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Issue 18, 2016
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iHEART: a miniaturized near-infrared in-line gas sensor using heart-shaped substrate-integrated hollow waveguides

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Abstract

A novel heart-shaped substrate-integrated hollow waveguide (hiHWG) was integrated with a near-infrared micro-spectrometer (μNIR) for sensing natural gases, resulting in an ultra-compact near-infrared gas sensing system – iHEART. The iHEART system was evaluated using two different μNIR spectrometers, and the performance was compared with a laboratory NIR spectrometer for gas analysis based on an acousto-optic tunable filter (AOTF). The spectral data were pre-processed using the 1st derivative Savitzky–Golay algorithm, and then used for establishing multivariate regression models based on partial least squares (PLS). The root mean square errors of prediction (RMSEPs) obtained for major components of natural gas with both iHEART systems were similar to those associated with the AOTF spectrophotometer combined with a conventional long-path measurement cell. It was demonstrated that the iHEART system has significant potential for the development of compact in-line gas sensing systems, thus facilitating monitoring of (petro)chemically relevant processes and products. However, the flexibility and modularity of the system also allows tailoring iHEART to a wide range of other relevant analytical measurement scenarios requiring short response times and minute gas sample volumes.

Graphical abstract: iHEART: a miniaturized near-infrared in-line gas sensor using heart-shaped substrate-integrated hollow waveguides

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Publication details

The article was received on 03 May 2016, accepted on 31 Jul 2016 and first published on 01 Aug 2016


Article type: Paper
DOI: 10.1039/C6AN01027J
Analyst, 2016,141, 5298-5303
  • Open access: Creative Commons BY license
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    iHEART: a miniaturized near-infrared in-line gas sensor using heart-shaped substrate-integrated hollow waveguides

    R. L. Ribessi, T. D. A. Neves, J. J. R. Rohwedder, C. Pasquini, I. M. Raimundo, A. Wilk, V. Kokoric and B. Mizaikoff, Analyst, 2016, 141, 5298
    DOI: 10.1039/C6AN01027J

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