摘要
以"富士"苹果为试材,利用电子鼻对1-MCP常温不同处理时间内的苹果挥发性成分进行检测分析,通过电子鼻系统动态采集苹果挥发性成分并得到电子鼻的响应值,并用PCA和LDA模式判别方法进行数据分析。结果表明:PCA方法能够区分贮后相同货架期内1-MCP处理组和对照组,但对1-MCP不同处理组间区分效果不理想。LDA方法可以准确地对贮后相同货架期内所有处理的苹果进行判别区分。Loadings分析表明,传感器2、6、7、8、9在1-MCP常温不同处理时间的苹果电子鼻判别中发挥着主要作用。因此,利用电子鼻可以实现1-MCP常温不同处理时间苹果的判别区分,且LDA方法优于PCA方法。
Taking ＇Fuji＇ apple as test materials,the aroma composition in ＇Fuji＇ apples with 1-MCP at different treatment times under ambient temperature was detected by electronic nose. Dynamic aroma sampling was achieved by electronic nose and response values of the instrument were obtained. It was followed by data analysis using principal component analysis （PCA） and linear discrimination analysis（LDA）. The results showed that the use of PCA was able to discriminate apples on 1-MCP treatment group and control group at the same shelf life after cold storage, but distinguishing effect of apples between different treatment groups of 1-MCP was undesirability. The use of LDA was able to exactly discriminate apples among all treatment groups at the same shelf life after cold storage. Loading analysis indicated that sensors of 2,6,7,8 and 9 played important roles in apples with 1-MCP at different treatment time under ambient temperature. Therefore, discriminant of apples with 1-MCP at different treatment time under ambient temperature by electronic nose was possible,and LDA was better than PCA.
出处
《北方园艺》
CAS
北大核心
2015年第12期119-124,共6页
Northern Horticulture
基金
国家"十二五"科技支撑计划资助项目(2012BAD38B01)
关键词
苹果
电子鼻
判别分析
1-MCP
处理时间
apple
electronic nose
discriminant analysis
1-methylcyclopropene
treatment time
