Miniature Nanomesh Mechano‐Acoustic Sensor with Wide Linear Dynamic Range, Broad Bandwidth, and Flat Frequency Response

Abstract Growing interest has been devoted to developing soft sensors capable of detecting mechano‐acoustic signals, as many vital physiological signals manifest as broadband cues beyond quasi‐static regimes. Electrospun nanomeshes (NMs) have emerged as promising candidates due to their lightweight structure, superior flexibility, and efficient mechanoelectrical conversion. However, current NM‐based sensors relying on piezoelectric or triboelectric mechanisms suffer from non‐flat frequency responses, nonlinear sensitivities, and large form factors. Here, a soft polyvinylidene fluoride (PVDF) NM‐based capacitive sensor is presented that overcomes these limitations. Distinct from conventional NM designs, the PVDF NM functions as the diaphragm in a capacitive sensor, self‐generating the bias voltage required for its operation. This capacitive architecture enables substantial miniaturization, while the porous NM structure improves air permeability and reduces air damping. The resulting sensor delivers a flat frequency response (80–3000 Hz), high linear sensitivity (313 mV g −1 ), and an ultracompact size (0.25 cm 2 ), offering exceptional performance across key metrics. Its soft, skin‐conformal design allows seamless adhesion to the neck for accurate detection of broadband physiological signals—including voice and coughs—positioning it as a promising platform for voice‐driven IoT, human–machine interfaces, and mobile healthcare.

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Publication Details

Journal
Advanced Functional Materials
Published
2026-02-05
DOI
https://doi.org/10.1002/adfm.202513535
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

Miniature Nanomesh Mechano‐Acoustic Sensor with Wide Linear Dynamic Range, Broad Bandwidth, and Flat Frequency Response

K. Cho, Woongji Kim, Jeng‐Hun Lee, Seojin Yun et al.
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
article

Miniature Nanomesh Mechano‐Acoustic Sensor with Wide Linear Dynamic Range, Broad Bandwidth, and Flat Frequency Response

K. Cho, Woongji Kim, Jeng‐Hun Lee, Seojin Yun, Yoonyoung Chung, Yunsik Kim, Wonkyu Moon, Siyoung Lee
article en

Abstract

Abstract Growing interest has been devoted to developing soft sensors capable of detecting mechano‐acoustic signals, as many vital physiological signals manifest as broadband cues beyond quasi‐static regimes. Electrospun nanomeshes (NMs) have emerged as promising candidates due to their lightweight structure, superior flexibility, and efficient mechanoelectrical conversion. However, current NM‐based sensors relying on piezoelectric or triboelectric mechanisms suffer from non‐flat frequency responses, nonlinear sensitivities, and large form factors. Here, a soft polyvinylidene fluoride (PVDF) NM‐based capacitive sensor is presented that overcomes these limitations. Distinct from conventional NM designs, the PVDF NM functions as the diaphragm in a capacitive sensor, self‐generating the bias voltage required for its operation. This capacitive architecture enables substantial miniaturization, while the porous NM structure improves air permeability and reduces air damping. The resulting sensor delivers a flat frequency response (80–3000 Hz), high linear sensitivity (313 mV g −1 ), and an ultracompact size (0.25 cm 2 ), offering exceptional performance across key metrics. Its soft, skin‐conformal design allows seamless adhesion to the neck for accurate detection of broadband physiological signals—including voice and coughs—positioning it as a promising platform for voice‐driven IoT, human–machine interfaces, and mobile healthcare.

Advanced Functional MaterialsVol. 36(20)
Pohang University of Science and Technology (KR)
National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 66%
Advanced Sensor and Energy Harvesting Materials
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Miniature Nanomesh Mechano‐Acoustic Sensor with Wide Linear Dynamic Range, Broad Bandwidth, and Flat Frequency Response — K. Cho, Woongji Kim, et al. · Advanced Functional Materials (2026) | TGRS Research Map | TGRS