Predictive maintenance system for membrane replacement time detection using AI-based functional profile monitoring: Application to a full-scale MBR plant

Toward microfluidic continuous-flow and intelligent downstream processing of biopharmaceuticals

“…Furthermore, advanced AI algorithms, such as recurrent neural networks (RNNs), can predict and mitigate membrane fouling by analyzing historical data and real-time measurements. When the system detects early signs of fouling, it can initiate backflushing or adjust the flow rates to mitigate fouling effects, 158 ultimately extending the run time, and improving the overall efficiency of the TFF process. In terms of differential centrifugation, self-driving systems can dynamically adjust the rotor speed, temperature, and centrifugation time to achieve precise fractionation.…”

Membrane Life Cycle Management: An Exciting Opportunity for Advancing the Sustainability Features of Membrane Separations

“…Membrane modules constitute a part of the operating costs for any industrial membrane-based separation process. However, the absolute values and the share of the total cost can be very different depending on the specific membrane application, in particular depending on the value of the product of the separation and the mode of operation (e.g., continuous long-term or multiple-use vs short-term or single-use). − …”