The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The characterization of pretreated lignocellulosic substrates prior to enzymatic hydrolysis, part 1: A modified Simons' staining technique
Abstract
To date, there is limited knowledge available regarding the key features of pretreated lignocellulosic substrates that promote the effective enzymatic hydrolysis of the cellulose component to glucose during bioconversion processes to produce ethanol. Fundamentally, cellulase enzymes require access to the cellulose to carry out effective hydrolysis. Porosity and the overall surface area of substrates have major structural features influencing the hydrolysis of pretreated substrates by cellulases. Simons' Stain (SS) is a potentially useful semiquantitative method for estimating the available surface area of lignocellulosic substrates. In this study, a modified, rapid SS method was developed, where the processing time was decreased from >50 to 6 h and the maximum dye adsorbed on the substrate was calculated using the adsorption isotherm for the orange and blue components of the dye mixture. The modified SS test readily measures the decrease in accessibility and hydrolyzability of a steam pretreated substrate that had been dried under three different drying regimes. For each of the lignocellulosic substrates, the total dye adsorption correlated well with the hydrolysis yields resulting in a correlation coefficient of r2 = 0.95. The modified SS procedure is an effective tool for assessing how lignocellulosic substrates might be potentially hydrolyzed by cellulases.
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
Features of promising technologies for pretreatment of lignocellulosic biomass
MOSIER, N. (2005) · Bioresource Technology · doi:10.1016/j.biortech.2004.06.025 · Cited by 6,251
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
Self-citation
Cited by
Zhao, X., Zhang, L., & Liu, D. (2012) · Biofuels, Bioproducts and Biorefining · doi:10.1002/bbb.1331 · Cited by 986
Arantes, V., & Saddler, J. N. (2011) · Biotechnology for Biofuels · doi:10.1186/1754-6834-4-3 · Cited by 351
Self-citationLeu, S.-Y., & Zhu, J. Y. (2013) · BioEnergy Research · doi:10.1007/s12155-012-9276-1 · Cited by 339
Zhao, X., Zhang, L., & Liu, D. (2012) · Biofuels, Bioproducts and Biorefining · doi:10.1002/bbb.1350 · Cited by 296
Metadata
- Authors
- Chandra, R., Ewanick, S., Hsieh, C., & Saddler, J. N.
- Venue
- Biotechnology Progress
- Publisher
- Wiley
- Published
- 2008-09
- Volume
- 24
- Issue
- 5
- Pages
- 1178-1185
- ISSN
- 1520-6033 (ISSN-L)
- 8756-7938
- OpenAlex
- W2008400095
- Cited by
- 200
- References
- 2
- FWCI
- 4.69
- 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
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.