On September 24, 2024, the 24th China International Industry Fair (hereinafter referred to as the "CIIF") opened at the National Exhibition and Convention Centre (Shanghai). The project developed by Academician Duan Ning's team from our institute, titled "Real-Time Monitoring Instrument for Original Valence, Original Morphology, and Original Phase States of Complex High-Concentration Solutions," won the highest honour of the event, the "CIIF Award."

Academician Duan Ning's team has made ground-breaking innovations in the fundamental theories of spectroscopy, component technology, and digitalization. These efforts have achieved a breakthrough in high-end pollution prevention instruments, progressing from concept to implementation ("0 to 1"). Experts have assessed the overall technology as internationally leading. The instrument is currently the only one in the world capable of completing real-time, second-level direct measurements of the original valence, morphology, and phase states of chemical species at high concentrations. It reduces the measurement time for industrial liquid component concentrations from 2–4 hours to just 6–8 seconds, achieving a detection concentration 100,000 times higher than the national standard with a relative error of less than 10%, all while generating zero secondary pollution.
Building on this foundation, the team has also developed advanced digitalization technology for in-depth analysis of microchemical processes. This technology enables comprehensive analysis of microscopic chemical information, real-time optimization of key process parameters, and full-cycle monitoring of pollutant formation and transformation processes. By improving resource conversion rates at the source, this innovation has found extensive applications in industries such as non-ferrous metallurgy and chemical dye production, reducing pollutants by 50–80%. It is poised to transform the current limitations of technologies like IoT, robotics, and artificial intelligence, which are unable to intervene in microchemical processes.