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Micromachines
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Microfluidic Sensors II
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Microfluidic Sensors II

A special issue of Micromachines (ISSN 2072-666X).

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 14143

Special Issue Editors

Dr. Jie Xu

E-Mail Website
Guest Editor
Mechanical and Industrial Engineering, University of Illinois at Chicago, 842 W Taylor St, Chicago, IL 60607, USA
Interests: microfluidics; fluid mechanics; micro/nano technologies
Special Issues, Collections and Topics in MDPI journals
Dr. Ran Zhou

E-Mail Website
Guest Editor
Department of Mechanical and Civil Engineering, College of Engineering and Sciences, Purdue University Northwest, Hammond, IN 46323-2094, USA
Interests: microfluidics; bio-sensing system; magnetic mixing and separation
Dr. Yang Lin

E-Mail Website
Guest Editor
Department of Mechanical, Industrial, and Systems Engineering, University of Rhode Island, Kingston, RI 02881, USA
Interests: microfluidic sensors; additive manufacturing; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the rapid development of microfluidic engineering and microfabrication techniques, there has been a marked increase in interest and demand for the design and implementation of portable hardware with enhanced sensing capabilities for various applications. Different functional components integrated in a compact microfluidic device provide further understanding and abilities to study fluids and particles at micro- or even nanoscales, which significantly improves sensing efficiency and reduces the need for fluid samples. In conjunction with advanced knowledge in microfabrication, fluid manipulation and sensing methodologies, microfluidic sensors and technologies have been a useful tool in the biomedical, chemical, and food industry with increasing significance.

This Micromachines Special Issue on “Microfluidic Sensors II” is dedicated to the collection of state-of-the-art work on the latest experimental and computational studies of the design, sensing mechanisms, and implementations of novel microfluidic sensors, especially those related to emerging fields such as paper-based microfluidics, machine-learning-driven sensors, automated microfluidics, digital microfluidics, acoustofluidics, magnetofluidics, 3D printed microfluidics, etc. Short communications with originality on relevant topics, review articles, and full research papers, from both industry and academia, are warmly welcomed.

Dr. Jie Xu
Dr. Ran Zhou
Dr. Yang Lin
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. Micromachines 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 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

  • Microfluidics
  • Sensors
  • Biosensors
  • Lab-on-chips

Published Papers (3 papers)

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Research

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10 pages, 3101 KiB  
Article
Deterministic Lateral Displacement Microfluidic Chip for Minicell Purification
by Ahmad Sherbaz, Büşra M. K. Konak, Pegah Pezeshkpour, Barbara Di Ventura and Bastian E. Rapp
Micromachines 2022, 13(3), 365; https://doi.org/10.3390/mi13030365 - 25 Feb 2022
Cited by 11 | Viewed by 3089
Abstract
Deterministic lateral displacement (DLD) is a well-known microfluidic technique for particle separation with high potential for integration into bioreactors for therapeutic applications. Separation is based on the interaction of suspended particles in a liquid flowing through an array of microposts under low Reynolds [...] Read more.
Deterministic lateral displacement (DLD) is a well-known microfluidic technique for particle separation with high potential for integration into bioreactors for therapeutic applications. Separation is based on the interaction of suspended particles in a liquid flowing through an array of microposts under low Reynolds conditions. This technique has been used previously to separate living cells of different sizes but similar shapes. Here, we present a DLD microchip to separate rod-shaped bacterial cells up to 10 µm from submicron spherical minicells. We designed two microchips with 50 and 25 µm cylindrical posts and spacing of 15 and 2.5 µm, respectively. Soft lithography was used to fabricate polydimethylsiloxane (PDMS) chips, which were assessed at different flow rates for their separation potential. The results showed negligible shear effect on the separation efficiency for both designs. However, the higher flow rates resulted in faster separation. We optimized the geometrical parameters including the shape, size, angle and critical radii of the posts and the width and depth of the channel as well as the number of arrays to achieve separation efficiency as high as 75.5% on a single-stage separation. These results pave the way for high-throughput separation and purification modules with the potential of direct integration into bioreactors. Full article
(This article belongs to the Special Issue Microfluidic Sensors II)
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14 pages, 9983 KiB  
Article
Design and Research of Inductive Oil Pollutant Detection Sensor Based on High Gradient Magnetic Field Structure
by Wei Li, Chenzhao Bai, Chengjie Wang, Hongpeng Zhang, Lebile Ilerioluwa, Xiaotian Wang, Shuang Yu and Guobin Li
Micromachines 2021, 12(6), 638; https://doi.org/10.3390/mi12060638 - 30 May 2021
Cited by 10 | Viewed by 2037
Abstract
An inductive oil pollutant detection sensor based on a high-gradient magnetic field structure is designed in this paper, which is mainly used for online detection and fault analysis of pollutants in hydraulic and lubricating oil systems. The innovation of the sensor is based [...] Read more.
An inductive oil pollutant detection sensor based on a high-gradient magnetic field structure is designed in this paper, which is mainly used for online detection and fault analysis of pollutants in hydraulic and lubricating oil systems. The innovation of the sensor is based on the inductance detection method. Permalloy is embedded in the sensing region of the sensor, so that the detection area generates a high gradient magnetic field to enhance the detection accuracy of the sensor. Compared with traditional inductive sensors, the sensor has a significant improvement in detection accuracy, and the addition of permalloy greatly improves the stability of the sensor’s detection unit structure. The article theoretically analyzes the working principle of the sensor, optimizes the design parameters and structure of the sensor through simulation, determines the best permalloy parameters, and establishes an experimental system for verification. Experimental results show that when a piece of permalloy is added to the sensing unit, the signal-to-noise ratio (SNR) of iron particles is increased by more than 20%, and the signal-to-noise ratio of copper particles is increased by more than 70%. When two pieces of permalloy are added, the signal-to-noise ratio for iron particles is increased by more than 70%, and the SNR for copper particles is increased several times. This method raises the lower limit of detection for ferromagnetic metal particles to 20 μm, and the lower limit for detection of non-ferromagnetic metal particles to 80 μm, which is the higher detection accuracy of the planar coil sensors. This paper provides a new and faster online method for pollutant detection in oil, which is of great significance for diagnosing and monitoring the health of oil in mechanical systems. Full article
(This article belongs to the Special Issue Microfluidic Sensors II)
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Review

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21 pages, 5429 KiB  
Review
Acoustic Microfluidic Separation Techniques and Bioapplications: A Review
by Yuan Gao, Mengren Wu, Yang Lin and Jie Xu
Micromachines 2020, 11(10), 921; https://doi.org/10.3390/mi11100921 - 02 Oct 2020
Cited by 69 | Viewed by 8218
Abstract
Microfluidic separation technology has garnered significant attention over the past decade where particles are being separated at a micro/nanoscale in a rapid, low-cost, and simple manner. Amongst a myriad of separation technologies that have emerged thus far, acoustic microfluidic separation techniques are extremely [...] Read more.
Microfluidic separation technology has garnered significant attention over the past decade where particles are being separated at a micro/nanoscale in a rapid, low-cost, and simple manner. Amongst a myriad of separation technologies that have emerged thus far, acoustic microfluidic separation techniques are extremely apt to applications involving biological samples attributed to various advantages, including high controllability, biocompatibility, and non-invasive, label-free features. With that being said, downsides such as low throughput and dependence on external equipment still impede successful commercialization from laboratory-based prototypes. Here, we present a comprehensive review of recent advances in acoustic microfluidic separation techniques, along with exemplary applications. Specifically, an inclusive overview of fundamental theory and background is presented, then two sets of mechanisms underlying acoustic separation, bulk acoustic wave and surface acoustic wave, are introduced and discussed. Upon these summaries, we present a variety of applications based on acoustic separation. The primary focus is given to those associated with biological samples such as blood cells, cancer cells, proteins, bacteria, viruses, and DNA/RNA. Finally, we highlight the benefits and challenges behind burgeoning developments in the field and discuss the future perspectives and an outlook towards robust, integrated, and commercialized devices based on acoustic microfluidic separation. Full article
(This article belongs to the Special Issue Microfluidic Sensors II)
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