journal article·2021-08

Ultrasensitive Dual‐Mode Humidity Detection Using a Plasmonic‐Photonic Hybrid Waveguide

Yang Shen, Guanchu Wang, Qiushun Zou, Xiaoyi She, Da Cai, Chongjun Jin

Advanced Optical Materials· Volume 9· Issue 16
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Abstract

Abstract Reliable and ultrasensitive humidity detection is essential in industrial process controls, meteorology, and medical diagnostics. In this study, a high‐performance relative humidity (RH) sensor driven by a plasmonic‐photonic hybrid system (PPHS), which supports waveguide modes and surface plasmon polariton mode simultaneously, is proposed. Due to the distinct sensitivities of these two modes to refractive index variation and volume expansion, the dual‐mode RH detection platform offers a unique tool for isolating the individual contribution of each effect and further revealing the mechanism of moisture absorption in a crosslinked PVA film. As an RH sensor, PPHS delivers a wavelength sensitivity of 1.16 nm %RH−1 (40–70 %RH) and an intensity sensitivity of 1.1 dB %RH−1 (55–90 %RH), respectively. Benefited from such an ultrahigh sensitivity, together with excellent recyclability and a quick response time of a few seconds, the PPHS shows an almost identical real‐time RH curve with an even higher resolution (<0.1 %RH) compared to a commercial electrical hygrometer in the practical ambient RH monitoring. The PPHS is further demonstrated as a human breathing sensor and a skin‐humidity‐based noncontact switch, suggesting that the PPHS provides a great potential in medical diagnostics and optical modulation.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Fiber Optic Sensors · Photonic and Optical Devices · Plasmonic and Surface Plasmon Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Optoelectronic Materials and Technologies School of Materials Science and Engineering Sun Yat‐sen University Guangzhou 510275 China

Funding

National Natural Science Foundation of China · Pearl River S and T Nova Program of Guangzhou · China Postdoctoral Science Foundation

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