The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Highly Sensitive and Fast Hydrogen Detection Based on Light-Induced Thermoelastic Spectroscopy
Open accessAbstract
As a new energy source, hydrogen (H 2 ) detection is a hot topic in recent years. Because of the weak absorption characteristic, laser spectroscopy-based H 2 detection is challenging. In this paper, a highly sensitive H 2 sensor based on light-induced thermoelastic spectroscopy (LITES) technique is demonstrated for the first time. A continuous-wave, distributed feedback diode laser with emission in the 2.1 μm region was adopted as the excitation source to target the strongest H 2 absorption line of 4,712.90 cm −1 . A Herriott multipass cell with an optical length of 10.1 m was chosen to further improve the H 2 absorption. With the feature of processing the raw input data without data preprocessing and extracting the desired features automatically, the robust shallow neural network (SNN) fitting algorithm was brought in to denoise the sensor. For the LITES-based H 2 sensor, the concentration response was tested, and an excellent linear response to H 2 concentration levels was achieved. A minimum detection limit (MDL) of ~80 ppm was obtained. On the basis of implementation of the H 2 -LITES sensor, a heterodyne H 2 -LITES sensor was further constructed to realize a fast measurement of resonance frequency of quartz tuning fork and H 2 concentration simultaneously. The resonance frequency can be retrieved in several hundred milliseconds with the measurement accuracy of ±0.2 Hz, and the result of 30,713.76 Hz is exactly same as the experimentally determined value of 30,713.69 Hz. After the SNN algorithm was applied, an MDL of ~45 ppm was achieved for this heterodyne H 2 -LITES sensor.
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Cites
Hydrogen as an energy carrier: Prospects and challenges
Mazloomi, K., & Gomes, C. (2012) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2012.02.028 · Cited by 1,736
On hydrogen and hydrogen energy strategies
Midilli, A., Ay, M., Dincer, I., & Rosen, M. A. (2005) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2004.05.003 · Cited by 811
Cited by
Qiao, S., He, Y., Sun, H., Patimisco, P., Sampaolo, A., Spagnolo, V., & Ma, Y. (2024) · Light: Science & Applications · doi:10.1038/s41377-024-01459-5 · Cited by 325
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Metadata
- Authors
- Ma, Y., Liang, T., Qiao, S., Liu, X., & Lang, Z.
- Venue
- Ultrafast Science
- Published
- 2023-01
- Volume
- 3
- ISSN
- 2097-0331 (ISSN-L)
- 2765-8791
- OpenAlex
- W4327951970
- Cited by
- 214
- References
- 2
- FWCI
- 18.78
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Ma, Y., Liang, T., Qiao, S., Liu, X., & Lang, Z. (2023). Highly Sensitive and Fast Hydrogen Detection Based on Light-Induced Thermoelastic Spectroscopy. Ultrafast Science. https://doi.org/10.34133/ultrafastscience.0024
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