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Highly accurate and label-free discrimination of single cancer cell using a plasmonic oxide-based nanoprobe

journal contribution
posted on 2024-11-02, 19:07 authored by Baoyue Zhang, Pengju Yin, Yihong Hu, Crispin SzydzikCrispin Szydzik, Muhammad Waqas Khan, Kai Xu, Peter ThurgoodPeter Thurgood, Nasir MahmoodNasir Mahmood, Chaitali Dekiwadia, Sanjida Afrin, Yunyi Yang, Qijie Ma, Christopher McConvilleChristopher McConville, Khashayar Khoshmanesh, Arnan MitchellArnan Mitchell, Bo Hu, Sara BaratchiSara Baratchi, Jianzhen OuJianzhen Ou
The detection of cancer cells at the single-cell level enables many novel functionalities such as next-generation cancer prognosis and accurate cellular analysis. While surface-enhanced Raman spectroscopy (SERS) has been widely considered as an effective tool in a low-cost and label-free manner, however, it is challenging to discriminate single cancer cells with an accuracy above 90% mainly due to the poor biocompatibility of the noble-metal-based SERS agents. Here, we report a dual-functional nanoprobe based on dopant-driven plasmonic oxides, demonstrating a maximum accuracy above 90% in distinguishing single THP-1 cell from peripheral blood mononuclear cell (PBMC) and human embryonic kidney (HEK) 293 from human macrophage cell line U937 based on their SERS patterns. Furthermore, this nanoprobe can be triggered by the bio-redox response from individual cells towards stimuli, empowering another complementary colorimetric cell detection, approximately achieving the unity discrimination accuracy at a single-cell level. Our strategy could potentially enable the future accurate and low-cost detection of cancer cells from mixed cell samples.

Funding

ARC Centre of Excellence in Future Low Energy Electronics Technologies

Australian Research Council

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Australian Research Council

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A microfluidic approach to study the mechanobiology of ageing blood vessels

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History

Related Materials

  1. 1.
    DOI - Is published in 10.1016/j.bios.2021.113814
  2. 2.
    ISSN - Is published in 09565663

Journal

Biosensors and Bioelectronics

Volume

198

Number

113814

Start page

1

End page

10

Total pages

10

Publisher

Routledge

Place published

United Kingdom

Language

English

Copyright

© 2021 Elsevier B.V. All rights reserved.

Former Identifier

2006112938

Esploro creation date

2022-04-23

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