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Micromachines
Special Issues
Point-of-Care Testing Based on Biosensors and Biomimetic Sensors
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Point-of-Care Testing Based on Biosensors and Biomimetic Sensors

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B4: Point-of-Care Devices".

Deadline for manuscript submissions: 31 July 2025 | Viewed by 439

Special Issue Editor

Dr. Rosa Fireman Dutra

E-Mail Website
Guest Editor
Biomedical Engineering Departmet, Federal University of Pernambuco, Recife 50670-901, Brazil
Interests: immunosensor; nanomaterial; point-of-care test; biosensors; electroanalysis; electrochemical sensors; optical immunosensors
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue summarizes research findings on the application of biosensors and biomimetic platforms in point-of-care (POC) testing and highlights their potential and challenges in clinical diagnostics. Immune and enzyme sensors have highly specific antigen–antibody or enzyme–substrate interactions that are combined with various signal transduction mechanisms—such as optical, electrochemical, and acoustic transducers—to enable rapid and accurate diagnosis. These (bio)sensors have demonstrated exceptional sensitivity and specificity in detecting biomarkers and pathogens as well as performing rapid screening.

The integration of biomimetic technologies further improves the performance of sensors. Techniques such as molecularly imprinted polymers (MIPs), artificial enzymes (nanoenzymes), and aptamers offer improved stability, selectivity, and cost efficiency. These native and biomimetic recognition elements optimize the molecular recognition capabilities of the sensors and enable high precision even with complex samples.

The Special Issue also explores trends in combining biosensors and biomimetic approaches and shows how multiplexing, portability, and ease of use are driving POC technologies to broader clinical applications. Despite these advances, challenges remain in areas such as standardization, production costs, and long-term stability. Future research will focus on optimizing these technologies to make them more accessible and effective for broad clinical application.

Dr. Rosa Fireman Dutra
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 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 2100 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

  • point-of-care testing
  • immunosensors
  • biomimetic techniques
  • molecularly imprinted polymers
  • artificial enzymes
  • aptamers
  • biosensors
  • diagnostics
  • rapid detection
  • multiplexing
  • electrochemical sensors
  • optical sensors
  • nanomaterials

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

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Research

11 pages, 1963 KiB  
Article
Evaluation of Non-Faradaic Impedimetric Parameters for IL-8 Detection Using Gold Interdigitated Electrode-Based Biosensors: Towards Early Detection of Newborn Disability
by Abdulelah S. Alrebaish, Layla O. Alnami, Joud M. Alshraim, Razan A. Alnghemshi, Alanoud A. Aljammaz, Amir Altinawi, Kholood K. Alhuthali, Hend Alfadul and Abdulaziz K. Assaifan
Micromachines 2025, 16(4), 395; https://doi.org/10.3390/mi16040395 - 28 Mar 2025
Viewed by 284
Abstract
Interleukin-8 (IL-8) is a critical biomarker associated with inflammation and disability in both adults and newborns. Conventional detection methods are often labor-intensive, time-consuming, and require highly trained personnel. Non-Faradaic impedimetric biosensors offer a label-free, rapid, and direct approach for IL-8 detection. While previous [...] Read more.
Interleukin-8 (IL-8) is a critical biomarker associated with inflammation and disability in both adults and newborns. Conventional detection methods are often labor-intensive, time-consuming, and require highly trained personnel. Non-Faradaic impedimetric biosensors offer a label-free, rapid, and direct approach for IL-8 detection. While previous studies have primarily focused on capacitance and phase changes, the potential of other impedimetric parameters remains underexplored. In this study, a gold interdigitated electrode (Au-IDE)-based non-Faradaic biosensor was developed for IL-8 detection, evaluating multiple impedimetric parameters, including capacitance, impedance magnitude (Zmod), real impedance (Zreal), and imaginary impedance (Zimag). Among these, Zimag exhibited the lowest limit of detection (LoD) at 90 pg/mL, followed by Zmod at 120 pg/mL, and capacitance at 140 pg/mL, all significantly below the clinical threshold of 600 pg/mL. In contrast, Zreal displayed the highest LoD at 1.3 ng/mL. Sensitivity analysis revealed that Zimag provided the highest sensitivity at 13.1 kΩ/log (ng/mL), making it the most effective parameter for detecting IL-8 at low concentrations. The sensitivity of Zmod and Zreal was lower, while capacitance sensitivity was measured at 20 nF/log (ng/mL). These findings highlight the importance of investigating alternative impedimetric parameters beyond capacitance to optimize biosensor performance for biomarker detection. This study demonstrates that non-Faradaic biosensors, despite their capacitive-based nature, can achieve enhanced sensitivity and detection limits by leveraging additional impedimetric parameters, offering a promising approach for rapid and effective IL-8 detection. Full article
(This article belongs to the Special Issue Point-of-Care Testing Based on Biosensors and Biomimetic Sensors)
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