Evidence map›Paper›PMID 40744968›Full record

ArticleScientific reports2025

Optimization of separation and purification processes in diethyl ether production for improved efficiency and sustainability.

Amin Hedayati Moghaddam, Morteza Esfandyari

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
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.

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

2 authors.

Amin Hedayati MoghaddamDepartment of Chemical Engineering, CT.C., Islamic Azad University, Tehran, Iran. Ami.hedayati_moghaddam@iau.ac.ir.
Morteza EsfandyariDepartment of Chemical Engineering, University of Bojnord, Bojnord, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study focuses on optimizing the separation and purification processes in diethyl ether (DEE) production to enhance energy efficiency, reduce waste, and improve product quality. Utilizing process simulation with Aspen-Hysys-V14, statistical modeling, and optimization techniques, this study investigates operational parameters across key units, including two drums and two distillation columns. Design of experiment was performed using response surface methodology (RSM) and central composite design (CCD). Key results indicate that under optimized conditions, a DEE purity of 96.43% was achieved with total energy consumption of 2,150,566 kJ/h, corresponding to an energy requirement of 1,499,754.87 kJ/kmol of DEE. Scenario-based optimization minimized DEE loss in fuel and vent streams while balancing energy demands. Non-linear relationships between parameters, such as temperature and pressure, were modeled with high predictive accuracy. These findings contribute to the development of sustainable and cost-effective DEE production processes and offer transferable insights for similar chemical manufacturing systems.

Indexed as

Diethyl etherEnergy efficiencyProcess optimizationSustainability

Identifiers

PMID40744968
PMCPMC12313844

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.