Perspective - (2025) Volume 17, Issue 1
Received: 01-Feb-2025, Manuscript No. jbabm-25-168527;
Editor assigned: 03-Feb-2025, Pre QC No. P-168527;
Reviewed: 17-Feb-2025, QC No. Q-168527;
Revised: 22-Feb-2025, Manuscript No. R-168527;
Published:
28-Feb-2025
, DOI: 10.37421/1948-593X.2025.17.477
Citation: Karimi, Reza. “Nanoparticle-Based Biosensors for Real-Time Detection of Infectious Diseases.” J Bioanal Biomed 17 (2025): 477.
Copyright: © 2025 Karimi R. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Nanoparticles used in biosensing platforms can be engineered from a wide range of materials, including gold, silver, silica, carbon, and various metal oxides. Among these, gold Nanoparticles (AuNPs) are the most extensively studied due to their remarkable optical and electronic characteristics, biocompatibility, and ease of surface modification. AuNPs are often functionalized with antibodies, nucleic acids, or peptides that selectively bind to target pathogens or their biomarkers. When the target analyte interacts with the nanoparticle-bound probe, measurable changes occur in the systemâ??s optical or electrochemical properties, allowing for real-time detection. One notable application is the colorimetric assay based on AuNP aggregation, where the presence of a pathogen causes a visible color shift in the solution, providing a rapid, equipment-free diagnostic readout.
Quantum Dots (QDs) and Magnetic Nanoparticles (MNPs) further expand the functionality of biosensors. QDs, with their size-tunable fluorescence and high photostability, are particularly useful in fluorescence-based detection systems, enabling multiplexed detection of different pathogens in a single assay. MNPs, on the other hand, facilitate magnetic separation and concentration of target analytes from complex biological matrices like blood or saliva, improving the detection limits and reducing background interference. Integration of these nanoparticles into microfluidic devices or paper-based analytical tools has led to the development of compact, cost-effective platforms capable of delivering results within minutes. Such innovations are particularly valuable during epidemic outbreaks or in resource-constrained settings where conventional laboratory infrastructure is unavailable.
Recent advancements have also seen the incorporation of nanoparticle-based biosensors with mobile and wireless technologies, paving the way for smart diagnostics. These systems can transmit data in real-time to healthcare providers or centralized databases, aiding in disease surveillance and remote patient monitoring. For example, electrochemical biosensors embedded with carbon nanomaterials and coupled with smartphone interfaces have demonstrated remarkable performance in detecting pathogens like SARS-CoV-2, Zika virus, and dengue. These platforms offer not only high sensitivity and specificity but also scalability and adaptability to different pathogens through simple probe modification. Furthermore, machine learning algorithms are increasingly being integrated with sensor outputs to improve diagnostic accuracy and interpret complex datasets [2].
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