Cold-water laundry detergents are gaining traction for their energy savings and environmental advantages.
Enzymes like proteases, lipases, amylases, and cellulases enhance cleaning in cold water, effectively breaking down stains. Traditional detergent ingredients struggle in cold water, but enzymes remain active, ensuring efficient stain removal.
To optimize cold-wash detergents, we utilize the C.L.E.A.N. approach, which streamlines formulation through automation and predictive tools. The five steps include clarifying challenges, limiting ingredient space, experimenting with formulations, analyzing interactions, and achieving optimized formulas.
Our experiments, guided by Design of Experiments (DoE) and Response Surface Modeling (RSM), focus on balancing performance, cost, and environmental impact. Results show that by using the C.L.E.A.N. approach a laundry detergent prototype can be formulated that is cost effective and has an outstanding performance at low temperature.
