# Detecting parts-per-billion carbon monoxide with an ultra-enhanced near-infrared photoacoustic sensor

**Authors:** Yaopeng Cheng, Ting Chen, Ruili Zhang, Sailing He

PMC · DOI: 10.1016/j.pacs.2025.100790 · Photoacoustics · 2025-12-18

## TL;DR

A new near-infrared sensor detects carbon monoxide at very low concentrations, offering a cost-effective alternative to more expensive sensors.

## Contribution

The integration of three enhancement techniques enables ultra-sensitive carbon monoxide detection at parts-per-billion levels.

## Key findings

- The sensor achieved a minimum detection limit of 190 ppb at 10 seconds.
- The detection limit can be improved to 11.4 ppb based on Allan analysis.
- The sensor is cost-effective, with a price less than one-third of mid-infrared photoacoustic sensors.

## Abstract

An ultra-enhanced near-infrared (NIR) photoacoustic gas sensor was developed by integrating three enhancing techniques: (a) boosting the excitation power up to 2 W via a custom-built large-mode erbium doped fiber amplifier (EDFA), (b) exploiting the acoustic resonance amplification of a hyperbolic nonlinear resonator (HNR), and (c) increasing the effective absorption path length by using a near-concentric multipass cavity (MPC) with 20 reflections. A weak CO absorption line at 1566.64 nm with the intensity of 2.074 × 10−23 cm/molecule was selected. The photoacoustic signal was enhanced 396 times. A minimum detection limit (MDL) of 190 ppb at 10 s was achieved and can be improved to be 11.4 ppb according to the Allan analysis, which was comparable to a mid-infrared (MIR) photoacoustic sensor. The ultra-enhanced NIR photoacoustic sensor is a cost-effective solution for the ppb-level trace gas detection, offering a price that is less than one-third that of MIR photoacoustic sensors.

## Linked entities

- **Chemicals:** carbon monoxide (PubChem CID 281)

## Full-text entities

- **Chemicals:** CO (MESH:D002248)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12794231/full.md

## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12794231/full.md

## References

38 references — full list in the complete paper: https://tomesphere.com/paper/PMC12794231/full.md

---
Source: https://tomesphere.com/paper/PMC12794231