Multiparameter optical fiber sensing for energy infrastructure through nanoscale light–matter interactions: From hardware to software, science to commercial opportunities
Monitoring of energy infrastructure through robust yet economical sensing platforms is becoming an area of increased importance, with ubiquitous applications including the electrical grid, natural gas and oil transportation pipelines, H2 infrastructure (storage and transportation), carbon storage, p...
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| Format: | Article |
| Language: | English |
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AIP Publishing LLC
2024-12-01
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| Series: | APL Photonics |
| Online Access: | http://dx.doi.org/10.1063/5.0222253 |
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| author | Yang-Duan Su Paul R. Ohodnicki Jeffrey K. Wuenschell Nageswara Lalam Enrico Sarcinelli Michael P. Buric Ruishu Wright |
| author_facet | Yang-Duan Su Paul R. Ohodnicki Jeffrey K. Wuenschell Nageswara Lalam Enrico Sarcinelli Michael P. Buric Ruishu Wright |
| author_sort | Yang-Duan Su |
| collection | DOAJ |
| description | Monitoring of energy infrastructure through robust yet economical sensing platforms is becoming an area of increased importance, with ubiquitous applications including the electrical grid, natural gas and oil transportation pipelines, H2 infrastructure (storage and transportation), carbon storage, power generation, and subsurface environments. Plasmonic and functional nanomaterial enabled fiber optic sensors show excellent promise for a wide range of sensing applications due to their versatility to be engineered for specific analytes of interest while retaining inherent advantages of the optical fiber sensor platform. Through the design of novel sensing layers, the optical transduction mechanism and wavelength dependence can also be tailored for ease of integration with low-cost interrogation systems enabling an inexpensive yet highly functional optical fiber sensing platform. In addition, recent advances in artificial intelligence and machine learning theoretical methods have been leveraged to simultaneously extract multiple parameters through multi-wavelength interrogation such that unique wavelengths can also serve as unique sensing elements, analogous to electronic nose sensor technologies. The concept of an optical fiber based “photonic nose” via multiple interrogation wavelengths and/or sensor nodes offers a compelling platform technology to realize multiparameter speciation of chemical analytes within complex gas mixtures. In this Perspective, we further generalize the notion of multiparameter sensing through the novel “photonic nervous system” concept based upon low-cost, functionalized optical fiber sensor probes monitoring a variety of distinct analyte classes (physical, chemical, electromagnetic, etc.) simultaneously to provide broad situational awareness via integrated sensors. |
| format | Article |
| id | doaj-art-d6580c9a1ee24fcb92ab9df19098e0fb |
| institution | DOAJ |
| issn | 2378-0967 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | AIP Publishing LLC |
| record_format | Article |
| series | APL Photonics |
| spelling | doaj-art-d6580c9a1ee24fcb92ab9df19098e0fb2025-08-20T02:51:31ZengAIP Publishing LLCAPL Photonics2378-09672024-12-01912120902120902-3810.1063/5.0222253Multiparameter optical fiber sensing for energy infrastructure through nanoscale light–matter interactions: From hardware to software, science to commercial opportunitiesYang-Duan Su0Paul R. Ohodnicki1Jeffrey K. Wuenschell2Nageswara Lalam3Enrico Sarcinelli4Michael P. Buric5Ruishu Wright6Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USAMechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USANational Energy Technology Laboratory, Pittsburgh, Pennsylvania 15236, USANational Energy Technology Laboratory, Pittsburgh, Pennsylvania 15236, USAMechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USANational Energy Technology Laboratory, Morgantown, West Virginia 26505, USANational Energy Technology Laboratory, Pittsburgh, Pennsylvania 15236, USAMonitoring of energy infrastructure through robust yet economical sensing platforms is becoming an area of increased importance, with ubiquitous applications including the electrical grid, natural gas and oil transportation pipelines, H2 infrastructure (storage and transportation), carbon storage, power generation, and subsurface environments. Plasmonic and functional nanomaterial enabled fiber optic sensors show excellent promise for a wide range of sensing applications due to their versatility to be engineered for specific analytes of interest while retaining inherent advantages of the optical fiber sensor platform. Through the design of novel sensing layers, the optical transduction mechanism and wavelength dependence can also be tailored for ease of integration with low-cost interrogation systems enabling an inexpensive yet highly functional optical fiber sensing platform. In addition, recent advances in artificial intelligence and machine learning theoretical methods have been leveraged to simultaneously extract multiple parameters through multi-wavelength interrogation such that unique wavelengths can also serve as unique sensing elements, analogous to electronic nose sensor technologies. The concept of an optical fiber based “photonic nose” via multiple interrogation wavelengths and/or sensor nodes offers a compelling platform technology to realize multiparameter speciation of chemical analytes within complex gas mixtures. In this Perspective, we further generalize the notion of multiparameter sensing through the novel “photonic nervous system” concept based upon low-cost, functionalized optical fiber sensor probes monitoring a variety of distinct analyte classes (physical, chemical, electromagnetic, etc.) simultaneously to provide broad situational awareness via integrated sensors.http://dx.doi.org/10.1063/5.0222253 |
| spellingShingle | Yang-Duan Su Paul R. Ohodnicki Jeffrey K. Wuenschell Nageswara Lalam Enrico Sarcinelli Michael P. Buric Ruishu Wright Multiparameter optical fiber sensing for energy infrastructure through nanoscale light–matter interactions: From hardware to software, science to commercial opportunities APL Photonics |
| title | Multiparameter optical fiber sensing for energy infrastructure through nanoscale light–matter interactions: From hardware to software, science to commercial opportunities |
| title_full | Multiparameter optical fiber sensing for energy infrastructure through nanoscale light–matter interactions: From hardware to software, science to commercial opportunities |
| title_fullStr | Multiparameter optical fiber sensing for energy infrastructure through nanoscale light–matter interactions: From hardware to software, science to commercial opportunities |
| title_full_unstemmed | Multiparameter optical fiber sensing for energy infrastructure through nanoscale light–matter interactions: From hardware to software, science to commercial opportunities |
| title_short | Multiparameter optical fiber sensing for energy infrastructure through nanoscale light–matter interactions: From hardware to software, science to commercial opportunities |
| title_sort | multiparameter optical fiber sensing for energy infrastructure through nanoscale light matter interactions from hardware to software science to commercial opportunities |
| url | http://dx.doi.org/10.1063/5.0222253 |
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