Imperial College London


Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Research Associate



p.takis Website




Institute of Reproductive and Developmental BiologyHammersmith Campus





I am a postdoctoral research associate at the National Phenome Centre in the section of Bioanalytical Chemistry. My research interests focus on all aspects of NMR spectroscopy and its application to bio-analytical and metabolomics studies along with basic handling of mass spectrometry metabolomics data. Currently, I am working and interested in the development of NMR-based bio- chem- informatics software based upon signal processing etc. for the deconvolution of complex mixtures such as biofluids, aiming at the rapid assignment and quantification of diagnostic and prognostic markers for disease risk and personalized medicine. 

For more details about my work on NMR spectroscopy/computational developments for biophysics, metabolomics and bioanalytical chemistry research, see the publication, software and patent list below.

selected publications

  • Takis, P. G.*, Jimenez, B., Sands, C.J., Chekmeneva, E., Lewis. M.R. (2020) ‘SMolESY: an efficient and quantitative alternative to on-instrument macromolecular 1H-NMR signals suppression’, Chemical Science  ( 
  • Takis, P. G., Ghini, V., Tenori, L., Turano, P., Luchinat, C. (2019) ‘Uniqueness of the NMR approach to metabolomics’, Trends in Analytical Chemistry (TrAC), 120, 115300 (
  • Vignoli, A., Ghini, V., Meoni, G., Licari, C., Takis, P. G., Tenori, L., Turano, P., Luchinat, C. (2018) ‘High-throughput metabolomics by 1D NMR’, Angewandte Chemie Int. Ed., 58, 968-994 (
  • Takis, P. G., Schäfer, H., Spraul, M., Luchinat, C. (2017) ‘Deconvoluting interrelationships between chemical shifts and concentrations in complex mixtures: a powerful biofluid analysis tool’, Nature Communications, 8, 1662 (

    Highlighted in Chemistry World:



Donisi G, Barbagallo M, Capretti G, et al., 2020, Isolation of proximal fluids to investigate the tumor microenvironment of pancreatic adenocarcinoma, Journal of Visualized Experiments, Vol:165, ISSN:1940-087X, Pages:1-15

Musio B, Ragone R, Todisco S, et al., 2020, A community-built calibration system: The case study of quantification of metabolites in grape juice by qNMR spectroscopy, Talanta, Vol:214, ISSN:0039-9140

Takis P, Jimenez B, Sands C, et al., 2020, SMolESY: An efficient and quantitative alternative to on-instrument macromolecular ¹H-NMR signal suppression, Chemical Science, Vol:11, ISSN:2041-6520, Pages:6000-6011

Cortese N, Capretti G, Barbagallo M, et al., 2020, Metabolome of Pancreatic Juice Delineates Distinct Clinical Profiles of Pancreatic Cancer and Reveals a Link between Glucose Metabolism and PD-1(+) Cells, Cancer Immunology Research, Vol:8, ISSN:2326-6066, Pages:493-505


Takis P, 2020, SMolESY_platform

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