2024
DOI: 10.1016/j.talanta.2024.125854
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Metal-organic framework (MOF)-based biosensors for miRNA detection

Leila Gorgani,
Maedeh Mohammadi,
Ghasem Najafpour Darzi
et al.
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Cited by 5 publications
(1 citation statement)
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“…In addition, various nanomaterials, such as carbon nanomaterials (CNPs) (including carbon dots, graphene, and a series of derivatives, including carbon nanotubes, graphene oxide, and reduced graphene oxide) 4 and metal nanoparticle (MNPs) 5 complexes (a series of complexes including MOFs and MXenes), have been widely used in a variety of single-module biosensing fields by researchers due to their excellent sensing performance. For example, in the fields of disease diagnosis and monitoring, 6–8 there have been many excellent reviews on the application of these nanomaterials in the field of single-module biosensing for the measurement of trace pollutants in the environment 9–11 and to ensure food safety 12 and biosafety. 13,14 However, some of these nanomaterials have some limitations in practical application, which hinder their use as signal probes for multimodal biosensors.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, various nanomaterials, such as carbon nanomaterials (CNPs) (including carbon dots, graphene, and a series of derivatives, including carbon nanotubes, graphene oxide, and reduced graphene oxide) 4 and metal nanoparticle (MNPs) 5 complexes (a series of complexes including MOFs and MXenes), have been widely used in a variety of single-module biosensing fields by researchers due to their excellent sensing performance. For example, in the fields of disease diagnosis and monitoring, 6–8 there have been many excellent reviews on the application of these nanomaterials in the field of single-module biosensing for the measurement of trace pollutants in the environment 9–11 and to ensure food safety 12 and biosafety. 13,14 However, some of these nanomaterials have some limitations in practical application, which hinder their use as signal probes for multimodal biosensors.…”
Section: Introductionmentioning
confidence: 99%