School of Engineering, Fraser Noble Building, University of Aberdeen, Aberdeen AB24 3UE, UK.
Department of Pure and Applied Chemistry, University of Strathclyde, Glasgow G1 1XL, UK.
Sensors (Basel). 2021 Oct 3;21(19):6603. doi: 10.3390/s21196603.
We report a statistical approach to model the resonant peak wavelength (RPW) equation(s) of a photonic crystal fibre (PCF)-based surface plasmon resonance (SPR) sensors in terms of the PCF structural parameters (air-hole diameter, pitch, core diameter and gold layer thickness) at various tolerance levels. Design of experiments (statistical tool) is used to investigate the role played by the PCF structural parameters for sensing performance evaluation-RPW, across three tolerance levels (±2%, ±5% and ±10%). Pitch of the hollow-core PCF was discovered to be the major influencing parameter for the sensing performance (RPW) of the PCF-based SPR sensor while the inner metal (gold) layer thickness and core diameter are the least contributing parameters. This novel statistical method to derive the sensing performance parameter(s) of the PCF-based SPR sensors can be applied effectively and efficiently in the designing, characterisation, tolerance analysis not only at the research level, but also in optical fibre sensor fabrication industry to improve efficiency and lower cost.
我们提出了一种统计方法，以模型化光子晶体光纤（PCF）基表面等离子体共振（SPR）传感器的共振峰波长（RPW）方程，考虑了在不同容差水平下 PCF 结构参数（空气孔直径、间距、芯径和金层厚度）的影响。实验设计（统计工具）用于研究 PCF 结构参数在传感性能评估-RPW 方面的作用，跨越三个容差水平（±2%、±5%和±10%）。空心芯 PCF 的间距被发现是 PCF 基 SPR 传感器传感性能（RPW）的主要影响参数，而内部金属（金）层厚度和芯径是贡献最小的参数。这种用于推导 PCF 基 SPR 传感器传感性能参数的新统计方法，可以有效地应用于设计、特性描述、容差分析，不仅在研究水平上，而且在光纤传感器制造行业中，也可以提高效率，降低成本。
