Article1 min read Sep 9, 2025Three Cascades Leaders Feature in 2025 Top 10 Under 40 listPulp and Paper Canada List recognizes leadership and innovation among young professionals
Video01:00:20 Jun 4, 2025Transitioning from micro to nano: unlocking the potential of cellulose nanomaterials WebinarThis comprehensive presentation explores advanced cellulose nanomaterial production through real-time monitoring and machine learning optimization. Marc Delgado-Aguilar demonstrates how tempo-mediated oxidation and enzymatic pretreatments can be monitored using NIR spectroscopy and chemometric modeling, enabling better process control. The research reveals optimal processing conditions for high-pressure homogenization, showing 1.5% consistency delivers maximum fibrillation yield while minimizing energy consumption. Advanced AI models including artificial neural networks and random forest algorithms successfully predict key properties like aspect ratio and yield of fibrillation from easily measurable process parameters. These breakthrough approaches address critical industry challenges in scaling cellulose nanofiber production, offering practical solutions for reducing processing costs, improving quality control, and accelerating time-to-market for sustainable nanomaterials applications across multiple industries.
