Construction and application of exclusive flavour fingerprints from fragrant rice based on gas chromatography – ion mobility spectrometry (GC‐IMS). (29th July 2022)

• Record Type: Journal Article
• Authors: Chen, Tong; Li, Haiyu; Chen, Xinyu; Wang, Yong; Cheng, Qianwei; Qi, Xingpu
• Is Part Of: Flavour and fragrance journal. Volume 37:Number 6(2022)
• Page Start: 345
• Page End: 353
• Publication Date: 2022-07-29
• Subjects: chemometrics -- flavour fingerprint -- fragrant rice -- gas chromatography‐ion mobility spectrometry (GC‐IMS); Flavor -- Periodicals; Odors -- Periodicals; Smell -- Periodicals; 668.54
• DOI: 10.1002/ffj.3716
• Languages: English
• ISSNs: 0882-5734

Abstract

Abstract: Fragrant rice has unique aroma characteristics appreciated by many consumers. In order to extract exclusive flavour fingerprints from Guangxi fragrant rice and to further verify its effectiveness by allowing the rapid identification of fragrant rice from two main production regions (Guangxi and Wuchang), gas chromatography‐ion mobility spectrometry (GC‐IMS) technology was applied to analyse flavour components of 53 fragrant rice samples. Based on the two‐dimensional GC‐IMS map, characteristic variables of flavour components from Guangxi fragrant rice were screened via image pretreatment and automatic threshold segmentation algorithm. The extracted variables were further processed by using principal component analysis and quadratic discriminant analysis to establish a non‐linear model for discriminating two types of fragrant rice. The results showed that a total of 46 characteristic variables were extracted from Guangxi fragrant rice, and the first two principal components showed that the two types of rice samples had their own corresponding regions. 2‐Butanone, 2‐heptanone, pinene, 1‐heptanal, 2‐methyl‐1‐butanol acetate and octanal were the key different flavour components. The established model had an excellent recognition rate, which could be used to determine the geographical region of fragrant rice. The proposed method could achieve quick, non‐destructive and accurate analysis of fragrant rice geographical properties. It can be further applied in feature extraction from the two‐dimensional fingerprint map generated by other similar combined instruments. Abstract : Digital image processing technology combined with chemometric tools was employed to extract exclusive flavour fingerprint variables from fragrant rice based on GC‐IMS. The proposed method could achieve automatic characteristic peak selection without the need for traditional human eye observation from the two‐dimensional GC‐IMS map.