Wearable Image‐Based Colorimetric Sensor for Real‐Time Gas Detection with High Chromaticity DOI Creative Commons
Ji‐Eun Yeo, Joo Hwan Ko, Seung Hyeun Lee

и другие.

Advanced Electronic Materials, Год журнала: 2025, Номер unknown

Опубликована: Апрель 9, 2025

Abstract Flexible gas sensing technologies are essential for a wide range of environments and applications, from wearable devices to large‐scale industrial systems. Among various approaches, colorimetric stands out its distinct advantages, including energy‐free operation, intuitive visual feedback, high resistance environmental disturbances. Leveraging ultrathin resonators, achieves enhanced chromaticity angular stability. In this study, flexible sensor is introduced based on resonator array integrated with polyvinyl alcohol (PVA). This nearly 100% coverage the standard RGB color gamut, enabling precise visually distinguishable detection. Fabricated substrate, it demonstrates remarkable robustness, maintaining consistent under incident light angle variations up 60°. capability, combined rapid response times 180 ms PVA swelling 210 shrinking, highlights sensor's adaptability diverse industrial‐scale monitoring. Furthermore, evaluated volatile organic compounds (VOCs) imaging conditions, showcasing potential image‐based analysis accurate VOC Notably, demonstrated ability detect concentrations that indistinguishable using single by simultaneously analyzing data four arrays.

Язык: Английский

Optically readable synaptic modulators based on Tamm plasmon for adaptive multispectral image processing DOI Creative Commons
Joo Hwan Ko,

Dong Hyun Seo,

Se Yeon Kim

и другие.

iScience, Год журнала: 2025, Номер 28(2), С. 111800 - 111800

Опубликована: Янв. 11, 2025

The increasing demand for visual data processing reveals the limitations of traditional electronic systems in speed, energy efficiency, and adaptability. While optical computing offers a promising alternative, current often lack flexibility required multispectral adaptive tasks. Here, we present an efficient way highly adaptive, image filtering based on active Tamm plasmon resonators. We realize precise control over resonant wavelengths, enabling selective spectral targeting with high-quality factors. To achieve gradual on/off function resonator, integrate PEDOT:PSS, whose doping state modulates its metallic or dielectric properties. partial PEDOT:PSS allows memorizing states, facilitating long-term potentiation depression, is essential forming multiple synaptic states. By combining high modulation depth, theoretically reaching 99%, non-volatile nature stable states subtle saturation, resulting 256 weights.

Язык: Английский

Процитировано

0

Wearable Image‐Based Colorimetric Sensor for Real‐Time Gas Detection with High Chromaticity DOI Creative Commons
Ji‐Eun Yeo, Joo Hwan Ko, Seung Hyeun Lee

и другие.

Advanced Electronic Materials, Год журнала: 2025, Номер unknown

Опубликована: Апрель 9, 2025

Abstract Flexible gas sensing technologies are essential for a wide range of environments and applications, from wearable devices to large‐scale industrial systems. Among various approaches, colorimetric stands out its distinct advantages, including energy‐free operation, intuitive visual feedback, high resistance environmental disturbances. Leveraging ultrathin resonators, achieves enhanced chromaticity angular stability. In this study, flexible sensor is introduced based on resonator array integrated with polyvinyl alcohol (PVA). This nearly 100% coverage the standard RGB color gamut, enabling precise visually distinguishable detection. Fabricated substrate, it demonstrates remarkable robustness, maintaining consistent under incident light angle variations up 60°. capability, combined rapid response times 180 ms PVA swelling 210 shrinking, highlights sensor's adaptability diverse industrial‐scale monitoring. Furthermore, evaluated volatile organic compounds (VOCs) imaging conditions, showcasing potential image‐based analysis accurate VOC Notably, demonstrated ability detect concentrations that indistinguishable using single by simultaneously analyzing data four arrays.

Язык: Английский

Процитировано

0