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SELSA-SD: Sensors for the Environment, Life Science, Applications and Sustainable...
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SELSA-SD: Sensors for the Environment, Life Science, Applications and Sustainable Development

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

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 9657

Special Issue Editors

Prof. Dr. Mohamed M. Chehimi

E-Mail Website1 Website2
Guest Editor
ITODYS Laboratory, Université Paris Cité & CNRS (UMR 7086), F-75013 Paris, France
Interests: surface chemical modification; biochar; composites; biomass conversion; surface analysis; XPS
Special Issues, Collections and Topics in MDPI journals
Dr. Najla Fourati

E-Mail Website
Guest Editor
SATIE Laboratory, UMR CNRS 8029, Conservatoire National des Arts et Métiers, 75003 Paris, France
Interests: Surface Acoustic Wave (SAW) bio and chemical sensors; electrochemical bio and chemical sensors; surface modification; AFM

Special Issue Information

Dear Colleagues,

In 2015, all countries—developed and developing—in a global partnership adopted 17 Sustainable Development Goals (SDGs), which are an urgent call for ending poverty, improving health and education, and reducing inequality, while tackling climate change and environmental protection.

This SELSA-SD Special Issue will provide an opportunity for researchers to publish their original achievements related to education, environment, water quality, and healthcare, all parts of the United Nations SDGs.

The SELSA-SD Special Issue welcomes both original research and review articles that address the following non-exhaustive list of topics:

- Devices: electrochemical sensors, optical sensors, piezoelectric sensors, magnetic sensors, immunosensors, green sensors, mico/nano-sensors, 2D/3D printable sensors, bio-imprinted sensors, remote sensors, wearable sensors, implantable sensors, disposable sensors, wireless sensors, contactless sensors, non-invasive sensors, smart sensors, multitransduction platforms, micro and nano fluidic chips, microarrays, point of care devices, lateral flow assays, field effect transistors, integrated MEMs, etc.

- Analytes concern: molecules (drugs, toxins, pesticides, illicit substances, dyes, endocrine disruptors, glucose and related compounds, biocides, etc.), metal ions in the environment and body fluids, cells, macromolecules (cancer biomarkers, proteins, aptamers, RNA, etc.), counterfeit medicines, viruses (e.g., SARS-CoV2, dengue, malaria, HIV, hepatitis B and C viruses, mosquito-associated viruses), etc.

- Matrices: body fluids, food and beverage samples, waste, rivers and rain waters, samples from water treatment plant and fish farms, landfill, vegetables, road dust, corpes (for forensic medicine), etc.

- Sensing materials: composite materials, colloidal crystals and inverse opals, imprinted polymers, stretchable and implantable materials, antibodies, DNA, enzymes, aptamers, metallic and metal oxide nanoparticles, nano and metamaterials, etc.

- Physical and chemical education of sensors: Sensors technology is progressively being implemented as an integral part of learning at high school levels. This multidisciplinary technology includes several scientific domains such as physics and micro- and nanotechnology (for transducers fabrication), chemistry (for surface modifications), electronic and signal processing, and more recently the Internet of Things (for data management).

Prof. Dr. Mohamed M. Chehimi
Dr. Najla Fourati
Guest Editors

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. Sensors is an international peer-reviewed open access semimonthly 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 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

  • sensors
  • environment and healthcare sciences
  • sensing materials
  • surface chemistry
  • education
  • UN 17 SDGs

Published Papers (3 papers)

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Research

12 pages, 5083 KiB  
Article
Efficient Detection and Tracking of Human Using 3D LiDAR Sensor
by Juan Gómez, Olivier Aycard and Junaid Baber
Sensors 2023, 23(10), 4720; https://doi.org/10.3390/s23104720 - 12 May 2023
Cited by 4 | Viewed by 4014
Abstract
Light Detection and Ranging (LiDAR) technology is now becoming the main tool in many applications such as autonomous driving and human–robot collaboration. Point-cloud-based 3D object detection is becoming popular and widely accepted in the industry and everyday life due to its effectiveness for [...] Read more.
Light Detection and Ranging (LiDAR) technology is now becoming the main tool in many applications such as autonomous driving and human–robot collaboration. Point-cloud-based 3D object detection is becoming popular and widely accepted in the industry and everyday life due to its effectiveness for cameras in challenging environments. In this paper, we present a modular approach to detect, track and classify persons using a 3D LiDAR sensor. It combines multiple principles: a robust implementation for object segmentation, a classifier with local geometric descriptors, and a tracking solution. Moreover, we achieve a real-time solution in a low-performance machine by reducing the number of points to be processed by obtaining and predicting regions of interest via movement detection and motion prediction without any previous knowledge of the environment. Furthermore, our prototype is able to successfully detect and track persons consistently even in challenging cases due to limitations on the sensor field of view or extreme pose changes such as crouching, jumping, and stretching. Lastly, the proposed solution is tested and evaluated in multiple real 3D LiDAR sensor recordings taken in an indoor environment. The results show great potential, with particularly high confidence in positive classifications of the human body as compared to state-of-the-art approaches. Full article
(This article belongs to the Special Issue SELSA-SD: Sensors for the Environment, Life Science, Applications and Sustainable Development)
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13 pages, 4996 KiB  
Article
Validating Confined Flame Noise Simulation Using External Sensor
by Andrew J. Williamson, Shubham Srivastava and Khaled A. Sallam
Sensors 2022, 22(20), 8039; https://doi.org/10.3390/s22208039 - 21 Oct 2022
Cited by 1 | Viewed by 1418
Abstract
Advancements in lean premixed combustion have increased the efficiency and reduced the amount of greenhouse gas emissions, but they have led to increased noise emissions due to higher turbulence and mixing fluctuations. This study used an external sensor (microphone) to validate the simulation [...] Read more.
Advancements in lean premixed combustion have increased the efficiency and reduced the amount of greenhouse gas emissions, but they have led to increased noise emissions due to higher turbulence and mixing fluctuations. This study used an external sensor (microphone) to validate the simulation of the combustion noise of a confined space. An experimental facility with a laboratory-scale furnace was used to carry out the measurement, and the simulation of the confined flame noise was conducted in OpenFOAM. The simulation utilized the Partially Stirred Reactor (PaSR) and a hybrid computational aeroacoustics (CAA) approach using the large eddy simulation (LES)/the Ffwocs Williams–Hawkings (FWH) method. Additionally, unsteady Reynolds-averaged Navier–Stokes (URANS)/the FWH method was tested for a comparison with the LES prediction. A sensor which was placed outside the enclosure for ease of access was then used to validate the results of the numerical model. The sensor data agreed with the LES/FWH results including the amplitude and frequency of the primary combustion peak and the overall sound pressure level (OASPL). This suggested that a sensor which was placed outside the enclosure could serve as a validation tool for the simulation of the confined flames despite the sound reflections from the walls. Full article
(This article belongs to the Special Issue SELSA-SD: Sensors for the Environment, Life Science, Applications and Sustainable Development)
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16 pages, 3186 KiB  
Article
Development of an Efficient Voltammetric Sensor for the Monitoring of 4-Aminophenol Based on Flexible Laser Induced Graphene Electrodes Modified with MWCNT-PANI
by Salem Nasraoui, Sami Ameur, Ammar Al-Hamry, Mounir Ben Ali and Olfa Kanoun
Sensors 2022, 22(3), 833; https://doi.org/10.3390/s22030833 - 22 Jan 2022
Cited by 15 | Viewed by 3242
Abstract
Sensitive electrodes are of a great importance for the realization of highly performant electrochemical sensors for field application. In the present work, a laser-induced carbon (LIC) electrode is proposed for 4-Aminophenol (4-AP) electrochemical sensors. The electrode is patterned on a commercial low-cost polyimide [...] Read more.
Sensitive electrodes are of a great importance for the realization of highly performant electrochemical sensors for field application. In the present work, a laser-induced carbon (LIC) electrode is proposed for 4-Aminophenol (4-AP) electrochemical sensors. The electrode is patterned on a commercial low-cost polyimide (Kapton) sheet and functionalized with a multi-walled carbon nanotubes polyaniline (MWCNT-PANI) composite, realized by an in-situ-polymerization in an acidic medium. The LIC electrode modified with MWCNT-PAPNI nanocomposite was investigated by SEM, AFM, and electrochemically in the presence of ferri-ferrocyanide [Fe(CN)6]3−/4− by cyclic voltammetry and impedance spectroscopy. The results show a significant improvement of the electron transfer rate after the electrode functionalization in the presence of the redox mediators [Fe(CN)6]3−/4−, related directly to the active surface, which itself increased by about 18.13% compared with the bare LIG. The novel electrode shows a good reproducibility and a stability for 20 cycles and more. It has a significantly enhanced electro-catalytic activity towards electrooxidation reaction of 4-AP inferring positive synergistic effects between carbon nanotubes and polyaniline PANI. The presented electrode combination LIC/MWCNT-PANI exhibits a detection limit of 0.006 μM for the determination of 4-AP at concentrations ranging from 0.1 μM to 55 μM and was successfully applied for the monitoring in real samples with good recoveries. Full article
(This article belongs to the Special Issue SELSA-SD: Sensors for the Environment, Life Science, Applications and Sustainable Development)
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