Development of portable Raman rapid analyzer for water pollution and its matching control analysis software

On-site rapid detection technology for water pollution is becoming one of the important techniques in water pollution detection due to its real-time, high-efficiency, and flexibility advantages, which are suitable for emergency response and on-site decision-making during sudden water pollution incidents. Spectroscopic rapid detection technology based on Raman scattering is becoming one of the most suitable techniques for on-site rapid detection of water pollution due to its advantages of not requiring sample pretreatment, fast measurement speed, and the ability to detect micro and trace components. The portable Raman rapid analyzer for water pollution developed by the project team consists of a fiber Raman probe, laser module, laser power control module, spectrometer, host computer, and lithium battery power system. The overall design of the instrument is a box, which is portable, safe, and stable, enabling on-site sampling and detection. For polycyclic aromatic hydrocarbons and organic phosphorus pesticides in the national standard, the detection limit of water pollutants can reach the ppm level, with an average detection time of less than 1 minute. The supporting software developed by the project team can perform preprocessing operations such as smoothing filtering and baseline correction on Raman spectra, facilitating on-site analysis and detection results for users. The software is connected to a database and allows users to add, delete, modify, and query data, making it convenient for users to establish or use the database to complete subsequent qualitative and quantitative analysis. The software has the function of establishing and saving standard curves, facilitating quantitative analysis of water pollutants by users. The software also has a integrated positioning function, where each spectral data comes with location and timestamp information to ensure data authenticity and traceability. Additionally, the software can connect to a cloud platform to complete remote data transmission and reception, enabling remote and online measurements.