Baseline noise can significantly impact the interpretation of experimental data. For instance, high levels of noise can obscure small but significant changes in reaction rates, leading to erroneous conclusions about the efficacy of a catalyst. Hence, controlling and understanding baseline noise is crucial for precise data analysis and for the development of efficient catalytic processes.
