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Highly accurate and label-free discrimination of single cancer cell using a plasmonic oxide-based nanoprobe.
Zhang, Bao Yue; Yin, Pengju; Hu, Yihong; Szydzik, Crispin; Khan, Muhammad Waqas; Xu, Kai; Thurgood, Peter; Mahmood, Nasir; Dekiwadia, Chaitali; Afrin, Sanjida; Yang, Yunyi; Ma, Qijie; McConville, Chris F; Khoshmanesh, Khashayar; Mitchell, Arnan; Hu, Bo; Baratchi, Sara; Ou, Jian Zhen.
Afiliação
  • Zhang BY; School of Engineering, RMIT University, Melbourne, Victoria, 3000, Australia. Electronic address: baoyue.zhang@rmit.edu.au.
  • Yin P; School of Mathematics and Physics, Hebei University of Engineering, Handan, 056038, China; School of Life Science and Technology, Xidian University, Xi'an, 710126, China.
  • Hu Y; School of Engineering, RMIT University, Melbourne, Victoria, 3000, Australia.
  • Szydzik C; School of Engineering, RMIT University, Melbourne, Victoria, 3000, Australia; The Australian Centre for Blood Diseases, Monash University, Melbourne, Victoria, 3004, Australia.
  • Khan MW; School of Engineering, RMIT University, Melbourne, Victoria, 3000, Australia; Manufacturing, CSIRO, Clayton, Victoria, 3168, Australia.
  • Xu K; School of Engineering, RMIT University, Melbourne, Victoria, 3000, Australia.
  • Thurgood P; School of Engineering, RMIT University, Melbourne, Victoria, 3000, Australia.
  • Mahmood N; School of Engineering, RMIT University, Melbourne, Victoria, 3000, Australia.
  • Dekiwadia C; RMIT Microscopy and Microanalysis Facility (RMMF), RMIT University, Melbourne, 3001, Australia.
  • Afrin S; School of Engineering, RMIT University, Melbourne, Victoria, 3000, Australia.
  • Yang Y; Faculty of Science, Engineering and Technology, Swinburne University of Technology, Hawthorn, VIC, 3122 Australia.
  • Ma Q; School of Engineering, RMIT University, Melbourne, Victoria, 3000, Australia.
  • McConville CF; Institute for Frontier Materials (IFM), Deakin University, Waurn Ponds, VIC, 3216, Australia.
  • Khoshmanesh K; School of Engineering, RMIT University, Melbourne, Victoria, 3000, Australia.
  • Mitchell A; School of Engineering, RMIT University, Melbourne, Victoria, 3000, Australia.
  • Hu B; School of Life Science and Technology, Xidian University, Xi'an, 710126, China.
  • Baratchi S; School of Health and Biomedical Sciences, RMIT University, Bundoora, VIC, 3083 Australia; Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia. Electronic address: sara.baratchi@rmit.edu.au.
  • Ou JZ; School of Engineering, RMIT University, Melbourne, Victoria, 3000, Australia. Electronic address: jianzhen.ou@rmit.edu.au.
Biosens Bioelectron ; 198: 113814, 2022 Feb 15.
Article em En | MEDLINE | ID: mdl-34823964
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas Biossensoriais / Nanopartículas Metálicas / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Biosens Bioelectron Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas Biossensoriais / Nanopartículas Metálicas / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Biosens Bioelectron Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2022 Tipo de documento: Article