DL-assisted Self-volume-calibrating Colorimetric PAAHM Sensors for Water Surveillance

Key Points

• This research aims to develop a colorimetric sensing platform for accurate detection of NH4+ in water using deep learning techniques.
• Developed colorimetric sensor based on sodium polyacrylate hydrogel microspheres.
• Integrated deep learning for self-volume calibration of the sensor.
• Conducted quantitative detection of NH4+ in water samples.
• Demonstrated effective calibration of sensor volume using deep learning.
• Achieved high sensitivity in NH4+ detection.
• Provided quantitative results supporting the accuracy of the system.