Spectroscopic Chemical Sensing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Chemical Sensors".
Deadline for manuscript submissions: closed (19 April 2024) | Viewed by 2052
Special Issue Editors
2. Department of Physics, School of Sciences and Technology, University de Trás-os-Montes e Alto Douro, Vila Real, Portugal
Interests: porto optical sensors; integrated optics; spectroscopy and biophysics
Special Issues, Collections and Topics in MDPI journals
Interests: bio and chemical sensors; fiber optic sensors; spectroscopy; environmental monitoring; food quality
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Spectroscopy is of paramount importance in sensing for the detection of chemical components or the quantification of their concentration.
Spectroscopic sensing depends on phenomena such as electronic absorption and emission, elastic scattering and reflection, inelastic scattering (Raman and Compton scattering) and nuclear magnetic resonance (NMR), among many others.
The objective of this Special Issue is to present the advances in fundamental research and the development of technologies, including different sensing mechanisms and implementations, as well as innovative specific applications.
Reviews must offer a critical overview of the state-of-the-art fundamentals, technologies, and applications that are pertinent to spectroscopic chemical sensing.
Topics include, but are not limited to, the following:
- Complexity matrixes, including biological systems and biomedical and food industry applications;
- Harsh environments, including electromagnetic interference, ionizing radiation, high pressure and vibration and extreme temperatures;
- Remote sensing measurements;
- Natural environment monitoring, including the atmosphere and oceans.
Dr. José Manuel M. M. de Almeida
Dr. Luís Carlos Costa Coelho
Guest Editors
Manuscript Submission Information
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Keywords
- chemical sensors
- biosensors
- harsh environments
- food safety
- remote sensing
- aquaculture
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