ICRA 2012 Paper Abstract


Paper WeC01.3

Xu, Zhonghua (University of Tennessee, Knoxville), Lenaghan, Scott (MABE), Gilmore, David (Swan valley farms), Xia, Lijin (University of Tennessee, Knoxville), Zhang, Mingjun (University of Tennessee)

Automated High Throughput Scalable Green Nanomanufacturing for Naturally Occurring Nanoparticles Using English Ivy

Scheduled for presentation during the Regular Session "Micro/Nanoscale Automation II" (WeC01), Wednesday, May 16, 2012, 15:00−15:15, Meeting Room 1 (Mini-sota)

2012 IEEE International Conference on Robotics and Automation, May 14-18, 2012, RiverCentre, Saint Paul, Minnesota, USA

This information is tentative and subject to change. Compiled on July 20, 2018

Keywords Micro and Nanoscale Automation, Factory Automation, Automation in Life Sciences: Biotechnology, Pharmaceutical and Health Care


The discovery of novel nanomaterials, such as nanoparticles and nanofibers, is crucial to the expansion of the nanotechnology field. Of even greater importance, is the identification of nanomaterials that exist in nature and have low environmental toxicity when compared to man-made nanomaterials. In 2008, our group first discovered that ivy secretes nanoparticles for surface affixing. It was further demonstrated that these nanoparticles could be used for biomedical applications. This paper proposes an automated framework for high throughput scalable green nanomanufacturing of these naturally occurring nanoparticles. Several parameters necessary to optimize the growth of the ivy, including temperature, humidity, and light level, were regulated using feedback controls. Since the contact of ivy rootlets with a substrate is necessary to initiate the secretion of ivy adhesive, an electromechanical system was designed to automatically stimulate the rootlets to start the nanoparticle secretion process. The contact of ivy rootlets with a surface was formulated as a linear viscoelastic model and a speed control law was proposed for the actuator of the automated system. The proposed framework was verified through prototype experiments, and demonstrated promise for high throughput production of ivy nanoparticles.



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