Miniaturisation of Biomedical Technologies and Improved Tests for Early Detection of Diseases
We have recently been working together with our collaborators in the Grootveld group, NHS Clinical Entrepreneur Scheme and Low Field NMR manufacturer, Magritek, for the early detection of metabolic conditions through Low field NMR. This has led to significant publicity in the press:
Pioneering technology for the detection of diseases arrives at DMU
Innovative technology could predict diabetes 10 years before diagnosis
EU Medical Group News Story
Quantum Leapers: Optically Detected Magnetic Resonance for the Early Detection of Breast Cancer
In partnership with Prof Mel Mather at the University of Nottingham, and collaborating with Dr Mangesh Thorat (QMUL, London), Prof Jacqui Shaw (University of Leicester) and Dr Vic James (University of Nottingham), the team are funded by a CRUK-EPSRC-STFC partnership to explore the use of small, portable diamond sensors in the early detection of breast cancer through liquid biopsy.
Science & Technologies Facilities Council Website
Towards Optically Efficient, Ambient Hyperpolarisation for Low Field NMR
This project funded by The Royal Society as a proof-of-principle seeks to better understand the possibilities of NMR hyperpolarisation by employing small defects in diamonds. Building on the strong collaborations with the group of Prof Mel Mather at the University of Nottingham, the team will test a number of proposed implementations for application to signal enhancement in low field NMR spectrometry.
NMR-based Metabolomics Approaches in the Assessment of Feed and Livestock Production
In collaboration with Dr Emily Burton at Nottingham Trent University, fluid samples from feeds and livestock are assessed to consider the effect of diet and environmental factors on production.
Computational Techniques for Analytical Chemistry & Bioanalysis: Royal Society of Chemistry Theoretical & Computational Series
Co-Edited by Dr Philippe Wilson and Prof Martin Grootveld, this work regroups chapters from international leaders in their field. An extract from the inside cover is included below.
"As analysis, in terms of detection limits and technological innovation, in chemical and biological fields has developed so computational techniques have advanced enabling greater understanding of the data. Indeed, it is now possible to simulate spectral data to an excellent level of accuracy, allowing chemist and biologists access to robust and reliable analytical methodologies both experimentally and theoretically.
This work will serve as a definitive overview of the field of computational simulation as applied to analytical chemistry and biology, drawing on recent advances as well as describing essential, established theory. Computational approaches provide additional depth to biochemical problems, as well as offering alternative explanations to atomic scale phenomena. Highlighting the innovative and wide-ranging breakthroughs made by leaders in computational spectrum prediction and the application of computational methodologies to analytical science, this book is for graduates and postgraduate researchers showing how computational analytical methods have become accessible across disciplines. Contributed chapters originate from a group of internationally-recognised leaders in the field, each applying computational techniques to develop our understanding of and supplement the data obtained from experimental analytical science."