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Smart Spectral Sensors for Aquatic Environments

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 10283

Special Issue Editor


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Guest Editor
1. Center for Marine Sensors (ZfMarS) at Institute for Chemistry and Biology of the Marine Environment of University Oldenburg, Germany
2. German Research Center for Artificial Intelligence (DFKI), Marine Perception Research Group, Oldenburg, Germany
Interests: marine optics and physics; marine sensors; detection of biogeochemical parameters and hazardous substances; autonomous long-term sensor systems and observatories; comprehensive perception; artificial intelligence; data stream mining; event detection; situational awareness

Special Issue Information

Dear Colleagues,

A new generation of spectral sensors and sensor systems for pollution detection and biogeochemical observations in aquatic environments is being born. These optical sensors are showing not only improved measurement capabilities, but also enhanced sensor data evaluation and integration functionalities, e.g., hyperspectral radiometers that perform embedded data analysis, multispectral imaging sensors with in-built feature characterization, or multi-modal ad-hoc sensor systems that collaboratively perform risk-assessment. With improved embedded computational capacities, the ascent of machine learning, data stream mining, and other algorithmic approaches at hand, smart spectral sensors can be realized for more comprehensive assessment and protection of marine environments, inland water, as well as other water-related processes.

I am proud to announce this Special Issue entitled ‘Smart Spectral Sensors for Aquatic Environments’. It is an effort to include the most relevant work on state-of-the-art as well as upcoming smart spectral sensors and sensor-systems. It highlights not only research on improved performance but also the higher level of integration and embedded intelligence that allow the realization of complex tasks as part of a more complete aquatic environmental situational awareness.

Prof. Dr. Oliver Zielinski
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Smart optical sensors
  • Multi-modal sensor systems
  • Multispectral and hyperspectral sensing
  • Spectral imaging
  • Aquatic environmental sensing
  • In situ and remote sensing
  • Marine hazard detection, e.g., oil spills or harmful algae blooms
  • Water pollutants, e.g., plastic waste or excessive nutrients
  • Biogeochemistry of natural water bodies
  • Operational observation
  • Real-time event and trend detection
  • Data stream mining and machine learning

Published Papers (2 papers)

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Research

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15 pages, 4552 KiB  
Article
Processing Fluorescence Spectra for Pollutants Detection Systems in Inland Waters
by F. Jose Arques-Orobon, Francisco Prieto-Castrillo, Neftali Nuñez and Vicente Gonzalez-Posadas
Sensors 2020, 20(11), 3102; https://doi.org/10.3390/s20113102 - 30 May 2020
Cited by 1 | Viewed by 2387
Abstract
Development of contaminant detection systems in various natural and industrial environments has been favored in recent years thanks to the evolution of processors and sensors. Our group works specifically on contaminant detection systems in inland waters: immediate and continuous detection is a fundamental [...] Read more.
Development of contaminant detection systems in various natural and industrial environments has been favored in recent years thanks to the evolution of processors and sensors. Our group works specifically on contaminant detection systems in inland waters: immediate and continuous detection is a fundamental requirement in this type of sensing. Regarding the sensors, the proposed system is based on fluorescence, since it offers a method in which there is no contact with water, which means less wear on the components and a great saving in cleaning and maintenance. On the other hand, the spectrum processing is of great importance, since it is used both in the generation of a library of fluorescence spectra taken in the laboratory and in the continuous analysis of the samples and in the comparison algorithm for identification. The validity of the system is based on the last process that is carried out in a very short time. This article describes a system to process spectra in a more accelerated way. Full article
(This article belongs to the Special Issue Smart Spectral Sensors for Aquatic Environments)
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Review

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18 pages, 920 KiB  
Review
Application of Microfluidic Chip Technology in Food Safety Sensing
by Hongwei Gao, Chunlei Yan, Wei Wu and Juan Li
Sensors 2020, 20(6), 1792; https://doi.org/10.3390/s20061792 - 24 Mar 2020
Cited by 56 | Viewed by 7452
Abstract
Food safety analysis is an important procedure to control food contamination and supervision. It is urgently needed to construct effective methods for on-site, fast, accurate and popular food safety sensing. Among them, microfluidic chip technology exhibits distinguish advantages in detection, including less sample [...] Read more.
Food safety analysis is an important procedure to control food contamination and supervision. It is urgently needed to construct effective methods for on-site, fast, accurate and popular food safety sensing. Among them, microfluidic chip technology exhibits distinguish advantages in detection, including less sample consumption, fast detection, simple operation, multi-functional integration, small size, multiplex detection and portability. In this review, we introduce the classification, material, processing and application of the microfluidic chip in food safety sensing, in order to provide a good guide for food safety monitoring. Full article
(This article belongs to the Special Issue Smart Spectral Sensors for Aquatic Environments)
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