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Biosensors
Special Issues
Integrated Microfluidic Biosensing Systems: Designs and Applications
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Integrated Microfluidic Biosensing Systems: Designs and Applications

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Nano- and Micro-Technologies in Biosensors".

Deadline for manuscript submissions: 25 November 2026 | Viewed by 1249

Special Issue Editors

Dr. Sagnik Basuray

E-Mail Website
Guest Editor
Chemical and Materials Engineering Department, New Jersey Institue of Technology, Newark, NJ 07029, USA
Interests: biosensors; microfluidics; nanotechnology; plasmonics; photonics; electro-kinetics
Special Issues, Collections and Topics in MDPI journals
Dr. Sushma Yadav

E-Mail Website
Guest Editor
Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA
Interests: nanoscience; sensors; electrochemistry; green chemistry; environmental remediation

Special Issue Information

Dear Colleagues,

This Special Issue, entitled ‘Integrated Microfluidic Biosensing Systems: Designs and Applications,’ highlights a rapidly advancing interdisciplinary field that merges microfluidics with next-generation biosensing technologies. The scope of this Special Issue includes, but is not limited to, the design, fabrication, and integration of microfluidic platforms with diverse biosensing modalities, including optical sensors, electrochemical biosensors, immunosensors, nucleic acid sensors, and cell-based sensing systems. Special attention is given to fully integrated lab-on-chip and point-of-care devices capable of automated sample processing, real-time detection, and multianalyte measurement.

This Special Issue also encourages contributions on environmental biosensing (e.g., detection of contaminants, toxins, and pathogens), clinical diagnostics (biomarkers and infectious diseases), and bioanalytical applications in chemical, pharmaceutical, and industrial settings. Submissions addressing novel microfabrication techniques, advanced transduction mechanisms, portable field-deployable devices, and AI-assisted data processing are also welcome.

Dr. Sagnik Basuray
Dr. Sushma Yadav
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 250 words) can be sent to the Editorial Office for assessment.

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. Biosensors 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 2200 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
  • microfabrication
  • point of care
  • biosensors
  • lab-on-a-chip
  • environmental monitoring

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

Published Papers (2 papers)

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Research

21 pages, 4012 KB  
Article
Full Hematocrit–Viscosity Curve Identification Using Three-Dataset Krieger–Dougherty Regression
by Yang Jun Kang
Biosensors 2026, 16(4), 216; https://doi.org/10.3390/bios16040216 - 10 Apr 2026
Viewed by 362
Abstract
Blood viscosity is strongly dependent on hematocrit, and the hematocrit–viscosity relationship is an important determinant of blood rheology under physiological and pathological conditions. However, obtaining a full hematocrit–viscosity curve requires multiple measurements over a wide hematocrit range. In this study, a simple method [...] Read more.
Blood viscosity is strongly dependent on hematocrit, and the hematocrit–viscosity relationship is an important determinant of blood rheology under physiological and pathological conditions. However, obtaining a full hematocrit–viscosity curve requires multiple measurements over a wide hematocrit range. In this study, a simple method is proposed to reconstruct the full hematocrit–viscosity curve using only three-dataset Krieger–Dougherty (K–D) regression as μ=μ0(1−ϕϕm)−α ϕm. Based on suspended blood, RBC-rich blood and RBC-depleted blood are prepared after centrifugation. The hematocrit of each type of blood is measured using a micro-hemocytometer. Simultaneously, the blood viscosity of each type of blood is measured using the coflowing streams method. The proposed method is evaluated sequentially using reference datasets and hematocrit–viscosity datasets of control blood. According to results, the full hematocrit–viscosity curve obtained from three selected datasets is in good agreement with the experimental data and yields a lower root-mean-square error than conventional methods using all datasets. The exponent of the K–D model is strongly influenced by the midpoint dataset, whereas μ0 is mainly affected by the suspending medium (dextran solution). In contrast, GA-induced rigidified RBCs do not significantly affect μ0 within a 0.15% concentration. In conclusion, the proposed method provides a simple, efficient, and reliable approach for estimating the full hematocrit–viscosity curve. Full article
(This article belongs to the Special Issue Integrated Microfluidic Biosensing Systems: Designs and Applications)
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16 pages, 1696 KB  
Article
Rapid Finger-Pump Microfluidic Paper-Based Assay Platform for Monitoring Calcium Ions in Human Biofluids
by Kuan-Hsun Huang, Chin-Chung Tseng, Chia-Chun Lee, Cheng-Xue Yu and Lung-Ming Fu
Biosensors 2026, 16(4), 183; https://doi.org/10.3390/bios16040183 - 24 Mar 2026
Viewed by 536
Abstract
Chronic kidney disease (CKD) is a progressively worsening condition that erodes renal function over time, reduces quality of life, and can ultimately culminate in kidney failure with far-reaching systemic complications. In addition to reduced filtration, worsening kidney function disrupts mineral homeostasis and leads [...] Read more.
Chronic kidney disease (CKD) is a progressively worsening condition that erodes renal function over time, reduces quality of life, and can ultimately culminate in kidney failure with far-reaching systemic complications. In addition to reduced filtration, worsening kidney function disrupts mineral homeostasis and leads to CKD–mineral and bone disorder (CKD-MBD). Dysregulated calcium handling and maladaptive endocrine responses contribute to bone pathology and increase cardiovascular calcification risk; therefore, serial calcium monitoring remains clinically relevant for longitudinal CKD management. Conventional calcium measurements are typically obtained with centralized analyzers or laboratory assays (e.g., colorimetry and electrode/optical readouts). Despite high accuracy, the required instrumentation, controlled operating conditions, and pretreatment steps complicate rapid point-of-care deployment, especially when only microliter-scale biofluids are available. Accordingly, this study develops a finger-actuated microfluidic colorimetric platform capable of determining calcium ion concentrations in human biofluids, such as whole blood, serum, and urine. The platform integrates a three-dimensional PMMA/paper microchip with a compact reader that maintains stable temperature control while enabling CMOS-based optical detection. With just 6 μL of sample, a brief finger press propels the biofluid across an internal filtration layer, generating serum or cleaned urine that subsequently reacts with a pre-deposited murexide reagent. Under optimized conditions (1.6% reagent, 50 °C, 3 min), the signal follows a strong logarithmic relationship with calcium concentration (Y = 47.273 ln X + 28.890; R2 = 0.9905), supporting quantification over 1–40 mg/dL and a detection limit of 0.2 mg/dL. Across 80 clinical CKD specimens spanning serum, whole blood, and urine, results aligned closely with the NM-BAPTA reference assay, with R2 values exceeding 0.97. Full article
(This article belongs to the Special Issue Integrated Microfluidic Biosensing Systems: Designs and Applications)
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