Label-free serum detection based on surface-enhanced Raman scattering for noninvasive screening of lung cancer

Hong Tao; QiYi Zhang; LuYun Xu; ShuYun Weng; Duo Lin; ShangYuan Feng

doi:10.1117/12.2686847

27 November 2023 Label-free serum detection based on surface-enhanced Raman scattering for noninvasive screening of lung cancer

Hong Tao, QiYi Zhang, LuYun Xu, ShuYun Weng, Duo Lin, ShangYuan Feng

Author Affiliations +

Proceedings Volume 12770, Optics in Health Care and Biomedical Optics XIII; 1277022 (2023) https://doi.org/10.1117/12.2686847
Event: SPIE/COS Photonics Asia, 2023, Beijing, China

Conference Poster

Abstract

Lung cancer is one of the most prevalent cancers in China and has the highest mortality rate. Early-stage lung cancer often presents as lung nodules, which lack specific clinical features and can be easily overlooked, resulting in late-stage diagnoses. Unfortunately, there is a lack of effective techniques for early detection of lung cancer. Surface-enhanced Raman spectroscopy (SERS) offers a fast, simple and non-invasive qualitative or quantitative analysis. Additionally, the weak Raman scattering signal of water makes SERS an ideal tool for studying biological samples in aqueous solutions. The objective of this study was to evaluate the feasibility of a SERS-based label-free nano-biosensor for distinguishing lung cancer patients from healthy volunteers. Herein, silver nanoparticles were directly mixed with human serum as SERS active nanostructures to enhance the Raman scattering signal, enabling high quality SERS spectra to be obtained from 50 lung cancer patients and 50 healthy volunteers. The results showed that the SERS spectral properties (spectral intensity) in the serum of lung cancer patients were significantly different from those of normal subjects due to biomolecular changes. High classification accuracy can be achieved using PCA-LDA diagnostic algorithms and machine learning techniques. This exploratory study demonstrates the great potential of the serum SERS method as a fast and convenient tool for lung cancer diagnosis and screening

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hong Tao, QiYi Zhang, LuYun Xu, ShuYun Weng, Duo Lin, and ShangYuan Feng "Label-free serum detection based on surface-enhanced Raman scattering for noninvasive screening of lung cancer", Proc. SPIE 12770, Optics in Health Care and Biomedical Optics XIII, 1277022 (27 November 2023); https://doi.org/10.1117/12.2686847

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