Evidence map›Paper›PMID 34209824›Full record

ArticlePolymers2021

Fabrication and Application of SERS-Active Cellulose Fibers Regenerated from Waste Resource.

Shengjun Wang, Jiaqi Guo, Yibo Ma, Alan X Wang, Xianming Kong, Qian Yu

Open access · goldAbstract read
In one paragraph

Article in Polymers, 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
0.7field-weighted citation impact, top 36% 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, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 4 institutions in 3 countries.

Shengjun WangSchool of Petrochemical Engineering, Liaoning Petrochemical University, Fushun 113001, China.
Jiaqi GuoJiangsu Co-Innovation Center for Efficient Processing and Utilization of Forest Resources and Joint International Research Lab of Lignocellulosic Functional Materials, Nanjing Forestry University, Nanjing 210037, China.
Yibo MaDepartment of Bioproducts and Biosystems, School of Chemical Engineering, Aalto University, FI-00076 Aalto, Finland.
Alan X WangSchool of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA.
Xianming KongSchool of Petrochemical Engineering, Liaoning Petrochemical University, Fushun 113001, China.ORCID 0000-0001-7622-7744
Qian YuSchool of Petrochemical Engineering, Liaoning Petrochemical University, Fushun 113001, China.
Liaoning Shihua University · CNAalto University · FINanjing Forestry University · CNOregon State University · US

Funding

Department of Education of Liaoning Province L2019011
6 · The paper itself

Abstract

The flexible SERS substrate were prepared base on regenerated cellulose fibers, in which the Au nanoparticles were controllably assembled on fiber through electrostatic interaction. The cellulose fiber was regenerated from waste paper through the dry-jet wet spinning method, an eco-friendly and convenient approach by using ionic liquid. The Au NPs could be controllably distributed on the surface of fiber by adjusting the conditions during the process of assembling. Finite-difference time-domain theoretical simulations verified the intense local electromagnetic fields of plasmonic composites. The flexible SERS fibers show excellent SERS sensitivity and adsorption capability. A typical Raman probe molecule, 4-Mercaptobenzoicacid (4-MBA), was used to verify the SERS cellulose fibers, the sensitivity could achieve to 10

Indexed as

Au NPcontrollably assembleddimetridazoleregenerated cellulose fiberSERS

Identifiers

PMID34209824
PMCPMC8272151
OpenAlexW3177116159

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.