FOOD SCIENCE ›› 2022, Vol. 43 ›› Issue (18): 258-264.doi: 10.7506/spkx1002-6630-20210927-324

• Component Analysis • Previous Articles    

Analysis of Volatile Flavor Components in Cooked Unpolished Rice of Different Colors from Yangxian County by Headspace-Gas Chromatography-Ion Mobility Spectroscopy

JIN Wengang, LIU Junxia, ZHAO Ping, CHEN Xiaohua, HAN Hao, PEI Jinjin, ZHOU Jia, ZHANG Jie, GENG Jingzhang, JIANG Pengfei   

  1. (1. Shannxi Key Laboratory of Bio-Resource, College of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong 723001, China; 2. Shaanxi Shuangya Grain and Oil Industry and Trade Co. Ltd., Hanzhong 723000, China; 3. National Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China)
  • Published:2022-09-28

Abstract: Headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS) and similarity analysis were used to evaluate the differences in the volatile flavor compounds of five different colored unpolished rices (red, yellow, green, purple and black) from Yangxian county, Hanzhong city after cooking. The results showed that a total of 61 volatile flavor compounds were identified, including 35 aldehydes ( 49.83%–57.06%), 13 ketones (accounting for 34.40%–41.45%), 5 alcohols (accounting for 1.42%–1.96%), 2 pyrazines (accounting for 0.02%–0.07%), 2 acids (accounting for 0.19%–0.49%), 1 ester (accounting for 0.08%–0.67%), 1 furan (accounting for 5.61%–8.23%), 1 ether (accounting for 0.02%–0.10%), and 1 phenol (accounting for 0.04%–0.22%). The content of aldehydes in cooked unpolished red rice was relatively higher, the content of acids in cooked unpolished yellow rice was relatively higher; the contents of alcohols and ethers in cooked unpolished green rice were relatively higher; the content of furans in cooked unpolished purple rice was relatively higher; and the contents of ketones, esters, pyrazines and phenols in cooked unpolished black rice were relatively higher. Principal component analysis (PCA) showed that the cumulative contribution rate of the first two principal components was 74.1%, which could better explain the characteristics of the original sample data. HS-GC-IMS spectral data could be used to distinguish the volatile flavor components of cooked unpolished rices of different colors. A volatile component fingerprint of cooked unpolished rice of different colors from Yangxian county was established in this study, which can visually presents the contour information of volatile flavor components and enrich the information about the eating quality of the five colored rices from Yangxian.

Key words: five colored unpolished rices; cooking; headspace-gas chromatography-ion mobility spectrometry; flavor components; similarity analysis

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