Multi‑length Scale Approach to Investigate Cleaning of Food‑Derived Deposits Adhered to Hard Surfaces: Mixtures of Starch, Whey Protein, and Lard Sáenz-Espinar, María José Arroyo-Camarena, Marina Vicaria Rivillas, José María Luzón González, Germán Ávila Sierra, Alejandro Milli-manipulation Cleaning-in-Place (CIP) system Starch Whey Lard Fouling Fouling, the accumulation of undesirable material on manufacturing equipment surfaces, poses a pervasive challenge in industrial processes. In the food industry, the complex interactions among these compounds can give rise to stubborn deposits that deviate from conventional cleaning protocols. In this work, the forces and removal mechanisms of model fouling agents composed of mixtures of starch, whey protein, and lard deposited on solid surfaces of relevant industrial interest (i.e. stainless steel, aluminium, and PTFE) are investigated using a multi-length scale approach, involving milli-manipulation and a lab-simulated Clean-In-Place (CIP) system. The forces involved in the removal process, the types of failure observed when the deposits are subjected to shear stress (adhesive, mixed, or cohesive), and the performance of the CIP system are systematically analysed as a function of the cleaning treatments applied. For stainless steel surfaces, alkaline treatment seems to facilitate the cleaning of lard and starch deposits, while the whey foulant removal tends to be more effective using hot water under the conditions tested. Hot water is effective for stainless steel and PTFE surfaces, reducing the mechanical shear stress required, while the alkaline treatment demonstrated superior efficacy for aluminium surfaces. These findings emphasise the importance of customising cleaning protocols for CIP optimisation. 2024-02-15T10:53:59Z 2024-02-15T10:53:59Z 2024-03 info:eu-repo/semantics/article https://hdl.handle.net/10481/89193 https://doi.org/10.1007/s11947-024-03330-2 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional Springer Nature