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https://doi.org/10.1109/nems54...
Article . 2022 . Peer-reviewed
License: STM Policy #29
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The Influence of Substrate Microstructures on the Fluorescent Intensity Profile, Size, Roundness, and Coffee Ring Ratio of Protein Microarray Spots

Authors: Weijin Guo; Lluisa Vilaplana; Jonas Hansson; M.-Pilar Marco; Wouter van der Wijngaart;

The Influence of Substrate Microstructures on the Fluorescent Intensity Profile, Size, Roundness, and Coffee Ring Ratio of Protein Microarray Spots

Abstract

Besides the most common glass substrates, novel materials are pursued as substrates for protein microarrays, including flat polymer substrates and porous substrates, such as nitrocellulose, porous silicon and synthetic paper. Microstructures on a substrate surface affect the spot properties, and thereby the assay performance. We investigated the influence of substrate microstructures on the properties of microarray spots. We run a noncompetitive immunochemical assay on glass, nitrocellulose and variants of synthetic paper. We compare the fluorescent intensity profile, size, roundness, and coffee ring ratio of spots on different substrates. We found that spot size is related to the pore size, porosity and volume capacity of the microstructures. Microstructures can reduce the roundness and coffee ring ratio of the microarray spots.

Peer reviewed

Keywords

Substrate Microstructures, Fluorescence

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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