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Florencia Lezcano

Staff member publications

Bartolucci, Andrea, Fuentes, Judith, Guarnera, Daniele, Lezcano, Florencia, Crespo-Cuadrado, Maria, Guachi-Guachi, Lorena, Iacoponi, Francesco, Salvatori, Carlotta, Collu, Riccardo, Barbaro, Massimo, Lai, Stefano, Ricotti, Leonardo, Sanchez, Samuel, Vannozzi, Lorenzo, (2025). Monolithic Biohybrid Flexure Mechanism Actuated by Bioengineered Skeletal Muscle Tissue Advanced Intelligent Systems ,

Skeletal muscle tissue represents an attractive powering component for biohybrid robots, as traditional actuators used in the soft robotic context often rely on complex mechanisms and lack scalability at small dimensions. This article proposes a monolithic biohybrid flexure mechanism actuated by a bioengineered skeletal muscle tissue. The design leverages the contractile properties of a bioengineered skeletal muscle to produce a bending motion in a monolithic, tubular mechanism made of a soft and biocompatible silicone blend. This structure integrates two cylindrical pillars that facilitate force transmission from the bioengineered muscle tissue. Performance assessments reveal excellent contractile and stable behavior upon electrical stimulation, compared to current biohybrid actuation systems, with enhanced performance as the mechanism's internal and external diameters decrease. Finite-element simulations further reveal distinct force-displacement responses in mechanisms with different flexural rigidity. This innovative, scalable, and easy-to-fabricate design represents a significant step forward in the development of novel biohybrid machines.

JTD


Chen, Shuqin, Peetroons, Xander, Bakenecker, Anna C, Lezcano, Florencia, Aranson, Igor S, Sanchez, Samuel, (2024). Collective buoyancy-driven dynamics in swarming enzymatic nanomotors Nature Communications 15, 9315

Enzymatic nanomotors harvest kinetic energy through the catalysis of chemical fuels. When a drop containing nanomotors is placed in a fuel-rich environment, they assemble into ordered groups and exhibit intriguing collective behaviour akin to the bioconvection of aerobic microorganismal suspensions. This collective behaviour presents numerous advantages compared to individual nanomotors, including expanded coverage and prolonged propulsion duration. However, the physical mechanisms underlying the collective motion have yet to be fully elucidated. Our study investigates the formation of enzymatic swarms using experimental analysis and computational modelling. We show that the directional movement of enzymatic nanomotor swarms is due to their solutal buoyancy. We investigate various factors that impact the movement of nanomotor swarms, such as particle concentration, fuel concentration, fuel viscosity, and vertical confinement. We examine the effects of these factors on swarm self-organization to gain a deeper understanding. In addition, the urease catalysis reaction produces ammonia and carbon dioxide, accelerating the directional movement of active swarms in urea compared with passive ones in the same conditions. The numerical analysis agrees with the experimental findings. Our findings are crucial for the potential biomedical applications of enzymatic nanomotor swarms, ranging from enhanced diffusion in bio-fluids and targeted delivery to cancer therapy. Enzymatic nanomotors exhibit collective behaviour in fuel-rich environments, forming swarms with enhanced propulsion and coverage. This study investigates the factors affecting swarm movement, revealing that solutal buoyancy drives their motion, with potential biomedical applications like targeted drug delivery.

JTD Keywords: Ammonia, Behavior, Carbon dioxide, Catalysis, Computer simulation, Kinetics, Motion, Nanostructures, Powered nanomotors, Propulsion, Urease, Viscosity


Mahmood, Usama, Casula, Giulia, Llanos, Judith, Niosiline, Ignazio, Salvatori, Carlotta, Bartolucci, Andrea, Lezcano, Florencia, Crespo, Maria, Ricotti, Leonardo, Cosseddu, Piero, Guix, Maria, Vannozzi, Lorenzo, Sanchez, Samuel, Lai, Stefano, (2024). Integration of Organic Field-Effect Transistor-based strain sensors to soft robotic devices and systems 2024 Ieee International Flexible Electronics Technology Conference (Ifetc)

The integration of flexible organic electronics in soft robotic devices is a valuable way to enhance their functionality, towards augmented controllability and performance. Nonetheless, this field is generally unexplored. Here, we report a preliminary study on the integration of soft robotic components with Organic Field-Effect Transistor-based strain sensors. Such sensors will be tested as deformation transducer for bioengineered muscle tissues operating as biohybrid actuators. Moreover, the integration of ultra-flexible devices on catheter-like soft robotic supports is discussed.

JTD Keywords: Biohybrid actuators, Biohybrid machine, Catheters, Ofets, Strain sensors