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Fiber optic interferometric immunosensor based on polydimethilsiloxane (PDMS) and bioactive lipids.
Mildred S Cano-Velázquez1, Luz M López-Marín2, Juan Hernández-Cordero1
1Instituto de Investigaciones en Materiales, Universidad Nacional Autónoma de México, Ciudad Universitaria, 04510, Ciudad de México, Mexico.
Biomedical Optics Express
|March 25, 2020
Summary
We developed simple optical fiber immunosensors using polydimethylsiloxane (PDMS) to detect tuberculosis antibodies. These reusable sensors offer real-time, label-free detection, showing promise for lipidomic analysis.
Area of Science:
- Biomedical Engineering
- Optical Sensing
- Immunotechnology
Background:
- Tuberculosis diagnosis requires sensitive and specific detection methods.
- Lipid-based antigens are crucial for identifying specific immune responses.
- Optical fiber sensors offer potential for rapid, label-free biosensing.
Purpose of the Study:
- To develop and characterize novel optical fiber immunosensors for tuberculosis diagnosis.
- To utilize polydimethylsiloxane (PDMS) as a support for bioactive lipids in a Fabry-Perot interferometer (F-P) sensor.
- To demonstrate the sensor's capability in detecting antibodies against Mycobacterium fortuitum antigens.
Main Methods:
- Fabrication of PDMS end-capped Fabry-Perot interferometer optical fiber sensors via dip-coating.
- Functionalization of PDMS caps with a lipid antigen cocktail from Mycobacterium fortuitum.
- Immersion of functionalized sensors in antibody-containing sera to monitor spectral changes.
- Label-free, real-time detection and analysis of antibody-lipid interactions.
Main Results:
- Successful fabrication of PDMS-based F-P immunosensors.
- Demonstrated differentiation of antibody-containing sera based on spectral changes.
- Confirmed label-free and real-time detection capabilities.
- Showcased sensor reusability.
Conclusions:
- The developed PDMS-capped F-P immunosensors are effective for detecting tuberculosis-related antibodies.
- The sensors offer a simple, reusable, and label-free platform for biosensing.
- This technique holds significant potential for advancing lipidomic analytical tools and diagnostics.
