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Hollow core photonic crystal fiber as a robust Raman biosensor

机译:中空光子晶体光纤作为耐用的拉曼生物传感器

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The present work demonstrates the integration of hollow core photonic crystal fibers (HC-PCF), microfluidics, and statistical analysis for monitoring biomolecules using Raman spectroscopy. HC-PCF as a signal enhancer has been proven by many researchers. However, there have been challenges in using HC-PCF for practical applications due to limitations such as coupling, stability, evaporation, clogging, consistent filling, and reusing the same fiber. This limited the potential of HC-PCF to detect low concentrations of liquid samples, which is why HC-PCF still hasn't transcended the lab barriers. The current device is based on an H-design lay-out which uses the pressure difference between the two ends of the fiber for filling and flushing the liquid samples. This mitigated several issues related to device performance by allowing us to fill the fiber with liquid samples consistently, rapidly and reproducibly. The resulting Raman signals were significantly more stable as various concentrations of ethanol in water were sequentially introduced into the fiber. The scheme also allowed us to overcome the barrier of predicting low concentrations by applying Partial Least Square (PLS) technique which was done for the first time using HC-PCF. Thus, the present scheme paves path for the inclusion of HC-PCF in the main stream point-of-care technology.
机译:本工作展示了中空光子晶体光纤(HC-PCF),微流控技术和使用拉曼光谱法监测生物分子的统计分析的集成。 HC-PCF作为信号增强剂已被许多研究人员证明。然而,由于诸如耦合,稳定性,蒸发,堵塞,均匀填充和重复使用同一根光纤的限制,在实际应用中使用HC-PCF面临挑战。这限制了HC-PCF检测低浓度液体样品的潜力,这就是HC-PCF仍未超越实验室障碍的原因。当前的设备基于H型布局,该布局使用纤维两端之间的压差填充和冲洗液体样品。通过允许我们以一致,快速和可重复的方式向光纤中填充液体样品,减轻了与设备性能相关的几个问题。由于将各种浓度的乙醇水溶液依次引入到光纤中,所得的拉曼信号明显更稳定。该方案还使我们能够通过应用偏最小二乘(PLS)技术来克服预测低浓度的障碍,这是首次使用HC-PCF进行的。因此,本方案为将HC-PCF纳入主流护理点技术铺平了道路。

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