Integrated Sensor for Detecting Hydrogen Concentration as Proxy for Ethylene and Propylene Production Using Pt–Fe and Pt–Cu Catalysts

The increasing demand for ethylene and propylene has stimulated extensive research on propane dehydrogenation (PDH) for short-chain olefin production.However, catalyst deactivation and limited real-time monitoring remain key challenges in microwave-assisted PDH systems.In this study, we investigated waste-derived Pt-based bimetallic catalysts (Pt-Fe and Pt-Cu) and evaluated the feasibility of integrating real-time hydrogen sensing for in situ process monitoring.Waste Pt catalysts were recycled and modified with Fe and Cu, and combined with microwave-absorbing microparticles to enhance energy utilization and catalytic performance.Reactions were conducted at 450 W for 360 min with a propane feed rate of 10 mL/min.Hydrogen concentration was continuously monitored using a Siemens Calomat 62 sensor installed in the tail gas line, enabling the real-time evaluation of catalyst activity and deactivation behavior.This work presents a novel strategy by integrating sustainable Pt catalyst recycling with in situ hydrogen sensing for microwave-assisted PDH monitoring.The Pt-Fe catalyst produced 7.5% ethylene and 3.0% propylene with 69.4% hydrogen, whereas Pt-Cu exhibited superior performance with 9.5% ethylene, 11.9% propylene, and 78.8% hydrogen.SEM analysis revealed distinct coke morphologies associated with catalyst deactivation.The results demonstrate that combining bimetallic catalyst modification with hydrogen sensing significantly improves process monitoring and performance evaluation in microwave-assisted PDH systems.Further studies on long-term stability and scale-up are required for industrial application.

Authors

Publication Details

Journal
Sensors and Materials
Published
2026-05-29
DOI
https://doi.org/10.18494/sam6303
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrated Sensor for Detecting Hydrogen Concentration as Proxy for Ethylene and Propylene Production Using Pt–Fe and Pt–Cu Catalysts

Chih Ju G. Jou, Chienli Lee, Tsung-Yueh Tsai
Sensors and Materials
Gas Sensing Nanomaterials and Sensors
article

Integrated Sensor for Detecting Hydrogen Concentration as Proxy for Ethylene and Propylene Production Using Pt–Fe and Pt–Cu Catalysts

Chih Ju G. Jou, Chienli Lee, Tsung-Yueh Tsai
article en

Abstract

The increasing demand for ethylene and propylene has stimulated extensive research on propane dehydrogenation (PDH) for short-chain olefin production.However, catalyst deactivation and limited real-time monitoring remain key challenges in microwave-assisted PDH systems.In this study, we investigated waste-derived Pt-based bimetallic catalysts (Pt-Fe and Pt-Cu) and evaluated the feasibility of integrating real-time hydrogen sensing for in situ process monitoring.Waste Pt catalysts were recycled and modified with Fe and Cu, and combined with microwave-absorbing microparticles to enhance energy utilization and catalytic performance.Reactions were conducted at 450 W for 360 min with a propane feed rate of 10 mL/min.Hydrogen concentration was continuously monitored using a Siemens Calomat 62 sensor installed in the tail gas line, enabling the real-time evaluation of catalyst activity and deactivation behavior.This work presents a novel strategy by integrating sustainable Pt catalyst recycling with in situ hydrogen sensing for microwave-assisted PDH monitoring.The Pt-Fe catalyst produced 7.5% ethylene and 3.0% propylene with 69.4% hydrogen, whereas Pt-Cu exhibited superior performance with 9.5% ethylene, 11.9% propylene, and 78.8% hydrogen.SEM analysis revealed distinct coke morphologies associated with catalyst deactivation.The results demonstrate that combining bimetallic catalyst modification with hydrogen sensing significantly improves process monitoring and performance evaluation in microwave-assisted PDH systems.Further studies on long-term stability and scale-up are required for industrial application.

Sensors and MaterialsVol. 38(5)
Affordable and clean energy
Openalex Percentile: Top 9%
Gas Sensing Nanomaterials and Sensors
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.