Semiconducting Cu(I) Framework for Room Temperature NO <sub>2</sub> Sensing via Efficient Charge Transfer

Efficient room-temperature sensors for toxic gases are essential to ensure a safe and healthy life. Conducting frameworks have shown great promise in advancing gas sensing technologies. In this study, two new organic-inorganic frameworks [Cu<sub>2</sub>X<sub>2</sub>(PPh<sub>3</sub>)<sub>2</sub>(L)]<sub>n</sub>, CP1 (X = I) and CP2 (X = Br) have been synthesized using (pyridin-4-yl)-N-(4H-1,2,4-triazol-4-yl)methanimine (L) and triphenylphosphine. These frameworks exhibit distinct structural arrangements to generate 1D coordination polymers (CPs). Due to their semiconducting properties, both CPs are fabricated into conventional interdigitated electrodes by drop-casting. Benefitting from the higher electron density of the Cu(I) center, CP1 demonstrates selective sensing for NO<sub>2</sub> gas with excellent sensitivity and reversibility. The material offers one of the best room temperature NO<sub>2</sub> chemiresistive sensing performances among the MOF/CP-based materials with ultrafast response time (15.5 s @10 ppm). Additionally, convenient synthesis and ease of device fabrication for sensing give the material a distinct advantage. The experimental and theoretical findings collectively suggest that the adsorption of NO<sub>2</sub> on the material's surface and the concomitant effective charge transfer between Cu(I) and NO<sub>2</sub> are key to its efficacious gas sensing capabilities.

Authors

Institutions

Publication Details

Journal
Small
Published
2025-01-27
DOI
https://doi.org/10.1002/smll.202409553
Citations
14
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
10.23

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Semiconducting Cu(I) Framework for Room Temperature NO 2 Sensing via Efficient Charge Transfer

Shaibal Mukherjee, Chandrabhan Patel, Abhinav Raghuvanshi, Srimanta Pakhira et al.
14 citations
Small
Gas Sensing Nanomaterials and Sensors
10.23
article

Semiconducting Cu(I) Framework for Room Temperature NO 2 Sensing via Efficient Charge Transfer

Shaibal Mukherjee, Chandrabhan Patel, Abhinav Raghuvanshi, Srimanta Pakhira, Lokesh Yadav, Dikeshwar Halba, Shivendu Mishra, Dilip Pandey
article en
14 citations

Abstract

Efficient room-temperature sensors for toxic gases are essential to ensure a safe and healthy life. Conducting frameworks have shown great promise in advancing gas sensing technologies. In this study, two new organic-inorganic frameworks [Cu<sub>2</sub>X<sub>2</sub>(PPh<sub>3</sub>)<sub>2</sub>(L)]<sub>n</sub>, CP1 (X = I) and CP2 (X = Br) have been synthesized using (pyridin-4-yl)-N-(4H-1,2,4-triazol-4-yl)methanimine (L) and triphenylphosphine. These frameworks exhibit distinct structural arrangements to generate 1D coordination polymers (CPs). Due to their semiconducting properties, both CPs are fabricated into conventional interdigitated electrodes by drop-casting. Benefitting from the higher electron density of the Cu(I) center, CP1 demonstrates selective sensing for NO<sub>2</sub> gas with excellent sensitivity and reversibility. The material offers one of the best room temperature NO<sub>2</sub> chemiresistive sensing performances among the MOF/CP-based materials with ultrafast response time (15.5 s @10 ppm). Additionally, convenient synthesis and ease of device fabrication for sensing give the material a distinct advantage. The experimental and theoretical findings collectively suggest that the adsorption of NO<sub>2</sub> on the material's surface and the concomitant effective charge transfer between Cu(I) and NO<sub>2</sub> are key to its efficacious gas sensing capabilities.

SmallVol. 21(8)
Indian Institute of Technology Indore (IN), RMIT University (AU)
Department of Science and Technology, Ministry of Science and Technology, India, Ministry of Education, India, Indian Institute of Technology Indore, Science and Engineering Research Board
Responsible consumption and production
Openalex Percentile: Top 2%
Gas Sensing Nanomaterials and Sensors
10.23
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.