Bekzod Khakimov

Bekzod Khakimov

Associate Professor

Primary fields of research

My research focuses on assessment of food quality and nutritional value. I am interested in discovering food molecular composition (foodomics) and its impacts on human health through untargeted molecular screening of bio-fluids (metabolomics). To improve molecular screening methods my team works towards (1) optimization of standard operating procedures, (2) development of new (efficient) algorithms for processing raw instrumental data to generate informative metabolite data, and (3) extraction of information from complex omics data using multivariate data analysis (chemometrics). Three types of analytical techniques I use include high resolution liquid state NMR spectroscopy, GC-Tof-MS and LC-QTof-MS. More information can be found at

Selected publications

  1. Published

    Human blood lipoprotein predictions from 1H NMR spectra: Protocol, model performances, and cage of covariance

    Khakimov, Bekzod, Hoefsloot, H. C. J., Mobaraki, N., Aru, Violetta, Kristensen, M., Lind, M. V., Holm, L., Castro-Mejía, J. L., Nielsen, Dennis Sandris, Jacobs, D. M., Smilde, Age Klaas & Engelsen, Søren Balling, 2022, In: Analytical Chemistry. 94, 2, p. 628-636 9 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Published

    Non-volatile molecular composition and discrimination of single grape white of chardonnay, riesling, sauvignon blanc and silvaner using untargeted GC–MS analysis

    Khakimov, Bekzod, Bakhytkyzy, I., Fauhl-Hassek, C. & Engelsen, Søren Balling, 2022, In: Food Chemistry. 369, 11 p., 130878.

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 21326016