ORIGINAL RESEARCH published: 31 January 2020 doi: 10.3389/fpls.2019.01788 Combining Chemical Information From Grass Pollen in Multimodal Characterization Sabrina Diehn 1,2, Boris Zimmermann 3, Valeria Tafintseva 3, Stephan Seifert 1,2, Murat Bag˘ cıog˘ lu 3, Mikael Ohlson 4, Steffen Weidner 2, Siri Fjellheim 5, Achim Kohler 3,6 and Janina Kneipp 1,2* 1 Department of Chemistry, Humboldt-Universität zu Berlin, Berlin, Germany, 2 BAM Federal Institute for Materials Research and Testing, Berlin, Germany, 3 Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway, 4 Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway, 5 Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway, 6 Nofima AS, Ås, Norway Edited by: Lisbeth Garbrecht Thygesen, fi University of Copenhagen, The analysis of pollen chemical composition is important to many elds, including Denmark agriculture, plant physiology, ecology, allergology, and climate studies. Here, the Reviewed by: potential of a combination of different spectroscopic and spectrometric methods Wesley Toby Fraser, regarding the characterization of small biochemical differences between pollen samples Oxford Brookes University, United Kingdom was evaluated using multivariate statistical approaches. Pollen samples, collected from Åsmund Rinnan, three populations of the grass Poa alpina, were analyzed using Fourier-transform infrared University of Copenhagen, Denmark (FTIR) spectroscopy, Raman spectroscopy, surface enhanced Raman scattering (SERS), Anna De Juan, and matrix assisted laser desorption/ionization mass spectrometry (MALDI-TOF MS). The University of Barcelona, Spain variation in the sample set can be described in a hierarchical framework comprising three *Correspondence: populations of the same grass species and four different growth conditions of the parent Janina Kneipp
[email protected] plants for each of the populations.