The DOI matches its Crossref record; 130 of the 137 references it cites were found in a registry or an index.
Features of promising technologies for pretreatment of lignocellulosic biomass
Abstract
Cellulosic plant material represents an as-of-yet untapped source of fermentable sugars for significant industrial use. Many physio-chemical structural and compositional factors hinder the enzymatic digestibility of cellulose present in lignocellulosic biomass. The goal of any pretreatment technology is to alter or remove structural and compositional impediments to hydrolysis in order to improve the rate of enzyme hydrolysis and increase yields of fermentable sugars from cellulose or hemicellulose. These methods cause physical and/or chemical changes in the plant biomass in order to achieve this result. Experimental investigation of physical changes and chemical reactions that occur during pretreatment is required for the development of effective and mechanistic models that can be used for the rational design of pretreatment processes. Furthermore, pretreatment processing conditions must be tailored to the specific chemical and structural composition of the various, and variable, sources of lignocellulosic biomass. This paper reviews process parameters and their fundamental modes of action for promising pretreatment methods.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Utilisation of lignocellulose as a biofuel feedstock is likely to provide much higher CO 2 emission savings.2,5”
From Deconstruction of lignocellulosic biomass with ionic liquids (2013) · cites this paper as [5]
Citations
Cites
Carpita, N. C., & Gibeaut, D. M. (1993) · The Plant Journal · doi:10.1111/j.1365-313x.1993.tb00007.x · Cited by 3,475
Fermentation of lignocellulosic hydrolysates. II: inhibitors and mechanisms of inhibition
Palmqvist, E. A., & Hahn‐Hägerdal, B. (2000) · Bioresource Technology · doi:10.1016/s0960-8524(99)00161-3 · Cited by 2,518
Fundamental Factors Affecting Biomass Enzymatic Reactivity
Chang, V. S., & Holtzapple, M. T. (2000) · Applied Biochemistry and Biotechnology · doi:10.1385/abab:84-86:1-9:5 · Cited by 1,182
Fuel ethanol from cellulosic biomass
Lynd, L. R., Cushman, J. H., Nichols, R. J., & Wyman, C. E. (1991) · Science · doi:10.1126/science.251.4999.1318 · Cited by 965
Hydrothermal degradation of polymers derived from plants
Bobleter, O. (1994) · Progress in Polymer Science · doi:10.1016/0079-6700(94)90033-7 · Cited by 859
Saeman, J. F. (1945) · Industrial & Engineering Chemistry · doi:10.1021/ie50421a009 · Cited by 811
Handbook on bioethanol : production and utilization
Wyman, C. E. (1996) · Medical Entomology and Zoology · Cited by 755
Pretreatment of Lignocellulosic Biomass
McMillan, J. D. (1994) · ACS symposium series · doi:10.1021/bk-1994-0566.ch015 · Cited by 627
B IOMASS E THANOL : Technical Progress, Opportunities, and Commercial Challenges
Wyman, C. E. (1999) · Annual Review of Energy and the Environment · doi:10.1146/annurev.energy.24.1.189 · Cited by 601
Genetically Engineered Saccharomyces Yeast Capable of Effective Cofermentation of Glucose and Xylose
Ho, N. W. Y., Chen, Z., & Brainard, A. P. (1998) · Applied and Environmental Microbiology · doi:10.1128/aem.64.5.1852-1859.1998 · Cited by 541
Flagged first, then by citations
7 of the 137 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Synthesis of Transportation Fuels from Biomass: Chemistry, Catalysts, and Engineering
Huber, G. W., Iborra, S., & Corma, A. (2006) · Chemical Reviews · doi:10.1021/cr068360d · Cited by 7,810
The Path Forward for Biofuels and Biomaterials
Ragauskas, A. J., Williams, C. K., Davison, B. H., Britovsek, G., Cairney, J., Eckert, C. A., Frederick, W. J., Hallett, J. P., Leak, D. J., Liotta, C. L., et al. (2006) · Science · doi:10.1126/science.1114736 · Cited by 5,741
Lignin Valorization: Improving Lignin Processing in the Biorefinery
Ragauskas, A. J., Beckham, G. T., Biddy, M. J., Chandra, R. P., Chen, F., Davis, M. F., Davison, B. H., Dixon, R. A., Gilna, P., Keller, M., et al. (2014) · Science · doi:10.1126/science.1246843 · Cited by 4,250
Alvira, P., Tomás-Pejó, E., Ballesteros, M., & Negro, M. J. (2010) · Bioresource Technology · doi:10.1016/j.biortech.2009.11.093 · Cited by 3,912
Pretreatments to enhance the digestibility of lignocellulosic biomass
Hendriks, A., & Zeeman, G. (2008) · Bioresource Technology · doi:10.1016/j.biortech.2008.05.027 · Cited by 3,922
Metadata
- Authors
- MOSIER, N.
- Affiliations
- Purdue University West Lafayette (US)
- Corresponding author
- MOSIER, N
- ORCID
- MOSIER, N
- Venue
- Bioresource Technology
- Publisher
- Elsevier BV
- Published
- 2005-04
- Volume
- 96
- Issue
- 6
- Pages
- 673-686
- ISSN
- 0960-8524 (ISSN-L)
- OpenAlex
- W2110919001
- Cited by
- 6,251
- References
- 137
- Citations by year
- 2026: 140 · 2025: 162 · 2024: 171 · 2023: 214 · 2022: 217 · 2021: 352 · 2020: 321 · 2019: 369 · 2018: 388 · 2017: 443 · 2016: 451 · 2015: 436 · 2014: 484 · 2013: 464 · 2012: 424
- FWCI
- 37.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Bioresource Technology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Biofuel production and bioconversion
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Anaerobic Digestion and Biogas Production
- Physical Sciences › Chemical Engineering › Catalysis › Catalysis for Biomass Conversion
- Keywords
- lignocellulosic biomass pretreatment, enzymatic hydrolysis, cellulose, hemicellulose, fermentable sugars, biomass composition, mechanistic model, process design
- MeSH terms
- Ethanol, Cellulose, Conservation of Energy Resources, Fermentation, Hydrolysis, Lignin, Refuse Disposal, Biomass
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
