Detrending in the context of catalysis refers to the process of removing long-term trends from datasets to focus on the underlying patterns or cycles in the data. This is particularly useful in catalytic research where data might show trends due to external environmental factors, equipment aging, or changes in feedstock composition. By removing these trends, researchers can gain clearer insights into the actual performance and behavior of the catalyst.
