2018
DOI: 10.1016/j.aca.2017.11.031
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Accurate anisotropy recovery from fluorophore mixtures using Multivariate Curve Resolution (MCR)

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Cited by 11 publications
(8 citation statements)
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“…EEM three-way arrays can be decomposed using bilinear methods such as MCR-ALS [39] or trilinear models like PARAFAC [33]. MCR-ALS offers the advantage to switch between bilinear, partial trilinear, and fully trilinear models [35], however, rotational ambiguities can be associated with the bilinear solutions [22,23,29,30,39,40]. Thus, different constraints and augmentation modes can yield different solutions from the correct solution [30].…”
Section: Data Analysis and Chemometric Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…EEM three-way arrays can be decomposed using bilinear methods such as MCR-ALS [39] or trilinear models like PARAFAC [33]. MCR-ALS offers the advantage to switch between bilinear, partial trilinear, and fully trilinear models [35], however, rotational ambiguities can be associated with the bilinear solutions [22,23,29,30,39,40]. Thus, different constraints and augmentation modes can yield different solutions from the correct solution [30].…”
Section: Data Analysis and Chemometric Methodsmentioning
confidence: 99%
“…Previously we showed that ARMES of Human Serum Albumin (HSA) using MCR modelling yielded multiple components [25], however these studies used thin film polarizers with no transmission below 300 nm which affected the TSFS data structure. Further developments of ARMES to enable short (<300 nm) wavelength excitation [26] and validation measurements have shown that one can accurately recover individual fluorophore emission in the absence of inner filter effects (IFE) and FRET [35]. These early studies also undertook MCR analysis on all four polarization measurements, mainly in an effort to confirm that the chemometric modelling was robust [26,36].…”
Section: Introductionmentioning
confidence: 99%
“…Still, MDF measurements generate large amount of spectral data that require careful interpretation and data reduction while retaining the essential information, which is generally accomplished using chemometric multivariate analysis tools. Curve resolution methods like PARAllel FACtor analysis (PARAFAC; Elcoroaristizabal et al, 2015; Murphy et al, 2013) or multivariate curve resolution‐alternating least squares (MCR‐ALS; Casamayou‐Boucau & Ryder, 2018; de Juan et al, 2014) can sometimes resolve the analyte of interest spectrum, from the background or interferents, but they are generally subjected to significant matrix effects in complex, biogenic solutions. Multivariate regression methods like unfolded (U‐PLS) or N‐way partial least squares (N‐PLS) usually provide better predictive performance, but they have problems where the relationship between signal and concentration is very nonlinear such as in bioreactors (Olivieri, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…For proteins, where more information is needed one can use polarized EEM (pEEM) measurements and chemometric data analysis. When factor-based analysis can be implemented, this anisotropy resolved multidimensional emission spectroscopy [18,19] can be used to explore individual fluorophore emission contributions. .…”
Section: Introductionmentioning
confidence: 99%