Mr. Wang, the R&D director of a certain new energy enterprise, once encountered a bottleneck in the research and development of photocatalytic water splitting hydrogen production materials: "The photocatalytic materials we developed demonstrated excellent catalytic efficiency in laboratory tests, but their performance significantly declined after scale-up production." Traditional testing equipment cannot conduct tests in an environment that simulates actual reactions, and thus cannot accurately trace the loss mechanism during the charge migration process, which makes it impossible for us to optimize the material structure in a targeted manner. Moreover, the repeatability of the test data is poor, and the deviation of experimental results from different batches exceeds 20%, which seriously affects the progress of research and development.
The multi-environment adaptability and high stability of Saifan Optoelectronics' surface photovoltage testing system have perfectly solved this problem. The system is equipped with customizable sample cells, supporting the testing of gas-liquid-solid multiphase reaction systems. It can accurately simulate the real environment such as aqueous solutions, inert gases, and reaction gases in photocatalytic reactions, ensuring that the test data is highly consistent with the actual application scenarios. Meanwhile, the system adopts the potentiostat linkage technology, which can synchronously apply bias voltage to regulate the surface charge state, and deeply explore the intrinsic relationship between charge migration and catalytic reactions. Equipped with self-developed signal amplification and noise reduction algorithms, the repeatability error of the test data is ≤3%, providing reliable data support for mechanism research.
"With Saifan's testing system, we finally found the root cause of the problem!" " Engineer Wang stated, "Through tests in a simulated reaction environment, we found that hydroxyl defects on the material surface can cause rapid recombination of photogenerated charges, which is the core reason for the performance degradation after scale-up production." Based on the charge migration path data provided by the system, we optimized the surface modification process of the material, successfully increasing the stability of catalytic efficiency by 60% and keeping the performance degradation rate after scale-up production within 5%. The multi-environment adaptation capability of the system enables us to conduct tests under conditions close to actual working conditions, significantly shortening the transformation cycle from laboratory research and development to industrial application.
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