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Monitoring the fractionation of a whey protein isolate during dead‐end membrane filtration using fluorescence and chemometric methods
Author(s) -
Elshereef Rand,
Budman Hector,
Moresoli Christine,
Legge Raymond L.
Publication year - 2009
Publication title -
biotechnology progress
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.572
H-Index - 129
eISSN - 1520-6033
pISSN - 8756-7938
DOI - 10.1002/btpr.293
Subject(s) - fractionation , chromatography , chemistry , calibration , fluorescence spectroscopy , permeation , whey protein , membrane , multivariate statistics , analytical chemistry (journal) , fluorescence , computer science , biochemistry , mathematics , machine learning , statistics , physics , quantum mechanics
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 multicomponent 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. © 2009 American Institute of Chemical Engineers Biotechnol. Prog., 2010