Literature DB >> 23590462

Microfluidic device for efficient airborne bacteria capture and enrichment.

Wenwen Jing1, Wang Zhao, Sixiu Liu, Lin Li, Chi-Tay Tsai, Xiaoyong Fan, Wenjuan Wu, Jingyan Li, Xin Yang, Guodong Sui.   

Abstract

Highly efficient capture and enrichment is always the key for rapid analysis of airborne pathogens. Herein we report a simple microfluidic device which is capable of fast and efficient airborne bacteria capture and enrichment. The device was validated with Escherichia coli (E. coli) and Mycobacterium smegmatis. The results showed that the efficiency can reach close to 100% in 9 min. Compared with the traditional sediment method, there is also great improvement with capture limit. In addition, various flow rate and channel lengths have been investigated to obtain the optimized condition. The high capture and enrichment might be due to the chaotic vortex flow created in the microfluidic channel by the staggered herringbone mixer (SHM) structure, which is also confirmed with flow dynamic mimicking. The device is fabricated from polydimethylsiloxane (PDMS), simple, cheap, and disposable, perfect for field application, especially in developing countries with very limited modern instruments.

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Year:  2013        PMID: 23590462     DOI: 10.1021/ac400590c

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  13 in total

Review 1.  Biomarker detection for disease diagnosis using cost-effective microfluidic platforms.

Authors:  Sharma T Sanjay; Guanglei Fu; Maowei Dou; Feng Xu; Rutao Liu; Hao Qi; XiuJun Li
Journal:  Analyst       Date:  2015-11-07       Impact factor: 4.616

2.  A novel microbead-based microfluidic device for rapid bacterial identification and antibiotic susceptibility testing.

Authors:  J He; X Mu; Z Guo; H Hao; C Zhang; Z Zhao; Q Wang
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2014-07-05       Impact factor: 3.267

3.  Rapid antibiotic susceptibility testing based on bacterial motion patterns with long short-term memory neural networks.

Authors:  Rafael Iriya; Wenwen Jing; Karan Syal; Manni Mo; Chao Chen; Hui Yu; Shelley E Haydel; Shaopeng Wang; Nongjian Tao
Journal:  IEEE Sens J       Date:  2020-01-17       Impact factor: 3.301

4.  Nanomaterials-Based Sensors for Respiratory Viral Detection: A Review.

Authors:  Gowhar A Naikoo; Tasbiha Awan; Israr Ul Hassan; Hiba Salim; Fareeha Arshad; Waqar Ahmed; Abdullah M Asiri; Ahsanulhaq Qurashi
Journal:  IEEE Sens J       Date:  2021-05-31       Impact factor: 4.325

5.  Rapid Capture and Analysis of Airborne Staphylococcus aureus in the Hospital Using a Microfluidic Chip.

Authors:  Xiran Jiang; Yingchao Liu; Qi Liu; Wenwen Jing; Kairong Qin; Guodong Sui
Journal:  Micromachines (Basel)       Date:  2016-09-15       Impact factor: 2.891

6.  Air pollution and airborne infection with mycobacterial bioaerosols: a potential attribution of soot.

Authors:  J Noda; S Tomizawa; K Takahashi; K Morimoto; S Mitarai
Journal:  Int J Environ Sci Technol (Tehran)       Date:  2021-02-21       Impact factor: 2.860

7.  The study of atmospheric ice-nucleating particles via microfluidically generated droplets.

Authors:  Mark D Tarn; Sebastien N F Sikora; Grace C E Porter; Daniel O'Sullivan; Mike Adams; Thomas F Whale; Alexander D Harrison; Jesús Vergara-Temprado; Theodore W Wilson; Jung-Uk Shim; Benjamin J Murray
Journal:  Microfluid Nanofluidics       Date:  2018-04-24       Impact factor: 2.529

8.  Development of an automated wet-cyclone system for rapid, continuous and enriched bioaerosol sampling and its application to real-time detection.

Authors:  Yu Sung Cho; Seung Chan Hong; Jeongan Choi; Jae Hee Jung
Journal:  Sens Actuators B Chem       Date:  2018-12-30       Impact factor: 7.460

9.  An integrated system of air sampling and simultaneous enrichment for rapid biosensing of airborne coronavirus and influenza virus.

Authors:  Hyeong Rae Kim; Sanggwon An; Jungho Hwang
Journal:  Biosens Bioelectron       Date:  2020-09-26       Impact factor: 10.618

Review 10.  Recent advancements in microfluidic chip biosensor detection of foodborne pathogenic bacteria: a review.

Authors:  Fang Mi; Cunming Hu; Ying Wang; Li Wang; Fei Peng; PengFei Geng; Ming Guan
Journal:  Anal Bioanal Chem       Date:  2022-01-21       Impact factor: 4.478

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