Literature DB >> 25070461

A novel picoliter droplet array for parallel real-time polymerase chain reaction based on double-inkjet printing.

Yingnan Sun1, Xiaoguang Zhou, Yude Yu.   

Abstract

We developed and characterized a novel picoliter droplet-in-oil array generated by a double-inkjet printing method on a uniform hydrophobic silicon chip specifically designed for quantitative polymerase chain reaction (qPCR) analysis. Double-inkjet printing was proposed to efficiently address the evaporation issues of picoliter droplets during array generation on a planar substrate without the assistance of a humidifier or glycerol. The method utilizes piezoelectric inkjet printing equipment to precisely eject a reagent droplet into an oil droplet, which had first been dispensed on a hydrophobic and oleophobic substrate. No evaporation, random movement, or cross-contamination was observed during array fabrication and thermal cycling. We demonstrated the feasibility and effectiveness of this novel double-inkjet method for real-time PCR analysis. This method can readily produce multivolume droplet-in-oil arrays with volume variations ranging from picoliters to nanoliters. This feature would be useful for simultaneous multivolume PCR experiments aimed at wide and tunable dynamic ranges. These double-inkjet-based picoliter droplet arrays may have potential for multiplexed applications that require isolated containers for single-cell cultures, single molecular enzymatic assays, or digital PCR and provide an alternative option for generating droplet arrays on planar substrates without chemical patterning.

Entities:  

Mesh:

Year:  2014        PMID: 25070461     DOI: 10.1039/c4lc00598h

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


  9 in total

1.  Piezoelectric-driven droplet impact printing with an interchangeable microfluidic cartridge.

Authors:  Baoqing Li; Jinzhen Fan; Jiannan Li; Jiaru Chu; Tingrui Pan
Journal:  Biomicrofluidics       Date:  2015-09-01       Impact factor: 2.800

2.  An open-pattern droplet-in-oil planar array for single cell analysis based on sequential inkjet printing technology.

Authors:  Chenyu Wang; Wenwen Liu; Manqing Tan; Hongbo Sun; Yude Yu
Journal:  Biomicrofluidics       Date:  2017-07-20       Impact factor: 2.800

3.  Counting Proteins in Single Cells with Addressable Droplet Microarrays.

Authors:  Stelios Chatzimichail; Pashiini Supramaniam; Oscar Ces; Ali Salehi-Reyhani
Journal:  J Vis Exp       Date:  2018-07-06       Impact factor: 1.355

4.  Spontaneous assembly of chemically encoded two-dimensional coacervate droplet arrays by acoustic wave patterning.

Authors:  Liangfei Tian; Nicolas Martin; Philip G Bassindale; Avinash J Patil; Mei Li; Adrian Barnes; Bruce W Drinkwater; Stephen Mann
Journal:  Nat Commun       Date:  2016-10-06       Impact factor: 14.919

Review 5.  The vision of point-of-care PCR tests for the COVID-19 pandemic and beyond.

Authors:  Hanliang Zhu; Haoqing Zhang; Sheng Ni; Marie Korabečná; Levent Yobas; Pavel Neuzil
Journal:  Trends Analyt Chem       Date:  2020-07-20       Impact factor: 14.908

6.  Wet-Etched Microchamber Array Digital PCR Chip for SARS-CoV-2 Virus and Ultra-Early Stage Lung Cancer Quantitative Detection.

Authors:  Yimeng Sun; Yaru Huang; Tong Qi; Qinghui Jin; Chunping Jia; Jianlong Zhao; Shilun Feng; Lijuan Liang
Journal:  ACS Omega       Date:  2022-01-07

7.  Facile and scalable tubing-free sample loading for droplet microfluidics.

Authors:  Fangchi Shao; Kuangwen Hsieh; Pengfei Zhang; Aniruddha M Kaushik; Tza-Huei Wang
Journal:  Sci Rep       Date:  2022-08-03       Impact factor: 4.996

8.  Picoliter Well Array Chip-Based Digital Recombinase Polymerase Amplification for Absolute Quantification of Nucleic Acids.

Authors:  Zhao Li; Yong Liu; Qingquan Wei; Yuanjie Liu; Wenwen Liu; Xuelian Zhang; Yude Yu
Journal:  PLoS One       Date:  2016-04-13       Impact factor: 3.240

9.  Generation of micro-droplet arrays by dip-coating of biphilic surfaces; the dependence of entrained droplet volume on withdrawal velocity.

Authors:  Nikolaj Kofoed Mandsberg; Ole Hansen; Rafael Taboryski
Journal:  Sci Rep       Date:  2017-10-06       Impact factor: 4.379

  9 in total

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