Evidence map›Paper›PMID 23202922›Full record

ArticleInternational journal of molecular sciences2012

Preparation of a Cu(II)-PVA/PA6 composite nanofibrous membrane for enzyme immobilization.

Quan Feng, Bin Tang, Qufu Wei, Dayin Hou, Songmei Bi, Anfang Wei

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.5field-weighted citation impact, top 10% 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, 31 citations in OpenAlex.

  1. Article
  2. Tunable Polymeric Scaffolds for Enzyme Immobilization.Frontiers in bioengineering and biotechnology · 2020
    Review
  3. Article
  4. 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

6 authors at 2 institutions in 1 country.

Quan FengKey Laboratory of Eco-Textiles (Ministry of Education), Jiangnan University, Wuxi 214122, China. qfwei@jiangnan.edu.cn.
Bin Tang
Qufu Wei
Dayin Hou
Songmei Bi
Anfang Wei
Anhui Polytechnic University · CNJiangnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PVA/PA6 composite nanofibers were formed by electrospinning. Cu(II)-PVA/PA6 metal chelated nanofibers, prepared by the reaction between PVA/PA6 composite nanofibers and Cu2+ solution, were used as the support for catalase immobilization. The result of the experiments showed that PVA/PA6 composite nanofibers had an excellent chelation capacity for Cu2+ ions, and the structures of nanofibers were stable during the reaction with Cu2+ solution. The adsorption of Cu(II) onto PVA/PA6 composite nanofibers was studied by the Langmuir isothermal adsorption model. The maximum amount of coordinated Cu(II) (q(m)) was 3.731 mmol/g (dry fiber), and the binding constant (K(l)) was 0.0593 L/mmol. Kinetic parameters were analyzed for both immobilized and free catalases. The value of V(max) (3774 μmol/mg·min) for the immobilized catalases was smaller than that of the free catalases (4878 μmol/mg·min), while the K(m) for the immobilized catalases was larger. The immobilized catalases showed better resistance to pH and temperature than that of free form, and the storage stabilities, reusability of immobilized catalases were significantly improved. The half-lives of free and immobilized catalases were 8 days and 24 days, respectively.

Indexed as

CaprolactamCatalaseCopperEnzymes, ImmobilizedHydrogen-Ion ConcentrationKineticsNanofibersPolymersPolyvinyl AlcoholTemperatureCaprolactamCatalaseCopperEnzymes, Immobilizednylon 6PolymersPolyvinyl Alcohol

Identifiers

PMID23202922
PMCPMC3497296
OpenAlexW2044517685

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.