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Biosensors
Special Issues
Microfluidic Systems and Computational Imaging Methods in Lab-on-a-Chip Technologies
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Microfluidic Systems and Computational Imaging Methods in Lab-on-a-Chip Technologies

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Nano- and Micro-Technologies in Biosensors".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 516

Special Issue Editors

Dr. Maide Bucolo

E-Mail Website
Guest Editor
Department of Electrical, Electronics and Computer Engineering (DIEEI), University of Catania, Catania, Italy
Interests: two-phase microfluidics; 3D-printing micro-fabrication; micro-optofluidics
Special Issues, Collections and Topics in MDPI journals
Dr. Massimo Camarda

E-Mail Website
Guest Editor
STLab srl, Catania, Italy
Interests: dielectrophoresis; lab on a chip; thin-film technologies; micro-fabrications; 3D printing
Dr. Pasquale Memmolo

E-Mail Website1 Website2
Guest Editor
Institute of Applied Sciences and Intelligent Systems “Eduardo Caianiello” (ISASI), Pozzuoli, Italy
Interests: computational microscopy; digital holography; lab on a chip; holographic tomography; machine learning

Special Issue Information

Dear Colleagues,

The industrial sector surrounding biomedical devices could significantly benefit from microfluidics point-of-care (POC)-based diagnostics. The premise behind POC devices is to perform a diagnostic test near the patient without the need for any infrastructure or trained personnel. This involves reducing the handling of complex fluids, from single cells to multi-phase flows, integrated detection, and sample manipulation. Integrating embedded micro-devices for technologies related to mechanics, optics, microscopy, electronics, fluidics, and computing, together with low-cost micro-fabrication technology, is fundamental in POC device realization. This Special Issue aims to showcase contributions focusing on (but not limited to) new concepts in POC device realization.

Dr. Maide Bucolo
Dr. Massimo Camarda
Dr. Pasquale Memmolo
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. Biosensors is an international peer-reviewed open access monthly 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 2700 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

  • cell manipution and sorting
  • complex flow in biomicrofluidics
  • image and signal processing in bio-chip
  • artificial-inteligence-powered systems
  • computational microscopy
  • micro-fabrication and advanced materials
  • embedded systems
  • dielectrophoresis
  • electrophoresis
  • hydrofocusing

Published Papers (1 paper)

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Research

12 pages, 2428 KiB  
Article
A Label-Free Droplet Sorting Platform Integrating Dielectrophoretic Separation for Estimating Bacterial Antimicrobial Resistance
by Jia-De Yan, Chiou-Ying Yang, Arum Han and Ching-Chou Wu
Biosensors 2024, 14(5), 218; https://doi.org/10.3390/bios14050218 - 26 Apr 2024
Viewed by 298
Abstract
Antimicrobial resistance (AMR) has become a crucial global health issue. Antibiotic-resistant bacteria can survive after antibiotic treatments, lowering drug efficacy and increasing lethal risks. A microfluidic water-in-oil emulsion droplet system can entrap microorganisms and antibiotics within the tiny bioreactor, separate from the surroundings, [...] Read more.
Antimicrobial resistance (AMR) has become a crucial global health issue. Antibiotic-resistant bacteria can survive after antibiotic treatments, lowering drug efficacy and increasing lethal risks. A microfluidic water-in-oil emulsion droplet system can entrap microorganisms and antibiotics within the tiny bioreactor, separate from the surroundings, enabling independent assays that can be performed in a high-throughput manner. This study presents the development of a label-free dielectrophoresis (DEP)-based microfluidic platform to sort droplets that co-encapsulate Escherichia coli (E. coli) and ampicillin (Amp) and droplets that co-encapsulate Amp-resistant (AmpR) E. coli with Amp only based on the conductivity-dependent DEP force (FDEP) without the assistance of optical analyses. The 9.4% low conductivity (LC) Luria–Bertani (LB) broth diluted with 170 mM mannitol can maintain E. coli and AmpR E. coli growth for 3 h and allow Amp to kill almost all E. coli, which can significantly increase the LCLB conductivity by about 100 μS/cm. Therefore, the AmpR E. coli/9.4%LCLB/Amp where no cells are killed and the E. coli/9.4%LCLB/Amp-containing droplets where most of the cells are killed can be sorted based on this conductivity difference at an applied electric field of 2 MHz and 100 Vpp that generates positive FDEP. Moreover, the sorting ratio significantly decreased to about 50% when the population of AmpR E. coli was equal to or higher than 50% in droplets. The conductivity-dependent DEP-based sorting platform exhibits promising potential to probe the ratio of AmpR E. coli in an unknown bacterial sample by using the sorting ratio as an index. Full article
(This article belongs to the Special Issue Microfluidic Systems and Computational Imaging Methods in Lab-on-a-Chip Technologies)
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