2023
DOI: 10.1021/acs.analchem.3c01522
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Nanomaterial-Based Biosensors for SARS-CoV-2 and Future Epidemics

Parsa Yari,
Shuang Liang,
Vinit Kumar Chugh
et al.

Abstract: 15430 Magnetic Nanoparticles (MNPs)-Based Approaches 15431 MNP-Based Lateral Flow Assay (LFA) 15431 MNP-Based Magnetic Particle Spectroscopy (MPS) 15434 MNP-Based Magnetoresistive (MR) Biosensors 15435 Quantum Dots (QDs)-Based Approaches 15436 Carbon Nanotube (CNT)-

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Cited by 6 publications
(3 citation statements)
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“…In summary, nanomaterials enhance the biosensing response (signal transduction) and, consequently, method sensitivity. The main benefits of nanomaterials are their higher surface area/volume ratio, which increases the detectability of the assay compared to bulk equivalents, as well as their unique optical, plasmonic, and electrical properties. , However, using nanomaterials presents several challenges in developing diagnostics in terms of scalability, mass production, and sensitivity. Therefore, we have included critical discussions about the need for controlled synthesis, strategies for the biofunctionalization of nanomaterials (i.e., mainly metallic nanoparticles), and the importance of evaluating their stability and homogeneity in order to build reproducible and reliable biosensing diagnostic tests.…”
Section: Introductionmentioning
confidence: 99%
“…In summary, nanomaterials enhance the biosensing response (signal transduction) and, consequently, method sensitivity. The main benefits of nanomaterials are their higher surface area/volume ratio, which increases the detectability of the assay compared to bulk equivalents, as well as their unique optical, plasmonic, and electrical properties. , However, using nanomaterials presents several challenges in developing diagnostics in terms of scalability, mass production, and sensitivity. Therefore, we have included critical discussions about the need for controlled synthesis, strategies for the biofunctionalization of nanomaterials (i.e., mainly metallic nanoparticles), and the importance of evaluating their stability and homogeneity in order to build reproducible and reliable biosensing diagnostic tests.…”
Section: Introductionmentioning
confidence: 99%
“…A variety of nanomaterials, including gold nanoparticles, magnetic nanoparticles, carbon materials, and metal–organic framework materials, have found extensive applications as sensors for nucleic acid and protein detection. Their utilization is attributed to their remarkable features such as high adsorption capacity, large surface area, high reactivity, and quantum size effect. Notably, graphene oxide (GO)-based fluorescent biosensors and detections have garnered significant attention due to their fluorescence-quenching properties. Moreover, GO has been demonstrated to effectively adsorb nucleic acids through a combination of electrostatic interactions, hydrogen bonding, and π–π stacking. Additionally, GO exhibits a protective role by shielding nucleic acids from enzymatic degradation. However, one notable limitation of GO is its restricted capacity to separate from aqueous solutions. This poses a considerable challenge when attempting to apply GO for nucleic acid extraction from wastewater. , Although the conjugation of GO with magnetic beads has the potential to enhance its separation ability, there is a constraint in terms of the amount of GO that can be effectively conjugated onto magnetic beads through chemical modification. …”
Section: Introductionmentioning
confidence: 99%
“…This robustness enables its operation across a wider range of pH levels and temperatures, rendering it versatile and adaptable for diverse experimental conditions. Furthermore, SPIONs exhibit lower toxicity and enhanced biocompatibility compared to other metallic nanoparticle counterparts, rendering them promising candidates for environmental remediation as well as for several bioapplications [21,22]. Importantly, magnetic remediation involving SPIONs is characterized by its reliability, and these nanoparticles can be effectively recycled for subsequent applications with consistently high efficiency, which decreases process costs [23].…”
Section: Introductionmentioning
confidence: 99%