title: Process optimization of ultrasound-assisted alcoholic-alkaline treatment for granular cold water swelling starches.
abstract: This paper reports on the process optimization of ultrasonic assisted alcoholic-alkaline treatment to prepare granular cold water swelling (GCWS) starches. In this work, three statistical approaches such as Plackett-Burman, steepest ascent path analysis and Box-Behnken design were successfully combined to investigate the effects of major treatment process variables including starch concentration, ethanol volume fraction, sodium hydroxide dosage, ultrasonic power and treatment time, and drying operation, that is, vacuum degree and drying time on cold-water solubility. Results revealed that ethanol volume fraction, sodium hydroxide dosage, applied power and ultrasonic treatment time were significant factors that affected the cold-water solubility of GCWS starches. The maximum cold-water solubility was obtained when treated at 400W of applied power for 27.38min. Optimum volume fraction of ethanol and sodium hydroxide dosage were 66.85% and 53.76mL, respectively. The theoretical values (93.87%) and the observed values (93.87%) were in reasonably good agreement and the deviation was less than 1%. Verification and repeated trial results indicated that the ultrasound-assisted alcoholic-alkaline treatment could be successfully used for the preparation of granular cold water swelling starches at room temperatures and had excellent improvement on the cold-water solubility of GCWS starches.
authors: School of Textiles and Clothing, Jiangnan University, Wuxi, China. Electronic address: zzbb929@163.com.
authors: Bo
authors: B
authors: Zhu
authors: School of Textiles and Clothing, Jiangnan University, Wuxi, China. Electronic address: 375132167@qq.com.
authors: Jianli
authors: J
authors: Liu
authors: School of Textiles and Clothing, Jiangnan University, Wuxi, China. Electronic address: gaowd3@163.com.
authors: Weidong
authors: W
authors: Gao
keywords: Cold-water solubility; Granular cold water swelling starches; Process optimization; Response surface method; Ultrasonic-assisted