title: Multivariate statistical analysis and optimization of ultrasound-assisted extraction of natural pigments from waste red beet stalks.
abstract: In this study, ultrasound-assisted extraction (UAE) of natural pigment extraction from waste red beet stalks were optimized under four factors (extraction temperature, ultrasonic power, extraction time and solid-liquid ratio) by using three level Box-Behnken response surface design. Extraction temperature, ultrasonic power and solid-liquid ratio were significantly influenced the extraction yield of pigments. Extraction temperature of 53 °C, ultrasonic power of 89 w, extraction time of 35 min and SL ratio of 1:19 g/ml was identified as the optimal condition. Under this condition, the actual yield of (betacyanin of 1.28 ± 0.02 and betaxanthin of 5.31 ± 0.09 mg/g) pigments was well correlated with predicted values (betacyanin was 1.29 mg/g and betaxanthin was 5.32 mg/g).
authors.affiliation: Department of Food Technology, Kongu Engineering College, Perundurai, Erode, 638052 Tamil Nadu India.
authors.forename: J Prakash
authors.initials: JP
authors.lastname: Maran
authors.affiliation: Department of Food Process Engineering, SRM University, SRM Nagar, Kattankulathur, Chennai, 603203 Tamil Nadu India.
authors.forename: B
authors.initials: B
authors.lastname: Priya
keywords: Box-Behnken design; Extraction; Natural pigment; Optimization