Evidence map›Paper›PMID 34940292›Full record

ArticleGels (Basel, Switzerland)2021

Tandem Osmotic Engine Based on Hydrogel Particles with Antipolyelectrolyte and Polyelectrolyte Effect Fuelled by Both Salinity Gradient Modes.

Anjali Cheeramthodi Padmanabhan, Dong Suk Han, Sifani Zavahir, Jan Tkac, Peter Kasak

Open access · goldAbstract read
In one paragraph

Article in Gels (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 85% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 2 countries.

Anjali Cheeramthodi PadmanabhanCenter for Advanced Materials, Qatar University, Doha P.O. Box 2713, Qatar.
Dong Suk HanCenter for Advanced Materials, Qatar University, Doha P.O. Box 2713, Qatar.
Sifani ZavahirCenter for Advanced Materials, Qatar University, Doha P.O. Box 2713, Qatar.
Jan TkacInstitute of Chemistry, Slovak Academy of Sciences, Dubravska Cesta 9, 84538 Bratislava, Slovakia.ORCID 0000-0002-0765-7262
Peter KasakCenter for Advanced Materials, Qatar University, Doha P.O. Box 2713, Qatar.ORCID 0000-0003-4557-1408
Qatar University · QAInstitute of Chemistry of the Slovak Academy of Sciences · SK

Funding

Qatar Foundation NPRP13S-0202-200228Qatar University IRCC-2020-004
6 · The paper itself

Abstract

In this study, we propose a new approach to attain energy by salinity gradient engines with pistons based on hydrogels possessing polyelectrolyte and antipolyelectrolyte effects in a tandem arrangement, providing energy in each salinity gradient mode in a repeatable manner. The swelling of hydrogel with a polyelectrolyte effect and shrinking of hydrogel particles possessing an antipolyelectrolyte effect in desalinated water, and subsequent shrinking of hydrogel with polyelectrolyte and swelling of hydrogel antipolyelectrolyte effect in saline water, generate power in both increasing and decreasing salinity modes. To investigate the energy recovery, we scrutinized osmotic engine assemblies by a setup arrangement of pistons with hydrogel particles, with polyelectrolyte and antipolyelectrolyte effects, in tandem. The energy recovery from the tandem engine setup (calculated based on dry form for each polyelectrolyte polyacrylate-based hydrogel-SPA) and antipolyelectrolyte-sulfobetaine-based gel with methacrylate polymeric backbone-SBE) up to 581 J kg

Indexed as

antipolyelectrolyte effectenergy recoveryhydrogelpolyelectrolyte effectsalinity gradient energy

Identifiers

PMID34940292
PMCPMC8701980
OpenAlexW3216528365

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.