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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Nawaz, Hifza
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- 2024Integrated synergycitations
- 2023Hybrid ionogel membrane of PVDF incorporating ionic liquid-reduced graphene oxide for the removal of heavy metal ions from synthetic watercitations
- 2022Polymer Nanocomposites Based on TiO 2 as a Reinforcing Agentcitations
- 2021Polyvinylidene fluoride nanocomposite super hydrophilic membrane integrated with Polyaniline-Graphene oxide nano fillers for treatment of textile effluentscitations
- 2020A review on advanced smart material based nano sensors for viral detections
- 2020Advanced smart material based nano sensors for viral detections
- 2016A Brief Review on Nanocomposites based on PVDF with Nanostructured TiO2 as Fillercitations
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document
A review on advanced smart material based nano sensors for viral detections
Abstract
<p>Nowadays, researchers are focusing on the use of smart materials due to their multiple functional capabilities. A “smart material” refers to a material having nano level structure that can responds in a specialized and controlled way to influence on its sensing mechanisms. Due to the multiple properties of smart materials, they have a great influence on current analytical methods and diagnostic strategies by reorganizing the sensing modules for nano-sized objects (protein biomarkers and viruses) and biomolecules detection. Incontestably, current iterations of sensors need continuous updates for addressing the growing challenges in the field of diagnosis for viruses because these viruses altered and spread rapidly from person-to-persons. It becomes critical to take into consideration several factors for viral diagnosis ranging from the type and quality of specimen collected, mode of transport, time of specimen collection, level of accuracy or specificity, viral detection sensitivity, and the type of diagnostic method used. In this review, we briefly explained the principle and different types of smart materials being used for diagnosing infectious viruses. The development in the field of smart material based nano sensors with resource-scarce settings is further discussed and elaborated the pros and cons of current methods for viral detection as a conclusion and future perspective.</p>