General strategies for multi-parameter fusion detection in developing sensors: Potential method towards interference and selectivity
• A zero-loss optical fiber dip-coating technique is introduced • A two-dimensional detection mechanism for the optical fiber structure is revealed. • A multifunctional optical fiber sensor with potential applications is developed. • A multi-parameter fusion detection method is proposed. To improve the issues of interference resistance and selectivity, as well as the challenge of multiparameter detection using single sensors in the field of sensor technology, this study develops a potential multifunctional optical fiber sensor and a multiparameter fusion detection method. During the sensor fabrication process, the two-dimensional detection mechanism of the single mode-no-core-single mode (SNS) optical fiber structure was demonstrated through optical principles and simulation analysis. In addition, improvements were made to the preparation method of molybdenum disulfide nanosheets (MoS 2 NS) and the dip-coating method for the transmissive optical fiber structure. These modifications enhanced the sensor’s sensitivity to formic acid (FA) gas by ∼5 times and reduced the detection limit to 2/5 of that of its predecessor. The proposed method enables the fusion detection of target and interference parameters, and its effectiveness has been validated through experiments. The introduction of this method will not only help address the issues of interference resistance and selectivity in sensors but also contribute to the advancement of sensor integration technology.
Authors
- Jin Li (ORCID: https://orcid.org/0000-0001-9658-8184)
- Gaoliang Chen (ORCID: https://orcid.org/0009-0003-6874-1059)
- Fangling Zhou (ORCID: https://orcid.org/0009-0005-3549-3401)
- Renze Zhang (ORCID: https://orcid.org/0000-0002-1422-0720)
- Fanli Meng (ORCID: https://orcid.org/0000-0002-2477-1542)
- Hongmin Zhu (ORCID: https://orcid.org/0000-0002-7085-5894)
Institutions
- Northwest A&F University (CN)
- Northeastern University (CN)
Publication Details
- Journal
- Materials & Design
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1016/j.matdes.2025.114143
- Citations
- 3
- Primary Topic
- Gas Sensing Nanomaterials and Sensors
- Type
- article
- Field-Weighted Citation Impact
- 2.19