Post doctoral fellow




Eliise Tammekivi is a postdoctoral researcher in the Chromatography and Hyphenated Techniques team under the supervision of Dr. Karine Faure. Her research revolves around method development for the analysis of complex samples with two-dimensional chromatography (including liquid chromatography and supercritical fluid chromatography). She is involved in the National ANR-PRCE project Biopoliol (2022-2026): Bio-based polymers from lignin oligomers.


Before joining the Institute of Analytical Sciences in February 2022, Eliise Tammekivi was a researcher in the Chair of Analytical Chemistry at the University of Tartu, Estonia. At the University of Tartu, she obtained a PhD in 2021 and an MSc degree in 2017. Under the supervision of Prof. Ivo Leito and Dr. Signe Vahur, her research involved method development (GC-FID, GC-MS, Py-GC-MS, MALDI-FT-ICR-MS) for the analysis of fresh and aged binding materials (oils, waxes, resins, and their mixtures) found in cultural heritage objects. She also has extensive teaching experience from supervising laboratory experiments, organizing chemistry workshops and chemistry olympiads, and teaching at the Estonian University of Life Sciences.


Two-dimensional chromatography; mass spectrometry; analytical chemistry; liquid chromatography; supercritical fluid chromatography


Publications (other affiliations)
Tammekivi E, Ghiami-Shomami A, Tšepelevitš S, Trummal A, Ilisson M, Selberg S, Vahur S, Teearu A, Lõkov M, Peets P, Pagano T, Leito I. Experimental and Computational Study of Aminoacridines as MALDI(‒)-MS Matrix Materials for the Analysis of Complex Samples. Journal of the American Society for Mass Spectrometry 2021; 32 (4), 1080‒1095. DOI: 10.1021/jasms.1c00037.

Tammekivi E, Vahur S, Vilbaste M, Leito I. Quantitative GC-MS analysis of artificially aged paints with variable pigment and linseed oil ratios. Molecules 2021; 26 (8), 2218. DOI: 10.3390/molecules26082218.

Vilbaste M, Tammekivi E, Leito I. Uncertainty contribution of derivatization in gas chromatography/mass spectrometric analysis. Rapid Communications in Mass Spectrometry 2020; 34 (16), e8704. DOI: 10.1002/rcm.8704.

Tammekivi E, Vahur S, Kekišev O, van der Werf I D, Toom L, Herodes K, Leito I. Comparison of derivatization methods for the quantitative gas chromatographic analysis of oils. Analytical Methods 2019; 11 (28), 3514‒3522. DOI: 10.1039/c9ay00954j.