Literature DB >> 25163493

Pushing the detection limit of infrared spectroscopy for structural analysis of dilute protein samples.

Maurizio Baldassarre1, Andreas Barth.   

Abstract

Fourier-transform infrared spectroscopy is a powerful and versatile tool to investigate the structure and dynamics of proteins in solution. The intrinsically low extinction coefficient of the amide I mode, the main structure-related oscillator, together with the high infrared absorptivity of aqueous media, requires that proteins are studied at high concentrations (>10 mg L(-1)). This may represent a challenge in the study of aggregation-prone proteins and peptides, and questions the significance of structural data obtained for proteins physiologically existing at much lower concentrations. Here we describe the development of a simple experimental approach that increases the detection limit of protein structure analysis by infrared spectroscopy. Our approach relies on custom-made filters to isolate the amide I region (1700-1600 cm(-1)) from irrelevant spectral regions. The sensitivity of the instrument is then increased by background attenuation, an approach consisting in the use of a neutral density filter, such as a non-scattering metal grid, to attentuate the intensity of the background spectrum. When the filters and grid are combined, a 2.4-fold improvement in the noise level can be obtained. We have successfully tested this approach using a highly diluted solution of pyruvate kinase in deuterated medium (0.2% w/v), and found that it provides spectra of a quality comparable to those recorded with a 10-fold higher protein concentration.

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Year:  2014        PMID: 25163493     DOI: 10.1039/c4an00918e

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  3 in total

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Journal:  Biophys J       Date:  2020-07-24       Impact factor: 4.033

2.  Characterization of Homogeneous and Heterogeneous Amyloid-β42 Oligomer Preparations with Biochemical Methods and Infrared Spectroscopy Reveals a Correlation between Infrared Spectrum and Oligomer Size.

Authors:  Faraz Vosough; Andreas Barth
Journal:  ACS Chem Neurosci       Date:  2021-01-17       Impact factor: 4.418

Review 3.  Wanted: more monitoring and control during inclusion body processing.

Authors:  Diana Humer; Oliver Spadiut
Journal:  World J Microbiol Biotechnol       Date:  2018-10-19       Impact factor: 3.312

  3 in total

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