Evidence map›Paper›PMID 31835723›Full record

ArticlePolymers2019

Thiol-Affinity Immobilization of Casein-Coated Silver Nanoparticles on Polymeric Membranes for Biofouling Control.

Xiaobo Dong, Halle D Shannon, Atena Amirsoleimani, Gail M Brion, Isabel C Escobar

Abstract read
In one paragraph

Article in Polymers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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

5 authors.

Xiaobo DongDepartment of Chemical and Materials Engineering, University of Kentucky, Lexington, KY 40506, USA.ORCID 0000-0003-2292-9470
Halle D ShannonDepartment of Chemical and Materials Engineering, University of Kentucky, Lexington, KY 40506, USA.
Atena AmirsoleimaniDepartment of Civil Engineering, University of Kentucky, Lexington, KY 40506, USA.ORCID 0000-0001-7066-7140
Gail M BrionDepartment of Civil Engineering, University of Kentucky, Lexington, KY 40506, USA.ORCID 0000-0002-0252-8664
Isabel C EscobarDepartment of Chemical and Materials Engineering, University of Kentucky, Lexington, KY 40506, USA.ORCID 0000-0001-9269-5927

Funding

National Science Foundation 1355438
6 · The paper itself

Abstract

Silver nanoparticles (AgNPs) have been widely studied for the control of biofouling on polymeric membranes due to their antimicrobial properties. However, nanoparticle leaching has posed a significant impediment against their widespread use. In this study, a one-step method of chemically embedding AgNPs on cellulose acetate (CA) membranes via their affinity to thiol group chemistry was investigated. The operational efficiency of the membranes was then determined via filtration and biofouling experiments. During filtration study, the average flux values of pure CA membranes was determined to be 11 ± 2 L/(m2·hr) (LMH), while membranes embedded with AgNPs showed significant increases in flux to 18 ± 2 LMH and 25 ± 9 LMH, with increasing amounts of AgNPs added, which is likely due to the NPs acting as pore formers. Leaching studies, performed both in dead-end and crossflow filtration, showed approximately 0.16 mg/L leaching of AgNPs after the first day of filtration, but afterwards the remaining chemically-attached AgNPs did not leach. Over 97% of AgNPs remained on the membranes after seven days of crossflow leaching filtration studies.

Indexed as

biofoulingleachingSerratia marcescenssilver nanoparticles (AgNPs)ultrafiltration

Identifiers

PMID31835723
PMCPMC6961038

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.