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parallel factor analysis (parafac) multivariate modeling  (Dynacom Co)

 
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    Dynacom Co parallel factor analysis (parafac) multivariate modeling
    Parallel Factor Analysis (Parafac) Multivariate Modeling, supplied by Dynacom Co, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/parafac/parallel+factor+analysis++parafac++multivariate+modeling/pm34425433-81-5-11
    Average 90 stars, based on 1 article reviews
    parallel factor analysis (parafac) multivariate modeling - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Efficacy and cytotoxicity of engineered ferromanganese-bearing sludge-derived biochar for percarbonate-induced phthalate ester degradation.
    Article Snippet: Phthalate esters (PAEs) are a group of ubiquitous organic environmental contaminants.. Engineered ferromanganese-bearing sludge-derived biochar (SDB), synthesized using one-step pyrolysis in the temperature range between 300 and 900 C, was used to enable Fenton-like processes that decontaminated PAE-laden sediments.. SDB was thoroughly characterized using scanning electron microscopy–energy-dispersive spectroscopy, transmission electron microscopy, Brunauer–Emmett–Teller surface area, thermogravimetric analysis, Raman spectroscopy, Fourier-transform infrared spectroscopy, electron paramagnetic resonance, X-ray photoelectron spectroscopy, and fluorescence excitation–emission matrix spectroscopy coupled with parallel factor analysis.



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    The florescent components resolved by the PARAFAC analyses and its excitation and emission wavelengths: ( a ) WSOC (C1–C4) and ( b ) MSOC (C1–C3).

    Journal: Toxics

    Article Title: Optical Properties and Molecular Composition of Fine Organic Aerosols in Nanjing, China: A Comparison of 2019 and 2023

    doi: 10.3390/toxics13060443

    Figure Lengend Snippet: The florescent components resolved by the PARAFAC analyses and its excitation and emission wavelengths: ( a ) WSOC (C1–C4) and ( b ) MSOC (C1–C3).

    Article Snippet: Then, the fluorescence data were processed using the PARAFAC model and drEEM toolbox (version 0.6.5, MATLAB R2018a) [ ].

    Techniques:

    Characteristics of the DOM. (a) Excitation-emission matrix (EEM) contour plots of the four fluorescent components (C1 to C4) identified by PARAFAC; (b) Loadings of the four fluorescent components (C1 to C4) identified by PARAFAC; (c) Percentage of DOM components in the overlying waters; (d) Percentage of DOM components in the sediments. (C1, terrestrial humic-like component; C2, microbial humic-like component; C3, tyrosine-like component; C4, tryptophan-like component).

    Journal: Frontiers in Microbiology

    Article Title: Response of dissolved organic matter and bacterial community to anthropogenic disturbances in a plateau lake

    doi: 10.3389/fmicb.2025.1554202

    Figure Lengend Snippet: Characteristics of the DOM. (a) Excitation-emission matrix (EEM) contour plots of the four fluorescent components (C1 to C4) identified by PARAFAC; (b) Loadings of the four fluorescent components (C1 to C4) identified by PARAFAC; (c) Percentage of DOM components in the overlying waters; (d) Percentage of DOM components in the sediments. (C1, terrestrial humic-like component; C2, microbial humic-like component; C3, tyrosine-like component; C4, tryptophan-like component).

    Article Snippet: The Parallel Factor analysis (PARAFAC) was performed in MATLAB R2024a using the “drEEM” toolbox ( ).

    Techniques: