Abstract
Basic and theoretical research on processes such as reverse osmosis (RO) is essential in the fermentation industry to improve production efficiency and reduce cost. Here, we focus on the RO concentration of glucose solutions. We constructed a mathematic model that incorporates various membrane and experimental parameters to characterize the mass transfer process of RO membrane and validated the model output with experimental data. Calculation results were highly consistent with the experimental data, demonstrating that this model can be useful for predicting the RO concentration process.
Highlights
We investigated the mass transfer glucose during the reverse osmosis (RO) process by carrying out a series of concentration experiments using glucose in a laboratory-scale RO system
With the results from these experiments, we developed a novel mathematical model that comprehensively reflects the effect of various parameters to characterize the mass transfer process of the RO membrane
A series of operation parameters were examined during this procedure, including glucose solution inlet flux (Qf, 28 × 10−6 m3 s−1 < Qf < 250 × 10−6 m3 s−1, obtained using a flowmeter), inlet concentration of glucose solution (Cf, 35 mol m−3 < Cf < 140 mol m−3, calculated), transmembrane pressure (△p, 300 kPa
Summary
We investigated the mass transfer glucose during the RO process by carrying out a series of concentration experiments using glucose in a laboratory-scale RO system. Polyamide membranes dominate RO market sales with a 91% share, with asymmetric CA hollow fiber membranes holding a distant second spot. The latter has superior chlorine resistance, the former has higher salt rejection and net pressure driving force [15]. E glucose model solutions were selected to carry out RO concentration experiments (Figure 1). In this experiment, the RO membrane remained unchanged. Samples were collected three times to obtain an average value under each experimental condition
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