Presentation Title

Novel Detection of Biomarkers of Pancreatic Cancer Using Microfluidics and Nonlinear Multi-Photon Laser Wave-Mixing Detector

Faculty Mentor

William Tong

Start Date

23-11-2019 8:00 AM

End Date

23-11-2019 8:45 AM

Location

181

Session

poster 1

Type of Presentation

Poster

Subject Area

health_nutrition_clinical_science

Abstract

We report sensitive detection of carbohydrate antigen 19-9 (CA 19-9) and carbohydrate antigen 242 (CA 242), the biomarkers of pancreatic cancer, using laser wave-mixing spectroscopy. Current detection methods require more time-consuming and complicated labeling steps. Our patented nonlinear laser wave-mixing methods offer significant advantages including label-free native detection, excellent sensitivity, small sample requirements, short optical path length, high spatial resolution and portable detector designs. The wave-mixing signal is generated when the two input beams are mixed inside the analyte and it can be collected with virtually 100% efficiency and maximum signal-to-noise ratio. The signal has a quadratic dependence on analyte concentration, and hence, small changes can be monitored more effectively. Since wave-mixing probe volume is small (nanoliter to picoliter), it is intrinsically suitable for microfluidics or capillary-based electrophoresis systems (e.g., 75 μm i.d. fused silica capillary). Different biomarkers can be immobilized on a custom 3D printed slide. Since wave mixing is an absorption-based method, both fluorophore and chromophore labels could be used, if desired. Excellent sensitivity levels for CA 19-9 are demonstrated using a Chromeo P503 tag and a 473 nm solid-state excitation laser. One can run a standard protein ladder to estimate capillary electrophoresis retention time for CA 19-9. The glass slides and microarrays used in these detection methods for early diagnosis of pancreatic cancer are custom 3D printed in our research lab.

Keywords: pancreatic cancer, biomarkers, label-free, small sample.

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Nov 23rd, 8:00 AM Nov 23rd, 8:45 AM

Novel Detection of Biomarkers of Pancreatic Cancer Using Microfluidics and Nonlinear Multi-Photon Laser Wave-Mixing Detector

181

We report sensitive detection of carbohydrate antigen 19-9 (CA 19-9) and carbohydrate antigen 242 (CA 242), the biomarkers of pancreatic cancer, using laser wave-mixing spectroscopy. Current detection methods require more time-consuming and complicated labeling steps. Our patented nonlinear laser wave-mixing methods offer significant advantages including label-free native detection, excellent sensitivity, small sample requirements, short optical path length, high spatial resolution and portable detector designs. The wave-mixing signal is generated when the two input beams are mixed inside the analyte and it can be collected with virtually 100% efficiency and maximum signal-to-noise ratio. The signal has a quadratic dependence on analyte concentration, and hence, small changes can be monitored more effectively. Since wave-mixing probe volume is small (nanoliter to picoliter), it is intrinsically suitable for microfluidics or capillary-based electrophoresis systems (e.g., 75 μm i.d. fused silica capillary). Different biomarkers can be immobilized on a custom 3D printed slide. Since wave mixing is an absorption-based method, both fluorophore and chromophore labels could be used, if desired. Excellent sensitivity levels for CA 19-9 are demonstrated using a Chromeo P503 tag and a 473 nm solid-state excitation laser. One can run a standard protein ladder to estimate capillary electrophoresis retention time for CA 19-9. The glass slides and microarrays used in these detection methods for early diagnosis of pancreatic cancer are custom 3D printed in our research lab.

Keywords: pancreatic cancer, biomarkers, label-free, small sample.