The optimization of synthesis methods is not without challenges. One major challenge is the complexity of the interactions between various parameters, which can make it difficult to identify the optimal conditions. Another challenge is the scalability of the optimized method, as conditions that work well on a laboratory scale may not be directly transferable to industrial scales. Additionally, the reproducibility of results can be an issue, particularly for methods that involve complex or sensitive steps.
