2024
DOI: 10.3390/bios14020108
|View full text |Cite
|
Sign up to set email alerts
|

Hierarchical Nanobiosensors at the End of the SARS-CoV-2 Pandemic

Jael Abigail Medrano-Lopez,
Isaela Villalpando,
Ma Isabel Salazar
et al.

Abstract: Nanostructures have played a key role in the development of different techniques to attack severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Some applications include masks, vaccines, and biosensors. The latter are of great interest for detecting diseases since some of their features allowed us to find specific markers in secretion samples such as saliva, blood, and even tears. Herein, we highlight how hierarchical nanoparticles integrated into two or more low-dimensional materials present outstand… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 243 publications
(199 reference statements)
0
1
0
Order By: Relevance
“…These materials improve signal intensity and enhance various energy transfer processes. The integration of hierarchical nanomaterials alongside other nanomaterials expands the design possibilities of analysis arrays, enabling even more diverse and efficient biosensing platforms [190]. Overall, the application of nanomaterials has dramatically improved the sensitivity and recognition range of pattern recognition detection, leading to more diverse array designs [191].…”
Section: Discussionmentioning
confidence: 99%
“…These materials improve signal intensity and enhance various energy transfer processes. The integration of hierarchical nanomaterials alongside other nanomaterials expands the design possibilities of analysis arrays, enabling even more diverse and efficient biosensing platforms [190]. Overall, the application of nanomaterials has dramatically improved the sensitivity and recognition range of pattern recognition detection, leading to more diverse array designs [191].…”
Section: Discussionmentioning
confidence: 99%