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Targeted Sub-Attomole Cancer Biomarker Detection Based on Phase Singularity 2D Nanomaterial-Enhanced Plasmonic Biosensor.
Wang, Yuye; Zeng, Shuwen; Crunteanu, Aurelian; Xie, Zhenming; Humbert, Georges; Ma, Libo; Wei, Yuanyuan; Brunel, Aude; Bessette, Barbara; Orlianges, Jean-Christophe; Lalloué, Fabrice; Schmidt, Oliver G; Yu, Nanfang; Ho, Ho-Pui.
Afiliação
  • Wang Y; Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, People's Republic of China.
  • Zeng S; CNRS, XLIM Research Institute, UMR 7252, University of Limoges, 123, Avenue Albert Thomas, Limoges, France.
  • Crunteanu A; CNRS, XLIM Research Institute, UMR 7252, University of Limoges, 123, Avenue Albert Thomas, Limoges, France. zeng@xlim.fr.
  • Xie Z; Department of Applied Physics and Applied Mathematics, Columbia University, New York City, NY, USA. zeng@xlim.fr.
  • Humbert G; CNRS, XLIM Research Institute, UMR 7252, University of Limoges, 123, Avenue Albert Thomas, Limoges, France.
  • Ma L; Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, People's Republic of China.
  • Wei Y; CNRS, XLIM Research Institute, UMR 7252, University of Limoges, 123, Avenue Albert Thomas, Limoges, France.
  • Brunel A; Institute for Integrative Nanosciences, IFW Dresden, Helmholtzstr. 20, Dresden, Germany.
  • Bessette B; Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, People's Republic of China.
  • Orlianges JC; Faculty of Medicine, University of Limoges, EA3842-CAPTuR, GEIST, 2 rue du Dr Marcland, Limoges, France.
  • Lalloué F; Faculty of Medicine, University of Limoges, EA3842-CAPTuR, GEIST, 2 rue du Dr Marcland, Limoges, France.
  • Schmidt OG; CNRS, XLIM Research Institute, UMR 7252, University of Limoges, 123, Avenue Albert Thomas, Limoges, France.
  • Yu N; Faculty of Medicine, University of Limoges, EA3842-CAPTuR, GEIST, 2 rue du Dr Marcland, Limoges, France.
  • Ho HP; Institute for Integrative Nanosciences, IFW Dresden, Helmholtzstr. 20, Dresden, Germany.
Nanomicro Lett ; 13(1): 96, 2021 Mar 22.
Article em En | MEDLINE | ID: mdl-34138312
ABSTRACT
HIGHLIGHTS A zero-reflection-induced phase singularity is achieved through precisely controlling the resonance characteristics using two-dimensional nanomaterials. An atomically thin nano-layer having a high absorption coefficient is exploited to enhance the zero-reflection dip, which has led to the subsequent phase singularity and thus a giant lateral position shift. We have improved the detection limit of low molecular weight molecules by more than three orders of magnitude compared to current state-of-art nanomaterial-enhanced plasmonic sensors. Detection of small cancer biomarkers with low molecular weight and a low concentration range has always been challenging yet urgent in many clinical applications such as diagnosing early-stage cancer, monitoring treatment and detecting relapse. Here, a highly enhanced plasmonic biosensor that can overcome this challenge is developed using atomically thin two-dimensional phase change nanomaterial. By precisely engineering the configuration with atomically thin materials, the phase singularity has been successfully achieved with a significantly enhanced lateral position shift effect. Based on our knowledge, it is the first experimental demonstration of a lateral position signal change > 340 µm at a sensing interface from all optical techniques. With this enhanced plasmonic effect, the detection limit has been experimentally demonstrated to be 10-15 mol L-1 for TNF-α cancer marker, which has been found in various human diseases including inflammatory diseases and different kinds of cancer. The as-reported novel integration of atomically thin Ge2Sb2Te5 with plasmonic substrate, which results in a phase singularity and thus a giant lateral position shift, enables the detection of cancer markers with low molecular weight at femtomolar level. These results will definitely hold promising potential in biomedical application and clinical diagnostics.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article