Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.6
4.9
Journals
Biosensors
Special Issues
Innovative Biosensing Technologies for Sustainable Healthcare
share announcement

Innovative Biosensing Technologies for Sustainable Healthcare

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensor Materials".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 7621

Special Issue Editors

Prof. Dr. Hua Li

E-Mail Website
Guest Editor
School of Mechanical & Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore
Interests: modeling of smart hydrogels for bioMMS applications
Special Issues, Collections and Topics in MDPI journals
Dr. Shoujing Zheng

E-Mail Website
Guest Editor
School of Information Mechanics and Perception Engineering, Xidian University, Xi’an 710126, China
Interests: fracture; soft matter; hydrogel; smart hydrogel in bioMEMS and biological cell in microscale fields

Special Issue Information

Dear Colleagues,

This Special Issue is dedicated to exploring advanced biosensing technologies designed specifically for monitoring and managing chronic diseases within sustainable healthcare frameworks. It seeks to highlight the latest research and development in biosensors that are tailor made for long-term disease management, from conceptualization and modeling to experimental validation and real-world applications. We focus particularly on novel materials and innovative device designs that offer new insights into patient health and disease progression, contributing to improved patient outcomes and reduced environmental impact. Contributions that demonstrate theoretical analyses and laboratory and field studies, and especially those that show potential for practical feasibility and commercialization in chronic disease contexts, are highly encouraged.

Prof. Dr. Hua Li
Dr. Shoujing Zheng
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. 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

  • sustainability
  • healthcare
  • biosensor
  • bioactuator
  • biorobot
  • rehabilitation
  • smart biomaterials
  • healthcare device/system
  • green biomaterials
  • smart biotechnology

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

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

Published Papers (6 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

Jump to: Review

16 pages, 1263 KiB  
Article
Smart Prussian Blue Analog Decorated with Zinc Oxide Nanohybrid: Fluorescent Sensing and Sustainability of Sunset Yellow in Food and Environment
by Hany A. Batakoushy, Amr K. A. Bass, Hassanien Gomaa, Sami El Deeb and Adel Ehab Ibrahim
Biosensors 2025, 15(4), 263; https://doi.org/10.3390/bios15040263 - 20 Apr 2025
Viewed by 106
Abstract
In the current study, the Prussian blue analog decorated with zinc oxide (PBA@ZnO) was produced using a simple chemical co-precipitation method. The nanohybrid was examined using XRD, EDX, SEM, and TEM techniques, where it exhibited a polycrystalline structure with highly intense broadening peaks. [...] Read more.
In the current study, the Prussian blue analog decorated with zinc oxide (PBA@ZnO) was produced using a simple chemical co-precipitation method. The nanohybrid was examined using XRD, EDX, SEM, and TEM techniques, where it exhibited a polycrystalline structure with highly intense broadening peaks. The surface morphology was observed as thin nanosheets decorated with tiny spheres. Following excitation at 360 nm, the fluorescence spectra of PBA@ZnO showed fluorescence emission at 455 nm. The developed PBA@ZnO was used to qualitatively and quantitatively assess sunset yellow (SY), where its native fluorescence was selectively quenched as SY concentrations increased. For the first time, PBA@ZnO was used as a turn-off nano-sensor for the spectrofluorimetric measurement of SY. The method’s markable sensitivity was demonstrated within an SY linearity range of 50–500 ng/mL, where the limit of detection was calculated as 9.77 ng/mL. Real sample analysis in the food industry, including samples from real food, soft drinks, and sun cream, was made possible by the detection of tiny amounts of SY. Analytical Greenness (AGREE), AGREEprep, and the complementing Green Analytical Procedure Index (Complex MoGAPI) were used to illustrate the new approach’s exceptional eco-friendliness and greenness. The RGB 12 algorithm worked to demonstrate that the suggested approach is less costly, more environmentally friendly, more sustainable, analytically sound, and whiter than the ones that were previously published. In accordance with ICH principles, the suggested method was validated. This approach offers a promising way to rapidly and accurately identify and measure SY in the food industry, helping to guarantee food safety and maintain the health of customers. Full article
(This article belongs to the Special Issue Innovative Biosensing Technologies for Sustainable Healthcare)
►▼ Show Figures

Figure 1

17 pages, 5360 KiB  
Article
A Portable Smartphone-Based 3D-Printed Biosensing Platform for Kidney Function Biomarker Quantification
by Sangeeta Palekar, Sharayu Kalambe, Jayu Kalambe, Madhusudan B. Kulkarni and Manish Bhaiyya
Biosensors 2025, 15(3), 192; https://doi.org/10.3390/bios15030192 - 18 Mar 2025
Viewed by 406
Abstract
Detecting kidney function biomarkers is critical for the early diagnosis of kidney diseases and monitoring treatment efficacy. In this work, a portable, 3D-printed colorimetric sensor platform was developed to detect key kidney biomarkers: uric acid, creatinine, and albumin. The platform features a 3D-printed [...] Read more.
Detecting kidney function biomarkers is critical for the early diagnosis of kidney diseases and monitoring treatment efficacy. In this work, a portable, 3D-printed colorimetric sensor platform was developed to detect key kidney biomarkers: uric acid, creatinine, and albumin. The platform features a 3D-printed enclosure with integrated diffused LED lighting to ensure a controlled environment for image acquisition. A disposable 3D-printed flow cell holds samples, ensuring precision and minimizing contamination. The sensor relies on colorimetric analysis, where a reagent reacts with blood serum to produce a color shift proportional to the biomarker concentration. Using a smartphone, the color change is captured, and RGB values are normalized to calculate concentrations based on the Beer-Lambert Law. The system adapts to variations in smartphones, reagent brands, and lighting conditions through an adaptive calibration algorithm, ensuring flexibility and accuracy. The sensor demonstrated good linear detection ranges for uric acid (1–30 mg/dL), creatinine (0.1–20 mg/dL), and albumin (0.1–8 g/dL), with detection limits of 1.15 mg/dL, 0.15 mg/dL, and 0.11 g/dL, respectively. These results correlated well with commercial biochemistry analyzers. Additionally, an Android application was developed to handle image processing and database management, providing a user-friendly interface for real-time blood analysis. This portable, cost-effective platform shows significant potential for point-of-care diagnostics and remote health monitoring. Full article
(This article belongs to the Special Issue Innovative Biosensing Technologies for Sustainable Healthcare)
►▼ Show Figures

Figure 1

15 pages, 4618 KiB  
Article
2D Flower-like CdS@Co/Mo-MOF as Co-Reaction Accelerator of g-C3N4-Based Electrochemiluminescence Sensor for Chlorpromazine Hydrochloride
by Xiaowei Fan, Guping Zhang, Xiaodi Li, Yao Wang, Yi Wang, Shilei Hao and Defang Liu
Biosensors 2024, 14(12), 586; https://doi.org/10.3390/bios14120586 - 2 Dec 2024
Cited by 1 | Viewed by 1035
Abstract
In this study, we have proposed an electrochemiluminescence (ECL) signal amplification system which is based on two-dimensional (2D) flower-like CdS@Co/Mo-MOF composites as a co-reaction accelerator of the g-C3N4/S2O82− system for ultrasensitive detection of chlorpromazine hydrochloride [...] Read more.
In this study, we have proposed an electrochemiluminescence (ECL) signal amplification system which is based on two-dimensional (2D) flower-like CdS@Co/Mo-MOF composites as a co-reaction accelerator of the g-C3N4/S2O82− system for ultrasensitive detection of chlorpromazine hydrochloride (CPH). Specifically, the 2D flower-like Co/Mo-MOF with mesoporous alleviated the aggregation of CdS NPs while simultaneously fostering reactant-active site contact and improving the reactant–product transport rate. This allowed the material to act as a novel co-reaction accelerator, speeding up the transformation of the S2O82− into SO4•− and enhancing the cathodic ECL emission of g-C3N4. Moreover, the signal probe which was synthesized by coupling the 2D CdS@Co/Mo-MOF and graphitic carbon nitride (g-C3N4) achieved the generation of SO4•− in situ and reduced energy loss. The results confirmed that the ECL signal was enhanced 6.2-fold and stabilized by CdS@Co/Mo-MOF. Based on the extremely strong quenching effect of chlorpromazine hydrochloride (CPH) on this system, a “signal-off” type sensor was constructed. The sensor demonstrated excellent sensitivity and linear response to CPH concentrations ranging from 1 pmol L−1 to 100 μmol L−1, with a low detection limit of 0.4 pmol L−1 (S/N = 3). Full article
(This article belongs to the Special Issue Innovative Biosensing Technologies for Sustainable Healthcare)
►▼ Show Figures

Graphical abstract

Review

Jump to: Research

37 pages, 3150 KiB  
Review
Modern Emerging Biosensing Methodologies for the Early Diagnosis and Screening of Ovarian Cancer
by Farah Abul Rub, Naseel Moursy, Nouf Alhedeithy, Juraij Mohamed, Zainab Ifthikar, Muhammad Affan Elahi, Tanveer Ahmed Mir, Mati Ur Rehman, Saima Tariq, Mubark Alabudahash, Raja Chinnappan and Ahmed Yaqinuddin
Biosensors 2025, 15(4), 203; https://doi.org/10.3390/bios15040203 - 21 Mar 2025
Viewed by 630
Abstract
Ovarian cancer (OC) is one of the leading causes of gynecological cancer-related death worldwide. Late diagnosis at advanced stages of OC is the reason for a higher mortality rate. Earlier diagnosis and proper treatment are important for improving the prognosis of OC patients. [...] Read more.
Ovarian cancer (OC) is one of the leading causes of gynecological cancer-related death worldwide. Late diagnosis at advanced stages of OC is the reason for a higher mortality rate. Earlier diagnosis and proper treatment are important for improving the prognosis of OC patients. Biosensors offer accurate, low-cost, rapid, and user-friendly devices that can be employed for the detection of OC-specific biomarkers in the early stage. Therefore, it is important to consider the potential biomarkers in the biological fluids to confirm the OC prognosis. Out of many biomarkers, the most commonly tested clinically is cancer antigen 125 (CA-125). However, CA-125 is considered to be a poor biomarker for OC diagnosis. Several biosensing methods were developed for the sensitive and quantitative detection of each biomarker. In abnormal expression in OC patients, nucleic acids, enzymes, cells, and exosomes are used as target biomarkers for the construction of biosensors. This review focuses on the development for the detection of various biomarkers using multiple biosensing methods. Here, we describe the origin and the significance of OC-associated biomarkers, the working principle of biosensors, and the classification of biosensors based on their recognition elements and signal transducers. The modes of detection and sensitivity of the sensors are discussed. Finally, the challenges in the fabrication, obstacles in the clinical application, and future prospects are discussed. Full article
(This article belongs to the Special Issue Innovative Biosensing Technologies for Sustainable Healthcare)
►▼ Show Figures

Figure 1

55 pages, 6871 KiB  
Review
Recent Progress in Biosensors for Depression Monitoring—Advancing Personalized Treatment
by Jiaju Yin, Xinyuan Jia, Haorong Li, Bingchen Zhao, Yi Yang and Tian-Ling Ren
Biosensors 2024, 14(9), 422; https://doi.org/10.3390/bios14090422 - 30 Aug 2024
Cited by 1 | Viewed by 3188
Abstract
Depression is currently a major contributor to unnatural deaths and the healthcare burden globally, and a patient’s battle with depression is often a long one. Because the causes, symptoms, and effects of medications are complex and highly individualized, early identification and personalized treatment [...] Read more.
Depression is currently a major contributor to unnatural deaths and the healthcare burden globally, and a patient’s battle with depression is often a long one. Because the causes, symptoms, and effects of medications are complex and highly individualized, early identification and personalized treatment of depression are key to improving treatment outcomes. The development of wearable electronics, machine learning, and other technologies in recent years has provided more possibilities for the realization of this goal. Conducting regular monitoring through biosensing technology allows for a more comprehensive and objective analysis than previous self-evaluations. This includes identifying depressive episodes, distinguishing somatization symptoms, analyzing etiology, and evaluating the effectiveness of treatment programs. This review summarizes recent research on biosensing technologies for depression. Special attention is given to technologies that can be portable or wearable, with the potential to enable patient use outside of the hospital, for long periods. Full article
(This article belongs to the Special Issue Innovative Biosensing Technologies for Sustainable Healthcare)
►▼ Show Figures

Figure 1

22 pages, 3860 KiB  
Review
Recent Developments in Personal Glucose Meters as Point-of-Care Testing Devices (2020–2024)
by Dan-Ni Yang, Shan Geng, Rong Jing and Hao Zhang
Biosensors 2024, 14(9), 419; https://doi.org/10.3390/bios14090419 - 27 Aug 2024
Cited by 1 | Viewed by 1914
Abstract
Point-of-care testing (POCT) is a contemporary diagnostic approach characterized by its user-friendly nature, cost efficiency, environmental compatibility, and lack of reliance on professional experts. Therefore, it is widely used in clinical diagnosis and other analytical testing fields to meet the demand for rapid [...] Read more.
Point-of-care testing (POCT) is a contemporary diagnostic approach characterized by its user-friendly nature, cost efficiency, environmental compatibility, and lack of reliance on professional experts. Therefore, it is widely used in clinical diagnosis and other analytical testing fields to meet the demand for rapid and convenient testing. The application of POCT technology not only improves testing efficiency, but also brings convenience and benefits to the healthcare industry. The personal glucose meter (PGM) is a highly successful commercial POCT tool that has been widely used not only for glucose analysis, but also for non-glucose target detection. In this review, the recent advances from 2020 to 2024 in non-glucose target analysis for PGMs as POCT devices are summarized. The signal transduction strategies for non-glucose target analysis based on PGMs, including enzymatic transduction, nanocarrier transduction (enzyme or glucose), and glucose consumption transduction are briefly introduced. Meanwhile, the applications of PGMs in non-glucose target analysis are outlined, encompassing biomedical, environmental, and food analysis, along with other diverse applications. Finally, the prospects of and obstacles to employing PGMs as POCT tools for non-glucose target analysis are discussed. Full article
(This article belongs to the Special Issue Innovative Biosensing Technologies for Sustainable Healthcare)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-6
Back to TopTop