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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004427naa a2200457 4500
001oai:DiVA.org:ltu-95302
003SwePub
008230131s2023 | |||||||||||000 ||eng|
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-953022 URI
0247 a https://doi.org/10.1016/j.indcrop.2022.1161532 DOI
040 a (SwePub)ltu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Cousins, Dylan S.u Department of Chemical and Biological Engineering, Montana State University, 306 Cobleigh Hall, PO Box 173920 Bozeman, MT 59717–3920, USA4 aut
2451 0a Particle classification by image analysis improves understanding of corn stover degradation mechanisms during deconstruction
264 1b Elsevier B.V.c 2023
338 a print2 rdacarrier
500 a Validerad;2023;Nivå 2;2023-01-31 (sofila);Funder: U.S. Department of Energy (EERE), Bioenergy Technologies Office (BETO); FOA-0002029 (grant no. DE-EE000890)
520 a Biomass feedstock heterogeneity is a principal roadblock to implementation of the biorefinery concept. Even within an identical cultivar of corn stover, different bales contain not only varying abundance moisture, ash, glucan, and other chemical compounds, but also varying abundance of tissue anatomies (e.g., leaf, husk, cob, or stalk). These different anatomical components not only differ in their response to pretreatment and enzymatic hydrolysis to glucose, but also vary in their mechanical and conveyance properties. Although this heterogeneous nature of corn stover feedstock has been identified as a challenge, a fundamental knowledge gap of how these tissues behave during biorefining processing remains. In this work, we demonstrate the use of a commercial fiber image analyzer typically used for wood fiber characterization to monitor the particle size and shapes of non-woody feedstock during milling, pretreatment, and hydrolysis. Additionally, we present novel use of Gaussian process classification to distinguish bundle, parenchyma, and fiber particles to an accuracy of 96.4%. Quantitative probability distribution plots for characteristics such as length and roundness allow elucidation of particle morphology as pretreatment and enzymatic hydrolysis progress. In both stalk pith and stalk rind, particles peel into individual cells whose walls are subsequently fragmented during enzymatic hydrolysis.
650 7a TEKNIK OCH TEKNOLOGIERx Industriell bioteknikx Bioprocessteknik0 (SwePub)209012 hsv//swe
650 7a ENGINEERING AND TECHNOLOGYx Industrial Biotechnologyx Bioprocess Technology0 (SwePub)209012 hsv//eng
650 7a NATURVETENSKAPx Biologix Biokemi och molekylärbiologi0 (SwePub)106022 hsv//swe
650 7a NATURAL SCIENCESx Biological Sciencesx Biochemistry and Molecular Biology0 (SwePub)106022 hsv//eng
653 a Biomass conversion
653 a Feedstock enhancement
653 a Gaussian process classification
653 a Particle image analysis
653 a Biokemisk processteknik
653 a Biochemical Process Engineering
7001 a Pedersen, Kristian P.u Department of Chemical and Biological Engineering, Montana State University, 306 Cobleigh Hall, PO Box 173920 Bozeman, MT 59717–3920, USA4 aut
7001 a Otto, William G.u Department of Chemical and Biological Engineering, Montana State University, 306 Cobleigh Hall, PO Box 173920 Bozeman, MT 59717–3920, USA4 aut
7001 a Rony, Asif Hasanu Idaho National Laboratory, Idaho Falls, ID, USA4 aut
7001 a Lacey, Jeffrey A.u Idaho National Laboratory, Idaho Falls, ID, USA4 aut
7001 a Aston, John E.u Idaho National Laboratory, Idaho Falls, ID, USA4 aut
7001 a Hodge, Davidu Luleå tekniska universitet,Kemiteknik,Department of Chemical and Biological Engineering, Montana State University, 306 Cobleigh Hall, PO Box 173920, Bozeman, MT 59717-3920, USA4 aut0 (Swepub:ltu)davhod
7102 a Department of Chemical and Biological Engineering, Montana State University, 306 Cobleigh Hall, PO Box 173920 Bozeman, MT 59717–3920, USAb Idaho National Laboratory, Idaho Falls, ID, USA4 org
7730 t Industrial crops and products (Print)d : Elsevier B.V.g 193q 193x 0926-6690x 1872-633X
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-95302
8564 8u https://doi.org/10.1016/j.indcrop.2022.116153

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