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Applied Sciences
Special Issues
Design and Sensitivity Analysis for Biosensors: Latest Advances and Prospects
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Design and Sensitivity Analysis for Biosensors: Latest Advances and Prospects

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".

Deadline for manuscript submissions: 30 July 2024 | Viewed by 1346

Special Issue Editors

Dr. Naveen Kumar

E-Mail Website
Guest Editor
Device Modelling Group, School of Engineering, University of Glasgow, Glasgow G12 8LT, UK
Interests: semiconductor device physics; microelectronics and semiconductor engineering; nanoelectronics; electrical characterization; optoelectronics device physics; semiconductor fabrication; nanostructure; semiconductor device modeling; material characterization; I-VSemiconductor; MOS; GaN; nanowires; nanotubes; sensors; ISFET; biosensors; circuits; graphene; quantum dots
Dr. César Pascual García

E-Mail Website
Guest Editor
Materials Research and Technology Department, Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg
Interests: biotechnology; cell biology; biophysics; solid state physics; materials science; materials chemistry; nanotechnology; spectroscopy

Special Issue Information

Dear Colleagues,

Biosensors are becoming a more prominent part of our lives. The requirements of high sensitivity, better reliability, accuracy, and repeatability of biosensors are a few major deal breakers for a biosensor to be commercialized. Most biosensors, either selective or label free, are based on the interaction of the receptor and target molecules but it is always hard to predict the behavior of the sensor system. Even with the advancements, recent research still focuses on the design and optimization of novel biosensor structures. Therefore, this Special Issue focuses on the latest advancements and prospects of novel biosensor designs. We encourage authors to submit manuscripts on FET-based biosensors and biosensing signal amplification circuits are encouraged. Experimental or simulation studies of biosensors to explain the quantitative results are also welcome.

Dr. Naveen Kumar
Dr. César Pascual García
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. Applied Sciences 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 2400 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.

Published Papers (1 paper)

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Research

16 pages, 1508 KiB  
Article
Open-Source Wearable Sensors for Behavioral Analysis of Sheep Undergoing Heat Stress
by Barbara Roqueto dos Reis, Tien Nguyen, Sathya Sujani and Robin R. White
Appl. Sci. 2023, 13(16), 9281; https://doi.org/10.3390/app13169281 - 16 Aug 2023
Viewed by 963
Abstract
Heat stress (HS) negatively affects animal productivity and welfare. The usage of wearable sensors to detect behavioral changes in ruminants undergoing HS has not been well studied. This study aimed to investigate changes in sheep’s behavior using a wearable sensor and explore how [...] Read more.
Heat stress (HS) negatively affects animal productivity and welfare. The usage of wearable sensors to detect behavioral changes in ruminants undergoing HS has not been well studied. This study aimed to investigate changes in sheep’s behavior using a wearable sensor and explore how ambient temperature influenced the algorithm’s capacity to classify behaviors. Six sheep (Suffolk, Dorset, or Suffolk × Dorset) were assigned to 1 of 2 groups in a cross-over experimental design. Groups were assigned to one of two rooms where they were housed for 20d prior to switching rooms. The thermal environment within the rooms was altered five times per period. In the first room, the temperature began at a thermoneutral level and gradually increased before decreasing. Simultaneously, in the second room, the temperature began at hot temperatures and gradually decreased before increasing again. Physiological responses (respiratory rate, heart rate, and rectal temperature) were analyzed using a linear mixed-effects model. A random forest algorithm was developed to classify lying, standing, eating, and ruminating (while lying and standing). Thermal stress shifted daily animal behavior budgets, increasing total time spent standing in hot conditions (p = 0.036). Although models had a similar capacity to classify behaviors within a temperature range, their accuracy decreased when applied outside that range. Although wearable sensors may help classify behavioral shifts indicative of thermal stress, algorithms must be robustly derived across environments. Full article
(This article belongs to the Special Issue Design and Sensitivity Analysis for Biosensors: Latest Advances and Prospects)
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