Tunicates—marine chordates with a unique biology—are the only known animals capable of biosynthesizing cellulose. They produce nearly pure Iβ crystalline fibrils with outstanding properties: high crystallinity (up to 100%), long aspect ratio (length 100 nm–2 μm, width ~10–30 nm), and minimal impurities. This rare form of cellulose is an ideal precursor for next-generation nanomaterials.
Our focus is on the critical homogenization stage—where raw potential becomes functional performance. Using state-of-the-art high-pressure homogenizers, we mechanically defibrillate purified tunicate cellulose into nanocellulose pulp. This process avoids harsh chemicals, preserving the natural high crystallinity and producing individualized nanofibrils with excellent strength, surface area, and uniformity making it ideal for use in barrier films, high-strength composites, biomedical devices, electronics substrates, and beyond. Unlike chemical methods that risk fiber degradation or toxic byproducts, GEA homogenization technology maintains structural integrity while enhancing fibrillation. This makes it not only cleaner and safer, but also highly energy-efficient. The result is a sustainable, high-performance nanomaterial suitable for a broad range of applications.
Our machines are purpose-engineered for nanocellulose processing. Through years of development, we've fine-tuned flow dynamics, homogenizing valve geometry, and pressure systems to deliver optimal fibrillation with minimal wear and downtime. Whether working with tunicate cellulose or other bio-based sources, our technology ensures consistent quality and scalability.
Environmentally, this process taps into underutilized marine biomass (including invasive species), supports ocean-based bioeconomy initiatives, and reduces dependency on land-based raw materials—all while minimizing chemical waste and aligning with circular economy principles. In short, GEA homogenization technology turns tunicate cellulose into a versatile, high-value nanomaterial.
This work was carried out with the support of WebTech, in collaboration with the University of São Paulo, and with the participation of Renato Damasio, PhD student at SUNY.