Evidence map›Paper›PMID 24970184›Full record

ArticleBiomolecules2013

Fungal Beta-glucosidases: a bottleneck in industrial use of lignocellulosic materials.

Annette Sørensen, Mette Lübeck, Peter S Lübeck, Birgitte K Ahring

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
9.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

75 citing papers in PubMed, 262 citations in OpenAlex.

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  12. Optimisation ofInternational journal of molecular sciences · 2023
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  14. Characterization of a New Glucose-Tolerant GH1 β-Glycosidase fromInternational journal of molecular sciences · 2023
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15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Annette SørensenSection for Sustainable Biotechnology, Aalborg University Copenhagen, A C Meyers Vaenge 15, 2450 Copenhagen SV, Denmark. aso@bio.aau.dk.
Mette LübeckSection for Sustainable Biotechnology, Aalborg University Copenhagen, A C Meyers Vaenge 15, 2450 Copenhagen SV, Denmark. mel@bio.aau.dk.
Peter S LübeckSection for Sustainable Biotechnology, Aalborg University Copenhagen, A C Meyers Vaenge 15, 2450 Copenhagen SV, Denmark. psl@bio.aau.dk.
Birgitte K AhringSection for Sustainable Biotechnology, Aalborg University Copenhagen, A C Meyers Vaenge 15, 2450 Copenhagen SV, Denmark. bka@bio.aau.dk.
Aalborg University · DKWashington State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Profitable biomass conversion processes are highly dependent on the use of efficient enzymes for lignocellulose degradation. Among the cellulose degrading enzymes, beta-glucosidases are essential for efficient hydrolysis of cellulosic biomass as they relieve the inhibition of the cellobiohydrolases and endoglucanases by reducing cellobiose accumulation. In this review, we discuss the important role beta-glucosidases play in complex biomass hydrolysis and how they create a bottleneck in industrial use of lignocellulosic materials. An efficient beta-glucosidase facilitates hydrolysis at specified process conditions, and key points to consider in this respect are hydrolysis rate, inhibitors, and stability. Product inhibition impairing yields, thermal inactivation of enzymes, and the high cost of enzyme production are the main obstacles to commercial cellulose hydrolysis. Therefore, this sets the stage in the search for better alternatives to the currently available enzyme preparations either by improving known or screening for new beta-glucosidases.

Identifiers

PMID24970184
PMCPMC4030957
OpenAlexW2166137139

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.