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Multivariate curve resolution applied to spectral data from multiple runs of an industrial process
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cem.1180010206openalex-snapshot
Determination of the dimensionality of spectroscopic data by submatrix analysis
inferredcites →https://doi.org/10.1002/cem.1180030507openalex-snapshot
Principal component analysis applied to the study of successive complex formation data in Cu(II)-ethanolamine systems
inferredcites →https://doi.org/10.1002/cem.1180040103openalex-snapshot
Mixture analysis using factor analysis. II: Self‐modeling curve resolution
inferredcites →https://doi.org/10.1002/cem.1180040105openalex-snapshot
Tensorial resolution: A direct trilinear decomposition
inferredcites →https://doi.org/10.1002/cem.1180040205openalex-snapshot
Residual bilinearization. Part 2: Application to HPLC—diode array data and comparison with rank annihilation factor analysis
inferredcites →https://doi.org/10.1002/cem.1180050303openalex-snapshot
Recent developments in multivariate calibration
inferredcites →https://doi.org/10.1002/cem.1180060104openalex-snapshot
Window factor analysis: Theoretical derivation and application to flow injection analysis data
inferredcites →https://doi.org/10.1016/0169-7439(88)80051-0openalex-snapshot
Evolving factor analysis, a new multivariate technique in chromatography
inferredcites →https://doi.org/10.1016/0169-7439(92)80073-dopenalex-snapshot
Self-modeling mixture analysis of spectral data with continuous concentration profiles
inferredcites →https://doi.org/10.1016/0169-7439(92)85005-nopenalex-snapshot
Three-way analyses problems and prospects
inferredcites →https://doi.org/10.1016/s0003-2670(00)80976-9openalex-snapshot
Peak purity control in liquid chromatography with photodiode-array detection by a fixed size moving window evolving factor analysis
inferredcites →https://doi.org/10.1016/s0003-2670(00)84089-1openalex-snapshot
Application of principal component analysis to the study of multiple equilibria systems
inferredcites →https://doi.org/10.1016/s0003-2670(00)84361-5openalex-snapshot
An extension of the multivariate component-resolution method to three components
inferredcites →https://doi.org/10.1016/s0003-2670(00)86160-7openalex-snapshot
Quantification of a known component in an unknown mixture
inferredcites →https://doi.org/10.1021/ac00130a035openalex-snapshot
Evolving factor analysis for the resolution of overlapping chromatographic peaks
inferredcites →https://doi.org/10.1021/ac50012a027openalex-snapshot
Determination of the number of factors and the experimental error in a data matrix
inferredcites →https://doi.org/10.1080/00401706.1971.10488823openalex-snapshot
Self Modeling Curve Resolution
inferredcites →https://doi.org/10.1080/00401706.1978.10489693openalex-snapshot
Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models
inferredcites →https://doi.org/10.1080/00401706.1982.10487756openalex-snapshot
Restricted Least Squares Estimation of the Spectra and Concentration of Two Unknown Constituents Available in Mixtures
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Application of Akaike information criterion assisted probabilistic latent semantic analysis on non-trilinear total synchronous fluorescence spectroscopic data sets: Automatizing fluorescence based multicomponent mixture analysis
inferred← citeshttps://doi.org/10.1016/j.aca.2019.10.038openalex-snapshot
Strategies for 13C enrichment calculation in Fourier-transform infrared CO2 spectra containing spectral overlapping and nonlinear abundance-amount relations utilizing response surface fits
inferred← citeshttps://doi.org/10.1016/j.aca.2020.03.057openalex-snapshot
Application of the area correlation constraint in the MCR-ALS quantitative analysis of complex mixture samples
inferred← citeshttps://doi.org/10.1016/j.aca.2024.342689openalex-snapshot
Multivariate curve resolution-based data fusion approaches applied in 1H NMR metabolomic analysis of healthy cohorts
inferred← citeshttps://doi.org/10.1016/j.aca.2024.342987openalex-snapshot
Area of Feasible Figures of Merit (AF-FOMs) for second-order multivariate calibrations in Multivariate Curve Resolution (MCR)
inferred← citeshttps://doi.org/10.1016/j.aca.2025.344692openalex-snapshot
Matrix effect assessment via matrix matching strategy using multivariate curve resolution methods
inferred← citeshttps://doi.org/10.1016/j.aca.2026.345387openalex-snapshot
Transfer of multivariate calibrations for potentiometric multisensor systems to account for non-calibrated interferences
inferred← citeshttps://doi.org/10.1016/j.biotechadv.2025.108749openalex-snapshot
Machine learning methods for small data and upstream bioprocessing applications: A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.bpj.2020.05.026openalex-snapshot
Unraveling VEALYL Amyloid Formation Using Advanced Vibrational Spectroscopy and Microscopy
inferred← citeshttps://doi.org/10.1016/j.chemolab.2003.07.002openalex-snapshot
Principles and methodologies in self-modeling curve resolution
inferred← citeshttps://doi.org/10.1016/j.chemolab.2003.10.006openalex-snapshot
Resolution of two-way data from on-line Fourier-transform Raman spectroscopic monitoring of the anionic dispersion polymerization of styrene and 1,3-butadiene by parallel vector analysis (PVA) and window factor analysis (WFA)
inferred← citeshttps://doi.org/10.1016/j.chemolab.2004.01.027openalex-snapshot
CuBatch, a MATLAB® interface for n-mode data analysis
inferred← citeshttps://doi.org/10.1016/j.chemolab.2005.06.016openalex-snapshot
Advances in the modelling and analysis of complex and industrial processes
inferred← citeshttps://doi.org/10.1016/j.chemolab.2005.11.004openalex-snapshot
Bayesian analysis of spectral mixture data using Markov Chain Monte Carlo Methods
inferred← citeshttps://doi.org/10.1016/j.chemolab.2007.10.003openalex-snapshot
Estimating kinetic parameters of complex catalytic reactions using a curve resolution based method
inferred← citeshttps://doi.org/10.1016/j.chemolab.2009.05.004openalex-snapshot
Exploring the analysis of structured metabolomics data
inferred← citeshttps://doi.org/10.1016/j.chemolab.2009.11.010openalex-snapshot
Assessment of the co-elution problem in gas chromatography-mass spectrometry using non-linear optimization techniques
inferred← citeshttps://doi.org/10.1016/j.chemolab.2010.07.006openalex-snapshot
Intra- and inter-omic fusion of metabolic profiling data in a systems biology framework
inferred← citeshttps://doi.org/10.1016/j.chemolab.2010.10.005openalex-snapshot
Joint processing of the parallel and crossed polarized Raman spectra and uniqueness in blind nonnegative source separation
inferred← citeshttps://doi.org/10.1016/j.chemolab.2011.02.005openalex-snapshot
Multivariate process trajectories: capture, resolution and analysis
inferred← citeshttps://doi.org/10.1016/j.chemolab.2011.02.007openalex-snapshot
The informative converse paradox: Windows into the unknown
inferred← citeshttps://doi.org/10.1016/j.chemolab.2012.01.009openalex-snapshot
Achieving bilinearity in non-bilinear augmented first order kinetic data applying calibration transfer
inferred← citeshttps://doi.org/10.1016/j.chemolab.2012.04.015openalex-snapshot
Application of ‘multivariate curve resolution alternating least square (MCR–ALS)’ analysis to extract pure component synchronous fluorescence spectra at various wavelength offsets from total synchronous fluorescence spectroscopy (TSFS) data set of dilute aqueous solutions of fluorophores
inferred← citeshttps://doi.org/10.1016/j.chemolab.2012.06.002openalex-snapshot
Multivariate curve resolution of nonlinear ion mobility spectra followed by multivariate nonlinear calibration for quantitative prediction
inferred← citeshttps://doi.org/10.1016/j.chemolab.2012.08.003openalex-snapshot
Technical details of the equation oriented system
inferred← citeshttps://doi.org/10.1016/j.chemolab.2012.10.004openalex-snapshot
Calibration transfer in model based analysis of second order consecutive reactions
inferred← citeshttps://doi.org/10.1016/j.chemolab.2014.11.010openalex-snapshot
Multivariate calibration of first-order data with the correlation constrained MCR-ALS method
inferred← citeshttps://doi.org/10.1016/j.chemolab.2015.08.007openalex-snapshot
Multivariate curve resolution alternating least square (MCR-ALS) analysis on total synchronous fluorescence spectroscopy (TSFS) data sets: Comparing certain ways of arranging TSFS-based three-way array
inferred← citeshttps://doi.org/10.1016/j.chemolab.2015.10.002openalex-snapshot
Understanding the effect of calibration set design for the application of MCR-ALS analysis on excitation–emission matrix fluorescence (EEMF) data sets under commonly used non-negativity constraints
inferred← citeshttps://doi.org/10.1016/j.chemolab.2015.12.015openalex-snapshot
Hyperspectral image analysis of Raman maps of plant cell walls for blind spectra characterization by nonnegative matrix factorization algorithm
inferred← citeshttps://doi.org/10.1016/j.chemolab.2016.02.005openalex-snapshot
A systematic study on the effects of multi-set data analysis on the range of feasible solutions
inferred← citeshttps://doi.org/10.1016/j.chemolab.2017.10.013openalex-snapshot
Detection of formaldehyde oxidation catalysis by MCR-ALS analysis of multiset ToF-SIMS data in positive and negative modes
inferred← citeshttps://doi.org/10.1016/j.chemolab.2018.06.007openalex-snapshot
MCR-ALS of hyperspectral images with spatio-spectral fuzzy clustering constraint
inferred← citeshttps://doi.org/10.1016/j.chemolab.2019.04.009openalex-snapshot
A conceptual view to the area correlation constraint in multivariate curve resolution
inferred← citeshttps://doi.org/10.1016/j.chemolab.2019.103917openalex-snapshot
Bilinear and trilinear modelling of three-way data obtained in two factor designed metabolomics studies
inferred← citeshttps://doi.org/10.1016/j.chemolab.2020.104096openalex-snapshot
Extraction of component bases from mixed spectra using non-negative matrix factorization with dissimilarity regularization
inferred← citeshttps://doi.org/10.1016/j.chemolab.2021.104438openalex-snapshot
Chemical information obtained from multicomponent spectra by means of Score-based Quantitative Principal Component Analysis
inferred← citeshttps://doi.org/10.1016/j.chemolab.2023.104897openalex-snapshot
A novel approach to combine spatial and spectral information from hyperspectral images
inferred← citeshttps://doi.org/10.1016/j.chemolab.2023.104974openalex-snapshot
Probabilistic signal estimation for vibrational spectroscopy with a flexible non-stationary Gaussian process baseline model
inferred← citeshttps://doi.org/10.1016/j.chemolab.2024.105252openalex-snapshot
On-the-fly spectral unmixing based on Kalman filtering
inferred← citeshttps://doi.org/10.1016/j.chroma.2010.01.063openalex-snapshot
The direct inverse method: A novel approach to estimate adsorption isotherm parameters
inferred← citeshttps://doi.org/10.1016/j.chroma.2012.06.011openalex-snapshot
Chromatographic fingerprint analysis of secondary metabolites in citrus fruits peels using gas chromatography–mass spectrometry combined with advanced chemometric methods
inferred← citeshttps://doi.org/10.1016/j.chroma.2013.12.045openalex-snapshot
Combination of multivariate curve resolution and multivariate classification techniques for comprehensive high-performance liquid chromatography-diode array absorbance detection fingerprints analysis of Salvia reuterana extracts
inferred← citeshttps://doi.org/10.1016/j.colsurfb.2005.04.008openalex-snapshot
A distinct intermediate of RNase A is induced by sodium dodecyl sulfate at its pKa
inferred← citeshttps://doi.org/10.1016/j.ejps.2007.09.002openalex-snapshot
Multivariate data analysis as a tool to investigate the reaction kinetics of intramolecular cyclization of enalapril maleate studied by isothermal and non-isothermal FT-IR microscopy
inferred← citeshttps://doi.org/10.1016/j.envpol.2018.06.095openalex-snapshot
Polycyclic aromatic hydrocarbons in surface sediments of the mid-Adriatic and along the Croatian coast: Levels, distributions and sources
inferred← citeshttps://doi.org/10.1016/j.foodchem.2018.12.132openalex-snapshot
Chemometrics-assisted determination of Sudan dyes using zinc oxide nanoparticle-based electrochemical sensor
inferred← citeshttps://doi.org/10.1016/j.foodchem.2021.130840openalex-snapshot
Second-order electrochemical data generation to quantify carvacrol in oregano essential oils
inferred← citeshttps://doi.org/10.1016/j.foodcont.2020.107454openalex-snapshot
Detection of chocolate powder adulteration with peanut using near-infrared hyperspectral imaging and Multivariate Curve Resolution
inferred← citeshttps://doi.org/10.1016/j.fuel.2017.08.072openalex-snapshot
MCR-ALS and PLS coupled to NIR/MIR spectroscopies for quantification and identification of adulterant in biodiesel-diesel blends
inferred← citeshttps://doi.org/10.1016/j.fuel.2020.119275openalex-snapshot
Monitoring biodiesel and its intermediates in transesterification reactions with multivariate curve resolution alternating least squares calibration models
inferred← citeshttps://doi.org/10.1016/j.gca.2013.05.001openalex-snapshot
The fate of river organic carbon in coastal areas: A study in the Rhône River delta using multiple isotopic (δ 13 C, Δ 14 C) and organic tracers
inferred← citeshttps://doi.org/10.1016/j.ijpharm.2014.06.061openalex-snapshot
Modeling strategies for pharmaceutical blend monitoring and end-point determination by near-infrared spectroscopy
inferred← citeshttps://doi.org/10.1016/j.indcrop.2024.119865openalex-snapshot
Microscopic spatiotemporal changes in cell wall cellulose and pectin during Nicotiana tabacum L. leaf growth and senescence based on label-free Raman microspectroscopic imaging combined with multivariate curve resolution
inferred← citeshttps://doi.org/10.1016/j.jag.2014.08.009openalex-snapshot
Reducing background effects in orchards through spectral vegetation index correction
inferred← citeshttps://doi.org/10.1016/j.jelechem.2004.03.034openalex-snapshot
Use of multivariate curve resolution analysis in the spectroelectrochemistry of 9,10-anthraquinone reduction in dimethylformamide solution
inferred← citeshttps://doi.org/10.1016/j.jmr.2014.09.013openalex-snapshot
New chemometric approach MCR-ALS to unmix EPR spectroscopic data from complex mixtures
inferred← citeshttps://doi.org/10.1016/j.jpba.2017.06.017openalex-snapshot
Characterization of pharmaceutically relevant materials at the solid state employing chemometrics methods
inferred← citeshttps://doi.org/10.1016/j.jpba.2019.112965openalex-snapshot
Why should the pharmaceutical industry claim for the implementation of second-order chemometric models—A critical review
inferred← citeshttps://doi.org/10.1016/j.jphotochem.2022.114096openalex-snapshot
Assessment of key processes that govern the degradation of mixtures in photo-Fenton systems
inferred← citeshttps://doi.org/10.1016/j.microc.2014.07.010openalex-snapshot
A non-target chemometric strategy applied to UPLC-MS sphingolipid analysis of a cell line exposed to chlorpyrifos pesticide: A feasibility study
inferred← citeshttps://doi.org/10.1016/j.microc.2014.10.001openalex-snapshot
Independent component analysis and multivariate curve resolution to improve spectral interpretation of complex spectroscopic data sets: Application to infrared spectra of marine organic matter aggregates
inferred← citeshttps://doi.org/10.1016/j.microc.2018.06.017openalex-snapshot
Gaussian apodization factor analysis for resolution of the embedded peaks in real complicated chromatographic datasets
inferred← citeshttps://doi.org/10.1016/j.microc.2020.105177openalex-snapshot
MCR-ALS of voltammetric data for the study of environmentally relevant substances
inferred← citeshttps://doi.org/10.1016/j.microc.2020.105738openalex-snapshot
Balanced scaling as a pretreatment step in Multivariate Curve Resolution analysis of noisy data
inferred← citeshttps://doi.org/10.1016/j.microc.2020.105907openalex-snapshot
Recent advances in air pollution mixture resolutions
inferred← citeshttps://doi.org/10.1016/j.microc.2025.115697openalex-snapshot
Comprehensive chemometric and machine learning methods for determination of synthetic dyes adulteration in ceylon tea via NIR spectroscopy and hyperspectral imaging
inferred← citeshttps://doi.org/10.1016/j.microc.2026.117640openalex-snapshot
Label-free Raman microspectroscopic cellular imaging and untargeted UPLC-HRMS metabolomics of apple branch canker progression based on chemometrics and machine learning
inferred← citeshttps://doi.org/10.1016/j.molliq.2015.05.033openalex-snapshot
Microheterogeneity in binary mixtures of propyl alcohols with water: NIR spectroscopic, two-dimensional correlation and multivariate curve resolution study
inferred← citeshttps://doi.org/10.1016/j.molliq.2018.12.131openalex-snapshot
Tracking small heterogeneity in binary mixtures of aliphatic and aromatic hydrocarbons: NIR spectroscopic, 2DCOS and MCR-ALS studies
inferred← citeshttps://doi.org/10.1016/j.molliq.2025.127302openalex-snapshot
Influence of five protic and aprotic ionic liquids as anti-crystallization additives of water/lithium bromide on the solid–liquid equilibrium
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