The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Cellulose crystallinity – a key predictor of the enzymatic hydrolysis rate
Abstract
The enzymatic hydrolysis of cellulose encounters various limitations that are both substrate‐ and enzyme‐related. Although the crystallinity of pure cellulosic Avicel plays a major role in determining the rate of hydrolysis by cellulases from Trichoderma reesei, we show that it stays constant during enzymatic conversion. The mode of action of cellulases was investigated by studying their kinetics on cellulose samples. A convenient method for reaching intermediate degrees of crystallinity with Avicel was therefore developed and the initial rate of the cellulase‐catalyzed hydrolysis of cellulose was demonstrated to be linearly proportional to the crystallinity index of Avicel. Despite correlation with the adsorption capacity of cellulases onto cellulose, at a given enzyme loading, the initial enzymatic rate continued to increase with a decreasing crystallinity index, even though the bound enzyme concentration stayed constant. This finding supports the determinant role of crystallinity rather than adsorption on the enzymatic rate. Thus, the cellulase activity and initial rate data obtained from various samples may provide valuable information about the details of the mechanistic action of cellulase and the hydrolysable/reactive fractions of cellulose chains. X‐ray diffraction provides insight into the mode of action of Cel7A from T. reesei. In the conversion of cellulose, the (021) face of the cellulose crystal was shown to be preferentially attacked by Cel7A from T. reesei.
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
Cites
How biotech can transform biofuels
Lynd, L. R., Laser, M. S., Bransby, D., Dale, B. E., Davison, B., Hamilton, R., Himmel, M., Keller, M., McMillan, J. D., Sheehan, J., et al. (2008) · Nature Biotechnology · doi:10.1038/nbt0208-169 · Cited by 1,121
Substrate and Enzyme Characteristics that Limit Cellulose Hydrolysis
Mansfield, S. D., Mooney, C., & Saddler, J. N. (1999) · Biotechnology Progress · doi:10.1021/bp9900864 · Cited by 869
Cited by
Current challenges in commercially producing biofuels from lignocellulosic biomass
Balan, V. (2014) · ISRN Biotechnology · doi:10.1155/2014/463074 · Cited by 551
Pretreatment and Lignocellulosic Chemistry
Hu, F., & Ragauskas, A. (2012) · BioEnergy Research · doi:10.1007/s12155-012-9208-0 · Cited by 462
Miscanthus: a fast‐growing crop for biofuels and chemicals production
Brosse, N., Dufour, A., Meng, X., Sun, Q., & Ragauskas, A. (2012) · Biofuels, Bioproducts and Biorefining · doi:10.1002/bbb.1353 · Cited by 446
Cheng, G., Varanasi, P., Li, C., Liu, H., Melnichenko, Y. B., Simmons, B. A., Kent, M. S., & Singh, S. (2011) · Biomacromolecules · doi:10.1021/bm101240z · Cited by 437
Zhao, X., Zhang, L., & Liu, D. (2012) · Biofuels, Bioproducts and Biorefining · doi:10.1002/bbb.1350 · Cited by 296
Metadata
- Authors
- Hall, M., Bansal, P., Lee, J. H., Realff, M. J., & Bommarius, A. S.
- Venue
- The FEBS Journal
- Publisher
- Wiley
- Published
- 2010-02-24
- Volume
- 277
- Issue
- 6
- Pages
- 1571-1582
- ISSN
- 1742-464X (ISSN-L)
- 1742-4658
- OpenAlex
- W1531191653
- Cited by
- 611
- References
- 2
- FWCI
- 20.21
- 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: Cellulose crystallinity – a key predictor of the enzymatic hydrolysis rate. https://app.cochat.ai/papers/10.1111/j.1742-4658.2010.07585.x
- The paper
- Hall, M., Bansal, P., Lee, J. H., Realff, M. J., & Bommarius, A. S. (2010). Cellulose crystallinity – a key predictor of the enzymatic hydrolysis rate. The FEBS Journal. https://doi.org/10.1111/j.1742-4658.2010.07585.x
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.