Human blood test based on surface‐enhanced Raman spectroscopy technology using different excitation light for nasopharyngeal cancer detection

Abstract

Nasopharyngeal carcinoma (NPC), a kind of squamous cell carcinoma, occurs in the top and the side wall of nasopharyngeal, which harms human health and life. In this study, a novel blood test (SERS) was carried out for 30 NPC patients and 30 normal ones. Using multi-variate statistical analysis for spectral data, the diagnostic sensitivities of 89.3% (50/56) and 85.7% (48/56) can be achieved for 633 and 785 nm exciting wavelength, respectively. Also corresponding specificities are 71.4% (41/56) and 78.6% (44/56), respectively. These results demonstrated that the two kinds of excitation wavelength all have the feasibility of obtaining high-quality SERS spectra to differentiate cancer from normal samples. Furthermore, the performance of the SERS test with 785 nm wavelength excitation is nearly equal to the SERS experimental effect under 633 nm wavelength excitation for NPC detection.

Mammalian cell and tissue imaging using Raman and coherent Raman microscopy

“…Nasopharyngeal carcinoma may also be detected in the blood with SERS. In this manner, accuracy, sensitivity, and specificity were found to be 84.4, 85.7, and 78.6%, respectively (Lin et al, 2019). At present, reliable blood tests for cancer are lacking in availability, accuracy, and breadth of application.…”

Clinical applications of infrared and Raman spectroscopy in the fields of cancer and infectious diseases

“…Accuracies of detection and classification of >85% were achieved for all categories. Lin et al [80] used a silver nanoparticle serum mixture to measure the SERS response to differentiate 30 nasopharyngeal carcinoma patients and 30 healthy volunteers. Diagnostic sensitivities of 89% and 86%, and corresponding specificities of 71% and 79%, were achieved, using either 785 or 633 nm, respectively.…”

Label‐free surface‐enhanced Raman spectroscopy detection of prostate cancer combined with multivariate statistical algorithm

“…It greatly increases the strength of the Raman signal by adsorbing the analyte to the surface of precious metal nanomaterials (such as gold and silver) that can produce a collective oscillation pattern and generate local surface plasma resonance under the excitation of the far‐field incident laser, which makes it has the ability of ultrasensitive detection of biomolecules and even single molecule level. [ 8 ] In addition, SERS has the advantages of resistance to fluorescence interference [ 9 ] and narrower spectral width allowing multi‐channel detection, [ 10 ] and so on. These advantages make SERS widely used in biomedicine, material chemistry, and archeology.…”

“…And SERS can be used together with multivariate analysis for rapid screening and diagnosis of cancer, which has great advantages over LC–MS/MS in field application. In recent years, SERS combined with multivariate analysis had successfully made great progress in the field of cancer detection, such as non‐invasive screening of pancreatic cancer, [ 18 ] nasopharyngeal cancer, [ 8 ] and colorectal cancer, [ 19 ] which shows that SERS technology has a great impact on the clinical detection of cancer. In the diagnosis and detection of PCa, Shao et al utilized expressed prostatic secretion (EPS) spectra based on SERS combined with principal component analysis (PCA) and linear discriminant analysis (LDA) algorithm, which initially classified PCa and benign prostatic hyperplasia (BPH) with an accuracy of 75%.…”