Literature DB >> 31312832

Mobile imaging platform for digital influenza virus counting.

Yoshihiro Minagawa1, Hiroshi Ueno1, Kazuhito V Tabata1, Hiroyuki Noji1.   

Abstract

Droplet-based digital bioassays enable highly sensitive and quantitative analysis of biomolecules, and are thought to be suitable for point-of-care diagnosis. However, digital bioassays generally require fluorescence microscopy for detection, which is too large for point-of-care testing. Here, we developed a simple smartphone-based mobile imaging platform for digital bioassays. The size of the mobile imaging platform was 23 × 10 × 7 cm (length × width × height). With this platform, a digital enzyme assay of bovine alkaline phosphatase was successfully completed. Digital influenza virus counting-based on a fluorogenic assay for neuraminidase activity of the virus-was also demonstrated. Distinct fluorescence spots derived from single virus particles were observed with the mobile imaging platform. The number of detected fluorescence spots showed good linearity against the virus titer, suggesting that high sensitivity and quantification were achieved, although the imaging with the mobile platform detected 60% of influenza virus particles that were identified with conventional fluorescence microscopy. The lower detection efficiency is due to its relatively lower signal-to-noise ratio than that found with conventional microscopes, and unavoidable intrinsic heterogeneity of neuraminidase activity among virus particles. Digital influenza virus counting with the mobile imaging platform still showed 100 times greater sensitivity than that with a commercial rapid influenza test kit. Virus detection of clinical samples was also successfully demonstrated, suggesting the potential to realize a highly sensitive point-of-care system for influenza virus detection with smartphones.

Entities:  

Mesh:

Year:  2019        PMID: 31312832     DOI: 10.1039/c9lc00370c

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


  5 in total

1.  Ultrasensitive Detection of Attomolar Protein Concentrations by Dropcast Single Molecule Assays.

Authors:  Connie Wu; Padric M Garden; David R Walt
Journal:  J Am Chem Soc       Date:  2020-06-30       Impact factor: 15.419

Review 2.  Virus Detection: From State-of-the-Art Laboratories to Smartphone-Based Point-of-Care Testing.

Authors:  Meng Xiao; Feng Tian; Xin Liu; Qiaoqiao Zhou; Jiangfei Pan; Zhaofan Luo; Mo Yang; Changqing Yi
Journal:  Adv Sci (Weinh)       Date:  2022-04-07       Impact factor: 17.521

3.  Femtomolar detection of SARS-CoV-2 via peptide beacons integrated on a miniaturized TIRF microscope.

Authors:  Soumya P Tripathy; Manvitha Ponnapati; Suhaas Bhat; Joseph Jacobson; Pranam Chatterjee
Journal:  Sci Adv       Date:  2022-08-24       Impact factor: 14.957

4.  Simultaneous detection of small molecules, proteins and microRNAs using single molecule arrays.

Authors:  Xu Wang; David R Walt
Journal:  Chem Sci       Date:  2020-07-08       Impact factor: 9.825

5.  Elucidation and control of low and high active populations of alkaline phosphatase molecules for quantitative digital bioassay.

Authors:  Hiroshi Ueno; Makoto Kato; Yoshihiro Minagawa; Yushi Hirose; Hiroyuki Noji
Journal:  Protein Sci       Date:  2021-06-09       Impact factor: 6.725

  5 in total

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