α-lactalbumin, also known as the B-protein of the lactose synthetase enzymatic complex, is a soluble milk protein which is secreted throughout lactation and functions as an "on-off" switch in the synthesis of lactose. The protein has a molecular weight of 14,200 and contains 123 amino acid residues arranged in a sequence similar to that of egg-white lysozyme [1]. The protein in its native form contains one or two Ca(II) ions per mole but despite extensive investigation, mainly by Kronman and coworkers [2,3,4,8], the number and location of the sites for attachment of calcium remain ill-defined. We have initiated a study to determine further the number and nature of the protein metallic sites using Eu(III) as a luminescent binding probe
Heterogeneous fluorescence of a cholesterol analogue probe is resolved by employing both model-dependent and model-independent curve resolution methods to arrive at pure-component excitation spectra. The modeldependent approach involved performing an indirect excitation decay-associated spectral (IEDAS) analysis which, because of the triple-exponential fluorescence decay kinetics of the cholesterol analogue probe, yielded three component spectra. The model-independent approach involved the use of principal factor analysis (PFA), coupled with either self-modelling (SM) or entropy minimization (EM) routines, and yielded two component spectra. The discrepancy in the number of components obtained by the two different data analysis methods can be taken as an indication that the model incorporated in the IEDAS analysis is not appropriate to describe the photophysics of the cholesterol analogue probe. A modified IEDAS analysis, in which the underlying model allowed for an irreversible excited-state reaction, arrived at two component spectra which were in excellent agreement with those derived by the model-independent PFA/EM analysis. The limitations of self-modelling analysis, as a method to arrive at pure-component spectra from the eigenvectors generated by PFA, were very evident in this case. This work demonstrates the value of a multifaceted approach to the problem of resolving pure-component spectra from heterogeneous fluorescence spectra.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.