Abstract

We report that a single hollow core photonic crystal fiber (HC-PCF) can be used for repetitive characterization of multiple samples by Raman spectroscopy. This was achieved by integrating the HC-PCF to a differential pressure system that allowed effective filling, draining and re-filling of samples into a HC-PCF under identical optical conditions. Consequently, high-quality and reliable spectral data could be obtained which were suitable for multivariate analysis (partial least squares). With the present scheme, we were able to accurately predict different concentrations of heparin and adenosine in serum. Thus the detection scheme as presented here paves a path for the inclusion of HC-PCFs in point-of-care technologies and environmental monitoring where rapid sample characterization is of utmost importance.

Highlights

  • Hollow core photonic crystal fibers (HC-PCF) are gaining importance as optical sensing devices [1,2,3]

  • We first investigated the effect of the pressure difference on the time to completely load the sample into the HC-PCF

  • It is to be noted that the maximum allowable pressure difference across the HC-PCF was limited by the pressure rating of the microfluidic cross fitting which was around 60psi

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Summary

Introduction

Hollow core photonic crystal fibers (HC-PCF) are gaining importance as optical sensing devices [1,2,3]. HC-PCFs can be used as nanolitre sample containers, and are ideal for characterizing low-volume chemical and biological samples They can enhance the Raman signal of a sample by supporting strong light-matter interactions due to their photonic band gap. The practical difficulties associated with implementing HC-PCFs for real-time monitoring of samples are as follows: first, light coupling and guidance are affected by the frequent formation of air gaps or discontinuities in sample distribution within the microchannels. This results in poor quality spectra that do not correlate well with chemical concentration. We applied the multivariate calibration model for accurately predicting the sensor’s response to other chemicals such as ethanol, isopropanol, heparin and adenosine

Theory of HC-PCF
Sample Preparation
Flow dynamics
Experimental configuration
HC-PCF filling under different pressures
Sample filling and Raman data
Repeatability and stability tests
H-design HC-PCF for different concentration and PLS
HC-PCF for monitoring clinically important molecules
Conclusion
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