Surface-enhanced Raman spectroscopy of blood serum based on gold nanoparticles for the diagnosis of the oral squamous cell carcinoma

Autor: Xianyang Luo, Lili Xue, Bing Yan, Ping Ji, Yingyun Tan, Yi Li
Rok vydání: 2017
Předmět:
Male
Pathology
Endocrinology
Diabetes and Metabolism
Clinical Biochemistry
Metal Nanoparticles
02 engineering and technology
Spectrum Analysis
Raman
0302 clinical medicine
Blood serum
Endocrinology
Diagnosis
Medicine
Surface-enhanced Raman spectroscopy (SERS)
lcsh:RC620-627
Early Detection of Cancer
Principal Component Analysis
Discriminant Analysis
Middle Aged
021001 nanoscience & nanotechnology
lcsh:Nutritional diseases. Deficiency diseases
Principal component analysis (PCA)
Colloidal gold
Head and Neck Neoplasms
030220 oncology & carcinogenesis
Carcinoma
Squamous Cell
Female
Mouth Neoplasms
0210 nano-technology
Algorithms
Adult
medicine.medical_specialty
China
Diagnostic methods
Sensitivity and Specificity
Diagnosis
Differential
03 medical and health sciences
Linear discriminant analysis(LDA)
Mucoepidermoid carcinoma
Humans
Basal cell
Aged
Biochemistry
medical
business.industry
Squamous Cell Carcinoma of Head and Neck
Research
Biochemistry (medical)
Cancer
Correction
Surface-enhanced Raman spectroscopy
medicine.disease
Serum samples
Oral squamous cell carcinoma (OSCC)
stomatognathic diseases
Carcinoma
Mucoepidermoid
Indicators and Reagents
Gold
business
Zdroj: Lipids in Health and Disease
Lipids in Health and Disease, Vol 16, Iss 1, Pp 1-9 (2017)
ISSN: 1476-511X
Popis: Background Oral squamous cell carcinoma (OSCC) is becoming more common across the globe. The prognosis of OSCC is largely dependent on the early detection. But the routine oral cavity examination may delay the diagnosis because the early oral malignant lesions may be clinically indistinguishable from benign or inflammatory diseases. In this study, the new diagnostic method is developed by using the surface enhanced Raman spectroscopy (SERS) to detect the serum samples from the cancer patients. Method The blood serum samples were collected from the OSCC patients, MEC patients and the volunteers without OSCC or MEC. Gold nanoparticles(NPs) were then mixed in the serum samples to obtain the high quality SERS spectra. There were totally 135 spectra of OSCC, 90 spectra of mucoepidermoid carcinoma (MEC) and 145 spectra of normal control group, which were captured by SERS successfully. Compared with the normal control group, the Raman spectral differences exhibited in the spectra of OSCC and MEC groups, which were assigned to the nucleic acids, proteins and lipids. Based on these spectral differences and features, the algorithms of principal component analysis(PCA) and linear discriminant analysis (LDA) were employed to analyze and classify the Raman spectra of different groups. Results Compared with the normal groups, the major increased peaks in the OSCC and MEC groups were assigned to the molecular structures of the nucleic acids and proteins. And these different major peaks between the OSCC and MEC groups were assigned to the special molecular structures of the carotenoids and lipids. The PCA-LDA results demonstrated that OSCC could be discriminated successfully from the normal control groups with a sensitivity of 80.7% and a specificity of 84.1%. The process of the cross validation proved the results analyzed by PCA-LDA were reliable. Conclusion The gold NPs were appropriate substances to capture the high-quality SERS spectra of the OSCC, MEC and normal serum samples. The results of this study confirm that SERS combined PCA-LDA had a giant capability to detect and diagnosis OSCC through the serum sample successfully.
Databáze: OpenAIRE
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