Smart Drug Delivery System-Inspired Enzyme-Linked Immunosorbent Assay Based on Fluorescence Resonance Energy Transfer and Allochroic Effect Induced Dual-Modal Colorimetric and Fluorescent Detection
Numerous analytical techniques have been undertaken for the detection of protein biomarkers due to their extensive and significant applications in clinical diagnosis, whereas there are few strategies to develop dual-readout immunosensors to achieve more accurate results. To the best of our knowledge, inspired by smart drug delivery system (DDS), a novel pH- responsive modified enzyme-linked immunosorbent assay (ELISA) was innovatively developed for the first time, realizing dual-modal colorimetric and fluorescent detection of cardiac troponin I (cTnI). Curcumin (CUR) was elaborately selected as report molecule, which played the same role of drugs in DDS based on the following considerations: 1) CUR can be used as a kind of pH indicator by the inherited allochroic effect induced by basic pH value; 2) the fluorescence of CUR can be quenched by certain nanocarriers as the acceptor due to the occurrence of fluorescence resonance energy transfer (FRET), while recovered by the stimuli of basic pH value, which can produce "signal-on" fluorescence detection. Three-dimensional MoS2 nanoflowers (3D-MoS2 NFs) were employed in immobilizing CUR to constitute nanoprobe for the determination of cTnI by virtue of good biocompatibility, high absorption capacity and fluorescence quench efficiency towards CUR. The proposed DDS inspired ELISA offered dual-modal colorimetric and fluorescent detection of cTnI, thereby meeting the reliable and precise analysis requirements. We believe that the developed dual-readout ELISA will create a new avenue and bring innovative inspirations for biological detections.
Pharmacology, Toxicology and Pharmaceutical Science
2
7%
Environmental Science
1
3%
Other
2
7%
Unknown
13
43%
Attention Score in Context
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 12 June 2020.
All research outputs
#11,321,222
of 33,351,181 outputs
Outputs from Analytical Chemistry
#13,681
of 35,153 outputs
Outputs of similar age
#172,644
of 486,617 outputs
Outputs of similar age from Analytical Chemistry
#156
of 371 outputs
Altmetric has tracked 33,351,181 research outputs across all sources so far. This one has received more attention than most of these and is in the 65th percentile.
So far Altmetric has tracked 35,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 60% of its peers.
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We're also able to compare this research output to 371 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
