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Lab-on-a-Chip–From Point of Care to Precision Medicine (Volume II)

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

Deadline for manuscript submissions: closed (20 September 2023) | Viewed by 4349

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Special Issue Editors

Prof. Dr. Giuseppe Maruccio

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Guest Editor

Omnics Research Group, Department of Mathematics and Physics "Ennio De Giorgi", University of Salento, Institute of Nanotechnology CNR-Nanotec, INFN Sezione di Lecce, Via per Monteroni, 73100 Lecce, Italy
Interests: lab on chip; organ on chip; biosensors; diagnostics; drug screening
Special Issues, Collections and Topics in MDPI journals

Dr. Anna Grazia Monteduro

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Guest Editor

Omnics Research Group, University of Salento, Piazza Tancredi, 7, 73100 Lecce, Italy
Interests: biosensors; drug screening; lab-on-a-chip; spintronics and nanomagnetism; functional oxides
Special Issues, Collections and Topics in MDPI journals

Dr. Silvia Rizzato

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Guest Editor

Omnics Research Group, University of Salento, Piazza Tancredi, 7, 73100 Lecce, Italy
Interests: sensors; microfluidics and lab-on-a-chip; microfabrication; spintronics and nanomagnetism; scanning probe microscopy

Special Issue Information

Dear Colleagues,

Miniaturization is a key trend for innovating and improving modern technologies. This tendency started with microelectronics but nowadays involves several fields, including sensors and their integration in Lab-on-a-Chip platforms. Thanks to a number of key technological advances, several assays and biological procedures have been miniaturized into a chip format including DNA sequencing, polymerase chain reaction (PCR), electrophoresis, DNA separation, enzymatic assays, immunoassays, cell counting, cell sorting, and cell culture. All these components and methodologies have allowed us to move from proofs of concept to relevant applications, which span several fields, from environmental and agro-food monitoring to biomedical studies, providing biochips that are faster, simpler, cheaper and more powerful biochips than traditional tools.

Today, Lab-on-a-Chip allows parallel analysis of large numbers of samples, biological molecules (nucleic acids, proteins), cells and drugs. Diffusion of real-time monitoring tools and the identification of personalized drug response profiles are just a few examples that have recently become possible.

The aim of this Special Issue is to report on progress and new directions in the field:

How microfluidics brought new opportunities and capabilities to modern diagnostics;
To which extent today’s biosensor technologies allow access to an unprecedented set of complementary information and pattern analysis;
How their combination in Lab-on-a-Chip provides new tools for on-field analysis, point-of-care diagnosis and precision medicine, allowing them to also mimic complex biological environments in Organ-on-a-Chip.

We welcome both research and review papers regarding progress in biosensors, microfluidics, and Lab-on-a-Chip ranging from technological advances to applications in medical diagnostics, agro-food, and environmental monitoring.

Prof. Dr. Giuseppe Maruccio
Dr. Anna Grazia Monteduro
Dr. Silvia Rizzato
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

Lab-on-a-Chip
biosensors
microfluidics
miniaturization
microfluidic and sensing integration
on-chip diagnosis
healthcare
agro-food control
near-the-bed diagnosis
point-of-care tests
predictive and personalized medicine
low-cost devices
innovative materials for biosensing

Published Papers (3 papers)

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Research

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13 pages, 3174 KiB

Open AccessArticle

The Real-Time Validation of the Effectiveness of Third-Generation Hyperbranched Poly(ɛ-lysine) Dendrons-Modified KLVFF Sequences to Bind Amyloid-β_1-42 Peptides Using an Optical Waveguide Light-Mode Spectroscopy System

by Valeria Perugini and Matteo Santin

Sensors 2022, 22(23), 9561; https://doi.org/10.3390/s22239561 - 06 Dec 2022

Cited by 1 | Viewed by 1327

Abstract

The aggregation of cytotoxic amyloid peptides (Aβ_1-42) is widely recognised as the cause of brain tissue degeneration in Alzheimer’s disease (AD). Indeed, evidence indicates that the deposition of cytotoxic Aβ_1-42 plaques formed through the gradual aggregation of Aβ_1-42 monomers into fibrils determines the onset of AD. Thus, distinct Aβ_1-42 inhibitors have been developed, and only recently, the use of short linear peptides has shown promising results by either preventing or reversing the process of Aβ_1-42 aggregation. Among them, the KLVFF peptide sequence, which interacts with the hydrophobic region of Aβ_16-20, has received widespread attention due to its ability to inhibit fibril formation of full-length Aβ_1-42. In this study, hyperbranched poly-L-lysine dendrons presenting sixteen KLVFF at their uppermost molecular branches were designed with the aim of providing the KLVFF sequence with a molecular scaffold able to increase its stability and of improving Aβ_1-42 fibril formation inhibitory effect. These high-purity branched KLVFF were used to functionalise the surface of the metal oxide chip of the optical waveguide lightmode spectroscopy sensor showing the more specific, accurate and rapid measurement of Aβ_1-42 than that detected by linear KLVFF peptides. Full article

(This article belongs to the Special Issue Lab-on-a-Chip–From Point of Care to Precision Medicine (Volume II))

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21 pages, 8370 KiB

Open AccessArticle

MEMSbased Double-Stacked Tower Biosensor Array with Integrated Readout Circuitry for Detection of Salivary pH as a Diagnostic Biomarker Applied for Chronic Periodontal Disease

by Wei-Cheng Lin

Sensors 2022, 22(22), 8652; https://doi.org/10.3390/s22228652 - 09 Nov 2022

Viewed by 1217

Abstract

MEMS based 3D double stacked tower pixel biosensor 10 × 10 array with integration of readout circuit for detection of saliva pH ion is demonstrated. The pixel biosensor comprised a driving electrode, sensing electrode and double stack tower pixel structure. The sensitivity of double stacked tower biosensor can be auxiliary enhanced by proposed lower-jitter low dropout regulator circuit and dual offset cancellation comparator. The double stacked tower sensor is fabricated by MEMS backend-of-line CMOS process, it is compatible with CMOS frontend readout circuits and integrated as a system-on-chip (SoC). The double stacked tower pixel by MEMS process is to obtain a larger volume ratio of charge groups in a pixel of biosensor to enhance the sensitivity and linearity for ion detection. With the double stacked tower structure in biosensor, the sensitivity is improved by 31% than that of single tower structure proved by simulation. A wide-range linearity from pH 2.0 to pH 8.3, high sensitivity of −21 ADC counts/pH (or 212 mV/pH), response time of 5 s, repetition of 98.9%, and drift over time of 0.5 mV are achieved. Furthermore, the proposed biosensor was performed to confirm the artificial saliva from healthy gingiva, chronic gingivitis and chronic periodontitis, the measured ADC counts from proposed biosensor SoC was in consistent of that measured cyclic voltametric (CV) method very well. The proposed 3D double stack tower biosensor and readout circuit can be further integrated with internet-of-thing (IoT) device and NFC for data transmission for continuous pH sensing to facilitate the chronic gingiva disease health care at home. Full article

(This article belongs to the Special Issue Lab-on-a-Chip–From Point of Care to Precision Medicine (Volume II))

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Review

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14 pages, 2602 KiB

Open AccessReview

Fully Autonomous Active Self-Powered Point-of-Care Devices: The Challenges and Opportunities

by Laura Crivillé-Tena, Jordi Colomer-Farrarons and Pere Ll. Miribel-Català

Sensors 2023, 23(23), 9453; https://doi.org/10.3390/s23239453 - 28 Nov 2023

Viewed by 986

Abstract

Quick and effective point-of-care (POC) devices have the chance to revolutionize healthcare in developed and developing countries since they can operate anywhere the patient is, with the possibility of obtaining and sending the results to the doctor without delay. In recent years, significant efforts have focused on developing new POC systems that can screen for biomarkers continuously and non-invasively in body fluids to prevent, diagnose, and manage diseases. However, one of the critical challenges left to address is how to power them effectively and sufficiently. In developing countries and rural and remote areas, where there are usually no well-established electricity grids or nearby medical facilities, and using batteries is unreliable or not cost-effective, alternative power sources are the most challenging issue for stand-alone and self-sustained POC devices. Here, we provide an overview of the techniques for used self-powering POC devices, where the sample is used to detect and simultaneously generate energy to power the system. Likewise, this paper introduced the state-of-the-art with a review of different research projects, patents, and commercial products for self-powered POCs from the mid-2010s until present day. Full article

(This article belongs to the Special Issue Lab-on-a-Chip–From Point of Care to Precision Medicine (Volume II))

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