Here’s a breakdown of the key facts from the provided text, focusing on the new cortisol testing method:
Core innovation:
Smartphone-Enabled Cortisol testing: Researchers at UC Santa Cruz have developed a new method for measuring cortisol levels using a luminescent artificial sensor paired with a smartphone camera.
Artificial Biosensor: The sensor is a protein engineered using AI-based computational design (built “from scratch” rather than modifying existing proteins).It binds to cortisol, and this binding causes the sensor to emit light. The intensity of the light corresponds to the cortisol concentration. High Accuracy & Sensitivity: The method is more accurate and sensitive than existing cortisol testing methods. It can detect cortisol across the full range of levels crucial for human health.
Affordability & Accessibility: It eliminates the need for expensive lab equipment, making hormone monitoring more accessible for at-home or point-of-care testing.
How it Works:
- Sample Collection: Requires a small drop of blood or urine.
- Mixing: The sample is mixed with a solution containing the biosensor.
- Detection: A smartphone camera and app are used to measure the amount and color of light emitted by the sensor. Brighter emissions indicate higher cortisol levels.
Key Peopel & Institutions:
Andy Yeh: Assistant professor of biomolecular Engineering at UC Santa Cruz, lead developer of the sensor.
University of California,Santa Cruz: The institution where the research was conducted.
Potential Applications:
Point-of-Care Testing: Similar in format to rapid COVID-19 tests (“mix and read”).
At-Home Monitoring: Allows individuals to monitor their cortisol levels outside of a clinical setting.
Improved Diagnostics: Provides more precise hormone monitoring for a variety of health problems linked to cortisol disruptions.
Publication:
The research was published in the Journal of the American Chemical Society.
