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Related Experiment Video

Updated: Nov 10, 2025

Luminescence Lifetime Imaging of O2 with a Frequency-Domain-Based Camera System

Luminescence Lifetime Imaging of O2 with a Frequency-Domain-Based Camera System

Published on: December 16, 2019

A Phosphorescence Quenching-Based Intelligent Dissolved Oxygen Sensor on an Optofluidic Platform.

Fang Wang^1,2, Longfei Chen¹, Jiaomeng Zhu^1,2

¹Key Laboratory of Artificial Micro- and Nano-Structures of Ministry of Education, School of Physics & Technology, Wuhan University, Wuhan 430070, China.

|April 3, 2021

Summary

A novel phosphorescence quenching sensor provides continuous dissolved oxygen (DO) monitoring. This intelligent optofluidic device offers accurate, real-time water quality analysis with a mobile app interface.

Keywords:

dissolved oxygen optofluidics phosphorescence quenching smartphone

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Area of Science:

Optofluidics
Chemical Sensing
Environmental Monitoring

Background:

Continuous dissolved oxygen (DO) measurement is critical for water quality and biomedical fields.
Existing methods may involve complex designs or lack real-time capabilities.
Optofluidic platforms offer potential for miniaturized and integrated sensing solutions.

Purpose of the Study:

To develop an intelligent dissolved oxygen sensor using phosphorescence quenching on an optofluidic platform.
To enable continuous, real-time, and accurate DO analysis.
To provide a user-friendly system integrated with mobile technology.

Main Methods:

Fabrication of a high-sensitivity DO-sensing membrane using platinum(II) meso-tetrakis(pentafluorophenyl)porphyrin (PtTFPP) on polydimethylsiloxane (PDMS) microfluidic channels.
Utilizing the Stern-Volmer model to determine oxygen concentration via its phosphorescence quenching effect.
Employing a photomultiplier (PMT) counter and a mobile application for phosphorescence intensity measurement and data analysis.

Main Results:

Achieved a low limit of detection (LOD) of 0.01 mg/L.
Demonstrated high sensitivity (16.9) and a rapid response time (22 s).
Successfully analyzed natural water samples with high accuracy, validating the sensor's performance.

Conclusions:

The developed optofluidic sensor offers a miniaturized, intelligent, and accurate platform for continuous dissolved oxygen monitoring.
Integration with mobile technology enhances usability for real-time analysis.
The sensor shows significant potential for various applications in water quality assessment and beyond.