One of the main challenges in dealing with complex mixtures is the difficulty in isolating and identifying individual components. This complexity can lead to unpredictable behavior and make it hard to optimize reaction conditions. Additionally, side reactions and the formation of by-products can lower the selectivity and efficiency of the catalytic process. Advanced computational methods and machine learning techniques are increasingly being used to model these systems and predict their behavior.
