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Detection of circulating tumor cells based on improved SERS-active magnetic nanoparticles

Abstract

Cancer cells can shed into the vasculature from tumors and form circulating tumor cells (CTCs), which circulate in blood stream. Surface-enhanced Raman scattering (SERS) is a very suitable technology for CTC detection due to its high sensitivity. In this study, improved SERS-active magnetic nanoparticles were designed and constructed for CTC detection. Poly(ethyleneimine) (PEI)-stabilized superparamagnetic iron oxide nanoparticles (SPION-PEI) were synthesized by a solvothermal method. Negatively charged gold nanoparticles (AuNPs) were then self-assembled in-situ on the surface of SPION-PEI. The obtained SPION-PEI@AuNPs was modified with 4-mercaptobenzoic acid (MBA, a Raman reporter molecule) and FA-conjugated rBSA (rBSA-FA) via Au-S bonds resulting in composite nanoparticle SPION-PEI@AuNPs-MBA-rBSA-FA (SERS-active magnetic nanoparticles). SPION-PEI@AuNPs-MBA-rBSA-FA nanoparticles showed a good specificity to HeLa cells and the limit of detection (LOD) was 1 cell/mL in the blood, which is best among the reported values. A liner relationship between the concentration of cancer cells and the SERS intensity was utilized for quantitative measurement of CTCs. The SPION-PEI@AuNPs-MBA-rBSA-FA was released from the CTCs via culturing with excessive folic acid, and the released CTCs were further cultured for expansion and molecular phenotype analysis. The concentrations of CTC in the blood of two first-stage clinical patients with cervical cancer were measured to be 6 ± 2 cells/10 mL or 13 ± 5 cells/10 mL by our SERS-active magnetic nanoparticles.

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Supplementary files

Publication details

The article was received on 28 Mar 2019, accepted on 01 May 2019 and first published on 06 May 2019


Article type: Paper
DOI: 10.1039/C9AY00646J
Anal. Methods, 2019, Accepted Manuscript

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    Detection of circulating tumor cells based on improved SERS-active magnetic nanoparticles

    T. Xue, S. Wang, G. Ou, Y. Li, H. Ruan, Z. Li, Y. Ma, R. Zou, J. Qiu, Z. Shen and A. Wu, Anal. Methods, 2019, Accepted Manuscript , DOI: 10.1039/C9AY00646J

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