| Title |
A novel automatable enzyme-coupled colorimetric assay for endo-1,4-β-glucanase (cellulase)
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, April 2016
|
| DOI | 10.1007/s00216-016-9507-y |
| Pubmed ID | |
| Authors |
David Mangan, Claudio Cornaggia, Vincent McKie, Tadas Kargelis, Barry V. McCleary |
| Abstract |
endo-1,4-β-Glucanase (endo-cellulase, EC 3.2.1.4) is one of the most widely used enzymes in industry. Despite its importance, improved methods for the rapid, selective, quantitative assay of this enzyme have been slow to emerge. In 2014, a novel enzyme-coupled assay that addressed many of the limitations of the existing assay methodology was reported. This involved the use of a bifunctional substrate chemically derived from cellotriose. Reported herein is a much improved version of this assay employing a novel substrate, namely 4,6-O-(3-ketobutylidene)-4-nitrophenyl-β-D-cellopentaoside. Graphical Abstract Principle of the CELLG5 assay. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 36% |
| Student > Master | 11 | 28% |
| Other | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Professor > Associate Professor | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 33% |
| Agricultural and Biological Sciences | 12 | 31% |
| Chemistry | 4 | 10% |
| Chemical Engineering | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 7 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 April 2016.
All research outputs
#16,737,737
of 25,394,764 outputs
Outputs from Analytical & Bioanalytical Chemistry
#5,272
of 9,624 outputs
Outputs of similar age
#184,142
of 315,813 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#57
of 135 outputs
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So far Altmetric has tracked 9,624 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.