Evidence map›Paper›PMID 37982085›Full record

Review3 Biotech2023

Glycoside hydrolases in the biodegradation of lignocellulosic biomass.

Honglin Lu, Maoyuan Xue, Xinling Nie, Hongzheng Luo, Zhongbiao Tan, Xiao Yang, Hao Shi, Xun Li, Tao Wang

Abstract readReview
In one paragraph

Review in 3 Biotech, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Xylose and ethanol stimulate a thermostable β-glucosidase from Humicola brevis var. thermoidea.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
    Article
  6. Review
  7. Review
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

9 authors.

Honglin LuFaculty of Life Science and Food Engineering, Huaiyin Institute of Technology, Huaian, 223003 China.
Maoyuan XueFaculty of Life Science and Food Engineering, Huaiyin Institute of Technology, Huaian, 223003 China.
Xinling NieFaculty of Life Science and Food Engineering, Huaiyin Institute of Technology, Huaian, 223003 China.
Hongzheng LuoFaculty of Life Science and Food Engineering, Huaiyin Institute of Technology, Huaian, 223003 China.
Zhongbiao TanFaculty of Life Science and Food Engineering, Huaiyin Institute of Technology, Huaian, 223003 China.
Xiao YangDepartment of Poultry Science, The University of Georgia, Athens, GA 30602 USA.
Hao ShiFaculty of Life Science and Food Engineering, Huaiyin Institute of Technology, Huaian, 223003 China.ORCID 0000-0001-6102-7723
Xun LiJiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Jiangsu Provincial Key Lab for the Chemistry and Utilization of Agro-Forest Biomass, College of Chemical Engineering, Nanjing Forestry University, Nanjing, 210037 China.
Tao WangDepartment of Microbiology, The University of Georgia, Athens, GA 30602 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lignocellulose is a plentiful and intricate biomass substance made up of cellulose, hemicellulose, and lignin. Cellulose and hemicellulose are polysaccharides characterized by different compositions and degrees of polymerization. As renewable resources, their applications are eco-friendly and can help reduce reliance on petrochemical resources. This review aims to illustrate cellulose, hemicellulose, and their structures and hydrolytic enzymes. To obtain desirable enzyme sources for the high hydrolysis of lignocellulose, highly stable, efficient and thermophilic enzyme sources, and new technologies, such as rational design and machine learning, have been introduced in detail. Generally, the efficient biodegradation of abundant natural biomass into fermentable sugars or other intermediates has great potential in practical applications. Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-023-03819-1.

Indexed as

CellulaseCelluloseHemicellulaseHemicelluloseMachine learning

Identifiers

PMID37982085
PMCPMC10654287

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.