Impact of feed composition on performance of PDMS nanomembrane-based multistage CO2 capture

Carbon dioxide removal is necessary to mitigate the impacts of anthropogenic emissions. Membrane-based CO 2 capture approaches offer portability, scalability, and tunability advantages over sorption-based processes. We developed a benchtop CO 2 capture testbed to experimentally approximate the multistage behavior of a single 200 cm 2 plate-and-frame PDMS nanomembrane module, using a custom feed gas blending station to set each stage's feed composition and estimate multistage performance sequentially. We used this testbed to study the impact of feed composition with respect to CO 2 (0.044% to 10.0%), O 2 (~1% to ~20%), and N 2 on CO 2 capture performance to produce feed streams suitable for subsequent electrochemical CO 2 reduction ([CO 2 ] ≥ 40%). We show that decreasing the O 2 feed concentration by 95% significantly improves performance by reducing the number of required stages to reach [CO 2 ] ≥ 40% by one (for feeds of 1.0% ≤ [CO 2 ] ≤ 5.0%) or two (for feeds of [CO 2 ] < 1.0%). This influence is weaker for CO 2 -rich feeds ([CO 2 ] > 5.0%). These experimental outcomes were corroborated by process simulations. While most prior studies of membrane-based CO 2 capture have focused exclusively on the separation of CO 2 and N 2 , we show conclusively that high O 2 feed content critically impacts CO 2 capture performance and should be considered in system design and technoeconomic analysis. This proof-of-concept study exemplifies the need to emphasize CO 2 /O 2 selectivity as a figure of merit for new membrane materials. Using O 2 removal as a feed pretreatment method may enable nanomembrane-based CO 2 capture from more dilute sources with inexpensive commercial polymers ( e.g. , PDMS) and thus accelerate technological development for sustainable chemical manufacturing using CO 2 . • PDMS nanomembranes offer high CO 2 permeance and sufficient CO 2 selectivity for efficient portable and low-hazard CO 2 capture. • Removing O 2 from CO 2 -lean feeds improves the ability of subsequent stages to further concentrate CO 2 . • The number of stages required to generate CO 2 -rich streams suitable for electrochemical CO 2 conversion depends strongly on the O 2 content of the feed. • Feed composition across four orders of magnitudes, and not permeance which is constant, determines CO 2 recovery rates.

Authors

Institutions

Publication Details

Journal
Chemical Engineering Journal
Published
2026-01-16
DOI
https://doi.org/10.1016/j.cej.2026.173020
Citations
1
Primary Topic
Membrane Separation and Gas Transport
Type
article
Field-Weighted Citation Impact
19.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of feed composition on performance of PDMS nanomembrane-based multistage CO2 capture

V. G. Shah, Roman Selyanchyn, Shigenori Fujikawa, Paul J. A. Kenis et al.
1 citations
Chemical Engineering Journal
Membrane Separation and Gas Transport
19.05
article

Impact of feed composition on performance of PDMS nanomembrane-based multistage CO2 capture

V. G. Shah, Roman Selyanchyn, Shigenori Fujikawa, Paul J. A. Kenis, Chun Yat Sit
article en
1 citations

Abstract

Carbon dioxide removal is necessary to mitigate the impacts of anthropogenic emissions. Membrane-based CO 2 capture approaches offer portability, scalability, and tunability advantages over sorption-based processes. We developed a benchtop CO 2 capture testbed to experimentally approximate the multistage behavior of a single 200 cm 2 plate-and-frame PDMS nanomembrane module, using a custom feed gas blending station to set each stage's feed composition and estimate multistage performance sequentially. We used this testbed to study the impact of feed composition with respect to CO 2 (0.044% to 10.0%), O 2 (~1% to ~20%), and N 2 on CO 2 capture performance to produce feed streams suitable for subsequent electrochemical CO 2 reduction ([CO 2 ] ≥ 40%). We show that decreasing the O 2 feed concentration by 95% significantly improves performance by reducing the number of required stages to reach [CO 2 ] ≥ 40% by one (for feeds of 1.0% ≤ [CO 2 ] ≤ 5.0%) or two (for feeds of [CO 2 ] < 1.0%). This influence is weaker for CO 2 -rich feeds ([CO 2 ] > 5.0%). These experimental outcomes were corroborated by process simulations. While most prior studies of membrane-based CO 2 capture have focused exclusively on the separation of CO 2 and N 2 , we show conclusively that high O 2 feed content critically impacts CO 2 capture performance and should be considered in system design and technoeconomic analysis. This proof-of-concept study exemplifies the need to emphasize CO 2 /O 2 selectivity as a figure of merit for new membrane materials. Using O 2 removal as a feed pretreatment method may enable nanomembrane-based CO 2 capture from more dilute sources with inexpensive commercial polymers ( e.g. , PDMS) and thus accelerate technological development for sustainable chemical manufacturing using CO 2 . • PDMS nanomembranes offer high CO 2 permeance and sufficient CO 2 selectivity for efficient portable and low-hazard CO 2 capture. • Removing O 2 from CO 2 -lean feeds improves the ability of subsequent stages to further concentrate CO 2 . • The number of stages required to generate CO 2 -rich streams suitable for electrochemical CO 2 conversion depends strongly on the O 2 content of the feed. • Feed composition across four orders of magnitudes, and not permeance which is constant, determines CO 2 recovery rates.

Chemical Engineering JournalVol. 529
Kyushu University (JP), University of Illinois Urbana-Champaign (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 3%
Membrane Separation and Gas Transport
19.05
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.