Cd2+ and temperature dual-parameter optical fiber chemical sensing system in water environment
By coating a magnetic MOF-cadmium ion imprinted polymer onto an optical fiber sensing unit and combining it with residual neural network demodulation, the problems of expensive, complex instruments and interference from coexisting ions in existing cadmium ion detection technologies are solved. This achieves dual-parameter detection of cadmium ions with high sensitivity and rapid response, making it suitable for online monitoring of complex aquatic environments.
Patent Information
- Application Number
- CN202610755236.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-28
- Publication Date
- 2026-08-28
AI Technical Summary
Existing cadmium ion detection methods suffer from problems such as expensive and bulky instruments, long detection cycles, complex operation, cumbersome sample pretreatment, and susceptibility to interference from coexisting ions in complex aquatic environments. These methods are difficult to implement for rapid and accurate cadmium ion detection, especially in the event of sudden water pollution incidents, and cannot meet the needs for rapid response and continuous online monitoring.
A self-emission light source and a fiber optic sensing unit coated with magnetic MOF-cadmium ion imprinted polymer are used, combined with a residual neural network demodulation module. The dual-parameter detection of cadmium ion concentration and temperature is achieved through a spectrometer and a photoelectric detection module. The high specific surface area and ordered pore structure of MOF material are used to enhance the specific recognition ability of cadmium ions, and the coupling effect of cadmium ion concentration and temperature is separated by a residual neural network.
It achieves high sensitivity, rapid response and high precision detection of cadmium ions, and can effectively separate the coupling effect of cadmium ion concentration and temperature in complex water environments, improving the measurement accuracy and robustness of the sensor and adapting to online monitoring in variable temperature environments.