Recent advances in nanomaterial-based biosensor for periodontitis detection

Autor: Mohammad Hosseini Hooshiar, Masoud Amiri Moghaddam, Mohammad Kiarashi, Athraa Y. Al-Hijazi, Abbas Fadel Hussein, Hareth A.Alrikabi, Sara Salari, Samar Esmaelian, Hassan Mesgari, Saman Yasamineh
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Journal of Biological Engineering, Vol 18, Iss 1, Pp 1-27 (2024)
Druh dokumentu: article
ISSN: 1754-1611
DOI: 10.1186/s13036-024-00423-6
Popis: Abstract Periodontitis, a chronic inflammatory condition caused by bacteria, often causes gradual destruction of the components that support teeth, such as the alveolar bone, cementum, periodontal ligament, and gingiva. This ultimately results in teeth becoming loose and eventually falling out. Timely identification has a crucial role in preventing and controlling its progression. Clinical measures are used to diagnose periodontitis. However, now, there is a hunt for alternative diagnostic and monitoring methods due to the progress of technology. Various biomarkers have been assessed using multiple bodily fluids as sample sources. Furthermore, conventional periodontal categorization factors do not provide significant insights into the present disease activity, severity and amount of tissue damage, future development, and responsiveness to treatment. In recent times, there has been a growing utilization of nanoparticle (NP)-based detection strategies to create quick and efficient detection assays. Every single one of these platforms leverages the distinct characteristics of NPs to identify periodontitis. Plasmonic NPs include metal NPs, quantum dots (QDs), carbon base NPs, and nanozymes, exceptionally potent light absorbers and scatterers. These find application in labeling, surface-enhanced spectroscopy, and color-changing sensors. Fluorescent NPs function as photostable and sensitive instruments capable of labeling various biological targets. This article presents a comprehensive summary of the latest developments in the effective utilization of various NPs to detect periodontitis. Graphical Abstract
Databáze: Directory of Open Access Journals
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