Toward a SERS Diagnostic Tool for Discrimination between Cancerous and Normal Bladder Tissues via Analysis of the Extracellular Fluid.
Edvinas ZacharovasMartynas VeličkaGediminas PlatkevičiusAlbertas ČekauskasAru Nas ŽelvysGediminas NiauraValdas ŠablinskasPublished in: ACS omega (2022)
Vibrational spectroscopy provides the possibility for sensitive and precise detection of chemical changes in biomolecules due to development of cancers. In this work, label-free near-infrared surface enhanced Raman spectroscopy (SERS) was applied for the differentiation between cancerous and normal human bladder tissues via analysis of the extracellular fluid of the tissue. Specific cancer-related SERS marker bands were identified by using a 1064 nm excitation wavelength. The prominent spectral marker band was found to be located near 1052 cm -1 and was assigned to the C-C, C-O, and C-N stretching vibrations of lactic acid and/or cysteine molecules. The correct identification of 80% of samples is achieved with even limited data set and could be further improved. The further development of such a detection method could be implemented in clinical practice for the aid of surgeons in determining of boundaries of malignant tumors during the surgery.
Keyphrases
- label free
- raman spectroscopy
- lactic acid
- clinical practice
- spinal cord injury
- gene expression
- endothelial cells
- minimally invasive
- high resolution
- gold nanoparticles
- optical coherence tomography
- coronary artery bypass
- electronic health record
- energy transfer
- big data
- sensitive detection
- single molecule
- machine learning
- atrial fibrillation
- quality improvement
- induced pluripotent stem cells
- fluorescent probe
- urinary tract
- living cells
- coronary artery disease
- real time pcr
- magnetic resonance
- deep learning
- acute coronary syndrome
- artificial intelligence
- bioinformatics analysis
- quantum dots
- dual energy