The packed structure, such as packing density and particle size distribution, of COREX shaft furnace, directly affects the gas flow and reaction process. A two-dimensional steady-state mathematical model was developed to study the influence of five packed structures on the gas flow, pressure distribution, species composition, and solid metallization rate in a COREX shaft furnace with center gas supply. The results show that the gas velocity is relatively uniform along the radial direction under Case-P. Under Case-InV and Case-V, the gas velocity increases and decreases gradually from the center to the wall zone respectively. The gas velocity contour in the upper part of the shaft in Case-M is ‘M’ shape, while it shows ‘W’ shape in Case-W. The order of pressure drop under five packed structures is Case-P > Case-M > Case-W > Case-InV > Case-V, and for the solid metallization rate, the order is Case-V > Case-W > Case-P > Case-M > Case- InV. As Case-V has the lowest pressure drop and largest metallization rate, the charging matrix in practical production should develop towards a ‘V’ shaped burden profile in the upper of the packed bed in the COREX shaft furnace.
Introducing aggregation‐induced emission luminogens (AIEgens) to fluorescence sensors will endow them with outstanding luminescence properties in aggregated state or solid state, which is an effective strategy for developing polymer‐based fluorescence sensors. Herein, a novel fluorescence sensor of TPE‐A‐MIPs was developed by introducing an AIEgen as the fluorescence signal part into molecularly imprinted polymers (MIPs). MIPs in this sensor served as a polymeric artificial receptor to Rhodamine B (RhB), which offered high selectivity. TPE‐A‐MIPs also showed excellent sensitivity with ratiometric fluorescence response to RhB. A detection limit of 1.41 μmol/L with the linear range in 0.0‐10.0 μmol/L was obtained. Furthermore, TPE‐A‐MIPs was successfully applied in detecting RhB in real food samples with satisfactory recoveries and relative standard deviations. This work not only demonstrated the feasibility of introducing AIEgens into MIPs to develop fluorescence sensors, but also greatly expanded the potential applications of AIEgens and MIPs in the field of fluorescence detection.
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