an integrative model of beet juice-based productions of amino acids using ion chromatography technique and high-amino acid beet pulp with sugar manufacturing

To investigate the impact of the different geometry and physical conditions parameters on the industrial process of amino acids recovery from sugar beet thin juice (tj), several techniques such as computational fluid dynamics and scale-down approaches have been applied. process modeling can support the design and optimization of all these processes. the model, considering the process operative parameters and process stoichiometry, using the data from the egypt beet sugar industry, gives an estimation of the process efficiency, product quality, selectivity as well and the condition for an optimal yield. combining the results obtained by the model with the data obtained by the scale-down devices, the optimal process configuration and all requirements of the fluid sugar were simultaneously identified in an early phase of development for the subsequent processes of sugar manufacturing. in this case, the choice of an ion exchanger is associated with the development of a method for extracting an amino acid based on the study of the dynamic patterns of sorption and desorption, depending on several factors. these include the shape of the ion exchanger, the degree of its granulation and cross-linking; parameters of ion-exchange columns; flow rate and temperature of working solutions; and efficiency of the eluent. furthermore, to maximize the utilization of the amino acids extract was added to the sugar beet pulp (sbp) to produce high amino acid beet pulp (habp) with a high nutritional value and subsequently high marketing value. the results of this paper provide useful information for the design and modeling of beet juice-based production of amino acids integrated with beet processing for sugar production.