A key strength of the AqSO biorefinery are the highly tunable processing conditions, which enable high output versatility in terms of lignin composition, structure, and physicochemical properties. To make the biorefinery efficient and more profitable, the processing conditions must be optimized to ensure that the properties of the extracted lignin are ideal for the intended end-product. In general, optimizing a biomass valorization process is a difficult task since it requires knowledge of how the processing conditions relate to the product properties. The same issue is encountered during the development of new valorization approaches: learning the connection between processing conditions and product properties requires significant time and resources. In particular for valorization of lignin, the situation is further exacerbated by the complex chemical structure .