Evidence map›Paper›PMID 36234740›Full record

ArticleMolecules (Basel, Switzerland)2022

Design of Deep Eutectic Systems: Plastic Crystalline Materials as Constituents.

Ahmad Alhadid, Sahar Nasrallah, Liudmila Mokrushina, Mirjana Minceva

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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.

Ahmad AlhadidBiothermodynamics, TUM School of Life Sciences, Technical University of Munich (TUM), Maximus-von-Imhof-Forum 2, 85354 Freising, Germany.ORCID 0000-0003-1443-1517
Sahar NasrallahBiothermodynamics, TUM School of Life Sciences, Technical University of Munich (TUM), Maximus-von-Imhof-Forum 2, 85354 Freising, Germany.
Liudmila MokrushinaSeparation Science & Technology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Egerlandstr. 3, 91058 Erlangen, Germany.
Mirjana MincevaBiothermodynamics, TUM School of Life Sciences, Technical University of Munich (TUM), Maximus-von-Imhof-Forum 2, 85354 Freising, Germany.ORCID 0000-0001-9820-7410

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep eutectic solvents (DESs) are a class of green and tunable solvents that can be formed by mixing constituents having very low melting entropies and enthalpies. As types of materials that meet these requirements, plastic crystalline materials (PCs) with highly symmetrical and disordered crystal structures can be envisaged as promising DES constituents. In this work, three PCs, namely, neopentyl alcohol, pivalic acid, and neopentyl glycol, were studied as DES constituents. The solid-plastic transitions and melting properties of the pure PCs were studied using differential scanning calorimetry. The solid-liquid equilibrium phase diagrams of four eutectic systems containing the three PCs, i.e., L-menthol/neopentyl alcohol, L-menthol/pivalic acid, L-menthol/neopentyl glycol, and choline chloride/neopentyl glycol, were measured. Despite showing near-ideal behavior, the four studied eutectic systems exhibited depressions at the eutectic points, relative to the melting temperatures of the pure constituents, that were similar to or even larger than those of strongly nonideal eutectic systems. These findings highlight that a DES can be formed when PCs are used as constituents, even if the eutectic system is ideal.

Indexed as

deep eutectic solventsdifferential scanning calorimetrygreen solventsmelting propertiessolid–liquid equilibriasolid–solid transition

Identifiers

PMID36234740
PMCPMC9573734

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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.