Dual‐Templated Carbon Aerogel Beads: Preparation, Structure and Applications in Physiological Health Monitoring

ABSTRACT Carbon aerogels beads have gained significant interest owing to their reduced processing times compared to monoliths. However, precise control over their architecture and porosity remains a significant challenge. Here, we introduce a novel dual‐templating strategy using a bio‐based structuring additive and a soft template to regulate shape and microstructure of the resorcinol‐formaldehyde (RF) based carbon aerogel beads. The synthesis process is strategized using central composite design (CCD) in response surface methodology (RSM), and the optimized beads are used to fabricate humidity sensor arrays. The individual and interactive effects of the process variables template:RF mass ratio, density, and I D /I G ratio on humidity sensing performance are further analyzed through the regression equation in RSM. Soft templating of the aerogels delivered optimum internal porous network to enable rapid diffusion of water molecules for humidity sensing through bulk electronic conduction at low humidity to water‐mediated proton conduction at high humidity. The prepared TCA 1 (Templated carbon aerogel) possesses an S BET of 518.2 m 2 g − 1 and a pore volume of 0.03 cm 3 g − 1 . The sensor demonstrated fast response/recovery times of 22/6 s, a sensitivity of 1.27% RH − 1 , and stable operation over repeated cycles, highlighting its potential for continuous humidity monitoring and healthcare applications.

Authors

Institutions

Publication Details

Journal
Small
Published
2026-10-04
DOI
https://doi.org/10.1002/smll.75969
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Dual‐Templated Carbon Aerogel Beads: Preparation, Structure and Applications in Physiological Health Monitoring

Neha Abbasi, Ritu Gupta, Snehraj Gaur, Harun Venkatesan et al.
Small
Gas Sensing Nanomaterials and Sensors
article

Dual‐Templated Carbon Aerogel Beads: Preparation, Structure and Applications in Physiological Health Monitoring

Neha Abbasi, Ritu Gupta, Snehraj Gaur, Harun Venkatesan, Krishna Balasubramanian, Nidhi Bharti
article en

Abstract

ABSTRACT Carbon aerogels beads have gained significant interest owing to their reduced processing times compared to monoliths. However, precise control over their architecture and porosity remains a significant challenge. Here, we introduce a novel dual‐templating strategy using a bio‐based structuring additive and a soft template to regulate shape and microstructure of the resorcinol‐formaldehyde (RF) based carbon aerogel beads. The synthesis process is strategized using central composite design (CCD) in response surface methodology (RSM), and the optimized beads are used to fabricate humidity sensor arrays. The individual and interactive effects of the process variables template:RF mass ratio, density, and I D /I G ratio on humidity sensing performance are further analyzed through the regression equation in RSM. Soft templating of the aerogels delivered optimum internal porous network to enable rapid diffusion of water molecules for humidity sensing through bulk electronic conduction at low humidity to water‐mediated proton conduction at high humidity. The prepared TCA 1 (Templated carbon aerogel) possesses an S BET of 518.2 m 2 g − 1 and a pore volume of 0.03 cm 3 g − 1 . The sensor demonstrated fast response/recovery times of 22/6 s, a sensitivity of 1.27% RH − 1 , and stable operation over repeated cycles, highlighting its potential for continuous humidity monitoring and healthcare applications.

Small
Indian Institute of Technology Delhi (IN)
Arthritis National Research Foundation, Ministry of Education, India, Indian Institute of Technology Delhi, Ministry of Textiles, Government of India
Openalex Percentile: Top 22%
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.