Brief Report - (2024) Volume 7, Issue 5
Reusable Biosensor for Simple Unfiltered Saliva RNA Detection
Moynihan Maddali*
*Correspondence:
Moynihan Maddali, Department of Pathology, Pomeranian Medical University in Szczecin, 1 Unii Lubelskiej St., 71-242 Szczecin,
Poland,
Email:
Department of Pathology, Pomeranian Medical University in Szczecin, 1 Unii Lubelskiej St., 71-242 Szczecin, Poland
Received: 29-Feb-0024, Manuscript No. jbps-25-159313;
Editor assigned: 04-Sep-2024, Pre QC No. P-159313;
Reviewed: 16-Sep-2024, QC No. Q-159313;
Revised: 23-Sep-2024, Manuscript No. R-159313;
Published:
30-Sep-2024
, DOI: 10.37421/2952-8100.2024.7.480
Citation: Maddali, Moynihan. â??Reusable Biosensor for Simple Unfiltered Saliva RNA Detection.â? J Biomed Pharm Sci 7 (2024): 480.
Copyright: © 2024 Maddali M. 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 detection of RNA biomarkers in biological fluids such as saliva has
gained significant interest in the field of diagnostic and molecular medicine.
Saliva, as a non-invasive sample source, offers a convenient and costeffective
alternative to more invasive diagnostic procedures such as blood
draws or tissue biopsies. Among the various potential applications of salivabased
diagnostics, the detection of RNA in unfiltered saliva stands out
due to its potential in diagnosing a wide range of diseases, including viral
infections, genetic disorders and even cancer. The development of a reusable
biosensor for the simple detection of unfiltered saliva RNA holds promise for
revolutionizing both point-of-care and remote diagnostics.
This paper explores the concept of a reusable biosensor designed for the
detection of RNA in unfiltered saliva, discussing the underlying principles of
RNA detection, the design and components of the biosensor, challenges faced
in its development and the future potential of such a device in clinical and athome
diagnostic applications.
Description
RNA, which can serve as valuable indicators of disease or physiological
states. RNA, in particular, is a promising biomarker due to its direct involvement
in the gene expression process and its rapid response to changes in the body.
The detection of RNA from unfiltered saliva is advantageous because saliva
is readily accessible and its collection is non-invasive, painless and can be
easily performed without the need for trained medical personnel. Traditional
methods for RNA detection, such as Reverse Transcription Polymerase Chain
Reaction (RT-PCR) and quantitative PCR (qPCR), are sensitive and widely
used in laboratories. However, these methods often require specialized
equipment, time-consuming sample preparation and skilled operators, which
makes them unsuitable for point-of-care or field diagnostics. Moreover, these
methods typically rely on RNA extraction and purification from saliva, which
can be cumbersome, expensive and prone to sample loss or degradation.
RNA biosensors can be broadly classified into two types: those that rely
on direct detection of RNA and those that involve an amplification step. Direct
detection methods measure the presence of RNA by recognizing its unique
sequence or structure, while amplification-based methods, such as isothermal
amplification, increase the amount of RNA to enhance the signal. In the
context of a reusable biosensor for unfiltered saliva RNA detection, a direct
detection method is more desirable. This approach simplifies the process,
reduces the time and cost and avoids the need for complex amplification
procedures. Several technologies can be used in RNA biosensors, including
optical, electrochemical and piezoelectric transduction methods, each with its
advantages and limitations [1,2].
Conclusion
The development of a reusable biosensor for RNA detection in unfiltered
saliva holds tremendous potential for revolutionizing diagnostics across
a wide range of medical fields. While there are significant challenges to
overcome, including ensuring RNA stability, minimizing interference from
other biomolecules and optimizing sensitivity and specificity, recent advances
in biosensor technology and nanomaterials provide promising solutions to
these challenges. As research in this area progresses, we can expect to see
the emergence of portable, cost-effective and highly sensitive RNA biosensors
that can be used for both clinical and at-home diagnostics. By making RNA
detection more accessible and efficient, these biosensors could play a key
role in early disease detection, personalized medicine.
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