Silica–Quantum Dot Nanomaterials as a Versatile Sensing Platform
Critical Reviews in Analytical Chemistry, ISSN: 1547-6510, Vol: 51, Issue: 7, Page: 687-708
2021
- 20Citations
- 31Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations20
- Citation Indexes20
- 20
- Captures31
- Readers31
- 31
Review Description
Traditional analytical methods are bounded due to required high consumption of reagents, time, expensive equipment and complicated sample preparation. Thus, there is a demand for easy, fast and sensitive procedure to determine various analytes. In this regards, quantum dots (QDs) as fluorescent nanomaterials have attracted considerable attention due to their unique optical properties. Numerous studies have been reported regarding the application of QDs in sensor development for the detection of different analytes. Moreover, mesoporous silica nanoparticles which show ideal properties including biocompatibility, uniform pore size, stability in wide range of pH and an extremely high surface area could offer great opportunity in combination with QDs for the construction of sensing platforms. The fluorescent, chemiluminescent and electrochemical sensors based on silica-QDs materials could be used for the quantitative recognition of an extensive range of analytes like organic compounds, metal cations, toxic industrial compounds, drugs, and biogenic composites. In this review, we have summarized sensors based on combined QD-silica nanomaterials and their applications in the recognition of different analytes which are published over approximately the past five years.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85087134822&origin=inward; http://dx.doi.org/10.1080/10408347.2020.1768358; http://www.ncbi.nlm.nih.gov/pubmed/32520583; https://www.tandfonline.com/doi/full/10.1080/10408347.2020.1768358; https://dx.doi.org/10.1080/10408347.2020.1768358
Informa UK Limited
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