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Predicting Plant Cell Wall Conversion Efficiency Through Autofluorescence Intensity

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Titel: Predicting Plant Cell Wall Conversion Efficiency Through Autofluorescence Intensity
Autoren: Hossein Khani, Solmaz, Amer, Khadidja, Paës, Gabriel, Refahi, Yassin
Weitere Verfasser: Yassin, Refahi
Verlagsinformationen: 2025.
Publikationsjahr: 2025
Schlagwörter: [INFO.INFO-BT] Computer Science [cs]/Biotechnology, [INFO] Computer Science [cs]
Beschreibung: The enzymatic hydrolysis of the plant cell wall is an essential step in biotechnological conversion of lignocellulosic biomass into bioproducts. Over the past decades, underlying mechanisms of enzymatic hydrolysis have been extensively investigated. Nevertheless, predicting saccharification yield remains challenging. To address this gap, we collected time-lapse 3D images of spruce wood during enzymatic deconstruction using cell wall autofluorescence. In parallel, we determined cellulose and hemicelluloses conversion kinetics. We then developed an innovative image processing pipeline to quantify cell wall autofluorescence intensity dynamics and cell scale morphological parameters during enzymatic hydrolysis. The results showed that enzymatic hydrolysis is characterized by a distinct pattern of distribution of cell wall autofluorescence, serving as a marker of the enzymatic deconstruction. The analysis also demonstrated a strong negative correlation between autofluorescence intensity dynamics and polysaccharidesconversion dynamics. Furthermore, the extracted autofluorescence intensity dynamics serve as the basis for developing spatio-temporal computational models of cell wall deconstruction describing the interactions between polysaccharides and enzymes.Overall, the results provide a novel, quantitative, and non-invasive method for evaluating saccharification yield and eliminate the need for labor-intensive sampling and chemical assays, offering a promising and accelerating pathway to optimize biotechnological conversion processes.
Publikationsart: Conference object
Sprache: English
Zugangs-URL: https://hal.science/hal-05155143v1
Dokumentencode: edsair.od......9730..2f2357e30dc9bd9e0545cc69032141f5
Datenbank: OpenAIRE
Beschreibung
Abstract:The enzymatic hydrolysis of the plant cell wall is an essential step in biotechnological conversion of lignocellulosic biomass into bioproducts. Over the past decades, underlying mechanisms of enzymatic hydrolysis have been extensively investigated. Nevertheless, predicting saccharification yield remains challenging. To address this gap, we collected time-lapse 3D images of spruce wood during enzymatic deconstruction using cell wall autofluorescence. In parallel, we determined cellulose and hemicelluloses conversion kinetics. We then developed an innovative image processing pipeline to quantify cell wall autofluorescence intensity dynamics and cell scale morphological parameters during enzymatic hydrolysis. The results showed that enzymatic hydrolysis is characterized by a distinct pattern of distribution of cell wall autofluorescence, serving as a marker of the enzymatic deconstruction. The analysis also demonstrated a strong negative correlation between autofluorescence intensity dynamics and polysaccharidesconversion dynamics. Furthermore, the extracted autofluorescence intensity dynamics serve as the basis for developing spatio-temporal computational models of cell wall deconstruction describing the interactions between polysaccharides and enzymes.Overall, the results provide a novel, quantitative, and non-invasive method for evaluating saccharification yield and eliminate the need for labor-intensive sampling and chemical assays, offering a promising and accelerating pathway to optimize biotechnological conversion processes.