Central composite design (CCD) and artificial neural network-based Levenberg-Marquardt algorithm (ANN-LMA) for the extraction of Lanasyn Black by cloud point extraction

The Lanasyn Black is among the most often used in manufacturing and is challenging to take out during wastewater treatment was acquired in the textile industry. Cloud point extraction was used for their elimination in an aqueous solution. The multivariable process parameters have been independently optimized using central composite design and Levenberg-Marquardt algorithm-based artificial neural network for the highest yield of the extraction of Lanasyn Black via cloud point extraction. The CCD forecasts the output maximum of 97.01% under slightly altered process parameters. Still, the ANN-LMA model predicts the extraction yield (99.98%) using an amount of KNO3 =1.04 g, beginning pH of solution=8.99, initial of Lanasyn Black 24.57 ppm, and 0.34 W/W of Triton X-100. With coefficients of determination of 0.997 and 0.9777, the most recent empirical verification of the model mentioned above's predictions using CCD and ANN-LMA is determined to be satisfactory.