ArticlePlanta2018
Chemical characterization and identification of Pinaceae pollen by infrared microspectroscopy.
Article in Planta, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Analyzing Pollen by Infrared and Raman Spectroscopy.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Compounds composition of pollen tubes of Scots pine (Physiology and molecular biology of plants : an international journal of functional plant biology · 2023Article
- Clustering approach for the analysis of the fluorescent bioaerosol collected by an automatic detector.PloS one · 2021Article
- Electrochemical Voltammogram Recording for Identifying Varieties of Ornamental Plants.Micromachines · 2020Article
- Discrimination of grass pollen of different species by FTIR spectroscopy of individual pollen grains.Analytical and bioanalytical chemistry · 2020Article
- Chemical Analysis of Pollen by FT-Raman and FTIR Spectroscopies.Frontiers in plant science · 2020Article
- Species-Specific Biodegradation of Sporopollenin-Based Microcapsules.Scientific reports · 2019Article
- Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) shows adaptation of grass pollen composition.Scientific reports · 2018Article
- Identification of birch pollen species using FTIR spectroscopy.Aerobiologia · 2018Article
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Authors and funding
1 author.
Funding
Abstract
MAIN
conclusionFTIR microspectroscopy, in combination with spectral averaging procedure, enables precise analysis of pollen grains for chemical characterization and identification studies of fresh and fossilised pollen in botany, ecology and palaeosciences. Infrared microspectroscopy (µFTIR) of Pinaceae pollen can provide valuable information on plant phenology, ecophysiology and paleoecology, but measurements are challenging, resulting in unreproducible spectra. The comparative analysis of µFTIR spectra belonging to morphologically different Pinaceae pollen, namely bisaccate Pinus and monosaccate Tsuga pollen, was conducted. The study shows that the main cause of spectral variability is non-radial symmetry of bisaccate pollen grains, while additional variation is caused by Mie scattering. Averaging over relatively small number of single pollen grain spectra (approx. 5-10) results with reproducible data on pollen chemical composition. The practical applicability of the µFTIR spectral averaging method has been demonstrated by the partial least-squares regression-based differentiation of the two closely related Pinus species with morphologically indistinguishable pollen: Pinus mugo (mountain pine) and Pinus sylvestris (Scots pine). The study has demonstrated that the µFTIR approach can be used for identification, differentiation and chemical characterization of pollen with complex morphology. The methodology enables analysis of fresh pollen, as well as fossil pollen from sediment core samples, and can be used in botany, ecology and paleoecology for study of biotic and abiotic effects on plants.
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