Advancements of Chemical and Biosensors in China—2nd Edition

A special issue of Chemosensors (ISSN 2227-9040).

Deadline for manuscript submissions: 30 June 2025 | Viewed by 1716

Special Issue Editors


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Guest Editor
Biosensor National Special Laboratory, Department of Biomedical Engineering, Yuquan Campus, Zhouyiqing Building, Zhejiang University, Hangzhou 310027, China
Interests: biosensors and bioelectronics; electronic nose and electronic tongue; cell-based biosensors (cbbs) and organoid chips; bio-mems and bio-nems; biomimetic sensors
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Guest Editor
1. ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311200, China
2. Department of Chemistry, Zhejiang University, Hangzhou 310058, China
Interests: droplet-based microfluidic analysis; microfluidic mass spectrometry, capillary electrophoresis and liquid chromatographic analysis; miniaturization of analytical instruments; application of microfluidic techniques and systems in single-cell analysis; high-throughput screening; biochemical analysis; clinical diagnosis; point-of-care testing

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Guest Editor
Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China
Interests: biosensors; smartphone based biosensors; wearable biosensors; electrochemical sensor; optical biosensors; self-powered sensors; healthcare monitoring

Special Issue Information

Dear Colleagues,

Chemosensors are a device that transforms chemical information, ranging from the concentration of a specific sample component to total composition analysis, into an analytically useful signal. The development of efficient chemosensors and biosensors is highly important in various aspects of biomedical science and analytical and environmental science. This Special Issue will provide an overview of the frontiers and progress of chemosensors and biosensors in China.

Topics include but are not limited to the following:

  • Electrochemical sensors;
  • Optical chemical sensors;
  • Mass-sensitive sensors;
  • Field-effect transistor sensors;
  • Catalytic sensors;
  • Acoustic and thermal sensors;
  • Sensor array;
  • Innovative materials and their sensing application;
  • Other sensors.

Prof. Dr. Ping Wang
Prof. Dr. Qun Fang
Prof. Dr. Qingjun Liu
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. Chemosensors 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

  • electrochemical sensors
  • optical chemical sensors
  • mass-sensitive sensors
  • field-effect transistor sensors
  • catalytic sensors
  • acoustic and thermal sensors
  • sensor array
  • innovative materials and their sensing application
  • other sensors

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Published Papers (2 papers)

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Research

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14 pages, 2120 KiB  
Article
Flexible Polymer-Based Electrodes for Detecting Depression-Related Theta Oscillations in the Medial Prefrontal Cortex
by Rui Sun, Shunuo Shang, Qunchen Yuan, Ping Wang and Liujing Zhuang
Chemosensors 2024, 12(12), 258; https://doi.org/10.3390/chemosensors12120258 - 10 Dec 2024
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Abstract
This study investigates neural activity changes in the medial prefrontal cortex (mPFC) of a lipopolysaccharide (LPS)-induced acute depression mouse model using flexible polymer multichannel electrodes, local field potential (LFP) analysis, and a convolutional neural network-long short-term memory (CNN-LSTM) classification model. LPS treatment effectively [...] Read more.
This study investigates neural activity changes in the medial prefrontal cortex (mPFC) of a lipopolysaccharide (LPS)-induced acute depression mouse model using flexible polymer multichannel electrodes, local field potential (LFP) analysis, and a convolutional neural network-long short-term memory (CNN-LSTM) classification model. LPS treatment effectively induced depressive-like behaviors, including increased immobility in the tail suspension and forced swim tests, as well as reduced sucrose preference. These behavioral outcomes validate the LPS-induced depressive phenotype, providing a foundation for neurophysiological analysis. Flexible polymer-based electrodes enabled the long-term recording of high-quality LFP and spike signals from the mPFC. Time-frequency and power spectral density (PSD) analyses revealed a significant increase in theta band (3–8 Hz) amplitude under depressive conditions. Using theta waveform features extracted via empirical mode decomposition (EMD), we classified depressive states with a CNN-LSTM model, achieving high accuracy in both training and validation sets. This study presents a novel approach for depression state recognition using flexible polymer electrodes, EMD, and CNN-LSTM modeling, suggesting that heightened theta oscillations in the mPFC may serve as a neural marker for depression. Future studies may explore theta coupling across brain regions to further elucidate neural network disruptions associated with depression. Full article
(This article belongs to the Special Issue Advancements of Chemical and Biosensors in China—2nd Edition)
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Review

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20 pages, 2452 KiB  
Review
Functional Organic Electrochemical Transistor-Based Biosensors for Biomedical Applications
by Zhiyao Wang, Minggao Liu, Yundi Zhao, Yating Chen, Beenish Noureen, Liping Du and Chunsheng Wu
Chemosensors 2024, 12(11), 236; https://doi.org/10.3390/chemosensors12110236 - 13 Nov 2024
Viewed by 972
Abstract
Organic electrochemical transistors (OECTs), as an emerging device for the development of novel biosensors, have attracted more and more attention in recent years, demonstrating their promising prospects and commercial potential. Functional OECTs have been widely applied in the field of biosensors due to [...] Read more.
Organic electrochemical transistors (OECTs), as an emerging device for the development of novel biosensors, have attracted more and more attention in recent years, demonstrating their promising prospects and commercial potential. Functional OECTs have been widely applied in the field of biosensors due to their decisive advantages, such as high transconductance, easy functionalization, and high integration capability. Therefore, this review aims to provide a comprehensive summary of the most recent advances in the application of functional OECT-based biosensors in biomedicine, especially focusing on those biosensors for the detection of physiological and biochemical parameters that are critical for the health of human beings. First, the main components and basic working principles of OECTs will be briefly introduced. In the following, the strategies and key technologies for the preparation of functional OECT-based biosensors will be outlined and discussed with regard to the applications of the detection of various targets, including metabolites, ions, neurotransmitters, electrophysiological parameters, and immunological molecules. Finally, the current main issues and future development trends of functional OECT-based biosensors will be proposed and discussed. The breakthrough in functional OECT-based biosensors is believed to enable such devices to achieve higher performance, and thus, this technology could provide new insight into the future field of medical and life sciences. Full article
(This article belongs to the Special Issue Advancements of Chemical and Biosensors in China—2nd Edition)
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