I am the Waters Senior Lecturer in Molecular Spectroscopy in the Department of Surgery and Cancer. I joined Imperial College in 2006 after working as a postdoctoral researcher at the Scripps Research Institute in La Jolla, CA. At Imperial College, I was initially a postdoctoral researcher for the Consortium for Metabonomic Toxicology (COMET) group.
My research focuses primarily on the development and application of novel mass spectrometry (MS) based techniques for metabolic phenotyping and on the fusion of mass spectrometric methods with chemometric analysis, which is currently a significant bottleneck in the analysis pipeline. Broadly, my research at Imperial College has involved the development, optimisation and application of UPLC-MS methodologies for the analysis of biological samples, largely in the context of metabolic phenotyping: serum, urine, tissue, amniotic fluid, and microdialysates. These developmental advances have resulted in shorter analysis times – and therefore higher sample throughput – key for large scale metabolic phenotyping studies. Peak detection and analytical reproducibility have been enhanced, improving metabolome coverage and the potential for biomarker identification and quantification.
I am applying these methods to biomedical research areas including toxicology, cardiovascular disease, neonatal disease and development, maternal exposures and effects on early childhood, and neurological diseases.
Want EJ, 2018, LC-MS Untargeted Analysis., Methods Mol Biol, Vol:1738, Pages:99-116
et al., 2018, Development of a novel UHPLC-MS/MS-based platform to quantify amines, amino acids and methylarginines for applications in human disease phenotyping, Scientific Reports, Vol:8, ISSN:2045-2322
et al., 2018, Metabolic perturbations associated with the consumption of a ketogenic medium-chain TAG diet in dogs with idiopathic epilepsy, British Journal of Nutrition, Vol:120, ISSN:0007-1145, Pages:484-490
et al., 2018, In Vitro Modeling of Bile Acid Processing by the Human Fecal Microbiota, Frontiers in Microbiology, Vol:9, ISSN:1664-302X
et al., 2017, Metabolomic profiling of amines in sepsis predicts changes in NOS canonical pathways, Plos One, Vol:12, ISSN:1932-6203