Comparative analysis of volatile profiles in two grafted pine nuts by headspace-SPME/GC-MS and electronic nose as responses to different roasting conditions

被引:69
作者
Adelina, Nadya Mara [1 ]
Wang, He [1 ]
Zhang, Ligang [2 ]
Zhao, Yuhong [1 ,3 ]
机构
[1] Northeast Forestry Univ, Sch Forestry, Dept Food Sci, Harbin 150040, Peoples R China
[2] Northeast Agr Univ, Coll Food Sci, Harbin 150030, Peoples R China
[3] Key Lab Forest Food Resources Utilizat Heilongjia, Harbin 150040, Peoples R China
关键词
Pine nut; HS-SPME; GC-MS; Electronic nose; Volatile compounds;
D O I
10.1016/j.foodres.2020.110026
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
As an attempt to fulfill the massive demand for pine nuts, two grafted trees were cultivated: grafted Pinus koraiensis on the same scions (PK) and grafted Pinus koraiensis on Pinus sylvestris rootstocks (PKS) trees. Both PK and PKS are acknowledged as important economic trees in the northeastern area of China. This study aimed to compare the volatile compounds and aroma profiles in PK and PKS by Headspace Solid Phase Microextraction (HS-SPME) coupled with Gas Chromatography-Mass Spectrometry (GC-MS) and Electronic nose (E-nose) as responses to different roasting conditions. The results showed that a total of 286 volatile compounds were identified in the PK and PKS samples, which some of them were considered to contribute to the desirable aroma of samples. Abundance of terpenes and aromatic hydrocarbons, such as D-limonene and toluene, were respectively present in both raw PK and PKS. The increasing temperature and duration of roasting significantly decreased terpenes and aromatic hydrocarbons content, while more alkanes/alkenes, acids, and ketones were generated in the medium temperature condition. The late phase of roasting was dominated by aldehydes, furans, furfurals, pyrazines, and pyrroles, for which PKS showed a higher content than PK. The aroma profiles detected by E-nose showed that the influence of roasting time was less at high temperatures than those at low and medium temperatures. This study also highlighted the feasibility of principal component analysis (PCA) combined with HS-SPME/GC-MS and E-nose to discriminate the samples.
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页数:14
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