Ultrasonic extraction of natural dye from Rubia Cordifolia, optimisation using response surface methodology (RSM) & amp; comparison with artificial neural network (ANN) model and its dyeing properties on different substrates

Publication date: April 2017 Source:Chemical Engineering and Processing: Process Intensification, Volume 114 Author(s): N. Vedaraman, K.V. Sandhya, N.R.B. Charukesh, B. Venkatakrishnan, K. Haribabu, M.R. Sridharan, R. Nagarajan Extraction of natural dye from the roots of Rubia Cordifolia by conventional extraction, as well as by using ultrasonic extraction, has been performed in this study. Process variables, namely ultrasonic frequency (25, 40, 58kHz), solid-to-liquid ratio (1:5, 1:10, 1:15) and extraction time (2, 2.5, 3h) were studied, and the optimum condition was determined using three-factor Central Composite Design (CCD). The optimum extraction condition obtained from CCD was 25kHz ultrasonic frequency, 1:15 solid-to-liquid ratio and extraction time of 3h. The experimental result obtained at the optimum condition is in good agreement with the predicted value. An Artificial Neural Network(ANN) model was also developed, and the predictions are compared with values obtained from Response Surface Methodology (RSM) model. The extracted compounds were identified using TLC and FT-IR Spectroscopy. The extracted dye was used for dyeing leather and cotton fabric along with different mordants to obtain different shades. Graphical abstract

Source: Chemical Engineering and Processing: Process Intensification - February 22, 2017 Category: Chemistry Source Type: research