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Bio-Inspired Micro and Nano Sensors and Biomedical Applications

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

Deadline for manuscript submissions: closed (15 December 2022) | Viewed by 3783

Special Issue Editors


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Guest Editor
Department of Electronics and Telecommunications (DET), Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Turin, Italy
Interests: smart electronic systems; bio-inspired electronics; biomedical applications; micro and nano electronics

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Guest Editor
Department of Electronics and Telecommunications, Polytechnic of Turin, 10129 Turin, Italy
Interests: event-driven digital integrated circuits, architectures, and systems; low power smart sensor networks; bio-inspired electronics; biomedical applications

Special Issue Information

Dear Colleagues,

In the new biomedical applications scenario of recent years, where the IoT revolution is promising the advent of personalized/precision medicine, new challenges are emerging in designing and developing next-generation sensors. Common requirements no longer entail “only” good performance, but also (among the others) high availability (e.g., in continuous monitoring), minimal size and complexity, minimal power consumption, smart capabilities (i.e., detecting anomalies or focusing on the actual information content of the sensed data), and wearability. It is clear that all of these features are already “available” in biological systems, where the evolutionary pressure has been a driving factor in exploiting, broadly speaking, quality–energy trade-offs for optimized performances and energy consumption/resource requirements.

Therefore, we advocate the need for taking inspiration from biological systems in order to design and develop micro and nano sensors for next-generation biomedical applications. Sensors, from the engineering perspective, are not only a matter of designing the right transducer, but they also need matching electronics too, implementing the proper information processing in order to move from raw data acquisition devices to information acquisition and transmission systems.

We invite you to contribute original research papers aligned with these themes, to advance and improve the state of the art in bio-inspired sensors for biomedical applications, providing new opportunities, approaches, and solutions to next-generation biomedical application challenges.

Prof. Dr. Danilo Demarchi
Dr. Paolo Motto Ros
Guest Editors

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Keywords

  • Bioinspired circuits and systems
  • Integrated (CMOS) biosensing
  • Low-power/low-complexity sensor architectures
  • Quality-energy trade-off
  • Precision/personalized medicine
  • IoT and biomedical applications

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Published Papers (1 paper)

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Research

11 pages, 3357 KiB  
Article
PCB-Based Magnetometer as a Platform for Quantification of Lateral-Flow Assays
by Mohammad Khodadadi, Long Chang, João R. C. Trabuco, Binh V. Vu, Katerina Kourentzi, Richard C. Willson and Dmitri Litvinov
Sensors 2019, 19(24), 5433; https://doi.org/10.3390/s19245433 - 10 Dec 2019
Cited by 6 | Viewed by 3154
Abstract
This work presents a proof-of-concept demonstration of a novel inductive transducer, the femtoMag, that can be integrated with a lateral-flow assay (LFA) to provide detection and quantification of molecular biomarkers. The femtoMag transducer is manufactured using a low-cost printed circuit board (PCB) technology [...] Read more.
This work presents a proof-of-concept demonstration of a novel inductive transducer, the femtoMag, that can be integrated with a lateral-flow assay (LFA) to provide detection and quantification of molecular biomarkers. The femtoMag transducer is manufactured using a low-cost printed circuit board (PCB) technology and can be controlled by relatively inexpensive electronics. It allows rapid high-precision quantification of the number (or amount) of superparamagnetic nanoparticle reporters along the length of an LFA test strip. It has a detection limit of 10−10 emu, which is equivalent to detecting 4 ng of superparamagnetic iron oxide (Fe3O4) nanoparticles. The femtoMag was used to quantify the hCG pregnancy hormone by quantifying the number of 200 nm magnetic reporters (superparamagnetic Fe3O4 nanoparticles embedded into a polymer matrix) immuno-captured within the test line of the LFA strip. A sensitivity of 100 pg/mL has been demonstrated. Upon further design and control electronics improvements, the sensitivity is projected to be better than 10 pg/mL. Analysis suggests that an average of 109 hCG molecules are needed to specifically bind 107 nanoparticles in the test line. The ratio of the number of hCG molecules in the sample to the number of reporters in the test line increases monotonically from 20 to 500 as the hCG concentration increases from 0.1 ng/mL to 10 ng/mL. The low-cost easy-to-use femtoMag platform offers high-sensitivity/high-precision target analyte quantification and promises to bring state-of-the-art medical diagnostic tests to the point of care. Full article
(This article belongs to the Special Issue Bio-Inspired Micro and Nano Sensors and Biomedical Applications)
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