关键词: 大球盖菇；干燥方式；顶空固相微萃取-气相色谱-质谱联用；风味成分；偏最小二乘回归；风味评价

Abstract: In order to explore the flavor composition profiles of fresh and dried Stropharia rugosoannulata and the key components determining its good flavor, the aroma and flavor components of fresh and dried samples prepared by four different drying methods, namely hot air drying (HAD), vacuum freeze drying (VFD), microwave drying (MWD), natural drying (ND) were analyzed. A total of 118 aroma compounds were detected. After drying, the aroma richness was significantly improved (P < 0.05), and VFD could retain the aroma quality of fresh mushroom to a large extent. Meanwhile, 19 aroma components common to all samples were found to constitute the characteristic component profile of S. rugosoannulata, among which the number and content of aldehydes were dominant, especially for n-hexanal (green aroma). The total amounts of soluble sugar and free amino acids in the HAD sample were significantly higher than those in the fresh sample, and the loss of flavor nucleotides in the VFD sample was least. Therefore, the two drying methods had significant advantages in equivalent umami concentration (EUC) (P < 0.05). The comprehensive sensory score for flavor was in the decreasing order of VFD > HAD > ND > fresh sample > MWD. A partial least squares regression model was established based on the sensory scores and the component data. The R2X, R2Y and Q2 of the first three principal components were 79.4%, 98.9%, and 0.974, respectively. The loading information showed that the interaction between aroma and taste characteristics was obvious. Variable importance in projection scores showed that sweet amino acids, 1-octene-3-ol, butyl-2-octenal and EUC were crucial for the good characteristic flavor of S. rugosoannulata. This study will provide a theoretical basis for subsequent screening of sample pretreatment methods and the development of flavor related products.

Key words: Stropharia rugosoannulata; dried methods; solid phase microextraction-gas chromatography-mass spectrometry; flavor components; partial least squares regression; flavor evaluation