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Detection of Citrus tristeza virus by using fluorescence resonance energy transfer-based biosensor

Overview of attention for article published in Spectrochimica Acta Part A: Molecular & Biomolecular Spectroscopy, June 2016
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Title
Detection of Citrus tristeza virus by using fluorescence resonance energy transfer-based biosensor
Published in
Spectrochimica Acta Part A: Molecular & Biomolecular Spectroscopy, June 2016
DOI 10.1016/j.saa.2016.06.052
Pubmed ID
Authors

Taha Roodbar Shojaei, Mohamad Amran Mohd Salleh, Kamaruzaman Sijam, Raha Abdul Rahim, Afshin Mohsenifar, Reza Safarnejad, Meisam Tabatabaei

Abstract

Due to the low titer or uneven distribution of Citrus tristeza virus (CTV) in field samples, detection of CTV by using conventional detection techniques may be difficult. Therefore, in the present work, the cadmium-telluride quantum dots (QDs) was conjugated with a specific antibody against coat protein (CP) of CTV, and the CP were immobilized on the surface of gold nanoparticles (AuNPs) to develop a specific and sensitive fluorescence resonance energy transfer (FRET)-based nanobiosensor for detecting CTV. The maximum FRET efficiency for the developed nano-biosensor was observed at 60% in AuNPs-CP/QDs-Ab ratio of 1:8.5. The designed system showed higher sensitivity and specificity over enzyme linked immunosorbent assay (ELISA) with a limit of detection of 0.13μgmL(-1) and 93% and 94% sensitivity and specificity, respectively. As designed sensor is rapid, sensitive, specific and efficient in detecting CTV, this could be envisioned for diagnostic applications, surveillance and plant certification program.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Student > Master 6 11%
Student > Bachelor 6 11%
Researcher 4 7%
Student > Doctoral Student 4 7%
Other 12 22%
Unknown 12 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 20%
Chemistry 7 13%
Engineering 6 11%
Biochemistry, Genetics and Molecular Biology 5 9%
Materials Science 2 4%
Other 9 16%
Unknown 15 27%
Attention Score in Context

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 15 July 2016.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from Spectrochimica Acta Part A: Molecular & Biomolecular Spectroscopy
#1,773
of 2,766 outputs
Outputs of similar age
#283,409
of 367,288 outputs
Outputs of similar age from Spectrochimica Acta Part A: Molecular & Biomolecular Spectroscopy
#25
of 47 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,766 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 22nd percentile – i.e., 22% 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 367,288 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.