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Molecularly imprinted polymers fabricated via Pickering emulsions stabilized solely by food-grade casein colloidal nanoparticles for selective protein recognition

Overview of attention for article published in Analytical & Bioanalytical Chemistry, March 2018
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Title
Molecularly imprinted polymers fabricated via Pickering emulsions stabilized solely by food-grade casein colloidal nanoparticles for selective protein recognition
Published in
Analytical & Bioanalytical Chemistry, March 2018
DOI 10.1007/s00216-018-1006-x
Pubmed ID
Authors

Yanhua Sun, Shian Zhong

Abstract

Novel molecularly imprinted polymers (MIPs) based on denatured casein nanoparticle (DCP)-stabilized Pickering emulsions were developed for the first time. Casein, a phosphoprotein, is the main protein in milk. In this work, DCPs were solely used as Pickering-type interfacial emulsifiers for fabrication of MIPs for the selective recognition of proteins for the first time. DCPs were prepared by acidification and heat denaturation (at 80 °C) of casein. Their dispersions have satisfactory colloidal stability over a wide pH range. The DCPs acted as natural, food-grade, and edible interfacial emulsifiers, and adsorbed at the oil-water interface to form Pickering emulsions. After the polymerization of monomers, the template protein was removed by elution. During the elution, the interfacial DCPs were also removed, allowing more imprinted cavities to become exposed. The interfacial imprinting technology causes nearly all the imprinted sites to locate on the surface of the polymeric material. Therefore, the MIPs obtained exhibit fast rebinding and excellent specific recognition ability toward the analytes. Overall, this work provides a promising method for designing and fabricating natural-protein-based structured emulsions to prepare MIPs and thus offers new insight into protein separation and purification. Graphical Abstract Pickering emulsions stabilized by denatured casein particles.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Student > Master 3 11%
Student > Bachelor 2 7%
Unspecified 1 4%
Lecturer 1 4%
Other 2 7%
Unknown 13 48%
Readers by discipline Count As %
Chemistry 7 26%
Engineering 2 7%
Agricultural and Biological Sciences 1 4%
Unspecified 1 4%
Materials Science 1 4%
Other 1 4%
Unknown 14 52%
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 25 April 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#6,602
of 9,619 outputs
Outputs of similar age
#269,679
of 345,388 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#132
of 203 outputs
Altmetric has tracked 25,382,440 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 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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