Evidence map›Paper›PMID 42395972›Full record

ArticleACS omega2026

Rigorous Modeling and Industrial-Scalable Optimization of Hydroquinone-Catechol Vacuum Distillation: Aspen Plus-RSM Integration for Thermally Labile Systems.

Chenglei Wang, Yihong Zeng, Mingwu Yi, Mengqi Yang, Shusheng Qiu, Yuanjian Xie, Pingxiong Cai

Abstract read
In one paragraph

Article in ACS omega, 2026. 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

7 authors.

Chenglei WangGuangxi Key Laboratory of Green Chemical Materials and Safety Technology, College of Petroleum and Chemical Engineering, Beibu Gulf University, Qinzhou, Guangxi 535011, China.ORCID https://orcid.org/0009-0008-6938-4643
Yihong ZengShanghai Research Institute of Chemical Industry Company, Ltd., Shanghai 200062, China.
Mingwu YiGuangxi Huayi New Materials Company, Ltd., Qinzhou, Guangxi 535000, China.
Mengqi YangGuangxi Key Laboratory of Green Chemical Materials and Safety Technology, College of Petroleum and Chemical Engineering, Beibu Gulf University, Qinzhou, Guangxi 535011, China.
Shusheng QiuGuangxi Key Laboratory of Green Chemical Materials and Safety Technology, College of Petroleum and Chemical Engineering, Beibu Gulf University, Qinzhou, Guangxi 535011, China.
Yuanjian XieGuangxi Key Laboratory of Green Chemical Materials and Safety Technology, College of Petroleum and Chemical Engineering, Beibu Gulf University, Qinzhou, Guangxi 535011, China.ORCID https://orcid.org/0009-0000-8112-4336
Pingxiong CaiGuangxi Key Laboratory of Green Chemical Materials and Safety Technology, College of Petroleum and Chemical Engineering, Beibu Gulf University, Qinzhou, Guangxi 535011, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To address the critical challenges of high energy consumption and low efficiency in conventional hydroquinone (HQ)-catechol (CAT) purification, this study presents a systematic computational investigation of vacuum distillation via Aspen Plus. Leveraging HQ and CAT's thermal sensitivity and nonazeotropic behavior (40.0 °C boiling point difference at 101.325 kPa), an accurate thermodynamic framework is built using the NRTL (non-random two-liquid) activity coefficient model, with parameters calibrated via UNIFAC and the Aspen database. A vacuum distillation configuration (column, condenser, reboiler) is initialized with 100 kg·h

Identifiers

PMID42395972
PMCPMC13325387

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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.