Evidence map›Paper›PMID 34490573›Full record

ArticleEnvironmental science and pollution research international2022

Cyclodextrin-based supramolecular low melting mixtures: efficient absorbents for volatile organic compounds abatement.

Somenath Panda, Sophie Fourmentin

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Cyclodextrin applications in pharmacy, biology, medicine, and environment.Environmental science and pollution research international · 2022
    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

2 authors at 1 institution in 1 country.

Somenath PandaUniv. Littoral Côte d'Opale, UR 4492, UCEIV, Unité de Chimie Environnementale et Interactions sur le Vivant, SFR Condorcet FR CNRS 3417, F-59140, Dunkerque, France.
Sophie FourmentinUniv. Littoral Côte d'Opale, UR 4492, UCEIV, Unité de Chimie Environnementale et Interactions sur le Vivant, SFR Condorcet FR CNRS 3417, F-59140, Dunkerque, France. lamotte@univ-littoral.fr.ORCID http://orcid.org/0000-0002-4334-0051
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cyclodextrins (CDs) and deep eutectic solvents (DESs) are emerging absorbent materials for the removal of volatile organic compounds (VOCs). In this study, we have used combination of modified CDs and levulinic acid to form four DESs analogs, referred to as supramolecular low-melting mixtures (LMMs), to study their absorption characteristics towards five VOCs, namely acetaldehyde, butanone, dichloromethane, thiophene, and toluene. The supramolecular LMMs showed up to 250-fold reduction in the vapor-liquid partition coefficients compared to water. The overall absorption capacity found to be synergistic and seemed to be dictated by the hydrophobicity of the VOCs. Toluene and dichloromethane were absorbed at 99 and 95% by the supramolecular LMMs, respectively, even at higher concentrations, with a linear relationship between the concentration and absorption capacity. The LMMs also retained their absorption capacities even after five absorption/desorption cycles.

Indexed as

CyclodextrinsVolatile Organic CompoundsDeep Eutectic SolventsGasesTolueneCyclodextrinsDeep Eutectic SolventsGasesTolueneVolatile Organic CompoundsAbsorptionCyclodextrinLow-melting mixturesRemediationVolatile organic compounds

Identifiers

PMID34490573
OpenAlexW3196578259

What OpenQuestion holds

Textmetadata
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.