An integrated wearable microfluidic electrochemical/colorimetric intelligent sensing platform for comprehensive sweat...

Area of Science:

• Biomedical Engineering
• Materials Science
• Analytical Chemistry

Background:

• Flexible wearable devices are crucial for digital healthcare and personalized medicine, yet integrated platforms for comprehensive health monitoring are lacking.
• Existing technologies face challenges in providing multimodal output for dynamic health evaluation.

Purpose of the Study:

• To design and develop an integrated multifunctional flexible wearable platform for precise and dynamic monitoring of sweat composition and the skin microenvironment.
• To combine electrochemical and colorimetric sensing modalities for multimodal health assessment.

Main Methods:

• Fabrication of a platform with a CuS/PDA@MXene nanocomposites (NCs)-based electrochemical sensing layer and a hydrogel-embedded microfluidic/colorimetric sensing layer.
• Utilizing layer-by-layer assembly for microfluidic channels and colorimetric chips for pH, temperature, and UV intensity detection.
• Implementing a hybrid convolutional neural network-long short-term memory (CNN-LSTM) deep learning architecture for intelligent signal analysis.

Main Results:

• The electrochemical layer achieved sensitive detection of glucose, lactate, K+, and Na+ in sweat.
• The colorimetric layer provided dynamic visual mapping of pH, temperature, and UV intensity.
• The CNN-LSTM model enabled rapid signal capture and intelligent analysis of multimodal data.

Conclusions:

• The developed wearable system integrates intelligence and multimodal output for real-time health monitoring during exercise.
• This platform holds significant potential for personalized health monitoring and advancing digital medicine.