Abstract
Prediction of Substance Concentration in Simulated Moving Bed by Ultraviolet Sensor and Neural Network
Highlights
Chromatographic separation is an indispensable and important technology in the manufacture of chemical and biomedical products
To increase the production capacity, the precise and effective control of the multiple-column simulated moving bed (SMB) has always been a challenging problem.[5,6,7,8,9,10] the SMB is a very complex and nonlinear system; the current SMB mathematical model is only an approximate model and cannot fully represent the real dynamic behavior and state of the SMB’s actual operation.[11,12,13] the aim of this study is to find the actual separation process of an SMB and construct an effective SMB control mechanism
From the experimental results shown, it is clearly found that the substances of different concentrations have different light intensity responses under the different wavelengths of UV light
Summary
Chromatographic separation is an indispensable and important technology in the manufacture of chemical and biomedical products. The simulated moving bed (SMB) system is recognized as the most advanced and efficient chromatographic separation technology because of its continuous feeding capability. The multiple-column SMB system can be continuously switched at a fixed time, so that its inlet port and outlet port can be changed constantly. Such a characteristic of the SMB improves the efficiency of the adsorbent used in the adsorption bed, and reduces the consumption of solvent and water in the whole separation process.
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