The aim was to establish a rapid discrimination method of Muscat grape during storage based on the electronic nose technology. Samples of different storage time stored in 10, 0 ℃ were detected using PEN3 electronic nose system, operating loadings contribution rate analysis of sensors, principal component analysis, linear discriminant analysis to distinguish the storage period, establishing of the discriminant model, and then compared the prediction power of Mahalanobis distance, Euclidean distance, correlation, discriminant function analysis method by unknown samples. At the same time, the rate of good fruit, soluble solids content, total acid content, VC content, hardness index were measured to reflect the changes of quality during storage. The results showed that the quality changes of Muscat grape during storage obeyed certain regularity, different pattern recognition method of electronic noses could distinguish different storage periods of samples effectively, application of discriminant function discriminant analysis to predict unknown samples got the highest correct rate, reaching 95%. Therefore, discriminant of Muscat grape storage period using electronic nose is feasible.

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[1] 张福庆,李巍,田卫东,等. 玫瑰香葡萄品种特性与汉沽产地分析[J].中外葡萄与葡萄酒,2007(5):39~42.
[2] 冯青.电子鼻系统在水果贮藏中的应用[J].产业与科技论坛,2012(12):78.
[3] Amy Loutfi, Silvia Coradeschi, Ganesh Kumar Mani, et al. Electronic noses for food quality[J].Journal of Food Engineering, 2015,144:103~111.
[4] 王伟,柴春祥,鲁晓翔,等. 无损检测技术在虾鲜度评定中的应用[J]. 食品与机械,2013,29(4):233~236.
[5] Brezmes J, Llobet E, Vilanova X, et al. Fruit ripeness monitoring using an electronic nose[J]. Sensors and Actuators B, 2000, 69(3): 223~229.
[6] Antihus Hernández Gómez, Wang Jun, Hu Gui-xian, et al. Discrimination of storage shelf-life for mandarin by electronic nose technique[J].Food Science and Technology, 2007,40(4):681~689.
[7] 马淑凤,王周平,丁占生,等.应用电子鼻技术对水蜜桃储藏期内品质变化的研究[J].食品与生物技术学报,2010,29(3):390~394.
[8] 宋小青,任亚梅,张艳宜,等. 电子鼻对低温贮藏猕猴桃品质的预测[J].食品科学,2014,35(20):230~235.
[9] Hui Guo-hua, Jin Jiao-jiao, Deng Shang-gui, et al.Winter jujube (Zizyphus jujuba Mill.) quality forecasting method based on electronic nose [J].Food Chemistry, 2015,170(1):484~491.
[10] 朱娜,潘磊庆,邬慧颖,等. 基于电子鼻检测‘霞晖5号’桃果实的冷害[J]. 食品科学,2014, 35(4):95~100.
[11] 周亦斌,王俊.基于电子鼻的番茄成熟度及贮藏时间评价的研究[J].农业工程学报,2005,21(4):113~117.
[12] 费雅君,白雪,康小红. LDA优化电子鼻传感器阵列的研究[J]. 食品与机械,2012,28(1):97~100.
[13] 张鹏,李江阔,陈绍慧.气质联用和电子鼻对1-MCP不同处理时期苹果检测分析[J].食品与发酵工业,2014,40(9):144~151.
[14] 赵梦田,杜佳苏,黄洁,等. 基于电子鼻的库尔勒香梨品质区分方法研究[J].中国食品学报,2014,14(3):225~228.
[15] 李军.钼蓝比色法测定还原型维生素C[J].食品科学,2000,21(8):42~45.
[16] 李志文,张平,王罡,等. 1-MCP处理对乍娜葡萄常温货架期保鲜效果的研究[J].保鲜与加工,2012,12(3):6~10.
[17] 胡桂仙,王俊,王小骊.电子鼻无损检测柑橘成熟度的实验研究[J].食品与发酵工业,2005,31(8):57~61.
[18] 周建梅. 鲜食葡萄香气物质的组成和代谢调控[D].泰安:山东农业大学,2013.
[19] Ravikumar B, Eisman G.Weak minimization of DFA-an algorithm and applications[J].Theoretical Computer Science, 2004, 328(29):113~133.



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