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Access resistance-based single entity analysis
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AI
DOI：10.1016/j.coelec.2024.101500.png)
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Abstract
En 中文
Single entities encompassing individual particles, molecules, and cells, serve as the fundamental units in the fields of materials, chemistry, and biology. Understanding the relationship between physiochemical properties ( e.g. , morphology, size, charge density, surface chemistry) of nanoparticles and functions is crucial for their design and utilization. Some reviews have summarized the progress of single entity analysis based on electrochemical technique owing to their ability to accurately detect the unique properties at the level of single nanoparticles with high temporal resolution. This review focuses on access resistance-based single entity analysis (arSEA) based on ion current blockage by a single nanoparticle at the orifice of the nanopore/nanochannel. It provides a straightforward, rapid, and highly effective method for the real -time analysis of single particles. This review aims at systematically introduce the principle, model, and application of arSEA. The challenges and opportunities of the arSEA were also discussed in this review.
Keywords:
Single-entity analysis
Access resistance
Single particles
Electro-chemistry
Ion transport
Journal
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6.9
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1.7K
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8.6K