Your browser doesn't support javascript.
loading
SERS biosensors for liquid biopsy towards cancer diagnosis by detection of various circulating biomarkers: current progress and perspectives.
Lyu, Nana; Hassanzadeh-Barforoushi, Amin; Rey Gomez, Laura M; Zhang, Wei; Wang, Yuling.
Afiliação
  • Lyu N; School of Natural Sciences, Macquarie University, Sydney, NSW, 2109, Australia.
  • Hassanzadeh-Barforoushi A; School of Natural Sciences, Macquarie University, Sydney, NSW, 2109, Australia.
  • Rey Gomez LM; School of Natural Sciences, Macquarie University, Sydney, NSW, 2109, Australia.
  • Zhang W; School of Natural Sciences, Macquarie University, Sydney, NSW, 2109, Australia.
  • Wang Y; School of Natural Sciences, Macquarie University, Sydney, NSW, 2109, Australia. yuling.wang@mq.edu.au.
Nano Converg ; 11(1): 22, 2024 May 29.
Article em En | MEDLINE | ID: mdl-38811455
ABSTRACT
Liquid biopsy has emerged as a promising non-invasive strategy for cancer diagnosis, enabling the detection of various circulating biomarkers, including circulating tumor cells (CTCs), circulating tumor nucleic acids (ctNAs), circulating tumor-derived small extracellular vesicles (sEVs), and circulating proteins. Surface-enhanced Raman scattering (SERS) biosensors have revolutionized liquid biopsy by offering sensitive and specific detection methodologies for these biomarkers. This review comprehensively examines the application of SERS-based biosensors for identification and analysis of various circulating biomarkers including CTCs, ctNAs, sEVs and proteins in liquid biopsy for cancer diagnosis. The discussion encompasses a diverse range of SERS biosensor platforms, including label-free SERS assay, magnetic bead-based SERS assay, microfluidic device-based SERS system, and paper-based SERS assay, each demonstrating unique capabilities in enhancing the sensitivity and specificity for detection of liquid biopsy cancer biomarkers. This review critically assesses the strengths, limitations, and future directions of SERS biosensors in liquid biopsy for cancer diagnosis.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article