WFRF:(Aston John E.)
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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 04424naa a2200469 4500 | |
| 001 | oai:DiVA.org:ltu-89779 | |
| 003 | SwePub | |
| 008 | 220322s2022 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-897792 URI |
| 024 | 7 | a https://doi.org/10.3389/fenrg.2022.8366902 DOI |
| 040 | a (SwePub)ltu | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a art2 swepub-publicationtype |
| 100 | 1 | a Cousins, Dylan S.u Department of Chemical and Biological Engineering, Montana State University, Bozeman, MT, United States4 aut |
| 245 | 1 0 | a Near-Infrared Spectroscopy can Predict Anatomical Abundance in Corn Stover |
| 264 | c 2022-02-17 | |
| 264 | 1 | b Frontiers Media S.A.c 2022 |
| 338 | a print2 rdacarrier | |
| 500 | a Validerad;2022;Nivå 2;2022-03-22 (hanlid);Funder: U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) Bioenergy Technologies Office (BETO) (DE-EE0008907) | |
| 520 | a Feedstock heterogeneity is a key challenge impacting the deconstruction and conversion of herbaceous lignocellulosic biomass to biobased fuels, chemicals, and materials. Upstream processing to homogenize biomass feedstock streams into their anatomical components via air classification allows for a more tailored approach to subsequent mechanical and chemical processing. Here, we show that differing corn stover anatomical tissues respond differently to pretreatment and enzymatic hydrolysis and therefore, a one-size-fits-all approach to chemical processing biomass is inappropriate. To inform on-line downstream processing, a robust and high-throughput analytical technique is needed to quantitatively characterize the separated biomass. Predictive correlation of near-infrared spectra to biomass chemical composition is such a technique. Here, we demonstrate the capability of models developed using an “off-the-shelf,” industrially relevant spectrometer with limited spectral range to make strong predictions of both cell wall chemical composition and the relative abundance of anatomical components of the corn stover, the latter for the first time ever. Gaussian process regression (GPR) yields stronger correlations (average R2v = 88% for chemical composition and 95% for anatomical relative abundance) than the more commonly used partial least squares (PLS) regression (average R2v = 84% for chemical composition and 92% for anatomical relative abundance). In nearly all cases, both GPR and PLS outperform models generated using neural networks. These results highlight the potential for coupling NIRS with predictive models based on GPR due to the potential to yield more robust correlations. | |
| 650 | 7 | a TEKNIK OCH TEKNOLOGIERx Industriell bioteknikx Bioprocessteknik0 (SwePub)209012 hsv//swe |
| 650 | 7 | a ENGINEERING AND TECHNOLOGYx Industrial Biotechnologyx Bioprocess Technology0 (SwePub)209012 hsv//eng |
| 653 | a near-infrared spectrocopy | |
| 653 | a corn stover | |
| 653 | a bioenergy | |
| 653 | a biomass pre-processing | |
| 653 | a biomass characterization | |
| 653 | a Biokemisk processteknik | |
| 653 | a Biochemical Process Engineering | |
| 700 | 1 | a Otto, William G.u Department of Chemical and Biological Engineering, Montana State University, Bozeman, MT, United States4 aut |
| 700 | 1 | a Rony, Asif Hasanu Idaho National Laboratory, Idaho Falls, ID, United States4 aut |
| 700 | 1 | a Pedersen, Kristian P.u Department of Chemical and Biological Engineering, Montana State University, Bozeman, MT, United States4 aut |
| 700 | 1 | a Aston, John E.u Idaho National Laboratory, Idaho Falls, ID, United States4 aut |
| 700 | 1 | a Hodge, David B.u Luleå tekniska universitet,Kemiteknik,Department of Chemical and Biological Engineering, Montana State University, Bozeman, MT, United States4 aut0 (Swepub:ltu)davhod |
| 710 | 2 | a Department of Chemical and Biological Engineering, Montana State University, Bozeman, MT, United Statesb Idaho National Laboratory, Idaho Falls, ID, United States4 org |
| 773 | 0 | t Frontiers in Energy Researchd : Frontiers Media S.A.g 10q 10x 2296-598X |
| 856 | 4 | u https://doi.org/10.3389/fenrg.2022.836690y Fulltext |
| 856 | 4 | u https://www.frontiersin.org/articles/10.3389/fenrg.2022.836690/pdf |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-89779 |
| 856 | 4 8 | u https://doi.org/10.3389/fenrg.2022.836690 |
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