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2022-06Zeitschriftenartikel DOI: 10.18452/26208
Multimodal Imaging of Silicified Sorghum Leaves
dc.contributor.authorZancajo, Victor M. R.
dc.contributor.authorDiehn, Sabrina
dc.contributor.authorElbaum, Rivka
dc.contributor.authorKneipp, Janina
dc.date.accessioned2023-03-10T16:45:29Z
dc.date.available2023-03-10T16:45:29Z
dc.date.issued2022-06none
dc.identifier.urihttp://edoc.hu-berlin.de/18452/26892
dc.description.abstractThe plant cell wall is a complex composite material made of polysaccharides, polyphenols, proteins, and minerals. In this work, a multimodal imaging approach was taken, using Raman and Fourier-transform infrared (FTIR) microspectroscopy along with fluorescence imaging, scanning electron microscopy (SEM), and elemental mapping by energy dispersive X-ray spectroscopy (EDX). We characterized the chemical composition of sorghum leaf cross-sections extracted from fresh tissue as well as after paraffin embedding. The complementary vibrational information of Raman and FTIR spectra related a silica deposition to a specific organic composition in the epidermis, specifically with respect to lignin. Moreover, the data enable in situ correlation of autofluorescence with a specific lignin structure. Our results showed that lignin 5–5’ linkages that produce biphenyl structures are important determinants of the cell wall fluorescence properties. The reported multimodal approach will help to clarify the process of biosilica formation and related questions regarding cell wall biochemistry.eng
dc.language.isoengnone
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY-NC-ND 4.0) Attribution-NonCommercial-NoDerivatives 4.0 Internationalger
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectcell wallseng
dc.subjectlignineng
dc.subjectmultimodal imagingeng
dc.subjectsilicaeng
dc.subjectspectroscopyeng
dc.subject.ddc540 Chemie und zugeordnete Wissenschaftennone
dc.titleMultimodal Imaging of Silicified Sorghum Leavesnone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/26892-5
dc.identifier.doihttp://dx.doi.org/10.18452/26208
dc.type.versionpublishedVersionnone
local.edoc.pages10none
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
dc.description.versionPeer Reviewednone
dc.identifier.eissn2629-2742
dcterms.bibliographicCitation.doi10.1002/anse.202200006
dcterms.bibliographicCitation.journaltitleAnalysis & sensingnone
dcterms.bibliographicCitation.volume2none
dcterms.bibliographicCitation.issue5none
dcterms.bibliographicCitation.articlenumbere202200006none
dcterms.bibliographicCitation.originalpublishernameWiley-VCHnone
dcterms.bibliographicCitation.originalpublisherplaceWeinheimnone
bua.departmentMathematisch-Naturwissenschaftliche Fakultätnone

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