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Related Concept Videos

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There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
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Multianalyte Detection with Metasurface-Based Midinfrared Microspectrometer.

Henry Tan1,2, Jiajun Meng1,2, Kenneth B Crozier1,2,3

  • 1School of Physics, University of Melbourne, Parkville, Victoria 3010, Australia.

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|October 30, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a compact metasurface microspectrometer for simultaneously detecting multiple chemicals, specifically ethanol and methanol in gasoline. The novel device achieves accurate fuel quality monitoring, expanding the applications of mid-infrared spectroscopy.

Keywords:
FADA microspectrometerMEMS-based microspectrometersmetasurfacesmidinfrared spectroscopy

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Area of Science:

  • Mid-infrared (MIR) spectroscopy
  • Chemical sensing
  • Nanophotonics

Background:

  • Traditional Fourier transform infrared (FTIR) spectrometers are bulky and expensive.
  • Demand for portable, cost-effective microspectrometers for field applications is increasing.
  • Filter-array detector-array microspectrometers offer a compact, robust platform for in situ sensing, but typically focus on single-analyte detection.

Purpose of the Study:

  • To demonstrate simultaneous multianalyte detection using a metasurface filter-array microspectrometer.
  • To apply this technology for real-time monitoring of ethanol and methanol concentrations in gasoline.
  • To expand the capabilities of metasurface-based MIR spectrometers beyond single-analyte identification.

Main Methods:

  • Fabrication of a metasurface consisting of periodic subwavelength apertures in an aluminum layer to create bandpass filters.
  • Imaging the filter array with a microbolometer using a reverse-lens setup.
  • Development and application of chemometric models, including Partial Least Squares (PLS) and Support Vector Machine Regression (SVR), for quantitative analysis.
  • Testing models on gasoline blends with varying ethanol and methanol content (0-20% v/v).

Main Results:

  • The metasurface filter-array microspectrometer successfully monitored ethanol and methanol concentrations simultaneously.
  • A Support Vector Machine Regression (SVR) model with a cubic kernel yielded the best performance.
  • Achieved root-mean-square errors of prediction (RMSEP) of 1.23% v/v for ethanol and 1.84% v/v for methanol.
  • Determined pseudounivariate limits of detection of 4.22% v/v for ethanol and 6.86% v/v for methanol.

Conclusions:

  • Metasurface filter-array microspectrometers can achieve simultaneous multianalyte detection.
  • This technology is suitable for practical applications like fuel quality monitoring.
  • The study significantly broadens the potential applications of metasurface-based MIR spectrometers.