Nuno Alves
CDRSP-IPLeiria, Portugal
Keynote: J Material Sci Eng
One of the most exciting areas in recent years has been regenerative medicine in which failed or damaged body parts are grown from the patients own cells loaded in to a porous scaffold. The scaffold is placed in to a bioreactor to accelerate the proliferation of the cells and when the tissue is partly formed the complete assembly is implanted in to the patient. It is fair to say that apart from isolated cases the promise has not transformed in to reality as a consequence of the limited proliferation rates. In this work we explore the use of computer modelling to optimize the stimulation processes used in the bioreactor to deliver enhanced rates of proliferation. Currently, mechanical stimuli are used in most of the studies allowing to accelerate the growth of cells placed on the scaffold inside the bioreactor. Some in-vitro studies have shown promising results when mechanical, electrical and magnetic stimulation are used either isolated or combined. Therefore, it is important to understand the gain of using these three type of stimulation. In this talk we will present the work that has been done at the Center for Rapid and Sustainable Product Development, regarding new biomaterials and the development of 3D biofabrication equipment to produce and host these scaffolds. The main focus is on computer modelling. We introduce a finite element analysis approach used to optimise the design of a new bioreactor allowing mechanical stimulation. We present the numerical results of the application of electrical stimulation in a biocompatible scaffold. We have performed the optimisation of the application of electrical stimulation when different electrode montages are used. The results have allowed us to gain a valuable insight on the influence of the different stimulation parameters involved. This work is supported by the Funda?§?£o para a Ci?ªncia e a Tecnologia (FCT) through the Project references: UID/Multi/04044/2013; PAMI - ROTEIRO/0328/2013 (N?º 022158) and MATIS (CENTRO-01-0145-FEDER-000014 - 3362). Recent Publications 1. Paula Pascoal-Faria, Pedro Castelo Ferreira, Abhishek Datta and Nuno Alves (2018) Electrical stimulation optimization in bioreactors for tissue engineering applications. Advanced Materials Research in press. 2. Pedro Morou?§o, Sara Biscaia, T?¢nia Viana, Margarida Franco, C?¢ndida Mal?§a, Artur Mateus, Carla Moura, Frederico Ferreira, Geoffrey Mitchell and Nuno Alves (2016) Fabrication of Poly (ï¤-caprolactone) Scaffolds Reinforced with Cellulose Nanofibers, with and without the Addition of Hydroxyapatite Nanoparticles. BioMed research international, vol. 2016, 1596157. 3. R?ºben F. Pereira, Dino Freitas, Ana Tojeira, Henrique A. Almeida, Nuno Alves & Paulo J. B?¡rtolo (2013) Computer modelling and simulation of a bioreactor for tissue engineering, International Journal of Computer Integrated Manufacturing, 27:10, 946-959. 4. Sara Biscaia, Emilia Dabrowska, Ana Tojeira, Jo?£o Horta, Pedro Carreira, Pedro Morou?§o, Artur Mateus, Nuno Alves (2017 ) Development of heterogeneous structures with polycaprolactone-alginate using a new 3D printing systemBioMED?²eta: design and processing, Procedia Manufacturing, 12, 113-119. 5. Geoffrey R Mitchell, Marcos Domingos and Paulo B?¡rtolo (2012) Polymers, Biomanufacturing and Regenerative Medicine, Advanced Materials Research, 2012 55-5733-362008.
Nuno Alves is the Director of the Centre for Rapid and Sustainable Product Development (CDRSP), which is dedicated to the transformation of the manufacturing industry through the development and implementation of novel Additive Manufacturing (AM)/three/four-dimensional (3D/4D) printing technology. He is an Associate Professor on Computer Modelling and Simulation at the Polytechnic Institute of Leiria (PIL). His research interests are based on the development and exploitation of novel direct digital manufacturing systems, contributing for the new paradigm of the industry 4.0 (as recently named new industrial and societal revolution), mainely based on additive manufacturing/printing techniques, including computer-aided modelling and fabrication of complex multi-material 3D and 4D structures (with spatio-temporal varying properties) for both industrial and biomedical applications; Computer vision and photogrammetry; Biomimetics and bioinspiration (learn from nature); Tissue engineering; Mould design and polymer injection moulding; Rapid product development; and Circular economy.
Email:nuno.alves@ipleiria.pt
Journal of Material Sciences & Engineering received 3677 citations as per Google Scholar report