While operando methods offer valuable insights, they also come with several challenges:
Instrumentation: Integrating analytical techniques with reaction setups can be technically demanding and expensive. Data Interpretation: The vast amount of data generated requires sophisticated analysis methods to extract meaningful information. Time Resolution: Capturing fast dynamic changes in catalysts requires high time-resolution techniques, which can be challenging to implement. Reproducibility: Ensuring that observations are reproducible under different conditions and setups is crucial for reliable conclusions.
