveys the advances of microvalves, micropumps, and micromixers within PCR microfluidic chips over the past ten years. First, the types of microvalves in PCR chips are discussed, including active and passive microvalves. The active microvalves are subdivided into mechanical (thermopneumatic and shape memory alloy), non-mechanical (hydrogel, sol-gel, paraffin, and ice), and external (modular built-in, pneumatic, and non-pneumatic) microvalves. The passive microvalves also include mechanical (in-line polymerized gel and passive plug) and non-mechanical (hydrophobic) microvalves. The review then discusses mechanical (piezoelectric, pneumatic, and thermopneumatic) and non-mechanical (electrokinetic, magnetohydrodynamic, electrochemical, acoustic-wave, surface tension and capillary, and ferrofluidic magnetic) micropumps in PCR chips. Next, different micromixers within PCR chips are presented, including passive (Y/T-type flow, recirculation flow, and drop) and active (electrokinetically-driven, acoustically-driven, magnetohydrodynamical-driven, microvalves/pumps) micromixers. Finally, general discussions on microvalves, micropumps, and micromixers for PCR chips are given. The microvalve/micropump/micromixers allow high levels of PCR chip integration and analytical throughput.

Entities:  

Mesh:

Year:  2007        PMID: 17601695     DOI: 10.1016/j.biotechadv.2007.05.003

Source DB:  PubMed          Journal:  Biotechnol Adv        ISSN: 0734-9750            Impact factor:   14.227


  31 in total

Review 1.  Sample pretreatment and nucleic acid-based detection for fast diagnosis utilizing microfluidic systems.

Authors:  Jung-Hao Wang; Chih-Hung Wang; Gwo-Bin Lee
Journal:  Ann Biomed Eng       Date:  2011-12-07       Impact factor: 3.934

Review 2.  Rethinking in vitro embryo culture: new developments in culture platforms and potential to improve assisted reproductive technologies.

Authors:  Gary D Smith; Shuichi Takayama; Jason E Swain
Journal:  Biol Reprod       Date:  2012-03-08       Impact factor: 4.285

3.  A Venturi microregulator array module for distributed pressure control.

Authors:  Dustin S Chang; Sean M Langelier; Ramsey I Zeitoun; Mark A Burns
Journal:  Microfluid Nanofluidics       Date:  2010-10-01       Impact factor: 2.529

4.  Shake, rattle and roll: bringing a little rock to the IVF laboratory to improve embryo development.

Authors:  Jason E Swain
Journal:  J Assist Reprod Genet       Date:  2013-11-06       Impact factor: 3.412

5.  A microfluidic gas damper for stabilizing gas pressure in portable microfluidic systems.

Authors:  Xinjie Zhang; Zhixian Zhu; Nan Xiang; Zhonghua Ni
Journal:  Biomicrofluidics       Date:  2016-10-28       Impact factor: 2.800

6.  Liquid metal enabled pump.

Authors:  Shi-Yang Tang; Khashayar Khoshmanesh; Vijay Sivan; Phred Petersen; Anthony P O'Mullane; Derek Abbott; Arnan Mitchell; Kourosh Kalantar-Zadeh
Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-18       Impact factor: 11.205

7.  Evaluation of peristaltic micromixers for highly integrated microfluidic systems.

Authors:  Duckjong Kim; Hoon Suk Rho; Sachin Jambovane; Soojeong Shin; Jong Wook Hong
Journal:  Rev Sci Instrum       Date:  2016-03       Impact factor: 1.523

8.  Latex micro-balloon pumping in centrifugal microfluidic platforms.

Authors:  Mohammad Mahdi Aeinehvand; Fatimah Ibrahim; Sulaiman Wadi Harun; Wisam Al-Faqheri; Tzer Hwai Gilbert Thio; Amin Kazemzadeh; Marc Madou
Journal:  Lab Chip       Date:  2014-03-07       Impact factor: 6.799

9.  Microfluidic-integrated laser-controlled microactuators with on-chip microscopy imaging functionality.

Authors:  Jae Hee Jung; Chao Han; Seung Ah Lee; Jinho Kim; Changhuei Yang
Journal:  Lab Chip       Date:  2014-10-07       Impact factor: 6.799

10.  Modulation of cultured neural networks using neurotrophin release from hydrogel-coated microelectrode arrays.

Authors:  Sang Beom Jun; Matthew R Hynd; Natalie M Dowell-Mesfin; Yousef Al-Kofahi; Badrinath Roysam; William Shain; Sung June Kim
Journal:  J Neural Eng       Date:  2008-05-13       Impact factor: 5.379

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