Nanomechanical Sensors for Gas Detection
A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensor and Bioelectronic Devices".
Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 20988
Special Issue Editor
Interests: nanomechanical sensors; nanomaterials; nanocarbons; organic synthesis; supramolecular chemistry; biosensors
Special Issue Information
Dear Colleagues,
The detection of gases has gained significant attention, with potential applications not only for monitoring food and environmental safety but also for healthcare and medical diagnosis. Nanomechanical sensors and their arrays can be utilized as sensing units for detecting, distinguishing, and identifying target analytes, especially odors, which are composed of a complex mixture of gaseous and volatile molecules. Since a multidimensional dataset obtained from a nanomechanical sensor array contains a large amount of information, multivariate analyses and machine learning techniques can be effectively applied to distinguish and identify gases more accurately. In the application of nanomechanical sensors for gas detection, it is necessary to improve the sensitivity and selectivity of receptor materials and develop effective analytical methods, including machine learning approaches. A Special Issue of Biosensors can become a scientific platform for discussing the advantages and possibilities of nanomechanical sensor-based gas detection.
Accordingly, this Special Issue of Biosensors will cover the topic of gas sensing using nanomechanical sensors, including both dynamic and static mode operations. It is my great pleasure to invite you to submit original research papers, comprehensive reviews, and communications focusing on topics such as:
- The design of novel nanomechanical sensor systems;
- Sensitive and selective materials for nanomechanical sensors—e.g, polymers, nanomaterials, nanocomposites, nanocarbons, and 2D materials;
- The use of analytical methods for gas/odor detection: signal processing and machine learning;
- Electronic nose (e-nose)/artificial olfaction;
- Biological applications of nanomechanical gas sensors.
Dr. Kosuke Minami
Guest Editor
Manuscript Submission Information
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Keywords
- nanomechanical sensors
- gas sensors
- dynamic and static mode
- electronic nose (e-nose)
- artificial olfaction
- breath diagnosis
- machine learning
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