New method of lung cancer detection by saliva test using surface-enhanced Raman spectroscopy

Thoracic Cancer
Kun QianYi Zhang

Abstract

Surface-enhanced Raman spectroscopy (SERS) is a surface-sensitive technique that enhances Raman scattering by molecules adsorbed on nanostructures. The advantages of using SERS include high detection sensibility and fast analysis, thus it is a potentially promising tool for sensing metabolic cancer molecules in trace amounts. To explore this new method of lung cancer detection, we analyzed saliva samples from 61 lung cancer patients and 66 healthy controls. An SERS system and a nano-modified chip were used in this study. Statistics were analyzed using support vector machine (SVM) and random forest algorithms. The leave-one-out algorithm was used based on SVM results to analyze differences in saliva between lung cancer patients and controls. There was a significant difference between the saliva of patients with lung cancer and healthy controls using the Raman spectrum; the intensity of the spectral line in lung cancer patients was weaker than in controls and 12 characteristic peaks were detected. Saliva SERS peaks have been characterized to refer to tissues, body fluids, and biological standard Raman peaks, but it is difficult to identify molecules with current information. The sensitivity and specificity of Raman spectroscopy d...Continue Reading

References

Nov 6, 2003·International Journal of Cancer. Journal International Du Cancer·Zhiwei HuangHaishan Zeng
Mar 11, 2006·Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy·M Briget MaryV Ramakrishnan
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Jan 28, 2016·Thoracic Cancer·Rongshou ZhengWanqing Chen
Jun 13, 2016·Lasers in Medical Science·Enrique Vargas-ObietaJosé Luis González-Solís

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Citations

Sep 16, 2020·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Stéphane DerruauSandrine Lorimier
Oct 1, 2020·Chemical Society Reviews·Nicole M Ralbovsky, Igor K Lednev
Jan 28, 2021·Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy·Hugh J ByrneFiona M Lyng
Apr 16, 2021·Lasers in Medical Science·Zhang-Yan KeYan-Bei Zhang

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Methods Mentioned

BETA
Raman
urine sample collection
chip
chips

Software Mentioned

R Foundation for Statistical Computing
R
RamTracer

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