We report on fluorescence enhancement using a suspended core photonic crystal fiber (PCF) as an optofluidic platform. By employing metallic nanoparticles and an organic spacer, we achieved a thirty-fold signal enhancement of Cy5 dye at picomolar concentrations. The combination of fluorescence enhancement and PCF offers robustness, ease of use, and high sensitivity. This comprehensive study explores fluorescence enhancement using PCF, highlighting the significant enhancement achieved through metallic nanoparticles and organic spacers associated by the long length of light-analyte interactions offered by the PCF. These findings might contribute to the development of highly sensitive optical fiber-platforms for biomedical applications.
This conference presentation was prepared for the Optical Diagnostics and Sensing XXIII: Toward Point-of-Care Diagnostics conference at SPIE BiOS, 2023.
Breast cancer is the most common cancer worldwide. Mammography screening and biopsy procedures for abnormal mammograms are the gold standard detection method, however, it is invasive, time-consuming, and labor-intensive. RNA biomarkers in circulating blood may be an alternative to the gold standard. We have adopted a multi-modal approach using Fourier transform infrared (FTIR) spectroscopy and Raman spectroscopy that provides a complete characterization of RNA biomarker fingerprints in the full spectrum. We have measured 99 patients’ serum samples and achieved a higher accuracy, specificity, and sensitivity using the multi-modal approach combined with machine learning analysis than using the individual techniques alone.
We report a label-free Surface Enhanced Raman Spectroscopy (SERS) for pleural fluid analysis to distinguish Lung cancer from controls patients. Herein, we have used a novel silver coated silicon Nanopillar (SCSNP) as SERS substrate to acquire multiple SERS spectra for each pleural fluid sample and advanced chemometrics methods. We report a classification accuracy of 85% along with sensitivity and specificity of 87% and 83% respectively for the detection of Lung cancer over control pleural fluid samples with a receiver operating characteristics (ROC) area under curve value of 0.92 using PLS-DA binary classifier to distinguish between lung cancer over control subjects.
A flexible membrane based Surface-Enhanced Raman Spectroscopy (SERS) sensor was developed as a viable point-of-care platform to monitor changes of these surrogate indicators of healing status in chronic wounds, such as tumor necrosis factor alpha (TNFα) and matrix metalloproteinase (MMPs). In terms of performance, SERS approach is superior to enzyme-based assays, which are resource intensive. We demonstrated the efficiency of this flexible SERS platform for the sensitive detection of TNFα and MMP9 in the nM to pM range. These substrates may be incorporated into wound dressings to permit routine monitoring of wound status.
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