• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Biotechnology Progress >Monitoring the Fractionation of a Whey Protein Isolate During Dead-End Membrane Filtration Using Fluorescence and Chemometric Methods
【24h】

Monitoring the Fractionation of a Whey Protein Isolate During Dead-End Membrane Filtration Using Fluorescence and Chemometric Methods

机译：使用荧光和化学计量学方法监测死膜过滤过程中乳清蛋白分离物的分离

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

During membrane-based separation of proteins, changes in protein concentration of the permeate and retentate streams occurs over time. The current work proposes a new approach for monitoring the changes in concentrations of proteins in both permeate and retentate by making use of data collected using fluorescence spectroscopy and intrinsic protein fluorescence analyzed by multivariate statistical techniques. Whey protein isolate consists mainly of α-lactalbumin (α-LA), β-lactoglobulin (β-LG), and small proportion of bovine serum albumin (BSA) and was used as a model system in this study. A fiber optic probe (FOP) was used to acquire multiwavelength fluorescence spectra for permeate and retentate streams at different times during UF-based separation of the components from a multicom-ponent solution. Multivariate regression models were developed for predicting the concentrations of α-LA, β-LG, and BSA by establishing a calibration model between data acquired using the FOP and the corresponding protein concentration levels measured by size-exclusion chromatography. The model was validated using FOP data that were not previously used for calibration of the regression models. This comparison showed that concentrations of α-LA, β-LG, and BSA could be predicted directly from FOP data within reasonable accuracy by making use of multivariate calibration tools. This approach has several attractive features including that it is nondestructive, fast, and relatively simple to perform. This technique has potential practical applications as it could offer the opportunity for in situ monitoring of membrane filtration processes by tracking individual protein transmission and selectivity of fractionation.
机译：在基于膜的蛋白质分离过程中，渗透液和截留液的蛋白质浓度会随时间发生变化。当前的工作提出了一种新方法，该方法通过利用荧光光谱法收集的数据和通过多元统计技术分析的固有蛋白质荧光来监测渗透液和截留液中蛋白质浓度的变化。乳清分离蛋白主要由α-乳白蛋白（α-LA），β-乳球蛋白（β-LG）和少量的牛血清白蛋白（BSA）组成，在本研究中用作模型系统。在基于UF的多组分溶液分离过程中，使用光纤探针（FOP）采集渗透物和截留物流在不同时间的多波长荧光光谱。通过在使用FOP采集的数据与通过尺寸排阻色谱法测量的相应蛋白质浓度之间建立校准模型，开发了多元回归模型来预测α-LA，β-LG和BSA的浓度。使用之前未用于回归模型校准的FOP数据验证了该模型。该比较表明，可以通过使用多元校准工具，从FOP数据以合理的准确度直接预测α-LA，β-LG和BSA的浓度。这种方法具有几个吸引人的功能，包括无损，快速且执行相对简单。该技术具有潜在的实际应用价值，因为它可以通过跟踪单个蛋白质的传输和分离的选择性来提供原位监测膜过滤过程的机会。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号