灵敏度和检测精度是衡量传感器性能的重要指标。以水相分析物为例，动态指标

灵敏度和检测精度是衡量传感器性能的重要指标。以水相分析物为例，动态指标范围为1.33 ~ 1.43。我们选择波长扫描法作为计算灵敏度的方法，由式(1)计算，利用宽带光源实现:<br>Sλ(λ)(nm/RIU) = ∂λres/∂na<br>在这里λres指的共振波长。为了高性能的DP-PCF传感器更加方便和高效,我们得到图3对透射光谱的变化曲线和灵敏度范围内某一国际扶轮的传感器的结构参数下本文中提到Λ= 6µm H = 40 nm, P =Λ+ 0.2µm, r = 1, r = r + 3µm。从图3可以看出，随着环境RI的增大，透射谱出现红移。从图4可以看出，根据拟合精度，感知范围可以分为低RI区域和高RI区域。图3左侧的红色虚线框表示低RI感应区域(1.33∼1.39)，几乎不受参数变化的影响，我们将在后面讨论。上述最优参数对应的低RI区域的线性拟合公式为y = 2300x−2478，调整R2为0.9618，拟合优度较好。拟合公式的斜率表示灵敏度;即对应的灵敏度为2300 nm/RIU。图3右侧的红色虚线框表示高RI感应区域(1.39∼1.43)。当探测到的RI落在此范围内时，灵敏度将得到提高，结构参数的优化可大大提高灵敏度值。这主要是由于随着环境RI的增大，分析物与光纤之间的RI差逐渐减小，共振波长也向长波长区域移动。这些变化将削弱光纤限制光场的能力，这有利于光场能量的泄漏并与分析物相互作用，从而提高了检测能力。因此，图4的二次多项式拟合曲线表明最大灵敏度在1.43处的波长为32,434nm / RIU。假设光谱仪的分辨率为Δλ= 0.1 nm，则可获得3.08×10-6 RIU的最大分辨率。

灵敏度和检测精度是衡量传感器性能的重要指标。 以水相分析物为例，动态指标范围为1.33 ~ 1.43。 我们选择波长扫描法作为计算灵敏度的方法，由式(1)计算，利用宽带光源实现:<br>Sλ(λ)(nm/RIU) = ∂λres/∂na<br>在这里λres指的共振波长。 为了高性能的DP-PCF传感器更加方便和高效,我们得到图3对透射光谱的变化曲线和灵敏度范围内某一国际扶轮的传感器的结构参数下本文中提到Λ= 6µm H = 40 nm, P =Λ+ 0.2µm, r = 1, r = r + 3µm。 从图3可以看出，随着环境RI的增大，透射谱出现红移。 从图4可以看出，根据拟合精度，感知范围可以分为低RI区域和高RI区域。 图3左侧的红色虚线框表示低RI感应区域(1.33∼1.39)，几乎不受参数变化的影响，我们将在后面讨论。 上述最优参数对应的低RI区域的线性拟合公式为y = 2300x−2478，调整R2为0.9618，拟合优度较好。 拟合公式的斜率表示灵敏度;即对应的灵敏度为2300 nm/RIU。 图3右侧的红色虚线框表示高RI感应区域(1.39∼1.43)。 当探测到的RI落在此范围内时，灵敏度将得到提高，结构参数的优化可大大提高灵敏度值。 这主要是由于随着环境RI的增大，分析物与光纤之间的RI差逐渐减小，共振波长也向长波长区域移动。 这些变化将削弱光纤限制光场的能力，这有利于光场能量的泄漏并与分析物相互作用，从而提高了检测能力。 因此，图4的二次多项式拟合曲线表明最大灵敏度在1.43处的波长为32,434nm / RIU。 假设光谱仪的分辨率为Δλ= 0.1 nm，则可获得3.08×10-6 RIU的最大分辨率。

Sensitivity and detection accuracy are important indexes to measure the performance of sensor. Taking the water phase analyte as an example, the dynamic index range is 1.33 ~ 1.43. We choose the wavelength scanning method as the method to calculate the sensitivity, which is calculated by formula (1) and realized by using the wide-band light source:<br>Sλ(λ)(nm/RIU) = ∂λres/∂na<br>Here λ res is the resonance wavelength. In order to make the high-performance dp-pcf sensor more convenient and efficient, we get the change curve of transmission spectrum in Figure 3 and the structural parameters of a rotary sensor in the sensitivity range. In this paper, it is mentioned that λ = 6 μ m h = 40 nm, P = Λ + 0.2 μ m, R = 1, r = R + 3 μ M. As can be seen from Figure 3, the transmission spectrum shows a red shift as the environment RI increases. As can be seen from Figure 4, according to the fitting accuracy, the sensing range can be divided into low RI region and high RI region. The red dashed box on the left side of Figure 3 shows the low RI sensing area (1.33 ∼ 1.39), which is almost unaffected by the parameter change. We will discuss it later. The linear fitting formula of the low RI region corresponding to the above optimal parameters is y = 2300x − 2478, R2 is adjusted to 0.9618, and the goodness of fit is good. The slope of the fitting formula represents the sensitivity; that is, the corresponding sensitivity is 2300 nm / RIU. The red dotted box on the right side of Figure 3 shows the high RI sensing area (1.39 ∼ 1.43). When the detected RI falls within this range, the sensitivity will be improved, and the optimization of structural parameters can greatly improve the sensitivity value. This is mainly because with the increase of the environment RI, the RI difference between the analyte and the fiber decreases gradually, and the resonance wavelength also moves to the long wavelength region. These changes will weaken the ability of optical fiber to limit the light field, which is conducive to the leakage of light field energy and interaction with analyte, thus improving the detection ability. Therefore, the quadratic polynomial fitting curve of Fig. 4 shows that the wavelength with the maximum sensitivity at 1.43 is 32434nm / RIU. Assuming that the resolution of the spectrometer is Δλ = 0.1nm, the maximum resolution of 3.08 × 10-6 RIU can be obtained.<br>