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Special Issue "Field and Remote Sensors for Environmental Health and Food Safety Diagnostics"
A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensor and Bioelectronic Devices".
Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 9182
Special Issue Editors
Interests: sensors/biosensors; bioanalytical chemistry; environment and food chemistry
Interests: biosensoristics; food biotechnology; microbiology
Special Issue Information
Critical issues about environmental health and food safety generate a great demand for up-to-date information about real contamination patterns, and about the complex interactions between environmental compartments and food supply chains, especially at the primary production level.
Recent progress and challenges in the field of sensoristics are focused on developing and improving methods and devices oriented toward environmental health and food safety surveillance at critical control points throughout the entire agro-food supply chains.
Both field and remote sensing diagnostic systems can contribute to the protection of ecosystem health and the wholesomeness of foods.
To face the complexity of environmental and food matrices, chemosensoristic and biosensoristic devices are promising tools with interesting analytical features, which can be potentially exploited for on-site real-time applications for the screening and diagnostics of both environmental and food matrices. Recent improvement in materials science, engineering, networking and communication technologies, multivariate analysis, and artificial intelligence technologies (neural networks/machine learning) for data processing and data mining have paved the way to the new concept of “smart sensors”.
Further, remote sensing technology and multi/hyperspectral imaging have experienced incredible developments as novel technologies in the environmental and food fields. These developments include sensor design, acquisition systems, and data processing techniques.
The development of improved terrestrial and remote sensoristic devices and the gathering of real-time data with high spatial and temporal resolution represent a technological challenge to broaden the boundaries of field diagnostics and the monitoring of environmental and food samples.
You are therefore invited to submit your research papers and reviews (also with an interdisciplinary character) on any aspect related to field sensors and remote sensing technologies for environmental and food applications.
Dr. Roberto Dragone
Dr. Gerardo Grasso
Dr. Daniela Zane
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.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biosensors is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 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.
- environmental monitoring
- food safety
- proximal sensing
- remote sensing
- crop monitoring
- precision livestock farming
- multi/hyperspectral imaging
- machine learning