Evidence map›Paper›PMID 34577161›Full record

ArticleMolecules (Basel, Switzerland)2021

A Simple One-Step Modification of Shrimp Shell for the Efficient Adsorption and Desorption of Copper Ions.

Changkun Liu, Hui Wen, Kaili Chen, Yanni Chen

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Changkun LiuCollege of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China.
Hui WenCollege of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China.
Kaili ChenCollege of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China.
Yanni ChenCollege of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China.
Shenzhen University · CN

Funding

the National Natural Science Foundation of China 21777105the Shenzhen Science and Technology Foundations JCYJ20180507182040308; JCYJ20170818101137960
6 · The paper itself

Abstract

Removing toxic heavy metal species from aqueous solutions is a point of concern in our society. In this paper, a promising biomass adsorbent, the modified waste shrimp shell (MS), for Cu (II) removal was successfully prepared using a facile and simple one-step modification, making it possible to achieve high-efficiency recycling of the waste NaOH solution as the modification agent. The outcome shows that with the continuous increase in pH, temperature and ion concentration, the adsorption effect of MS on Cu (II) can also be continuously improved. Adsorption isotherm and adsorption kinetics were fitted with the Langmuir isotherm model and the pseudo-second-order model, respectively, and the maximum adsorption capacity of Cu (II) as obtained from the Langmuir isotherm model fitting reached 1.04 mmol/g. The systematic desorption results indicated that the desorption rate of Cu (II) in the MS could reach 100% within 6 min, where HNO

Indexed as

AdsorptionAnimalsCations, DivalentCopperHydrogen-Ion ConcentrationKineticsMicroscopy, Electron, ScanningOsmolar ConcentrationPenaeidaeShellfishSodium HydroxideTemperatureThermodynamicsWaste Disposal, FluidWater Pollutants, ChemicalWater PurificationCations, DivalentCopperSodium HydroxideWater Pollutants, Chemicaladsorption experimentdesorption experimentmodifier recyclingwaste shrimp shells

Identifiers

PMID34577161
PMCPMC8467818
OpenAlexW3200444895

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.