Unknown

Dataset Information

Mixture Analyses of Air-sampled Pollen Extracts Can Accurately Differentiate Pollen Taxa.


ABSTRACT: The daily pollen forecast provides crucial information for allergic patients to avoid exposure to specific pollen. Pollen counts are typically measured with air samplers and analyzed with microscopy by trained experts. In contrast, this study evaluated the effectiveness of identifying the component pollens using the metabolites extracted from an air-sampled pollen mixture. Ambient air-sampled pollen from Munich in 2016 and 2017 was visually identified from reference pollens and extracts were prepared. The extracts were lyophilized, rehydrated in optimal NMR buffers, and filtered to remove large proteins. NMR spectra were analyzed for pollen associated metabolites. Regression and decision-tree based algorithms using the concentration of metabolites, calculated from the NMR spectra outperfor

SUBMITTER: Klimczak LJ 

PROVIDER: S-EPMC7485930 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature