Evidence map›Paper›PMID 26202492›Full record

ArticleMolecular biotechnology2015

Heterogeneous Expression and Functional Characterization of Cellulose-Degrading Enzymes from Aspergillus niger for Enzymatic Hydrolysis of Alkali Pretreated Bamboo Biomass.

Nasir Ali, Zhang Ting, Hailong Li, Yong Xue, Lihui Gan, Jian Liu, Minnan Long

Abstract read
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In one paragraph

Article in Molecular biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Production of RecombinantEnzyme research · 2017
    Article
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

7 authors at 1 institution in 1 country.

Nasir AliSchool of Life Science, Xiamen University, Xiamen, 361005, People's Republic of China, nasir.biotech@yahoo.com.
Zhang Ting
Hailong Li
Yong Xue
Lihui Gan
Jian Liu
Minnan Long
Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enzymatic hydrolysis of cellulosic biomass has caught much attention because of modest reaction conditions and environment friendly conditions. To reduce the cost and to achieve good quantity of cellulases, a heterologous expression system is highly favored. In this study, cellulose-degrading enzymes, GH3 family β-glucosidase (BGL), GH7 family-related cellobiohydrolases (CBHs), and endoglucanase (EG) from a newly isolated Aspergillus niger BE-2 are highly expressed in Pichia pastoris GS115. The strain produced EG, CBHs, and BGL enzymatic concentration of 0.56, 0.11, and 22 IU/mL, respectively. Mode of actions of the recombinant enzymes for substrate specificity and end product analysis are verified and found specific for cellulose degradation. Bamboo biomass saccharification with A. niger cellulase released a high level of fermentable sugars. Hydrolysis parameters are optimized to obtain reducing sugars level of 3.18 g/L. To obtain reducing sugars from a cellulosic biomass, A. niger could be a good candidate for enzymes resource of cellulase to produce reducing sugars from a cellulosic biomass. This study also facilitates the development of highly efficient enzyme cocktails for the bioconversion of lignocellulosic biomass into monosaccharides and oligosaccharides.

Indexed as

AlkaliesAspergillus nigerbeta-GlucosidaseBiomassCarbohydrate MetabolismCellulaseCelluloseCellulose 1,4-beta-CellobiosidaseAlkaliesbeta-GlucosidaseCellulaseCelluloseCellulose 1,4-beta-Cellobiosidase

Identifiers

PMID26202492
OpenAlexW1437211253

What OpenQuestion holds

Textmetadata
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.