The DOI matches its Crossref record.
How Does Plant Cell Wall Nanoscale Architecture Correlate with Enzymatic Digestibility?
Abstract
One of the key challenges in scaling up biofuels manufacturing is development of a cost-effective way to break down cellulose into sugars for subsequent fermentation. Ding et al. (p. 1055 ) applied several different types of microscopy to understand the details of how cellulase enzymes perform this task, in the interest of ultimately optimizing the procedure. After lignin removal, fungal cellulases penetrated the remaining cellulose pore structure more efficiently than did bacteria-derived multienzyme complexes. However, this behavior hinges on a lignin extraction scheme that preserves the native architecture of the cellulose.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Pu, Y., Hu, F., Huang, F., Davison, B. H., & Ragauskas, A. J. (2013) · Biotechnology for Biofuels · doi:10.1186/1754-6834-6-15 · Cited by 608
Exploring bacterial lignin degradation
Brown, M. E., & Chang, M. C. (2014) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2013.11.015 · Cited by 438
Biological imaging of chemical bonds by stimulated Raman scattering microscopy
Hu, F., Shi, L., & Min, W. (2019) · Nature Methods · doi:10.1038/s41592-019-0538-0 · Cited by 392
Diffuse Growth of Plant Cell Walls
Cosgrove, D. J. (2018) · Plant Physiology · doi:10.1104/pp.17.01541 · Cited by 348
Structural elucidation of whole lignin from Eucalyptus based on preswelling and enzymatic hydrolysis
Wen, J.-L., Sun, S.-L., Yuan, T.-Q., & Sun, R.-C. (2015) · Green Chemistry · doi:10.1039/c4gc01889c · Cited by 207
Metadata
- Authors
- Ding, S.-Y., Liu, Y.-S., Zeng, Y., Himmel, M. E., Baker, J. O., & Bayer, E. A.
- Venue
- Science
- Published
- 2012-11-23
- Volume
- 338
- Issue
- 6110
- Pages
- 1055-1060
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2028557999
- Cited by
- 738
- References
- 0
- FWCI
- 34.70
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: How Does Plant Cell Wall Nanoscale Architecture Correlate with Enzymatic Digestibility? https://app.cochat.ai/papers/10.1126/science.1227491
- The paper
- Ding, S.-Y., Liu, Y.-S., Zeng, Y., Himmel, M. E., Baker, J. O., & Bayer, E. A. (2012). How Does Plant Cell Wall Nanoscale Architecture Correlate with Enzymatic Digestibility? Science. https://doi.org/10.1126/science.1227491
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
