ArticleLasers in medical science2020
Surface-enhanced Raman spectroscopy (SERS) investigations of saliva for oral cancer diagnosis.
Article in Lasers in medical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Artificial Intelligence and Machine Learning Algorithms-Powered SERS Techniques for Early Theragnosis of Oral Squamous Cell Carcinoma.Journal of maxillofacial and oral surgery · 2025Article
- Review
- Preliminary Study for the Early Diagnosis of Osteoarthritis in Human Synovial Fluid Using ATR-FTIR Combined with Chemometrics.The archives of bone and joint surgery · 2025Article
- Article
- Understanding the Interaction of Röntgen Radiation Employed in Computed Tomography/Cone Beam Computed Tomography Investigations of the Oral Cavity by Means of Surface-Enhanced Raman Spectroscopy Analysis of Saliva.Sensors (Basel, Switzerland) · 2024Article
- Scientific Advances in Cancer Detection Using Raman Spectroscopy.Asian Pacific journal of cancer prevention : APJCP · 2024Review
- Advances in Raman spectroscopy for characterising oral cancer and oral potentially malignant disorders.Expert reviews in molecular medicine · 2024Review
- Flower-like Ag-decked non-stoichiometric BiRSC advances · 2024Article
- SERS sensing for cancer biomarker: Approaches and directions.Bioactive materials · 2024Review
- Cancer diagnosis using label-free SERS-based exosome analysis.Theranostics · 2024Review
- Review
- Label-Free SERS and MD Analysis of Biomarkers for Rapid Point-of-Care Sensors Detecting Head and Neck Cancer and Infections.Sensors (Basel, Switzerland) · 2023Article
- Developing New Diagnostic Tools Based on SERS Analysis of Filtered Salivary Samples for Oral Cancer Detection.International journal of molecular sciences · 2023Article
- A New Detection Method of Oral and Oropharyngeal Squamous Cell Carcinoma Based on Multivariate Analysis of Surface Enhanced Raman Spectra of Salivary Exosomes.Journal of personalized medicine · 2023Article
- Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques.Biosensors · 2023Review
- [Latest Research Findings on Health Management Based on Saliva Testing].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2022Review
- Label-Free Sensing with Metal Nanostructure-Based Surface-Enhanced Raman Spectroscopy for Cancer Diagnosis.ACS applied nano materials · 2022Review
- A non-invasive ultrasensitive diagnostic approach for COVID-19 infection using salivary label-free SERS fingerprinting and artificial intelligence.Journal of photochemistry and photobiology. B, Biology · 2022Article
- Gold nanomaterials for oral cancer diagnosis and therapy: Advances, challenges, and prospects.Materials today. Bio · 2022Article
- Review
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3 authors.
Funding
Abstract
Saliva could be an optimal sample for non-invasive cancer detection, as it contains plenty of proteins and metabolites which can reflect the health status of an individual. Moreover, pairing it with high-sensitivity, label-free detection techniques could prove successful for early cancer diagnosis. In this study, we explore the enhancement of salivary characteristic Raman bands by using label-free, ultrasensitive surface-enhanced Raman scattering (SERS) based on gold nanoparticles. SERS maps were acquired from dry samples of saliva supernatant mixed with Au colloidal nanoparticles, which was then pipetted on clean glass slides. The SERS spectra presented a high variability of signal intensities and frequency shifts. However, several reproducible SERS spectra showing well-resolved bands were obtained at certain locations on the maps, where Au nanoparticles clustered together during the air-drying. The healthy and oral cancer saliva could be differentiated using principal components analysis based on several SERS bands assigned mainly to amino acids and proteins. Moreover, thiocyanate Raman modes were detected in saliva samples of both smoking and non-smoking volunteers and cancer patients. The analysis indicated that the cancer group displayed an overall higher level of the 2126 cm
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