Du Dongdong, Xu Min, Wang Jun, Gu Shuang, Zhu Luyi, Hong Xuezhen
College of Biosystems Engineering and Food Science, Zhejiang University Hangzhou 310058 PR China
Key Laboratory of On Site Processing Equipment for Agricultural Products, Ministry of Agriculture and Rural Affairs Hangzhou 310058 PR China.
RSC Adv. 2019 Jul 8;9(37):21164-21174. doi: 10.1039/c9ra03506k. eCollection 2019 Jul 5.
'Hongyang' kiwifruit is a new breed of red-fleshed cultivar that has become broadly popular with consumers in recent years. In this study, the internal quality and aroma of this kiwifruit during ripening were investigated by means of gas chromatography-mass spectrometry (GC-MS) and electronic nose (E-nose). Results showed that the green note aldehydes declined, the main fruity esters increased, and the terpenes had no obvious changes during ripening. Correlations between quality indices, volatile compounds, and E-nose data were analyzed by ANOVA partial least squares regression (APLSR), and the results showed that firmness and titratable acidity (TA) had highly positive correlations with ()-2-hexenal and hexanal, while soluble solids content (SSC) and SSC/TA ratio had positive correlations with ester compounds. The E-nose sensors of S7, S10, S8, S6, S9, and S2 were positively correlated with ester compounds, S1, S3, and S5 were mainly correlated with hexanal, and S4 was correlated with terpene compounds. Partial least squares regression (PLSR) and support vector machine (SVM) were employed to predict the quality indices by E-nose data, and SVM presented a better performance in predicting firmness, SSC, TA, and SSC/TA ratio ( > 0.98 in the training set and > 0.94 in the testing set). This study demonstrated that the E-nose technique could be used as an alternative to trace the flavor quality of kiwifruit during ripening.
“红阳”猕猴桃是一种红肉新品种,近年来在消费者中广受欢迎。本研究采用气相色谱 - 质谱联用(GC - MS)和电子鼻(E - nose)对该猕猴桃成熟过程中的内在品质和香气进行了研究。结果表明,在成熟过程中,绿色调醛类物质含量下降,主要果香酯类物质增加,萜类物质无明显变化。通过方差分析偏最小二乘回归(APLSR)分析了品质指标、挥发性化合物和电子鼻数据之间的相关性,结果表明硬度和可滴定酸度(TA)与()-2 - 己烯醛和己醛呈高度正相关,而可溶性固形物含量(SSC)和SSC/TA比值与酯类化合物呈正相关。电子鼻的S7、S10、S8、S6、S9和S2传感器与酯类化合物呈正相关,S1、S3和S5主要与己醛相关,S4与萜类化合物相关。采用偏最小二乘回归(PLSR)和支持向量机(SVM)通过电子鼻数据预测品质指标,SVM在预测硬度、SSC、TA和SSC/TA比值方面表现更好(训练集 >0.98,测试集 >0.94)。本研究表明,电子鼻技术可作为一种替代方法来追踪猕猴桃成熟过程中的风味品质。