Evidence map›Paper›PMID 38347186›Full record

ArticleCommunications chemistry2024

Estimating the phase diagrams of deep eutectic solvents within an extensive chemical space.

Adroit T N Fajar, Takafumi Hanada, Aditya D Hartono, Masahiro Goto

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Terpene-Based Eutectic Solvent Microdroplets: A Strategy to Combat Antibiotic-ResistantLangmuir : the ACS journal of surfaces and colloids · 2025
    Article
  5. The Single-Parameter Bragg-Williams Model for Eutectic Solvents.International journal of molecular sciences · 2025
    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.

Adroit T N FajarDepartment of Applied Chemistry, Graduate School of Engineering, Kyushu University, 744 Motooka, Fukuoka, 819-0395, Japan.
Takafumi HanadaDepartment of Applied Chemistry, Graduate School of Technology, Industrial and Social Science, Tokushima University, 2-1 Minamijosanjima, Tokushima, 770-8506, Japan.ORCID http://orcid.org/0000-0003-3001-5716
Aditya D HartonoMathematical Modeling Laboratory, Department of Agro-environmental Sciences, Faculty of Agriculture, Kyushu University, 744 Motooka, Fukuoka, 819-0395, Japan.
Masahiro GotoDepartment of Applied Chemistry, Graduate School of Engineering, Kyushu University, 744 Motooka, Fukuoka, 819-0395, Japan. m-goto@mail.cstm.kyushu-u.ac.jp.ORCID http://orcid.org/0000-0002-2008-9351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing the formation of a deep eutectic solvent (DES) necessitates a solid-liquid equilibrium phase diagram. Yet, many studies focusing on DES applications do not include this diagram because of challenges in measurement, leading to misidentified eutectic points. The present study provides a practical approach for estimating the phase diagram of any binary mixture from the structural information, utilizing machine learning and quantum chemical techniques. The selected machine learning model provides reasonably high accuracy in predicting melting point (R

Identifiers

PMID38347186
PMCPMC10861527

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Registered trials

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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.