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Advances in Biosensing and BioMEMS for Biomedical Engineering

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

Deadline for manuscript submissions: 30 June 2026 | Viewed by 2086

Special Issue Editor


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Guest Editor
Department of Engineering and Aviation Sciences, University of Maryland Eastern Shore, Princess Anne, MD 21853, USA
Interests: bioMEMS; microfluidics; biosensors

Special Issue Information

Dear Colleagues,

This Special Issue aims to highlight recent advances at the interface of micro-nanotechnology, material science, engineering technologies, and life sciences. Our objective is to bring together innovative research on biosensing platforms and microelectromechanical systems designed to improve diagnostics, therapeutics, and health monitoring in laboratory and clinical settings. The collection emphasizes novel fabrication techniques, integration strategies, and applications that are transforming biomedical engineering. In addition to original research, we encourage papers offering perspectives and outlooks that chart future directions for the field, with the goal of fostering new insights and advancing next-generation healthcare technologies.

Dr. Yuhao Qiang
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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Keywords

  • biosensors
  • BioMEMS
  • point-of-care devices
  • biomedical engineering
  • lab-on-a-chip
  • personalized medicine
  • diagnostics

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Published Papers (3 papers)

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Research

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20 pages, 2671 KB  
Article
Development of an Improved QCM-D Instrumentation for Affinity Sensing by Bioinspired Molecular-Imprinted Polymers (MIP) for IgG Detection in Serum
by Doretta Cuffaro, Lucia Bonasera, Elisa Nuti, Riccardo Galletti, Manuela Adami, Marco Sartore and Maria Minunni
Sensors 2026, 26(10), 2985; https://doi.org/10.3390/s26102985 - 9 May 2026
Viewed by 244
Abstract
Quartz crystal microbalance (QCM) technology provides a powerful, label-free platform for monitoring molecular interactions in real time with nanogram sensitivity. Recent advances in compact instrumentation have enhanced analytical performance while reducing energy consumption, aligning with the principles of Green Analytical Chemistry. In parallel, [...] Read more.
Quartz crystal microbalance (QCM) technology provides a powerful, label-free platform for monitoring molecular interactions in real time with nanogram sensitivity. Recent advances in compact instrumentation have enhanced analytical performance while reducing energy consumption, aligning with the principles of Green Analytical Chemistry. In parallel, the European Union has recommended the replacement of animal-derived antibodies with non-animal alternatives, creating an urgent need for sustainable affinity receptors. In this study, we present an innovative application of polynorepinephrine (PNE)-based molecularly imprinted polymers (MIPs) with a compact QCM sensing. PNE, a bioinspired polymer formed under mild aqueous conditions, offers strong adhesive properties and biocompatibility, enabling robust immobilization of imprinted receptors on gold-coated quartz disks. The resulting PNE-MIP/QCM platform combines the ultrasensitivity of quartz microbalances with the selectivity of molecular imprinting, delivering a reproducible and environmentally responsible affinity sensor. The sensor showed a limit of detection of 11.2 nM and enabled accurate IgG quantification in diluted human serum samples. As a proof of concept, the system was applied to Human Immunoglobulin G (IgG1) detection, demonstrating its potential for sustainable clinical diagnostics. Full article
(This article belongs to the Special Issue Advances in Biosensing and BioMEMS for Biomedical Engineering)
13 pages, 4205 KB  
Article
Development and First-in-Human Translation of Hyperpolarized [1-13C]Alpha-Ketoglutarate MR Spectroscopy in the Brain
by Yaewon Kim, Duy Dang, James Slater, Andrew Riselli, Donghyun Hong, Jeremy W. Gordon, Susan M. Chang, Yan Li, Javier E. Villanueva-Meyer, Adam W. Autry, Evelyn Escobar, Stacy Andosca, Hsin-Yu Chen, Chou T. Tan, Chris Suszczynski, Sri Maddali, Robert A. Bok and Daniel B. Vigneron
Sensors 2026, 26(9), 2753; https://doi.org/10.3390/s26092753 - 29 Apr 2026
Viewed by 367
Abstract
Alpha-ketoglutarate (aKG) is a central intermediate of cerebral energy metabolism and a precursor for glutamate synthesis in the brain. Alterations in aKG metabolism occur in pathological contexts, including isocitrate dehydrogenase (IDH) mutant astrocytomas and oligodendrogliomas, in which mutant IDH converts aKG to the [...] Read more.
Alpha-ketoglutarate (aKG) is a central intermediate of cerebral energy metabolism and a precursor for glutamate synthesis in the brain. Alterations in aKG metabolism occur in pathological contexts, including isocitrate dehydrogenase (IDH) mutant astrocytomas and oligodendrogliomas, in which mutant IDH converts aKG to the oncometabolite 2-hydroxyglutarate. Given its central role in brain metabolism, non-invasive interrogation of aKG-dependent metabolic flux is needed. Hyperpolarized (HP) 13C MR enables real-time visualization of metabolic conversion by transiently enhancing signal intensity by several orders of magnitude. Leveraging this approach, we report the first-in-human feasibility and safety study of HP [1-13C]aKG MR spectroscopy in the healthy brain (n = 3). A standard operating procedure (SOP) was developed for sterile [1-13C]aKG dose production, achieving reproducible polarization levels averaging 30.5 ± 2.2%. Following intravenous administration, time-resolved 13C spectra in healthy volunteers demonstrated the detection of HP aKG resonance and a measurable downstream glutamate signal, consistent across repeat acquisitions, with a delayed temporal profile relative to aKG observed in a representative dataset. Although performed in healthy volunteers, these results establish feasibility for HP [1-13C]aKG metabolic imaging to open a new window into normal and pathological brain cellular metabolism. Full article
(This article belongs to the Special Issue Advances in Biosensing and BioMEMS for Biomedical Engineering)
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Review

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17 pages, 1845 KB  
Review
Cell-Based Immuno-Biosensors Using Microfluidics
by Briggs Pugner, Erik Petersson, Seedahmed Ahmed, Maha Mustafa, Justin Okoh and Yuhao Qiang
Sensors 2026, 26(6), 1970; https://doi.org/10.3390/s26061970 - 21 Mar 2026
Viewed by 900
Abstract
Cell-based immuno-biosensors are novel platforms for studying immune responses of biological cells, with real-time insights more similar to physiological and pathological conditions. These systems utilize living immune cells as their main components, enabling them to detect disease-related biomarkers and cellular traits in a [...] Read more.
Cell-based immuno-biosensors are novel platforms for studying immune responses of biological cells, with real-time insights more similar to physiological and pathological conditions. These systems utilize living immune cells as their main components, enabling them to detect disease-related biomarkers and cellular traits in a way that is often highly sensitive and label-free. Integration with microfluidics and organ-on-chip technologies has facilitated precise manipulational control over the cellular microenvironment. Not only has this resulted in high-throughput screening, but it also enabled smaller, more portable systems which can be used at the point of care. In this work, we review the recent advance in microfluidic cell-based immuno-biosensing associated with immune cells such as neutrophils, macrophages, T cell and dendrite cells. Some of the exciting developments include fusion with methods such as advanced imaging, electrical impedance sensing and application of machine learning to phenotyping. We will also elaborate on the issues related to the standardization of these systems, cell heterogeneity, and the challenges for translating these technologies for clinical application. Taken together, such integrated platforms have potential to fill the gap left in-between cellular immunology with biosensor engineering. Full article
(This article belongs to the Special Issue Advances in Biosensing and BioMEMS for Biomedical Engineering)
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