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High Sensitivity Extended Nano-Coulter Counter for Detection of Viral Particles and Extracellular Vesicles.
Vaidyanathan, Swarnagowri; Wijerathne, Harshani; Gamage, Sachindra S T; Shiri, Farhad; Zhao, Zheng; Choi, Junseo; Park, Sunggook; Witek, Malgorzata A; McKinney, Collin; Verber, Matthew; Hall, Adam R; Childers, Katie; McNickle, Taryn; Mog, Shalee; Yeh, Elaine; Godwin, Andrew K; Soper, Steven A.
Afiliação
  • Vaidyanathan S; Bioengineering Program, The University of Kansas, Lawrence, Kansas 66045, United States.
  • Wijerathne H; Center of BioModular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, Kansas 66045, United States.
  • Gamage SST; Department of Chemistry, The University of Kansas, Lawrence, Kansas 66045, United States.
  • Shiri F; Center of BioModular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, Kansas 66045, United States.
  • Zhao Z; Department of Chemistry, The University of Kansas, Lawrence, Kansas 66045, United States.
  • Choi J; Center of BioModular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, Kansas 66045, United States.
  • Park S; Department of Chemistry, The University of Kansas, Lawrence, Kansas 66045, United States.
  • Witek MA; Center of BioModular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, Kansas 66045, United States.
  • McKinney C; Bioengineering Program, The University of Kansas, Lawrence, Kansas 66045, United States.
  • Verber M; Center of BioModular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, Kansas 66045, United States.
  • Hall AR; Center of BioModular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, Kansas 66045, United States.
  • Childers K; Mechanical & Industrial Engineering Department, Louisiana State University, Baton Rouge, Louisiana 70803, United States.
  • McNickle T; Center of BioModular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, Kansas 66045, United States.
  • Mog S; Mechanical & Industrial Engineering Department, Louisiana State University, Baton Rouge, Louisiana 70803, United States.
  • Yeh E; Department of Chemistry, The University of Kansas, Lawrence, Kansas 66045, United States.
  • Godwin AK; Center of BioModular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, Kansas 66045, United States.
  • Soper SA; Department of Chemistry, University of North Carolina, Chapel Hill, North Carolina 27514, United States.
Anal Chem ; 95(26): 9892-9900, 2023 07 04.
Article em En | MEDLINE | ID: mdl-37336762
We present a chip-based extended nano-Coulter counter (XnCC) that can detect nanoparticles affinity-selected from biological samples with low concentration limit-of-detection that surpasses existing resistive pulse sensors by 2-3 orders of magnitude. The XnCC was engineered to contain 5 in-plane pores each with an effective diameter of 350 nm placed in parallel and can provide high detection efficiency for single particles translocating both hydrodynamically and electrokinetically through these pores. The XnCC was fabricated in cyclic olefin polymer (COP) via nanoinjection molding to allow for high-scale production. The concentration limit-of-detection of the XnCC was 5.5 × 103 particles/mL, which was a 1,100-fold improvement compared to a single in-plane pore device. The application examples of the XnCC included counting affinity selected SARS-CoV-2 viral particles from saliva samples using an aptamer and pillared microchip; the selection/XnCC assay could distinguish the COVID-19(+) saliva samples from those that were COVID-19(-). In the second example, ovarian cancer extracellular vesicles (EVs) were affinity selected using a pillared chip modified with a MUC16 monoclonal antibody. The affinity selection chip coupled with the XnCC was successful in discriminating between patients with high grade serous ovarian cancer and healthy donors using blood plasma as the input sample.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nanopartículas / Vesículas Extracelulares / COVID-19 Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nanopartículas / Vesículas Extracelulares / COVID-19 Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article