Multi-resonant non-dispersive infrared gas sensing: breaking the selectivity and sensitivity tradeoff
Emma R. Bartelsen, J. Ryan Nolen, Christopher R. Gubbin, Mingze He, Ryan W. Spangler, Joshua Nordlander, Katja Diaz-Granados, Simone De Liberato, Jon-Paul Maria, James R. McBride, Joshua D. Caldwell

TL;DR
This paper introduces a filterless NDIR gas sensing method using multi-peak thermal emitters designed via inverse methods, achieving high sensitivity and selectivity without the traditional tradeoff, and reducing fabrication complexity.
Contribution
The work presents a novel multi-peak thermal emitter design that enhances sensitivity and selectivity in NDIR sensors, overcoming the fundamental tradeoff and simplifying fabrication.
Findings
Multi-peak emitters improve detection sensitivity for target gases.
Single-peak emitters achieve high selectivity with minimal crosstalk.
Aperiodic Bragg reflectors enable high Q-factors with fewer layers.
Abstract
In applications such as atmospheric monitoring of greenhouse gases and pollutants, the detection and identification of trace concentrations of harmful gases is commonly achieved using non-dispersive infrared (NDIR) sensors. These devices employ a broadband infrared emitter, thermopile detector, and a spectrally selective bandpass filter tuned to the vibrational resonance of the target analyte. However, the fabrication of these filters is costly and limited to a single frequency. This limitation introduces a fundamental tradeoff, as broadening the optical passband width enhances sensitivity but compromises selectivity, whereas narrowing improves selectivity at the expense of sensitivity. In this work, we validate a filterless NDIR approach using a multi-peak thermal emitter developed through inverse design. This emitter enhances detection sensitivity by targeting multiple absorption…
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Taxonomy
TopicsSpectroscopy and Laser Applications · Gas Sensing Nanomaterials and Sensors · Thermal Radiation and Cooling Technologies
