p-/n-type conduction in activated carbon NO2 sensors with enhanced low-concentration sensitivity at room temperature

Gas sensors play a vital role in monitoring air quality across a wide range of applications, including industry, transport and healthcare. The present study investigates the nitrogen dioxide (NO 2 ) sensing capability of four commercial activated carbons (ACs), including two coal-based (MSC 30 and CW 30) and two bio-based (A supra and PK1-3) ACs at room temperature (25 °C). The ACs exhibited distinct textural properties, with specific surface areas ranging from 916 to 2233 m 2 g -1 . Key sensing parameters including responses, R and R ci (%), response time, recovery time, sensitivity, linearity, repeatability, reversibility and stability were examined under controlled NO 2 exposures. The fabricated sensors were exposed to continuous cycles of varying NO 2 concentrations, from 1 to 10 ppm, in 1 ppm increments, and from 1 to 20 ppm in 5 ppm increments. The sensors exhibited p- or n- type conduction behavior, depending on the AC, confirmed by Mott-Schottky measurements. Reversible sensing was governed by weak physical interactions (physisorption) of NO 2 gas on the sensor surface and charge transport via charge hopping. These findings offer valuable guidance for selecting appropriate materials in the development of high-performance, room temperature AC-based NO 2 sensors, which are an essential component of effective environmental monitoring.

Institutions

Publication Details

Journal
Carbon
Published
2025-09-27
DOI
https://doi.org/10.1016/j.carbon.2025.120891
Citations
1
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

p-/n-type conduction in activated carbon NO2 sensors with enhanced low-concentration sensitivity at room temperature

1 citations
Carbon
Geochemistry and Geologic Mapping
2.48
article

p-/n-type conduction in activated carbon NO2 sensors with enhanced low-concentration sensitivity at room temperature

article en
1 citations

Abstract

Gas sensors play a vital role in monitoring air quality across a wide range of applications, including industry, transport and healthcare. The present study investigates the nitrogen dioxide (NO 2 ) sensing capability of four commercial activated carbons (ACs), including two coal-based (MSC 30 and CW 30) and two bio-based (A supra and PK1-3) ACs at room temperature (25 °C). The ACs exhibited distinct textural properties, with specific surface areas ranging from 916 to 2233 m 2 g -1 . Key sensing parameters including responses, R and R ci (%), response time, recovery time, sensitivity, linearity, repeatability, reversibility and stability were examined under controlled NO 2 exposures. The fabricated sensors were exposed to continuous cycles of varying NO 2 concentrations, from 1 to 10 ppm, in 1 ppm increments, and from 1 to 20 ppm in 5 ppm increments. The sensors exhibited p- or n- type conduction behavior, depending on the AC, confirmed by Mott-Schottky measurements. Reversible sensing was governed by weak physical interactions (physisorption) of NO 2 gas on the sensor surface and charge transport via charge hopping. These findings offer valuable guidance for selecting appropriate materials in the development of high-performance, room temperature AC-based NO 2 sensors, which are an essential component of effective environmental monitoring.

CarbonVol. 246
Centre National de la Recherche Scientifique (FR), Institut Universitaire de France (FR), Instituto de Carboquímica (ES), Institut Jean Lamour (FR), Université de Lorraine (FR)
Openalex Percentile: Top 7%
Geochemistry and Geologic Mapping
2.48
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.