Label-free discrimination of glioma brain tumors in different stages by surface enhanced Raman scattering.

Abstract

According to the WHO classification criteria, the most common intracranial tumor gliomas can be divided into four grades based on their symptoms. Among them, Grade Ⅰ and Grade II are low-grade gliomas, and Grade III and Grade IV are high-grade gliomas. Because gliomas have a high lethal rate, they have received widespread attention in the medical field. Based on these circumstances, a rapid and facile surface enhanced Raman scattering (SERS) method using silver nano particle-decorated silver nanorod (AgNPs@AgNR) as substrates were developed for the discrimination of gliomas. Compared with SERS-active silver nanoparticles and silver nanorod substrates, the prepared AgNPs@AgNR substrates showed an outstanding SERS performance with an enhancement factor up to 1.37 × 109. Combined AgNPs@AgNR substrate with principal component analysis (PCA), we achieved rapid discrimination of healthy brain tissue and gliomas at different grades. The spectra obtained from the tissue illustrate prominently spectral differences which can be applied to identify whether it came from a healthy region or from a glioma. The most prominently difference between the SERS spectrum of healthy brain tissue and that of gliomas at different grades is the reduction in quotient of two characteristic peaks at 653 and 724 cm-1. Furthermore, healthy brain tissue and Grade II gliomas as low grade gliomas as well as Grade III and Grade IV as high-grade gliomas can be clearly distinguished by three-dimensional PCA. Preliminary results indicate that the SERS spectra based on AgNPs@AgNR substrates can be applied for a rapid identification owing to its simple preparation of specimen and high-speed spectral acquirement.

• Authors: Jingwen Li, Chengde Wang, Yue Yao, Yali Zhu, Changchun Yan, Qichuan Zhuge, Lulu Qu, Caiqin Han
• Journal: Talanta (Talanta) Vol. 216 Pg. 120983 (Aug 15 2020) ISSN: 1873-3573 [Electronic] Netherlands
• PMID: 32456910 (Publication Type: Journal Article)
• Copyright: Copyright © 2020 Elsevier B.V. All rights reserved.

Chemical References

• Silver

Topics

• Brain Neoplasms (diagnosis)
• Glioma (diagnosis)
• Humans
• Metal Nanoparticles (chemistry)
• Particle Size
• Silver (chemistry)
• Spectrum Analysis, Raman
• Surface Properties