
Often paints contain oils that bind together the components (pigments, fillers, etc) of the paint. Analysis of these oils requires derivatization, but which derivatization method is the best for a quantitative approach?
The work on this topic began with the need of our cultural heritage group to have a routine method for the determination of fatty acid composition of oils with gas chromatography (GC). The analysis of oils with GC requires derivatization and for this a wide variety of procedures have been applied. It turned out there are only few comparisons of derivatization methods in the literature and all are quite limited by scope. For that reason, it was decided to explore this important topic comprehensively and, importantly, in the terms of absolute (not relative) quantification.
A member of our group – PhD student Eliise Tammekivi – implemented four common and well-known derivatization procedures to perform the absolute quantification of fatty acids with GC-MS and GC-FID. The four compared derivatization methods were: (1) methylation with m-(-trifluoromethyl)phenyltrimethylammonium hydroxide (TMTFTH), (2) two-step derivatization with sodium ethoxide (NaOEt) and N,O-bis(trimethylsilyl)trifluoroacetamide (BSTFA), (3) two-step derivatization with KOH and BSTFA and (4) acid-catalyzed methylation (ACM).
This study has now been completed and the results have been published in the journal Analytical Methods by E. Tammekivi, S. Vahur, O. Kekišev, I. D. van der Werf, L. Toom, K. Herodes and I. Leito. In the publication, a comprehensive and wide-scale quantitative comparison of the four derivatization methods is presented. The results demonstrate that methylation with TMTFTH is the least work-intensive and most accurate derivatization method – both in terms of reproducibility and derivatization efficiency (yield). For further information see: Analytical Methods, 2019, 11, 3514 – 3522






The workshop was held with 13 oral presentations from established researchers, young scientists as well as industries. Together with 22 posters all presentations reflected the current and potential future developments related to methods validation. The workshop addressed the current status of analytical method validation in general and specifically validation of the non-targeted methods (i.e. ones where the analyte is not defined beforehand). With the speaker permissions, all presentations will shortly be available at the
Non-targeted methods are an especially noteworthy part of the programme, because their validation involves specific issues and their validation is significantly less developed than validation of targeted methods (i.e. the “normal” analytical methods, where the analyte is known beforehand). At the same time non-targeted methods are becoming increasingly important in environmental protection, food safety, different omics areas, etc. (Image on the right: Prof. Jon Benskin from Stockholm University presenting an introduction to non-targeted analysis)
Some example topics of the workshop: Validation of targeted methods: where are we? Validation of non-targeted methods – differences from targeted methods. Detection of a multitude of (unknown) components in complex samples: criteria for identification. Managing the huge amounts of complex data from non-targeted methods.
The workshop certaily had a significant educational value and we are pleased by the large number of student participants: altogether close to 50! The international master’s programmes 











