Electronic nose (E-Nose) technology was applied in this study to detect the aroma profile of abdomen, claw, leg meat and spawn of Eriocheir sinensis, which were farmed in Yangcheng Lake, Songjiang and Chongming region within different grades. Results showed that the aroma profile of four edible parts of Yangcheng-Lake-crabs in three grades (special, first and second) could be distinguished well. Soft independent modeling of class analogy (SIMCA) method was applied to establish the recognizing model of Yangcheng-Lake-crabs either on one single part or on multi-ple parts. By a comparison, the model based on multiple parts turned out to be more effective. Rejection ratio of none-Yangcheng-Lake-crabs reached 100 percent. Meanwhile, a partial least squares regression (PLSR) model was also developed to evaluate the correlation between E-Nose responses and grade scores of Eriocheir sinensis. Correlation coefficient was 0.96, manifesting the PLSR model was able to predict grade scores of unknown crab samples.%采用电子鼻对阳澄湖、松江、崇明的不同等级中华绒螯蟹(Eriocheir sinensis)各可食部位香气轮廓进行了检测。特级、1级、2级阳澄湖中华绒螯蟹体肉、钳肉、足肉、性腺4部位香气轮廓区分显著。采用软独立建模的方法,分别建立了基于单部位及联合多部位的阳澄湖中华绒螯蟹产地鉴别模型,结果表明应用联合多部位模型,对非阳澄湖蟹的识别率达到100%。采用偏最小二乘回归法建立了电子鼻响应信号与中华绒螯蟹等级评分的回归模型,相关系数为0.96,表明基于此模型可判定中华绒螯蟹蟹样等级。
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