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Topical Advisory Panel Members’ Collection Series: Advanced Sensors for Point-of-Care Diagnostics

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

Deadline for manuscript submissions: 30 June 2024 | Viewed by 2925

Special Issue Editors

Dr. Krishna Kant

E-Mail Website
Guest Editor
Centro De Investigaciones Biomédicas (CINBIO), Universidade de Vigo, 36310 Vigo, Spain
Interests: microfluidic sensing; electrochemical bio-sensing; point-of-care diagnostics; precision diagnostics; plasmonic sensing; microfluidic devices; lab-on-chip
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Min Park

E-Mail Website
Guest Editor
Materials Science and Engineering, Hallym University, Chuncheon 24252, Republic of Korea
Interests: biosensor; immunoassay; medical diagnosis; biomaterials; immunoaffinity layer; autodisplay technology; antibody immobilization; real-time monitoring
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The present Sensor technologies have achieved significant advancement in precision detection and are applied towards the diagnostic application. High sensitivity and selectivity in sensing are presented with fast, low-cost, and robust systems. This development in sensing technologies and translating towards our day-to-day lives, expanding the functions and marketplace.

This Special Issue “Advanced Sensors for Point-of-Care Diagnostics” is devoted to all extents of research connected to sensor technologies in a wide-ranging classification. It includes the artificial intelligence and development of sensor interfaces integrating bio application and lab on a chip, point-of-care devices, etc.

This Special Issue is open to a wide range of sensor functions, approaches, methodologies in medical diagnosis, environmental and food diagnostic research. The Special Issue will consist of original research articles and reviews.

Dr. Krishna Kant
Prof. Dr. Min Park
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

  • biosensors
  • microfluidic devices
  • molecular diagnostics
  • digital health and sensors
  • precision diagnostics

Published Papers (3 papers)

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Research

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16 pages, 10756 KiB  
Article
Ternary Nanostructure Coupling Flip-Flap Origami-Based Aptasensor for the Detection of Dengue Virus Antigens
by Mohd. Rahil Hasan, Saumitra Singh, Pradakshina Sharma, Chhaya Rawat, Manika Khanuja, Roberto Pilloton and Jagriti Narang
Sensors 2024, 24(3), 801; https://doi.org/10.3390/s24030801 - 25 Jan 2024
Cited by 1 | Viewed by 699
Abstract
There is currently a lot of interest in the construction of point-of-care devices stemming from paper-based origami biosensors. These devices demonstrate how paper’s foldability permits the construction of sensitive, selective, user-friendly, intelligent, and maintainable analytical devices for the detection of several ailments. Herein, [...] Read more.
There is currently a lot of interest in the construction of point-of-care devices stemming from paper-based origami biosensors. These devices demonstrate how paper’s foldability permits the construction of sensitive, selective, user-friendly, intelligent, and maintainable analytical devices for the detection of several ailments. Herein, the first example of the electrochemical aptasensor-based polyvalent dengue viral antigen detection using the origami paper-folding method is presented. Coupling it with an aptamer leads to the development of a new notation known as OBAs, or origami-based aptasensor, that presents a multitude of advantages to the developed platform, such as assisting in safeguarding the sample from air-dust particles, providing confidentiality, and providing a closed chamber to the electrodes. In this paper, gold-decorated nanocomposites of zinc and graphene oxide (Au/ZnO/GO) were synthesized via the chemical method, and characterization was conducted by Scanning Electron Microscope, Transmission Electron Microscope, UV-Vis, and XRD which reveals the successful formation of nanocomposites, mainly helping to enhance the signal and specificity of the sensor by employing aptamers, since isolation and purification procedures are not required. The biosensor that is being demonstrated here is affordable, simple, and efficient. The reported biosensor is an OBA detection of polyvalent antigens of the dengue virus in human serum, presenting a good range from 0.0001 to 0.1 mg/mL with a limit of detection of 0.0001 mg/mL. The reported single-folding ori-aptasensor demonstrates exceptional sensitivity, specificity, and performance in human serum assays, and can also be used for the POC testing of various viral infections in remote areas and underdeveloped countries, as well as being potentially effective during outbreaks. Highlights: (1) First report on origami-based aptasensors for the detection of polyvalent antigens of DENV; (2) In-house construction of low-cost origami-based setup; (3) Gold-decorated zinc/graphene nanocomposite characterization was confirmed via FESEM/UV-Vis/FTIR; (4) Cross-reactivity of dengue-aptamer has been deduced; (5) Electrochemical validation was conducted through CV. Full article
(This article belongs to the Special Issue Topical Advisory Panel Members’ Collection Series: Advanced Sensors for Point-of-Care Diagnostics)
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19 pages, 3146 KiB  
Article
Non-Contact Thermal and Acoustic Sensors with Embedded Artificial Intelligence for Point-of-Care Diagnostics
by Luís Rodríguez-Cobo, Luís Reyes-Gonzalez, José Francisco Algorri, Sara Díez-del-Valle Garzón, Roberto García-García, José Miguel López-Higuera and Adolfo Cobo
Sensors 2024, 24(1), 129; https://doi.org/10.3390/s24010129 - 26 Dec 2023
Viewed by 861
Abstract
This work involves exploring non-invasive sensor technologies for data collection and preprocessing, specifically focusing on novel thermal calibration methods and assessing low-cost infrared radiation sensors for facial temperature analysis. Additionally, it investigates innovative approaches to analyzing acoustic signals for quantifying coughing episodes. The [...] Read more.
This work involves exploring non-invasive sensor technologies for data collection and preprocessing, specifically focusing on novel thermal calibration methods and assessing low-cost infrared radiation sensors for facial temperature analysis. Additionally, it investigates innovative approaches to analyzing acoustic signals for quantifying coughing episodes. The research integrates diverse data capture technologies to analyze them collectively, considering their temporal evolution and physical attributes, aiming to extract statistically significant relationships among various variables for valuable insights. The study delineates two distinct aspects: cough detection employing a microphone and a neural network, and thermal sensors employing a calibration curve to refine their output values, reducing errors within a specified temperature range. Regarding control units, the initial implementation with an ESP32 transitioned to a Raspberry Pi model 3B+ due to neural network integration issues. A comprehensive testing is conducted for both fever and cough detection, ensuring robustness and accuracy in each scenario. The subsequent work involves practical experimentation and interoperability tests, validating the proof of concept for each system component. Furthermore, this work assesses the technical specifications of the prototype developed in the preceding tasks. Real-time testing is performed for each symptom to evaluate the system’s effectiveness. This research contributes to the advancement of non-invasive sensor technologies, with implications for healthcare applications such as remote health monitoring and early disease detection. Full article
(This article belongs to the Special Issue Topical Advisory Panel Members’ Collection Series: Advanced Sensors for Point-of-Care Diagnostics)
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Review

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25 pages, 9960 KiB  
Review
From Body Monitoring to Biomolecular Sensing: Current Progress and Future Perspectives of Triboelectric Nanogenerators in Point-of-Care Diagnostics
by Zequan Zhao, Yajun Mi, Hafeez Ur Rehman, Enqi Sun, Xia Cao and Ning Wang
Sensors 2024, 24(2), 511; https://doi.org/10.3390/s24020511 - 14 Jan 2024
Viewed by 907
Abstract
In the constantly evolving field of medical diagnostics, triboelectric nanogenerators (TENGs) stand out as a groundbreaking innovation for simultaneously harnessing mechanical energy from micromovements and sensing stimuli from both the human body and the ambient environment. This advancement diminishes the dependence of biosensors [...] Read more.
In the constantly evolving field of medical diagnostics, triboelectric nanogenerators (TENGs) stand out as a groundbreaking innovation for simultaneously harnessing mechanical energy from micromovements and sensing stimuli from both the human body and the ambient environment. This advancement diminishes the dependence of biosensors on external power sources and paves the way for the application of TENGs in self-powered medical devices, especially in the realm of point-of-care diagnostics. In this review, we delve into the functionality of TENGs in point-of-care diagnostics. First, from the basic principle of how TENGs effectively transform subtle physical movements into electrical energy, thereby promoting the development of self-powered biosensors and medical devices that are particularly advantageous for real-time biological monitoring. Then, the adaptable design of TENGs that facilitate customization to meet individual patient needs is introduced, with a focus on their biocompatibility and safety in medical applications. Our in-depth analysis also covers TENG-based biosensor designs moving toward exceptional sensitivity and specificity in biomarker detection, for accurate and efficient diagnoses. Challenges and future prospects such as the integration of TENGs into wearable and implantable devices are also discussed. We aim for this review to illuminate the burgeoning field of TENG-based intelligent devices for continuous, real-time health monitoring; and to inspire further innovation in this captivating area of research that is in line with patient-centered healthcare. Full article
(This article belongs to the Special Issue Topical Advisory Panel Members’ Collection Series: Advanced Sensors for Point-of-Care Diagnostics)
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