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Fluorescence Lifetime Imaging as an in Situ and Label-Free Readout for the Chemical Composition of Lignin
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för fysiologisk botanik. Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Umeå Plant Science Centre (UPSC). Umeå Plant Science Centre (UPSC), Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå, Sweden.ORCID-id: 0000-0001-7049-6978
PICT Platform, Université de Reims Champagne Ardenne, Reims, France.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Kemiska institutionen.ORCID-id: 0000-0003-2798-6298
RISE AB, Stockholm, Sweden.
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2021 (Engelska)Ingår i: ACS Sustainable Chemistry and Engineering, E-ISSN 2168-0485, Vol. 9, nr 51, s. 17381-17392Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Naturally fluorescent polymeric molecules such as collagen, resilin, cutin, suberin, or lignin can serve as renewable sources of bioproducts. Theoretical physics predicts that the fluorescence lifetime of these polymers is related to their chemical composition. We verified this prediction for lignin, a major structural element in plant cell walls that form woody biomass. Lignin is composed of different phenylpropanoid units, and its composition affects its properties, biological functions, and the utilization of wood biomass. We carried out fluorescence lifetime imaging microscopy (FLIM) measurements of wood cell wall lignin in a population of 90 hybrid aspen trees genetically engineered to display differences in cell wall chemistry and structure. We also measured the wood cell wall composition by classical analytical methods in these trees. Using statistical modeling and machine learning algorithms, we identified parameters of fluorescence lifetime that predict the content of S-type and G-type lignin units, the two main types of units in the lignin of angiosperm (flowering) plants. In a first step toward tailoring lignin biosynthesis toward improvement of woody biomass feedstocks, we show how FLIM can reveal the dynamics of lignin biosynthesis in two different biological contexts, including in vivo while lignin is being synthesized in the walls of living cells.

Ort, förlag, år, upplaga, sidor
American Chemical Society (ACS), 2021. Vol. 9, nr 51, s. 17381-17392
Nyckelord [en]
chemotyping in situ, FLIM, lignin, machine learning, statistical modeling, wood
Nationell ämneskategori
Växtbioteknologi
Identifikatorer
URN: urn:nbn:se:umu:diva-190950DOI: 10.1021/acssuschemeng.1c06780ISI: 000731390200001Scopus ID: 2-s2.0-85121639271OAI: oai:DiVA.org:umu-190950DiVA, id: diva2:1624842
Forskningsfinansiär
Bio4EnergyTillgänglig från: 2022-01-05 Skapad: 2022-01-05 Senast uppdaterad: 2023-11-06Bibliografiskt granskad

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Escamez, SachaGandla, Madhavi LathaSundman, OlaJönsson, Leif J.

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Escamez, SachaGandla, Madhavi LathaSundman, OlaJönsson, Leif J.
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Institutionen för fysiologisk botanikUmeå Plant Science Centre (UPSC)Kemiska institutionen
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