Title |
Undefined cellulase formulations hinder scientific reproducibility
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Published in |
Biotechnology for Biofuels and Bioproducts, November 2017
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DOI | 10.1186/s13068-017-0974-y |
Pubmed ID | |
Authors |
Michael E. Himmel, Charles A. Abbas, John O. Baker, Edward A. Bayer, Yannick J. Bomble, Roman Brunecky, Xiaowen Chen, Claus Felby, Tina Jeoh, Rajeev Kumar, Barry V. McCleary, Brett I. Pletschke, Melvin P. Tucker, Charles E. Wyman, Stephen R. Decker |
Abstract |
In the shadow of a burgeoning biomass-to-fuels industry, biological conversion of lignocellulose to fermentable sugars in a cost-effective manner is key to the success of second-generation and advanced biofuel production. For the effective comparison of one cellulase preparation to another, cellulase assays are typically carried out with one or more engineered cellulase formulations or natural exoproteomes of known performance serving as positive controls. When these formulations have unknown composition, as is the case with several widely used commercial products, it becomes impossible to compare or reproduce work done today to work done in the future, where, for example, such preparations may not be available. Therefore, being a critical tenet of science publishing, experimental reproducibility is endangered by the continued use of these undisclosed products. We propose the introduction of standard procedures and materials to produce specific and reproducible cellulase formulations. These formulations are to serve as yardsticks to measure improvements and performance of new cellulase formulations. |
X Demographics
Geographical breakdown
Country | Count | As % |
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South Africa | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 52 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 17% |
Student > Ph. D. Student | 8 | 15% |
Student > Bachelor | 4 | 8% |
Professor > Associate Professor | 3 | 6% |
Student > Master | 3 | 6% |
Other | 8 | 15% |
Unknown | 17 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 10 | 19% |
Chemical Engineering | 5 | 10% |
Biochemistry, Genetics and Molecular Biology | 5 | 10% |
Engineering | 4 | 8% |
Computer Science | 2 | 4% |
Other | 5 | 10% |
Unknown | 21 | 40% |