This study focuses on the development of an efficient membrane-based clarification process to enhance the performance of subsequent ultrafiltration and produce high-quality sweet lime juice. A range of casting solutions were prepared using a blend of pore-forming polymers, including polyvinylpyrrolidone (PVP), polyvinylidene fluoride (PVDF), and cellulose acetate (CA), dissolved in dimethylformamide (DMF) solvent through the phase inversion technique. To further enhance the membrane's performance, four biopolymers poly (lactic acid) (PLA), xanthan gum, chitosan, and gelatin were incorporated, with and without clay, to refine its structure, porosity, and surface properties. The resulting membranes were characterized by FT-IR, SEM, and AFM, and their flux behaviour and fouling profiles were evaluated. The quality of the clarified juice was assessed by measuring total suspended solids (TSS), clarity, color, and apparent alcohol insoluble solids (AIS). Despite a reduction in permeate flux, the Xanthan-clay-loaded membrane enhanced juice quality and clarity. For the PLA-based membrane and the xanthan-based membrane, the fouling coefficient was lower. This membrane-based clarification technique can be applied effectively in the juice processing industries to improve product quality.
In smart antenna applications, the adaptive beamforming technique is used to cancel interfering signals (placing nulls) and produce or steer a strong beam toward the target signal according to the calculated weight vectors. Minimum variance distortionless response (MVDR) beamforming is capable of determining the weight vectors for beam steering; however, its nulling level on the interference sources remains unsatisfactory. Beamforming can be considered as an optimization problem, such that optimal weight vector should be obtained through computation. Hence, in this paper, a new dynamic mutated artificial immune system (DM-AIS) is proposed to enhance MVDR beamforming for controlling the null steering of interference and increase the signal to interference noise ratio (SINR) for wanted signals.