Evidence map›Paper›PMID 30929176›Full record

ArticleEnvironmental science and pollution research international2019

Catalytic hydrolysis of cellulose by phosphotungstic acid-supported functionalized metal-organic frameworks with different electronegative groups.

Jinye Han, Yan Wang, Jinquan Wan, Yongwen Ma

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Bioinspired Cellulase-Mimetic Solid Acid Catalysts for Cellulose Hydrolysis.Frontiers in bioengineering and biotechnology · 2021
    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

4 authors at 1 institution in 1 country.

Jinye HanCollege of Environment and Energy, South China University of Technology, Guangzhou, 510006, China.
Yan WangCollege of Environment and Energy, South China University of Technology, Guangzhou, 510006, China. yanwang@scut.edu.cn.
Jinquan WanCollege of Environment and Energy, South China University of Technology, Guangzhou, 510006, China.
Yongwen MaCollege of Environment and Energy, South China University of Technology, Guangzhou, 510006, China.
South China University of Technology · CN

Funding

National Natural Science Foundation of China 31570568National Natural Science Foundation of China 31670585Science and Technology Planning Project of Guangdong Province, China 2016A020221005Science and Technology Planning Project of Guangdong Province, China 2017A040405022Science and Technology Planning Project of Guangzhou City, China 201607010079Science and Technology Planning Project of Guangzhou City, China 201607020007
6 · The paper itself

Abstract

It is found that strong electronegative groups can selectively adsorb cellulose by hydrogen bonds. Grafting strong negatively charged groups onto catalysts to achieve the functionalization of the catalyst can give it the ability to selectively adsorb cellulose without affecting its catalysis, which is of great significance for the hydrolysis of cellulose. In this study, PTA@MIL-101-X (X = -Br, -NH

Indexed as

AdsorptionCatalysisCelluloseGlucoseHydrogen BondingHydrolysisMetal-Organic FrameworksPhosphotungstic AcidSpectroscopy, Fourier Transform InfraredX-Ray DiffractionCelluloseGlucoseMetal-Organic FrameworksPhosphotungstic AcidCellulose hydrolyzationImmobilizationMetal-organic frameworksMIL-101Phosphotungstic acid

Identifiers

PMID30929176
OpenAlexW2929760230

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.