2020
DOI: 10.1016/j.chroma.2019.460565
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Model-based selection of the degree of cross-linking of cation exchanger resins for an optimised separation of monosaccharides

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Cited by 5 publications
(5 citation statements)
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“…Its predictive capabilities have been confirmed to be in line with several prior studies [6][7][8][9]. The model comprises cumulative, convective, and axial dispersion equations based on mass balance equations for the mobile phase and solid phase, respectively [10].…”
Section: Introductionsupporting
confidence: 69%
“…Its predictive capabilities have been confirmed to be in line with several prior studies [6][7][8][9]. The model comprises cumulative, convective, and axial dispersion equations based on mass balance equations for the mobile phase and solid phase, respectively [10].…”
Section: Introductionsupporting
confidence: 69%
“…Moreover, the CER in particular Amberlite is usually applied for sugar decolorization in the sugar industry. 26,31 To our knowledge, there is paucity of information on how to separate and purify xylose, glucose, and arabinose from the lignocellulosic hydrolysate. Besides, the design of industrialscale chromatographic separation to be integrated into the biorefinery process begins with the selection of a suitable adsorbent material and understanding the thermodynamic properties and kinetic adsorption.…”
Section: Introductionmentioning
confidence: 99%
“…The deficiency in understanding the mechanism of monosaccharides obtained from the hydrothermal process persists. Moreover, the CER in particular Amberlite is usually applied for sugar decolorization in the sugar industry. , …”
Section: Introductionmentioning
confidence: 99%
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“…In terms of simulating mobile bed optimization, Leibnitz et al proposed a modelbased optimization approach for the selection of an adsorbent in mobile bed processes. The method utilizes correlations between the structural properties of the adsorbent and the model parameters of a transport dispersive model [15]. Schulze et al introduced the transient nonlinear wave propagation model (TWPM) for the dynamic modeling of multicomponent distillation columns with variable holdup.…”
Section: Introductionmentioning
confidence: 99%