Cavity photothermal oscillation spectroscopy generation in an optofluidic microbubble resonator for multi-component...

Area of Science:

• Optofluidics
• Cavity Optomechanics
• Chemical Sensing

Background:

• Optofluidic whispering gallery mode microbubble cavities offer high Q-factors and small mode volumes for sensing.
• Traditional microcavity sensors detect analytes via mode shifts, broadening, or splitting due to refractive index changes.

Purpose of the Study:

• To develop a novel, high-precision detection method for anhydrous ethanol concentration in complex mixtures.
• To overcome the limitations of traditional mode-shift-based sensing mechanisms.

Main Methods:

• Integration of cavity photothermal oscillation spectroscopy with a deep neural network (DNN).
• Development of a hybrid technique for real-time detection.
• Application to sensing anhydrous ethanol in multi-component solutions.

Main Results:

• Achieved high-precision detection of anhydrous ethanol concentration, insensitive to mode shifts.
• Demonstrated a predicted accuracy of 0.992 within the 0-1% concentration range.
• Obtained a mean squared error of 5.29 × 10^-4.

Conclusions:

• The developed hybrid technique offers a robust and accurate method for chemical sensing.
• This approach advances optofluidic sensing capabilities for complex solutions.
• The method shows potential for real-time, high-precision analysis in various applications.