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  • Reduction of temperature dr...
    Miyamura, Shogo; Higaki, Masayuki; Taue, Shuji; Nakajima, Yoshiaki; Tokizane, Yu; Hase, Eiji; Minamikawa, Takeo; Yasui, Takeshi

    Journal of lightwave technology, 05/2024
    Journal Article

    Refractive-index (RI) sensing plays a pivotal role in various domains, encompassing applications like glucose sensing, biosensing, and gas detection. Despite the advantages of optical fiber sensors, such as their compact size, flexibility, and immunity to electromagnetic interference, they are often plagued by temperature-induced drift, which adversely impacts the accuracy of RI measurements. This study introduces an innovative approach to alleviate temperature-induced drift in RI-sensing optical frequency combs (OFCs) by employing active-dummy compensation. The central idea revolves around the utilization of a dual-comb setup, comprising an active-sensing OFC that monitors both sample RI and environmental temperature, and a dummy-sensing OFC that exclusively tracks environmental temperature. The disparity between these sensor signals, denoted as Δ f rep , effectively nullifies the effects of temperature variations, yielding a temperature-independent sensor signal for precise RI measurements. This investigation delves into the relationship between active-dummy temperature compensation and Δ f rep . It becomes evident that diminishing Δ f rep values enhance temperature compensation, thereby diminishing fluctuations in Δ f rep caused by environmental temperature shifts. This compensation technique establishes a direct link between Δ f rep and sample RI, paving the way for absolute RI measurements based on Δ f rep . The findings of this research are a valuable contribution to the advancement of accurate and temperature-compensated RI sensing methodologies using dual-comb setup. The insights gained regarding Δ f rep dependency and the strategies proposed for enhancing measurement precision and stability hold significant promise for applications in fields of product quality control and biosensing.