Microcavity Surface Bioconjugation Using Unilamellar Lipid Membranes for Label Free, Ultrasensitive Detection of Alzheimer's Biomarkers

Technology #ua19-073

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Erol Ozgur
Postdoctoral Research Associate III, Biomedical Engineering
Adley Gin
Graduate Student, Optical Sciences
Tsu-Te Su
Asst Research Prof, Optical Sciences
Phuong Diem Nguyen
Postdoctoral Research Associate I, Biomedical Engineering
Managed By
Amy Phillips
Sr. Licensing Manager (520) 621-9579

Title:  Microcavity Surface Bioconjugation Using Unilamellar Lipid Membranes



The present invention outlines a new way of preparing a microtoroid optical resonator for the purpose of detecting amyloid-β plaque. Traditional ways of surface functionalization leave roughness on the optical resonator, making it difficult to achieve a higher q-factor. The present invention provides a new way of smoothing the surface of a resonator so that ultrasensitive detection can be achieved, providing high q-factors as well as reduced scattering loss which is important when detecting key biomarkers such as amyloid-β.



Optical resonators are a key component of biosensors that are used in many different applications. However, the resonator has to have a smooth surface to allow the capture of light at different wavelengths. The ability of a resonator to capture light effectively is referred to as its q-factor (quality factor). Traditional ways of smoothing the surface of a resonator still leave too much residual roughness that leads to a lower q-factor, and thus less accurate detection of biomarkers.


*  Biomarker detection for healthcare diagnostics and drug development

*  Defense/security applications to detect explosives, chemical weapons, drugs

*  Environmental biosensors for air/water quality

*  Detection of disease in agricultural/food products


*  Achieves better surface smoothness for an optical resonator

*  Better q-factor, longer wavelengths

*  Better for the detection of biomarkers

*  Validated in Alzheimer use case

Contact:  Amy Phillips


Refer to case number UA19-073