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A Multiscale Vibrational Spectroscopic Approach for Identification and Biochemical Characterization of Pollen

BACKGROUND: Analysis of pollen grains reveals valuable information on biology, ecology, forensics, climate change, insect migration, food sources and aeroallergens. Vibrational (infrared and Raman) spectroscopies offer chemical characterization of pollen via identifiable spectral features without an...

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Autores principales: Bağcıoğlu, Murat, Zimmermann, Boris, Kohler, Achim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4574200/
https://www.ncbi.nlm.nih.gov/pubmed/26376486
http://dx.doi.org/10.1371/journal.pone.0137899
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author Bağcıoğlu, Murat
Zimmermann, Boris
Kohler, Achim
author_facet Bağcıoğlu, Murat
Zimmermann, Boris
Kohler, Achim
author_sort Bağcıoğlu, Murat
collection PubMed
description BACKGROUND: Analysis of pollen grains reveals valuable information on biology, ecology, forensics, climate change, insect migration, food sources and aeroallergens. Vibrational (infrared and Raman) spectroscopies offer chemical characterization of pollen via identifiable spectral features without any sample pretreatment. We have compared the level of chemical information that can be obtained by different multiscale vibrational spectroscopic techniques. METHODOLOGY: Pollen from 15 different species of Pinales (conifers) were measured by seven infrared and Raman methodologies. In order to obtain infrared spectra, both reflectance and transmission measurements were performed on ground and intact pollen grains (bulk measurements), in addition, infrared spectra were obtained by microspectroscopy of multigrain and single pollen grain measurements. For Raman microspectroscopy measurements, spectra were obtained from the same pollen grains by focusing two different substructures of pollen grain. The spectral data from the seven methodologies were integrated into one data model by the Consensus Principal Component Analysis, in order to obtain the relations between the molecular signatures traced by different techniques. RESULTS: The vibrational spectroscopy enabled biochemical characterization of pollen and detection of phylogenetic variation. The spectral differences were clearly connected to specific chemical constituents, such as lipids, carbohydrates, carotenoids and sporopollenins. The extensive differences between pollen of Cedrus and the rest of Pinaceae family were unambiguously connected with molecular composition of sporopollenins in pollen grain wall, while pollen of Picea has apparently higher concentration of carotenoids than the rest of the family. It is shown that vibrational methodologies have great potential for systematic collection of data on ecosystems and that the obtained phylogenetic variation can be well explained by the biochemical composition of pollen. Out of the seven tested methodologies, the best taxonomical differentiation of pollen was obtained by infrared measurements on bulk samples, as well as by Raman microspectroscopy measurements of the corpus region of the pollen grain. Raman microspectroscopy measurements indicate that measurement area, as well as the depth of focus, can have crucial influence on the obtained data.
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spelling pubmed-45742002015-09-18 A Multiscale Vibrational Spectroscopic Approach for Identification and Biochemical Characterization of Pollen Bağcıoğlu, Murat Zimmermann, Boris Kohler, Achim PLoS One Research Article BACKGROUND: Analysis of pollen grains reveals valuable information on biology, ecology, forensics, climate change, insect migration, food sources and aeroallergens. Vibrational (infrared and Raman) spectroscopies offer chemical characterization of pollen via identifiable spectral features without any sample pretreatment. We have compared the level of chemical information that can be obtained by different multiscale vibrational spectroscopic techniques. METHODOLOGY: Pollen from 15 different species of Pinales (conifers) were measured by seven infrared and Raman methodologies. In order to obtain infrared spectra, both reflectance and transmission measurements were performed on ground and intact pollen grains (bulk measurements), in addition, infrared spectra were obtained by microspectroscopy of multigrain and single pollen grain measurements. For Raman microspectroscopy measurements, spectra were obtained from the same pollen grains by focusing two different substructures of pollen grain. The spectral data from the seven methodologies were integrated into one data model by the Consensus Principal Component Analysis, in order to obtain the relations between the molecular signatures traced by different techniques. RESULTS: The vibrational spectroscopy enabled biochemical characterization of pollen and detection of phylogenetic variation. The spectral differences were clearly connected to specific chemical constituents, such as lipids, carbohydrates, carotenoids and sporopollenins. The extensive differences between pollen of Cedrus and the rest of Pinaceae family were unambiguously connected with molecular composition of sporopollenins in pollen grain wall, while pollen of Picea has apparently higher concentration of carotenoids than the rest of the family. It is shown that vibrational methodologies have great potential for systematic collection of data on ecosystems and that the obtained phylogenetic variation can be well explained by the biochemical composition of pollen. Out of the seven tested methodologies, the best taxonomical differentiation of pollen was obtained by infrared measurements on bulk samples, as well as by Raman microspectroscopy measurements of the corpus region of the pollen grain. Raman microspectroscopy measurements indicate that measurement area, as well as the depth of focus, can have crucial influence on the obtained data. Public Library of Science 2015-09-16 /pmc/articles/PMC4574200/ /pubmed/26376486 http://dx.doi.org/10.1371/journal.pone.0137899 Text en © 2015 Bağcıoğlu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Bağcıoğlu, Murat
Zimmermann, Boris
Kohler, Achim
A Multiscale Vibrational Spectroscopic Approach for Identification and Biochemical Characterization of Pollen
title A Multiscale Vibrational Spectroscopic Approach for Identification and Biochemical Characterization of Pollen
title_full A Multiscale Vibrational Spectroscopic Approach for Identification and Biochemical Characterization of Pollen
title_fullStr A Multiscale Vibrational Spectroscopic Approach for Identification and Biochemical Characterization of Pollen
title_full_unstemmed A Multiscale Vibrational Spectroscopic Approach for Identification and Biochemical Characterization of Pollen
title_short A Multiscale Vibrational Spectroscopic Approach for Identification and Biochemical Characterization of Pollen
title_sort multiscale vibrational spectroscopic approach for identification and biochemical characterization of pollen
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4574200/
https://www.ncbi.nlm.nih.gov/pubmed/26376486
http://dx.doi.org/10.1371/journal.pone.0137899
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