Affiliation:
1. Infectious and Tropical Diseases Research Center, Clinical Research Institute Tabriz University of Medical Sciences Tabriz Iran
2. Infectious Diseases and Tropical Medicine Research Center (IDTMRC), Department of Aerospace and Subaquatic Medicine AJA University of Medical Sciences Tehran Iran
3. Internal Department, Medical Faculty Urmia University of Medical Sciences Urmia Iran
4. Institute of Biology, Biotechnology and Environmental Protection, Faculty of Natural Sciences Tehran University of Medical Sciences Tehran Iran
5. Stem Cell Research Center Tabriz University of Medical Sciences Tabriz Iran
6. Ramsar Campus Mazandaran University of Medical Sciences Ramsar Iran
Abstract
AbstractBackgroundProcalcitonin (PCT) is a critical biomarker that is released in response to bacterial infections and can be used to differentiate the pathogenesis of the infectious process.ObjectiveIn this article, we provide an overview of recent advances in PCT biosensors, highlighting different approaches for biosensor construction, different immobilization methods, advantages and roles of different matrices used, analytical performance, and PCT biosensor construction. Also, we will explain PCT biosensors sensible limits of detection (LOD), linearity, and other analytical characteristics. Future prospects for the development of better PCT biosensor systems are also discussed.MethodsTraditional methods such as capillary electrophoresis, high‐performance liquid chromatography, and mass spectrometry are effective in analyzing PCT in the medical field, but they are complicated, time‐consuming sample preparation, and require expensive equipment and skilled personnel.ResultsIn the past decades, PCT biosensors have emerged as simple, fast, and sensitive tools for PCT analysis in various fields, especially medical fields.ConclusionThese biosensors have the potential to accompany or replace traditional analytical methods by simplifying or reducing sample preparation and making field testing easier and faster, while significantly reducing the cost per analysis.
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3 articles.
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