Additive-mediated interfacial engineering of H2SO4-catalyzed isobutane alkylation from molecular design to industrial process intensification

Understanding and correlation of the multiscale interfacial mass transport behaviors mediated by the additive for liquid/liquid dispersion system is challenging. Here, we propose interfacial mass transfer flux through the quantitative coupling between microscopic interfacial parameters and mesoscopic droplet mass transfer model for H<sub>2</sub>SO<sub>4</sub>-catalyzed isobutane alkylation with emphasis on additive molecular design to industrial process intensification. Microscopic interfacial parameters are incorporated into CFD-PBM model to determine interfacial mass transfer flux of isobutane (N<sub>isobutane</sub>). Based on the ratio of N<sub>isobutane</sub> in the system with and without the additives, the interfacial enhancement factor E is proposed and validated as an indicator for optimal additive screening. Decoupled N<sub>isobutane</sub> from apparent kinetic model, mass transfer-free kinetic parameters of isobutane alkylation are determined, quantitatively confirming the reaction is mass transfer controlled. Additive-mediated process intensification reveals PPG400 additive increases alkylate capacity by 24.85% up to 99.83 kt/a from 79.96 kt/a in additive-free system.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-03-21
DOI
https://doi.org/10.1038/s41467-026-70828-y
Primary Topic
Innovative Microfluidic and Catalytic Techniques Innovation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Additive-mediated interfacial engineering of H2SO4-catalyzed isobutane alkylation from molecular design to industrial process intensification

Liguo Zhao, Zhihong Ma, Weizhong Zheng, Yijie Ding et al.
Nature Communications
Innovative Microfluidic and Catalytic Techniques Innovation
article

Additive-mediated interfacial engineering of H2SO4-catalyzed isobutane alkylation from molecular design to industrial process intensification

Liguo Zhao, Zhihong Ma, Weizhong Zheng, Yijie Ding, Weizhen Sun, Wenli Du
article en

Abstract

Understanding and correlation of the multiscale interfacial mass transport behaviors mediated by the additive for liquid/liquid dispersion system is challenging. Here, we propose interfacial mass transfer flux through the quantitative coupling between microscopic interfacial parameters and mesoscopic droplet mass transfer model for H<sub>2</sub>SO<sub>4</sub>-catalyzed isobutane alkylation with emphasis on additive molecular design to industrial process intensification. Microscopic interfacial parameters are incorporated into CFD-PBM model to determine interfacial mass transfer flux of isobutane (N<sub>isobutane</sub>). Based on the ratio of N<sub>isobutane</sub> in the system with and without the additives, the interfacial enhancement factor E is proposed and validated as an indicator for optimal additive screening. Decoupled N<sub>isobutane</sub> from apparent kinetic model, mass transfer-free kinetic parameters of isobutane alkylation are determined, quantitatively confirming the reaction is mass transfer controlled. Additive-mediated process intensification reveals PPG400 additive increases alkylate capacity by 24.85% up to 99.83 kt/a from 79.96 kt/a in additive-free system.

Nature Communications
East China University of Science and Technology (CN), State Key Laboratory of Chemical Engineering (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 14%
Innovative Microfluidic and Catalytic Techniques Innovation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.