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二维红外光谱法在水中对蛋白质的研究:以溶剂热响应作为内标。

2D-Infrared Spectroscopy of Proteins in Water: Using the Solvent Thermal Response as an Internal Standard.

机构信息

Department of Physics, SUPA , University of Strathclyde , 107 Rottenrow East , Glasgow G4 0NG , U.K.

STFC Central Laser Facility, Research Complex at Harwell , Rutherford Appleton Laboratory , Harwell Campus, Didcot OX11 0QX , U.K.

出版信息

Anal Chem. 2020 Feb 18;92(4):3463-3469. doi: 10.1021/acs.analchem.9b05601. Epub 2020 Feb 6.

Abstract

Ultrafast two-dimensional infrared (2D-IR) spectra can now be obtained in a matter of seconds, opening up the possibility of high-throughput screening applications of relevance to the biomedical and pharmaceutical sectors. Determining quantitative information from 2D-IR spectra recorded on different samples and different instruments is however made difficult by variations in beam alignment, laser intensity, and sample conditions. Recently, we demonstrated that 2D-IR spectroscopy of the protein amide I band can be performed in aqueous (HO) rather than deuterated (DO) solvents, and we now report a method that uses the magnitude of the associated thermal response of HO as an internal normalization standard for 2D-IR spectra. Using the water response, which is temporally separated from the protein signal, to normalize the spectra allows significant reduction of the impact of measurement-to-measurement fluctuations on the data. We demonstrate that this normalization method enables creation of calibration curves for measurement of absolute protein concentrations and facilitates reproducible difference spectroscopy methodologies. These advances make significant progress toward the robust data handling strategies that will be essential for the realization of automated spectral analysis tools for large scale 2D-IR screening studies of protein-containing solutions and biofluids.

摘要

超快二维红外(2D-IR)光谱现在可以在几秒钟内获得,为生物医学和制药领域的高通量筛选应用开辟了可能性。然而,由于光束对准、激光强度和样品条件的变化,从在不同样品和不同仪器上记录的 2D-IR 光谱中确定定量信息变得困难。最近,我们证明了蛋白质酰胺 I 带的 2D-IR 光谱可以在水(HO)而不是氘代(DO)溶剂中进行,我们现在报告了一种使用相关热响应幅度的方法HO 作为 2D-IR 光谱的内部归一化标准。使用与蛋白质信号时间分离的水响应来归一化光谱可以显著减少测量到测量的波动对数据的影响。我们证明,这种归一化方法可以为测量绝对蛋白质浓度创建校准曲线,并促进可重复的差光谱方法学。这些进展朝着稳健的数据处理策略迈出了重要的一步,这些策略对于实现用于大规模 2D-IR 筛选研究蛋白质溶液和生物流体的自动化光谱分析工具至关重要。

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