Qinghua Liu

ORCID: 0009-0006-9841-785X
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About
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Research Areas
  • Ionic liquids properties and applications
  • Electrochemical Analysis and Applications
  • Catalytic Processes in Materials Science
  • Catalysis and Oxidation Reactions
  • Catalysis and Hydrodesulfurization Studies
  • Ferroptosis and cancer prognosis
  • Diabetes and associated disorders
  • Inorganic and Organometallic Chemistry
  • Extraction and Separation Processes
  • Lung Cancer Treatments and Mutations
  • Analytical Chemistry and Chromatography
  • Crystallization and Solubility Studies
  • Surfactants and Colloidal Systems
  • Advanced Chemical Sensor Technologies
  • Chemical and Physical Properties in Aqueous Solutions
  • Carbon dioxide utilization in catalysis
  • Immune Cell Function and Interaction
  • Phase Equilibria and Thermodynamics
  • Cancer Genomics and Diagnostics
  • Petroleum Processing and Analysis
  • Thermodynamic properties of mixtures
  • T-cell and B-cell Immunology
  • Gas Sensing Nanomaterials and Sensors

Beijing University of Chemical Technology
2024-2025

Ganzhou People's Hospital
2025

State Key Laboratory of Chemical Engineering
2025

In green and sustainable chemical development, the efficient capture of volatile organic compounds (VOCs) with novel solvents is recognized as an excellent potential research direction. This study proposes a method to efficiently absorb alcohols (ethanol, n-propanol, isopropyl alcohol) in VOCs emitted from printing factories by ionic liquids (ILs). The COSMO-RS model screened 256 ILs Henry's law constant selectivity coefficient separation performance indexes....

10.1021/acssuschemeng.4c00552 article EN ACS Sustainable Chemistry & Engineering 2024-03-28

Abstract The presence of aromatics in diesel oil significantly reduces its overall quality. Ionic liquids (ILs) combined with extraction technology were proposed to separate three typical bicyclic and two monocyclic from oils. solubility IL raffinate phase was introduced as a crucial factor screening process. accuracy COSMO‐RS model evaluated using 2942 LLE data points. 1,3‐dimethylimidazolium methylsulfate considered suitable extractive solvent. optimal operating conditions identified by...

10.1002/aic.18729 article EN AIChE Journal 2025-01-11

Abstract In the process of butyl rubber production, excessive water content in chloromethane has a significant impact on conversion and molecular weight distribution products. this work, computer‐aided ionic liquids design method was used for solvent dehydration process. The generate‐and‐test utilized to solve mixed‐integer nonlinear programming problem formed A multilayer perceptron trained predict surface tension liquids. Quantum chemical calculations dynamics simulations were employed...

10.1002/aic.18737 article EN AIChE Journal 2025-01-24

Plasma cells serve a crucial role in the human immune system and are important tumor progression. However, specific of plasma cell immune-related genes (PCIGs) progression remains unclear. Therefore, present study aimed to establish risk assessment model for patients with lung adenocarcinoma (LUAD) based on PCIGs. The data used were obtained from Cancer Genome Atlas Gene Expression Omnibus databases. After identifying nine PCIGs, was constructed nomogram developed predicting patient...

10.3892/ol.2025.15017 article EN Oncology Letters 2025-04-07

Abstract A novel screening method integrating theoretical calculations with experimental validation was proposed to select deep eutectic solvents (DESs) for the highly efficient removal of halogenated volatile organic compounds (HVOCs) from exhaust gas. 1,2‐Dichloroethane and dibromomethane were used evaluate reliability this method. Following a meticulous process, tetraethylammonium chloride (TEAC) levulinic acid (Lev) identified as hydrogen bond acceptor donor, respectively, preparation...

10.1002/aic.18858 article EN AIChE Journal 2025-04-15

Abstract A process of simultaneous desulfurization and dehydration flue gas with ionic liquid was explored. The selection completed based on COSMO‐SAC model. Random forest (RF) one‐dimensional convolutional neural network were trained for the prediction CO 2 SO solubility. feature method is designed to remove verbose descriptors. importance analyzed by SHAP analysis. Quantum chemistry calculation molecular dynamics (MD) simulation used investigate type position intermolecular forces. results...

10.1002/aic.18456 article EN AIChE Journal 2024-04-17

Abstract Ionic liquids (ILs) are promising solvents for separating aromatics from fuel oils. However, studies separate polycyclic with ILs rare and insufficient, the impact of solute structure on extraction performance still needs to be determined. In this work, we use 1‐ethyl‐3‐methylimidazolium bis([trifluoromethyl]sulfonyl)imide ([EMIM][NTF 2 ]) as an extractant 1‐methylnaphthalene, quinoline, benzothiophene dodecane mixtures. Liquid–liquid equilibrium experiments identified optimal...

10.1002/aic.18574 article EN AIChE Journal 2024-08-19
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