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Micromachines
Special Issues
Intelligent Biosensors and Biochips
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Intelligent Biosensors and Biochips

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B：Biology and Biomedicine".

Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 6630

Special Issue Editors

Dr. Jianlong Ji

E-Mail Website
Guest Editor
Associate professor, Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, China
Interests: organic electrochemistry; microfluidic chip
Dr. Sheng Yan

E-Mail Website
Guest Editor
Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China
Interests: microfluidics; biosensing; wearable electronics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are very pleased to invite you to contribute to this Special Issue related to the emerging domain in intelligent biosensors and biochips and the interdisciplinary. Biosensors are analytical devices incorporating a biological sensing element integrated within a physicochemical transducer or transducing microsystem. Biosensors normally produce an electrical signal being proportional to the concentration of analyte at high sensitivity and selectivity. The intelligent biosensors can harvest power from the environment, conduct pattern analysis and classification, and transmit therapeutic results onto the wireless cloud. Biochips are miniaturized laboratories that can perform hundreds and thousands of simultaneous biochemical reactions. On the one side, intelligent biosensors enable biochips the high-throughput analysis of hundreds of samples that are placed on fingernail-sized plates reacting with cells, enzymes, or DNA. On the other side, the advanced soft microfluidic biochips enable the conformal contact of human skins and simultaneous extraction, collection, and storage of sweat, rendering biosensors realizing continuous physiological monitoring, which is urgently required for the treatment of many medical conditions. The purpose of this special issue is to provide a forum for ongoing research activities in the design, fabrication, and application of intelligent biosensors and biochips. Potential topics include, but are not limited, to the following:

  • Bio-inspired algorithms and artificial intelligence for intelligent sensors;
  • Micro/nano manufacturing technologies for flexible biosensors and biochips;
  • Smart wearable and implantable sensors and biochips;
  • Micro- and nano-total analysis system integrated with sensors.

Dr. Jianlong Ji
Dr. Sheng Yan
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

  • biosensor
  • bionics
  • microfluidic chip
  • biochip
  • artificial intelligence

Published Papers (3 papers)

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Research

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14 pages, 1760 KiB  
Article
Implementation of a Sponge-Based Flexible Electronic Skin for Safe Human–Robot Interaction
by Kun Yang, Xinkai Xia, Fan Zhang, Huanzhou Ma, Shengbo Sang, Qiang Zhang and Jianlong Ji
Micromachines 2022, 13(8), 1344; https://doi.org/10.3390/mi13081344 - 19 Aug 2022
Cited by 1 | Viewed by 2017
Abstract
In current industrial production, robots have increasingly been taking the place of manual workers. With the improvements in production efficiency, accidents that involve operators occur frequently. In this study, a flexible sensor system was designed to promote the security performance of a collaborative [...] Read more.
In current industrial production, robots have increasingly been taking the place of manual workers. With the improvements in production efficiency, accidents that involve operators occur frequently. In this study, a flexible sensor system was designed to promote the security performance of a collaborative robot. The flexible sensors, which was made by adsorbing graphene into a sponge, could accurately convert the pressure on a contact surface into a numerical signal. Ecoflex was selected as the substrate material for our sensing array so as to enable the sensors to better adapt to the sensing application scenario of the robot arm. A 3D printing mold was used to prepare the flexible substrate of the sensors, which made the positioning of each part within the sensors more accurate and ensured the unity of the sensing array. The sensing unit showed a correspondence between the input force and the output resistance that was in the range of 0–5 N. Our stability and reproducibility experiments indicated that the sensors had a good stability. In addition, a tactile acquisition system was designed to sample the tactile data from the sensor array. Our interaction experiment results showed that the proposed electronic skin could provide an efficient approach for secure human–robot interaction. Full article
(This article belongs to the Special Issue Intelligent Biosensors and Biochips)
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10 pages, 2839 KiB  
Article
Electrical Impedance Tomography Based on Grey Wolf Optimized Radial Basis Function Neural Network
by Guanghua Wang, Di Feng and Wenlai Tang
Micromachines 2022, 13(7), 1120; https://doi.org/10.3390/mi13071120 - 15 Jul 2022
Cited by 4 | Viewed by 1360
Abstract
Electrical impedance tomography (EIT) is a non-invasive, radiation-free imaging technique with a lot of promise in clinical monitoring. However, since EIT image reconstruction is a non-linear, pathological, and ill-posed issue, the quality of the reconstructed images needs constant improvement. To increase image reconstruction [...] Read more.
Electrical impedance tomography (EIT) is a non-invasive, radiation-free imaging technique with a lot of promise in clinical monitoring. However, since EIT image reconstruction is a non-linear, pathological, and ill-posed issue, the quality of the reconstructed images needs constant improvement. To increase image reconstruction accuracy, a grey wolf optimized radial basis function neural network (GWO-RBFNN) is proposed in this paper. The grey wolf algorithm is used to optimize the weights in the radial base neural network, determine the mapping between the weights and the initial position of the grey wolf, and calculate the optimal position of the grey wolf to find the optimal solution for the weights, thus improving the image resolution of EIT imaging. COMSOL and MATLAB were used to numerically simulate the EIT system with 16 electrodes, producing 1700 simulation samples. The standard Landweber, RBFNN, and GWO-RBFNN approaches were used to train the sets separately. The obtained image correlation coefficient (ICC) of the test set after training with GWO-RBFNN is 0.9551. After adding 30, 40, and 50 dB of Gaussian white noise to the test set, the attained ICCs with GWO-RBFNN are 0.8966, 0.9197, and 0.9319, respectively. The findings reveal that the proposed GWO-RBFNN approach outperforms the existing methods when it comes to image reconstruction. Full article
(This article belongs to the Special Issue Intelligent Biosensors and Biochips)
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Review

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19 pages, 3004 KiB  
Review
Fabrication and Manipulation of Non-Spherical Particles in Microfluidic Channels: A Review
by Di Jiang, Shaowei Liu and Wenlai Tang
Micromachines 2022, 13(10), 1659; https://doi.org/10.3390/mi13101659 - 02 Oct 2022
Cited by 9 | Viewed by 2254
Abstract
Non-spherical shape is a general appearance feature for bioparticles. Therefore, a mechanical mechanism study of non-spherical particle migration in a microfluidic chip is essential for more precise isolation of target particles. With the manipulation of non-spherical particles, refined disease detection or medical intervention [...] Read more.
Non-spherical shape is a general appearance feature for bioparticles. Therefore, a mechanical mechanism study of non-spherical particle migration in a microfluidic chip is essential for more precise isolation of target particles. With the manipulation of non-spherical particles, refined disease detection or medical intervention for human beings will be achievable in the future. In this review, fabrication and manipulation of non-spherical particles are discussed. Firstly, various fabrication methods for non-spherical microparticle are introduced. Then, the active and passive manipulation techniques for non-spherical particles are briefly reviewed, including straight inertial microchannels, secondary flow inertial microchannels and deterministic lateral displacement microchannels with extremely high resolution. Finally, applications of viscoelastic flow are presented which obviously increase the precision of non-spherical particle separation. Although various techniques have been employed to improve the performance of non-spherical particle manipulation, the universal mechanism behind this has not been fully discussed. The aim of this review is to provide a reference for non-spherical particle manipulation study researchers in every detail and inspire thoughts for non-spherical particle focused device design. Full article
(This article belongs to the Special Issue Intelligent Biosensors and Biochips)
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