Anomalies are typically detected through careful observation and analysis of reaction data. Techniques such as spectroscopy, microscopy, and chromatography can be employed to identify unexpected products or intermediates. Computational models and simulations can also help predict and identify anomalies by comparing theoretical outcomes with experimental data.
