Imperial College London


Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Visiting Professor of Chemistry applied to Medicine



j.lindon Website




Burlington DanesHammersmith Campus





Research Interests:

METABOLIC PHENOTYPING, Metabonomics, NMR spectroscopy, computational chemistry, multivariate statistics, drug metabolism, applications in biomedicine

  • Development of new NMR spectroscopic methods
  • Analysis of NMR spectra of biofluids in normal and abnormal situations
  • Magic-angle-spinning NMR of tissues
  • Metabolic phenotyping in health and disease
  • Novel metrics of metabolic chnages 
  • Identification of xenobiotic metabolites
  • Applications of directly coupled HPLC-NMR and HPLC-NMR-MS
  • Multivariate statistical approaches in metabolic phenotyping
  • Prediction of xenobiotic metabolism
  • Reactive drug metabolites 



Serrano-Contreras JI, Lindon JC, Frost G, et al., 2024, Implementation of pure shift 1 H NMR in metabolic phenotyping for structural information recovery of biofluid metabolites with complex spin systems, Nmr in Biomedicine, Vol:37, ISSN:0952-3480

Jaggard MKJ, Boulange CL, Graca G, et al., 2023, The effect of liquid-liquid extraction on metabolite detection and analysis using NMR spectroscopy in human synovial fluid, Journal of Pharmaceutical and Biomedical Analysis, Vol:226, ISSN:0731-7085

Harvey N, Takis PG, Lindon JC, et al., 2023, Optimization of diffusion-ordered NMR spectroscopy experiments for high-throughput automation in human metabolic phenotyping, Analytical Chemistry, Vol:95, ISSN:0003-2700, Pages:3147-3152

Masuda R, Lodge S, Whiley L, et al., 2022, Exploration of Human Serum Lipoprotein Supramolecular Phospholipids Using Statistical Heterospectroscopy in n-Dimensions (SHY-n): Identification of Potential Cardiovascular Risk Biomarkers Related to SARS-CoV-2 Infection., Anal Chem

Nitschke P, Lodge S, Kimhofer T, et al., 2022, J-edited dIffusional proton nuclear magnetic resonance spectroscopic measurement of glycoprotein and supramolecular phospholipid biomarkers of inflammation in human serum., Analytical Chemistry, Vol:94, ISSN:0003-2700, Pages:1333-1341

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