基于BP神经网络和遗传算法的库尔勒香梨挥发性物质萃取条件的优化

张芳,未志胜,王鹏,李凯旋,詹萍,田洪磊

Using Neural Network Coupled Genetic Algorithm to Optimize the SPME Conditions of Volatile Compounds in Korla Pear

ZHANG Fang,WEI ZhiSheng,WANG Peng,LI KaiXuan,ZHAN Ping,TIAN HongLei

表1 中央复合试验设计及结果

Table 1 Central composite experimental design and its results

序列 Sequence 样品量 Sample amount (g) 萃取温度 Extraction temperature (℃) 萃取时间 Extraction time (min) 盐添加量 Salt addition (g) 试验值 Experimental value (μg?g-1) 1 4 40 20 0.4 2.24 2 8 40 20 0.4 2.02 3 4 50 20 0.4 2.25 4 8 50 20 0.4 1.20 5 4 40 40 0.4 2.75 6 8 40 40 0.4 2.54 7 4 50 40 0.4 2.52 8 8 50 40 0.4 2.21 9 4 40 20 1.2 1.87 10 8 40 20 1.2 2.18 11 4 50 20 1.2 2.52 12 8 50 20 1.2 1.10 13 4 40 40 1.2 1.45 14 8 40 40 1.2 2.46 15 4 50 40 1.2 2.15 16 8 50 40 1.2 1.41 17 6 45 30 0.8 2.30 18 6 45 30 0.8 2.26 19 6 45 30 0.8 2.12 20 6 45 30 0.8 1.60 21 2 45 30 0.8 1.16 22 10 45 30 0.8 2.05 23 6 35 30 0.8 2.49 24 6 55 30 0.8 1.69 25 6 45 10 0.8 3.00 26 6 45 50 0.8 3.19 27 6 45 30 0 3.34 28 6 45 30 1.6 3.22 29 6 45 30 0.8 3.57 30 6 45 30 0.8 3.27