Pakalapati Harshini, Arumugasamy Senthil Kumar, Jewaratnam Jegalakshimi, Wong Yong Jie, Khalid Mohammad
Department of Chemical and Environmental Engineering, Faculty of Engineering, University of Nottingham Malaysia Campus, Semenyih, Selangor, Malaysia.
Department of Chemical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia.
Biopolymers. 2018 Dec;109(12):e23240. doi: 10.1002/bip.23240. Epub 2018 Nov 29.
A statistical approach with D-optimal design was used to optimize the process parameters for polycaprolactone (PCL) synthesis. The variables selected were temperature (50°C-110°C), time (1-7 h), mixing speed (50-500 rpm) and monomer/solvent ratio (1:1-1:6). Molecular weight was chosen as response and was determined using matrix-assisted laser desorption/ionization time of flight (MALDI TOF). Using the D-optimal method in design of experiments, the interactions between parameters and responses were analysed and validated. The results show a good agreement with a minimum error between the actual and predicted values.
采用具有D-最优设计的统计方法来优化聚己内酯（PCL）合成的工艺参数。选择的变量有温度（50°C - 110°C）、时间（1 - 7小时）、搅拌速度（50 - 500转/分钟）和单体/溶剂比（1:1 - 1:6）。选择分子量作为响应变量，并使用基质辅助激光解吸/电离飞行时间（MALDI TOF）进行测定。在实验设计中使用D-最优方法，分析并验证了参数与响应之间的相互作用。结果表明，实际值与预测值之间的误差最小，吻合度良好。
