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Quantifying amyloid fibrils in protein mixtures via infrared attenuated-total-reflection spectroscopy

Overview of attention for article published in Analytical & Bioanalytical Chemistry, April 2015
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Title
Quantifying amyloid fibrils in protein mixtures via infrared attenuated-total-reflection spectroscopy
Published in
Analytical & Bioanalytical Chemistry, April 2015
DOI 10.1007/s00216-015-8623-4
Pubmed ID
Authors

Pei Wang, Wilhelm Bohr, Markus Otto, Karin M. Danzer, Boris Mizaikoff

Abstract

Amyloid aggregation of proteins is usually associated with amyloid diseases. A distinct feature of protein aggregation is the increase of crossed β-sheet structures. Infrared attenuated-total-reflectance (IR-ATR) spectroscopy is a sensitive optical technique that has the potential to provide secondary structure characteristics of proteins even in complex biological samples. In this study we report the analysis of secondary structures of proteins, using the amide I band for the detection and quantification of amyloid fibrils in protein mixtures by use of IR-ATR techniques, at comparatively low sample concentrations. From the experimental results, an analytical model of the relationship between the IR spectra of protein mixtures and the individual mixture components was established using spectral-deconvolution procedures and curve-fitting methods. On the basis of this model, four ratios were shown to provide direct information on amyloid aggregated fibrils via the increase of crossed β-sheet structures in protein-mixture samples. In conclusion, this study confirms the utility of IR spectroscopy for analyzing protein mixtures and for identifying amyloid fibril information within such complex multi-component samples.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Student > Master 6 17%
Researcher 4 11%
Student > Bachelor 3 9%
Professor 3 9%
Other 4 11%
Unknown 6 17%
Readers by discipline Count As %
Chemistry 11 31%
Agricultural and Biological Sciences 5 14%
Biochemistry, Genetics and Molecular Biology 4 11%
Medicine and Dentistry 2 6%
Mathematics 1 3%
Other 3 9%
Unknown 9 26%
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 20 May 2015.
All research outputs
#22,759,452
of 25,373,627 outputs
Outputs from Analytical & Bioanalytical Chemistry
#7,542
of 9,619 outputs
Outputs of similar age
#240,277
of 279,242 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#99
of 179 outputs
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