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Plasmonic silver nanoshells for drug and metabolite detection

Overview of attention for article published in Nature Communications, August 2017
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Mentioned by

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4 tweeters

Citations

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42 Dimensions

Readers on

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48 Mendeley
Title
Plasmonic silver nanoshells for drug and metabolite detection
Published in
Nature Communications, August 2017
DOI 10.1038/s41467-017-00220-4
Pubmed ID
Authors

Lin Huang, Jingjing Wan, Xiang Wei, Yu Liu, Jingyi Huang, Xuming Sun, Ru Zhang, Deepanjali D. Gurav, Vadanasundari Vedarethinam, Yan Li, Ruoping Chen, Kun Qian

Abstract

In-vitro metabolite and drug detection rely on designed materials-based analytical platforms, which are universally used in biomedical research and clinical practice. However, metabolic analysis in bio-samples needs tedious sample preparation, due to the sample complexity and low molecular abundance. A further challenge is to construct diagnostic tools. Herein, we developed a platform using silver nanoshells. We synthesized SiO2@Ag with tunable shell structures by multi-cycled silver mirror reactions. Optimized nanoshells achieved direct laser desorption/ionization mass spectrometry in 0.5 μL of bio-fluids. We applied these nanoshells for disease diagnosis and therapeutic evaluation. We identified patients with postoperative brain infection through daily monitoring and glucose quantitation in cerebrospinal fluid. We measured drug distribution in blood and cerebrospinal fluid systems and validated the function of blood-brain/cerebrospinal fluid-barriers for pharmacokinetics. Our work sheds light on the design of materials for advanced metabolic analysis and precision diagnostics.Preparation of samples for diagnosis can affect the detection of biomarkers and metabolites. Here, the authors use a silver nanoparticle plasmonics approach for the detection of biomarkers in patients as well as investigate the distribution of drugs in serum and cerebral spinal fluid.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 31%
Student > Master 8 17%
Student > Bachelor 4 8%
Researcher 3 6%
Professor > Associate Professor 3 6%
Other 10 21%
Unknown 5 10%
Readers by discipline Count As %
Chemistry 11 23%
Agricultural and Biological Sciences 6 13%
Engineering 5 10%
Chemical Engineering 3 6%
Medicine and Dentistry 3 6%
Other 10 21%
Unknown 10 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 August 2017.
All research outputs
#7,249,537
of 11,642,880 outputs
Outputs from Nature Communications
#15,168
of 17,913 outputs
Outputs of similar age
#152,242
of 265,950 outputs
Outputs of similar age from Nature Communications
#736
of 822 outputs
Altmetric has tracked 11,642,880 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,913 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 47.4. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 265,950 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 822 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.