Bees metaheuristic algorithm with the aid of artificial neural networks for optimization of acid red 27 dye adsorption onto novel polypyrrole/SrFe12O19/graphene oxide nanocomposite

Data Science Applied to Carbon Materials: Synthesis, Characterization, and Applications

“…In this sense, many reports study the relation between water treatment and the conditions of the solutions such as solute concentration, carbon material concentration, temperature, trans‐membrane pressure, and others. [ 60,61,66,67,70,84 ] ML models can be developed according to the carbon content and water conditions to determine the removal efficiency. The adsorption capacity of dyes (Rose Bengal, safranin, malachite green, methyl orange, Acid Blue 9, Allura Red, methylene blue, brilliant green, and AR27), [ 60,66,67,70,84 ] metal ions (copper and mercury), [ 69,71 ] and antibiotics ( Figure a) [ 68 ] in carbon‐based materials and composites have been predicted.…”

“…[ 60,61,66,67,70,84 ] ML models can be developed according to the carbon content and water conditions to determine the removal efficiency. The adsorption capacity of dyes (Rose Bengal, safranin, malachite green, methyl orange, Acid Blue 9, Allura Red, methylene blue, brilliant green, and AR27), [ 60,66,67,70,84 ] metal ions (copper and mercury), [ 69,71 ] and antibiotics ( Figure a) [ 68 ] in carbon‐based materials and composites have been predicted. The most common features used in these models were the initial concentration of dye, adsorbent dosage, pH, and contact time between the dye and the adsorbent.…”

“…Trained ANN models have been combined with particle swarm optimization and bees algorithm to maximize the adsorption of dyes according to the contact time, dye concentration, stirrer speed, pH, among others. [ 67,70 ] For example, an ANN was trained to predict the removal percentage of AR27 from water with a polypyrrole/SrFe 12 O 19 /GO nanocomposite using adsorbent dosage, initial concentration, pH, contact time, and shaking rate as features. Then, the ANN was used as a target function to find the optimal conditions for dye removal using the bees algorithm.…”

“…The optimal conditions were performed experimentally with an adsorption capacity of 294 mg g −1 , a higher value than those reported in the literature. [ 70 ]…”