Alastair Campbell Ritchie
Mechanical, Materials and Manufacturing Engineering
The University of Nottingham
United Kingdom
Biography
Self Biography: I have developed a number of experimental bioreactors to test the response of mammalian cells to environmental factors, particularly to applied mechanical forces. These bioreactors incorporate high precision actuators to allow maximum control over the magnitude and frequency of stimulation. These bioreactors have been used to demonstrate the effect of mechanical force on smooth muscle cells of oesophageal origin, as well as on epithelial cells from the oesophagus. My research has demonstrated the link between over-stimulation and a stress avoidance response, and the induction of differentiation in cells by mechanical stimulation. Physiological and Biomechanical Modelling I am also active in research into the effects of technique on athletic performance, particularly in the sport of rowing, and am active in a collaboration with the Republic of Singapore Air Force researching into the causes and prevention of G-induced loss of consciousness.
Research Interest
A major hurdle to adoption of tissue engineered technologies is the cost of specialist biomaterials, growth factors, and cell expansion from biopsies. My current research aims to develop new biodegradable materials which can be produced repeatably with a sustainable regulatory route to market.
Publications
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WANG A, WILLIAMS RL, JAMBU N, PAXTON JZ, DAVIS ET, SNOW MA, CAMPBELL RA, JOHANSSON CB, DAVIS ET, SAMMONS RL, GROVER LM. Development of Tissue Engineered Ligaments with Titanium Spring Reinforcement RSC Advances: An international journal to further the chemical sciences. 2016:6, 98536-98544 .(2016).
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YANG Y, CAMPBELL RA, EVERITT N. Comparison of glutaraldehyde and procyanidin cross-linked scaffolds for soft tissue engineering Materials Science and Engineering C. 80(1), 263-270.(2017).
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MARINESCU A, SHARPLES S, CAMPBELL RA, SANCHEZ-LOPEZ T, MCDOWELL M, MORVAN H. Physiological Parameter Response to Variations in Mental Workload. Human Factors: The Journal of Personalization Research. (In Press.) .(2017).
