Segmented modelling and analysis of disperse dye concentration based on multidimensional spectrum / Jianxin Zhang in COLORATION TECHNOLOGY, Vol. 140, N° 2 (04/2024)  

[article]  inCOLORATION TECHNOLOGY > Vol. 140, N° 2 (04/2024) . - p. 287-299 Titre : Segmented modelling and analysis of disperse dye concentration based on multidimensional spectrum Type de document : texte imprimé Auteurs : Jianxin Zhang, Auteur ; Xuejiao Huang, Auteur ; Huayan Zheng, Auteur ; Miao Qian, Auteur Année de publication : 2024 Article en page(s) : p. 287-299 Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Analyse quantitative (chimie) Analyse spectrale Colorants -- Analyse Colorants -- Concentration Colorants dispersés Catégorie de colorants très peu solubles dans l'eau, utilisés à l'origine comme colorants pour l'acétate, et qui généralement sont appliqués sous forme de suspensions aqueuses de faible concentration.Les colorants dispersés sont largement utilisés dans la teinture de la plupart des fibres manufacturées, surtout le polyester. Index. décimale : 667.2 Colorants et pigments Résumé : Since the water-insoluble dispersing dye has both absorption and scattering characteristics, a spatial resolution hyperspectral measurement approach and experimental testing was proposed in this article, which can collect spectral and spatial data from samples simultaneously. The concentration of 81 groups of three-component disperse dye samples were measured. However, the hyperspectral data of dye solutions in the 420–800 nm band is saturated, resulting in the inability for multispectral data processing. A segmented concentration quantitative analysis model was developed. For the unsaturated band (420–510 nm), the partial least squares (PLS), the N-way partial least squares (NPLS), and support vector machine (SVM) models using the data points on the X-axis of a two-dimensional light intensity distribution map were established. The predicted performance of PLS model was worse slightly than that of the other two models, The coefficient of determination (R2) values of concentrations for red, orange and blue disperse dye were 0.888, 0.796 and 0.959, respectively. For saturated band (520–670 nm), the NPLS and SVM models using the data points on the X- and Y-axis were established. Results shows that the prediction accuracy of concentrations of the three-component disperse dye was increased by adding additional data points on the Y-axis, with R2 values of 0.944, 0.807, and 0.912, respectively. For the strong scattering band (680–800 nm), a SVM model was established, and R2 of concentration of the three dyes reached 0.974, 0.933 and 0.995, respectively. The results showed that multidimensional spectroscopy method can improve the prediction accuracy of component concentration of disperse dye solution, by using more spectral information from X and Y directions. Note de contenu : - PRINCIPLE AND METHOD : Spatial resolution spectroscopy - Hyperspectral imaging-based spatially resolved spectroscopy acquisition system - Diffusion inversion principle - Least square support vector machine - N-way partial least squares - Quantitative model performance evaluation index - EXPERIMENT : Experimental scheme - Experimental results - ANALYSIS AND PROCESSING OF EXPERIMENTAL DATA : Hyperspectral image feature analysis - Data preprocessing - Dimension reduction of hyperspectral data - Hyperspectral data modelling DOI : https://doi.org/10.1111/cote.12714 En ligne : https://drive.google.com/file/d/1GABFkG4hc667KfNZ3rKUI_qFWe8E8qLJ/view?usp=drive [...] Format de la ressource électronique : Pdf Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=40945 [article]

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