Microfluidics-Based Point-of-Care Detection of Bio-Analytes for Health Care Applications

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Point-of-Care Diagnostics and Devices".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 2868

Special Issue Editors


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Guest Editor
Centre for Interdisciplinary Research and Innovation (CIDRI), University of Petroleum and Energy Studies, Dehradun 248007, India
Interests: detection of bio-analytes for health care applications; microfluidics; removal of contaminants from water

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Guest Editor
Department of Physics, School of Natural Sciences, Shiv Nadar University, Uttar Pradesh 201314, India
Interests: nanomaterials; sensors; coatings

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Guest Editor
School of Engineering & Innovation, The Open University, Walton Hall, Milton Keynes MK7 6AA, UK
Interests: nanomaterials; water treatment; energy

Special Issue Information

Dear Colleagues,

Microfluidics-based Point-of-Care (POC) detection is a technology used for the quick and efficient detection of bio-analytes, such as viruses, bacteria, and proteins, in health care applications. It utilizes microfluidic devices, which are small and portable, to perform rapid and sensitive assays at the POC. This technology has the potential to revolutionize medical diagnosis and treatment by providing results in real-time, reducing the time to diagnosis and enabling early intervention. This can lead to improved patient outcomes and reduced costs in the healthcare system.

The advantages of microfluidics-based POC detection include reduced sample volumes, lower cost, improved accuracy, and faster results compared to traditional laboratory-based diagnostic techniques. In addition, microfluidic devices can be integrated with sensors and biosensors, enabling multiplexing and the simultaneous detection of multiple analytes. The combination of these features makes microfluidics-based POC detection a promising technology for a wide range of health care applications, including infectious disease screening, cancer diagnosis, and the monitoring of chronic diseases. Despite these advantages, there are still challenges to be overcome, such as the standardization of devices and assays, the integration of results with electronic medical records, and the development of low-cost, user-friendly devices for widespread use.

According to a market research report, the global microfluidics-based POC detection market was valued at USD 3.25 billion in 2020 and is expected to grow at a compound annual growth rate (CAGR) of 9.2% from 2021 to 2028. The growth of this market is driven by factors such as the increasing incidence of chronic diseases, the growing demand for rapid and accurate diagnostic tools, and advancements in microfluidics technology.

Topics of interest include, but not limited to:

  • Development and standardization of microfluidic devices for POC diagnosis;
  • Integration of microfluidics-based POC results with electronic medical records;
  • Advancements in biosensors for multiplexing and the simultaneous detection of multiple analytes;
  • Clinical validation and implementation of microfluidics-based POC diagnostic devices;
  • Cost-effectiveness and user-friendliness of microfluidic POC devices for widespread use;
  • The impact of the COVID-19 pandemic on the growth of the microfluidics-based POC detection market;
  • The potential of microfluidics-based POC detection to monitor chronic diseases and early intervention;
  • Advancements in sample preparation techniques for microfluidics-based POC diagnosis;
  • The integration of artificial intelligence and machine learning in microfluidics-based POC detection.

Dr. Aashish Mathur
Prof. Dr. Susanta Sinha Roy
Prof. Dr. Satheesh Krishnamurthy
Guest Editors

Manuscript Submission Information

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Keywords

  • microfluidics
  • point-of-Care (POC)
  • bio-analytes
  • health care applications
  • diagnosis
  • real-time results
  • portable
  • sensitive assays
  • multiplexing
  • low-cost

Published Papers (2 papers)

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Research

13 pages, 2512 KiB  
Article
Filtered Saliva for Rapid and Accurate Analyte Detection for POC Diagnostics
by Nadia Farsaeivahid, Christian Grenier and Ming L. Wang
Diagnostics 2024, 14(11), 1088; https://doi.org/10.3390/diagnostics14111088 - 24 May 2024
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Abstract
Saliva has shown considerable promise as a diagnostic medium for point-of-care (POC) and over-the-counter (OTC) diagnostic devices due to the non-invasive nature of its collection. However, a significant limitation of saliva-based detection is undesirable interference in a sensor’s readout caused by interfering components [...] Read more.
Saliva has shown considerable promise as a diagnostic medium for point-of-care (POC) and over-the-counter (OTC) diagnostic devices due to the non-invasive nature of its collection. However, a significant limitation of saliva-based detection is undesirable interference in a sensor’s readout caused by interfering components in saliva. In this study, we develop standardized sample treatment procedures to eliminate bubbles and interfering molecules while preserving the sample’s target molecules such as spike (S) protein and glucose. We then test the compatibility of the pretreatment system with our previously designed SARS-CoV-2 and glucose diagnostic biosensing systems for detecting S protein and glucose in subject saliva. Ultimately, the effectiveness of each filter in enhancing biomarker sensitivity is assessed. The results show that a 20 mg nylon wool (NW) filter shows an 80% change in viscosity reduction with only a 6% reduction in protein content, making it an appropriate filter for the salivary S protein diagnostic system. Meanwhile, a 30 mg cotton wool (CW) filter is identified as the optimal choice for salivary glucose detection, achieving a 90% change in viscosity reduction and a 60.7% reduction in protein content with a minimal 4.3% reduction in glucose content. The NW pretreatment filtration significantly improves the limit of detection (LOD) for salivary S protein detection by five times (from 0.5 nM to 0.1 nM) and it reduces the relative standard deviation (RSD) two times compared to unfiltered saliva. Conversely, the CW filter used for salivary glucose detection demonstrated improved linearity with an R2 of 0.99 and a sensitivity of 36.6 μA/mM·cm2, over twice as high as unfiltered saliva. This unique filtration process can be extended to any POC diagnostic system and optimized for any biomarker detection, making electrochemical POC diagnostics more viable in the current market. Full article
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11 pages, 2133 KiB  
Article
An Electroanalytical Flexible Biosensor Based on Reduced Graphene Oxide-DNA Hybrids for the Early Detection of Human Papillomavirus-16
by Reema Rawat, Souradeep Roy, Tapas Goswami and Ashish Mathur
Diagnostics 2022, 12(9), 2087; https://doi.org/10.3390/diagnostics12092087 - 28 Aug 2022
Cited by 6 | Viewed by 2103
Abstract
Human Papilloma Virus 16 (HPV 16) is the well-known causative species responsible for triggering cervical cancer. When left undiagnosed and untreated, this disease leads to life-threatening events among the female populace, especially in developing nations where healthcare resources are already being stretched to [...] Read more.
Human Papilloma Virus 16 (HPV 16) is the well-known causative species responsible for triggering cervical cancer. When left undiagnosed and untreated, this disease leads to life-threatening events among the female populace, especially in developing nations where healthcare resources are already being stretched to their limits. Considering various drawbacks of conventional techniques for diagnosing this highly malignant cancer, it becomes imperative to develop miniaturized biosensing platforms which can aid in early detection of cervical cancer for enhanced patient outcomes. The current study reports on the development of an electrochemical biosensor based on reduced graphene oxide (rGO)/DNA hybrid modified flexible carbon screen-printed electrode (CSPE) for the detection of HPV 16. The carbon-coated SPEs were initially coated with rGO followed by probe DNA (PDNA) immobilization. The nanostructure characterization was performed using UV-Vis spectroscopy, Fourier transform infrared (FTIR) spectroscopy, Raman spectroscopy and X-ray diffraction (XRD) techniques. Cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) were employed to study the electrochemical characterization of the nano-biohybrid sensor surface. The optimization studies and analytical performance were assessed using differential pulse voltammetry (DPV), eventually exhibiting a limit of detection (LoD) ~2 pM. The developed sensor was found to be selective solely to HPV 16 target DNA and exhibited a shelf life of 1 month. The performance of the developed flexible sensor further exhibited a promising response in spiked serum samples, which validates its application in future point-of-care scenarios. Full article
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