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Biosensors and Bioelectronics
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Biosensors and Bioelectronics
Article . 2015 . Peer-reviewed
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DIGITAL.CSIC
Article . 2016 . Peer-reviewed
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Nanoparticle-based lateral flow biosensors

Authors: Quesada-González, Daniel; Merkoçi, Arben;

Nanoparticle-based lateral flow biosensors

Abstract

Lateral flow biosensors (LFBs) are paper-based devices which permit the performance of low-cost and fast diagnostics with good robustness, specificity, sensitivity and low limits of detection. The use of nanoparticles (NPs) as labels play an important role in the design and fabrication of a lateral flow strip (LFS). The choice of NPs and the corresponding detection method directly affect the performance of these devices. This review discusses aspects related to the application of different nanomaterials (e.g. gold nanoparticles, carbon nanotubes, quantum dots, up-converting phosphor technologies, and latex beads, between others) in LFBs. Moreover, different detection methods (colorimetric, fluorescent, electrochemical, magnetic, etc.) and signal enhancement strategies (affording secondary reactions or modifying the architecture of the LFS) as well as the use of devices such as smartphones to mediate the response of LFSs will be analyzed.

Country
Spain
Keywords

Immunoassay, Optical detection, Metal Nanoparticles, Biosensing Techniques, Electrochemical Techniques, Carbon, Nanoparticle, Liposomes, Quantum Dots, Electrochemical detection, Animals, Humans, Nanoparticles, Gold, Coloring Agents, Magnetite Nanoparticles, Lateral flow, Fluorescent Dyes

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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541
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85
42
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