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Nanoparticle-Based Biosensors for Real-Time Detection of Infectious Diseases
Journal of Bioanalysis & Biomedicine

Journal of Bioanalysis & Biomedicine

ISSN: 1948-593X

Open Access

Perspective - (2025) Volume 17, Issue 1

Nanoparticle-Based Biosensors for Real-Time Detection of Infectious Diseases

Reza Karimi*
*Correspondence: Reza Karimi, Department of Physics, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj, 8100, Bangladesh, Email:
Department of Physics, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj, 8100, Bangladesh

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.

Introduction

The global burden of infectious diseases remains a significant public health challenge, especially in regions with limited access to advanced healthcare infrastructure. Rapid and accurate diagnosis is essential for effective disease management, outbreak control, and the timely administration of appropriate treatments. Traditional diagnostic methods, such as culture-based assays and Polymerase Chain Reaction (PCR), while reliable, often require sophisticated equipment, trained personnel, and extended processing times. In contrast, the advent of biosensor technologiesâ??particularly those integrating nanoparticlesâ??has ushered in a new era of point-of-care diagnostics. Nanoparticle-based biosensors offer exceptional sensitivity, specificity, and the potential for real-time detection, making them ideal candidates for combating infectious diseases in both clinical and remote settings. These sensors leverage the unique physicochemical properties of nanoparticles, such as large surface area, quantum effects, and enhanced signal amplification, to detect biological targets with high fidelity [1].

Description

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].

Conclusion

Nanoparticle-based biosensors represent a transformative approach in the fight against infectious diseases, offering unprecedented capabilities for rapid, accurate, and real-time pathogen detection. By harnessing the distinctive properties of nanoparticles and combining them with modern electronics, mobile interfaces, and intelligent data processing, these biosensors are poised to revolutionize point-of-care diagnostics. Their potential to provide early warning signals during outbreaks, monitor treatment efficacy, and enhance disease surveillance systems makes them invaluable assets in global healthcare. While challenges remain in terms of standardization, scalability, and regulatory approval, the future of nanoparticle-enabled biosensing technologies is undeniably promising. As interdisciplinary research continues to push the boundaries of sensitivity, specificity, and portability, these biosensors are likely to become integral components of next-generation diagnostic strategies, particularly in an era where rapid response to infectious threats is more critical than ever.

Acknowledgement

None.

Conflict of Interest

None.

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  1. Lorenzo-Herrero, Silvia, López-Soto, Alberto, Sordo-Bahamonde, Cristina, et al. "NK cell-based immunotherapy in cancer metastasis." Cancers 11 (2018): 29.

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