Literature DB >> 23830418

Analytical detection techniques for droplet microfluidics--a review.

Ying Zhu1, Qun Fang.   

Abstract

In the last decade, droplet-based microfluidics has undergone rapid progress in the fields of single-cell analysis, digital PCR, protein crystallization and high throughput screening. It has been proved to be a promising platform for performing chemical and biological experiments with ultra-small volumes (picoliter to nanoliter) and ultra-high throughput. The ability to analyze the content in droplet qualitatively and quantitatively is playing an increasing role in the development and application of droplet-based microfluidic systems. In this review, we summarized the analytical detection techniques used in droplet systems and discussed the advantage and disadvantage of each technique through its application. The analytical techniques mentioned in this paper include bright-field microscopy, fluorescence microscopy, laser induced fluorescence, Raman spectroscopy, electrochemistry, capillary electrophoresis, mass spectrometry, nuclear magnetic resonance spectroscopy, absorption detection, chemiluminescence, and sample pretreatment techniques. The importance of analytical detection techniques in enabling new applications is highlighted. We also discuss the future development direction of analytical detection techniques for droplet-based microfluidic systems.
Copyright © 2013 Elsevier B.V. All rights reserved.

Keywords:  Analytical detection technique; Capillary electrophoresis; Droplet-based microfluidics; Imaging; Mass spectrometry; Molecular spectroscopy

Mesh:

Year:  2013        PMID: 23830418     DOI: 10.1016/j.aca.2013.04.064

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  37 in total

Review 1.  Droplet microfluidics for high-sensitivity and high-throughput detection and screening of disease biomarkers.

Authors:  Aniruddha M Kaushik; Kuangwen Hsieh; Tza-Huei Wang
Journal:  Wiley Interdiscip Rev Nanomed Nanobiotechnol       Date:  2018-05-24

Review 2.  Microfluidics-to-mass spectrometry: a review of coupling methods and applications.

Authors:  Xue Wang; Lian Yi; Nikita Mukhitov; Adrian M Schrell; Raghuram Dhumpa; Michael G Roper
Journal:  J Chromatogr A       Date:  2014-10-23       Impact factor: 4.759

Review 3.  Development overview of Raman-activated cell sorting devoted to bacterial detection at single-cell level.

Authors:  Shuaishuai Yan; Jingxuan Qiu; Liang Guo; Dezhi Li; Dongpo Xu; Qing Liu
Journal:  Appl Microbiol Biotechnol       Date:  2021-01-22       Impact factor: 4.813

4.  A novel dual-well array chip for efficiently trapping single-cell in large isolated micro-well without complicated accessory equipment.

Authors:  Chenyu Wang; Wenwen Liu; Qingquan Wei; Lufeng Ren; Manqing Tan; Yude Yu
Journal:  Biomicrofluidics       Date:  2018-05-07       Impact factor: 2.800

5.  Mixing characterization of binary-coalesced droplets in microchannels using deep neural network.

Authors:  A Arjun; R R Ajith; S Kumar Ranjith
Journal:  Biomicrofluidics       Date:  2020-06-04       Impact factor: 2.800

6.  High-Throughput Nanoelectrospray Ionization-Mass Spectrometry Analysis of Microfluidic Droplet Samples.

Authors:  Daniel J Steyer; Robert T Kennedy
Journal:  Anal Chem       Date:  2019-05-03       Impact factor: 6.986

7.  Single Drop Electroanalysis and Interfacial Interactions: Sensitivity versus Limit of Detection.

Authors:  Charuksha Walgama; Matthew Gallman; Sadagopan Krishnan
Journal:  Electroanalysis       Date:  2016-07-19       Impact factor: 3.223

8.  Quantifying phenotypes in single cells using droplet microfluidics.

Authors:  Fengjiao Lyu; Lucas R Blauch; Sindy K Y Tang
Journal:  Methods Cell Biol       Date:  2018-10-25       Impact factor: 1.441

9.  Synthesis, structural characterization, electronic spectroscopy, and microfluidic detection of Cu(+2) and UO2(+2) [di-tert-butyl-salphenazine] complexes.

Authors:  B A Maynard; J C Brooks; E E Hardy; C J Easley; A E V Gorden
Journal:  Dalton Trans       Date:  2015-03-14       Impact factor: 4.390

10.  μdroPi: A Hand-Held Microfluidic Droplet Imager and Analyzer Built on Raspberry Pi.

Authors:  Meng Sun; Zhengda Li; Qiong Yang
Journal:  J Chem Educ       Date:  2019-03-22       Impact factor: 2.979

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