Literature DB >> 20445882

Application of dual-focus fluorescence correlation spectroscopy to microfluidic flow-velocity measurement.

Tyler J Arbour1, Jörg Enderlein.   

Abstract

Several methods exist to measure and map fluid velocities in microfluidic devices, which are vital to understanding properties on the micro- and nano-scale. Fluorescence correlation spectroscopy (FCS) is a method traditionally exploited for its ability to measure molecular diffusion coefficients. However, several reports during the past decade have shown that FCS can also be successfully used to measure precise flow rates in microfluidics with very high spatial resolution, making it a competitive alternative to other common flow-measurement methods. In 2007 we introduced a modified version of conventional FCS that overcomes many of the artifacts troubling the standard technique. Here we show how the advantages of this method, called dual-focus FCS, extend to flow measurements. To do so, we have measured the velocity flow profile along the cross-section of a square-bore microfluidic channel and compared the result to the theoretical prediction.

Year:  2010        PMID: 20445882     DOI: 10.1039/b924594d

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  6 in total

1.  Microfluidic mixer designed for performing single-molecule kinetics with confocal detection on timescales from milliseconds to minutes.

Authors:  Bengt Wunderlich; Daniel Nettels; Stephan Benke; Jennifer Clark; Sascha Weidner; Hagen Hofmann; Shawn H Pfeil; Benjamin Schuler
Journal:  Nat Protoc       Date:  2013-07-11       Impact factor: 13.491

Review 2.  Fluorescence correlation spectroscopy: a review of biochemical and microfluidic applications.

Authors:  Yu Tian; Michelle M Martinez; Dimitri Pappas
Journal:  Appl Spectrosc       Date:  2011-04       Impact factor: 2.388

3.  3D imaging of flow patterns in an internally-pumped microfluidic device: redox magnetohydrodynamics and electrochemically-generated density gradients.

Authors:  Feng Gao; Adam Kreidermacher; Ingrid Fritsch; Colin D Heyes
Journal:  Anal Chem       Date:  2013-04-18       Impact factor: 6.986

Review 4.  Hepatic effector CD8(+) T-cell dynamics.

Authors:  Matteo Iannacone
Journal:  Cell Mol Immunol       Date:  2014-09-22       Impact factor: 11.530

Review 5.  FRET-based dynamic structural biology: Challenges, perspectives and an appeal for open-science practices.

Authors:  Eitan Lerner; Anders Barth; Jelle Hendrix; Benjamin Ambrose; Victoria Birkedal; Scott C Blanchard; Richard Börner; Hoi Sung Chung; Thorben Cordes; Timothy D Craggs; Ashok A Deniz; Jiajie Diao; Jingyi Fei; Ruben L Gonzalez; Irina V Gopich; Taekjip Ha; Christian A Hanke; Gilad Haran; Nikos S Hatzakis; Sungchul Hohng; Seok-Cheol Hong; Thorsten Hugel; Antonino Ingargiola; Chirlmin Joo; Achillefs N Kapanidis; Harold D Kim; Ted Laurence; Nam Ki Lee; Tae-Hee Lee; Edward A Lemke; Emmanuel Margeat; Jens Michaelis; Xavier Michalet; Sua Myong; Daniel Nettels; Thomas-Otavio Peulen; Evelyn Ploetz; Yair Razvag; Nicole C Robb; Benjamin Schuler; Hamid Soleimaninejad; Chun Tang; Reza Vafabakhsh; Don C Lamb; Claus Am Seidel; Shimon Weiss
Journal:  Elife       Date:  2021-03-29       Impact factor: 8.140

6.  In Vivo Single-Molecule Detection of Nanoparticles for Multiphoton Fluorescence Correlation Spectroscopy to Quantify Cerebral Blood Flow.

Authors:  Xu Fu; Pradoldej Sompol; Jason A Brandon; Christopher M Norris; Thomas Wilkop; Lance A Johnson; Christopher I Richards
Journal:  Nano Lett       Date:  2020-07-08       Impact factor: 12.262

  6 in total

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