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使用多元分析互补吸收和荧光光谱辅助的分馏、色谱和凝胶电泳从人血浆中纯化抗体。

Antibodies purification from human plasma using fractionation, chromatography and gel electrophoresis assisted by multivariate analysis of complimentary absorption and fluorescence spectra.

机构信息

Chemistry Department, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan 45137-66731, Iran.

Chemistry Department, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan 45137-66731, Iran; Trace Analysis Research Centre, Department of Chemistry, Dalhousie University, PO Box 15000, Halifax, NS B3H 4R2, Canada.

出版信息

J Chromatogr B Analyt Technol Biomed Life Sci. 2021 Mar 15;1167:122526. doi: 10.1016/j.jchromb.2021.122526. Epub 2021 Jan 6.

Abstract

Employing simple precipitation (fractionation) using Cohn method and weak anion exchange chromatography with DEAE resin, antibodies such as Immunoglobulin G are purified from human plasma. Fractions are eluted from column in four different regions depending on washing NaCl concentrations. Absorbance and excitation-emission fluorescence spectral data are measured for separated chromatographic fractions and analyzed using Multivariate Curve Resolution- Alternating Least Squares (MCR-ALS) and Parallel Factor Analysis (PARAFAC) techniques. Resolved concentration and spectral profiles provided information about existing components in each fraction. Protein and non-protein components are distinguished considering their resolved pure spectra and information from the two applied spectroscopic techniques is complementary. A number of components displayed both fluorescence and absorbance signals. When concentration of component (protein or non-protein) in sample is low and no significant absorbance signal is observed, sensitive fluorescence is useful to recognize the component and for non-fluorescent components absorbance spectra are utilized. Electrophoresis is utilized for separation of proteins in each fraction and showed that one distinguished protein from fluorescence and/or absorbance data can be a group of proteins with similar pure spectra and retention volume. Results showed presence of two protein in the first region (IgM and IgA), a group of proteins in second region (IgM, α-globulin, and IgG), a pure protein in third region (IgG), and a group of β-globulin proteins in fifth region. It is well and clearly shown that multivariate analysis of different data sets with complementary information is necessary for better interpretation of such technically simple and biochemically complicated systems.

摘要

采用 Cohn 法简单沉淀(分级)和弱阴离子交换层析用 DEAE 树脂,从人血浆中纯化抗体,如免疫球蛋白 G。根据洗脱 NaCl 浓度的不同,将各馏分从柱上洗脱至四个不同区域。分别对分离出的色谱馏分进行吸光度和激发-发射荧光光谱数据的测量,并采用多变量曲线分辨-交替最小二乘法(MCR-ALS)和并行因子分析(PARAFAC)技术进行分析。解析的浓度和光谱谱形提供了关于各馏分中存在的成分的信息。考虑到其解析的纯光谱和两种应用的光谱技术的信息,蛋白质和非蛋白质成分是可以区分的。许多成分同时显示荧光和吸光度信号。当样品中组分(蛋白质或非蛋白质)的浓度较低且没有明显的吸光度信号时,灵敏的荧光有助于识别该组分,而对于非荧光组分,则利用吸光度光谱。电泳用于每个馏分中的蛋白质分离,并表明,从荧光和/或吸光度数据中可以区分出一种蛋白质是一组具有相似纯光谱和保留体积的蛋白质。结果表明,第一区域(IgM 和 IgA)存在两种蛋白质,第二区域(IgM、α-球蛋白和 IgG)存在一组蛋白质,第三区域(IgG)存在一种纯蛋白质,第五区域存在一组β-球蛋白蛋白质。多变量分析不同数据集的互补信息对于更好地解释这种技术简单但生化复杂的系统是必要的,这一点得到了很好和明确的证明。

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