Evidence map›Paper›PMID 33920963›Full record

ArticleMaterials (Basel, Switzerland)2021

A Model Procedure for Catalytic Conversion of Waste Cotton into Useful Chemicals.

Michal J Binczarski, Justyna Malinowska, Andrei Stanishevsky, Courtney J Severino, Riley Yager, Malgorzata Cieslak, Izabela A Witonska

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Materials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

7 authors at 3 institutions in 2 countries.

Michal J BinczarskiInstitute of General and Ecological Chemistry, Lodz University of Technology, 116 Zeromskiego Street, 90-924 Lodz, Poland.
Justyna MalinowskaInstitute of General and Ecological Chemistry, Lodz University of Technology, 116 Zeromskiego Street, 90-924 Lodz, Poland.ORCID 0000-0002-8184-9940
Andrei StanishevskyDepartment of Physics, University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL 35294, USA.
Courtney J SeverinoDepartment of Physics, University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL 35294, USA.
Riley YagerDepartment of Physics, University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL 35294, USA.
Malgorzata CieslakŁUKASIEWICZ Research Network-Textile Institute, Department of Textile Chemical Technologies, 118 Gdanska Street, 90-520 Lodz, Poland.ORCID 0000-0001-9867-7789
Izabela A WitonskaInstitute of General and Ecological Chemistry, Lodz University of Technology, 116 Zeromskiego Street, 90-924 Lodz, Poland.ORCID 0000-0001-9593-5818
Lodz University of Technology · PLUniversity of Alabama at Birmingham · USŁukasiewicz Research Network - Textile Research Institute · PL

Funding

Narodowe Centrum Nauki 2019/33/B/ST8/02005
6 · The paper itself

Abstract

Cotton is grown in about 90 countries and accounts for 24% of the fibers used in the global production of textiles. In 2018/2019, 25.8 Mt of cotton were produced around the world. Since this natural product consists mainly of cellulose, it can be used as a raw material in the so-called "sugar economy". This paper discusses a model procedure for thermally assisted acidic hydrolysis of cotton into glucose and subsequent oxidation of the glucose into calcium gluconate over Pd-Au/SiO

Indexed as

acidic hydrolysiscotton waste utilizationPd-Au/SiO2 catalyst

Identifiers

PMID33920963
PMCPMC8071283
OpenAlexW3156194755

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.