Characteristic Fingerprint Analysis of the Moldy Odor in Guangxi Fragrant Rice by Gas Chromatography - Ion Mobility Spectrometry (GC-IMS). (2nd September 2022)

• Record Type: Journal Article
• Authors: Chen, Tong; Chen, Xinyu; Meng, Luli; Wei, Ziyu; Chen, Bin; Wang, Yong; Chen, Hui; Cheng, Qianwei
• Is Part Of: Analytical letters. Volume 55:Number 13(2022)
• Page Start: 2033
• Page End: 2045
• Publication Date: 2022-09-02
• Subjects: gas chromatography – ion mobility spectrometry (GC-IMS) -- fragrant rice -- rice mildew -- microbial volatile organic components (mVOCs) -- quadratic discriminant analysis (QDA); Chemistry, Analytic -- Periodicals; Chemistry, Analytic -- Abstracts; 543
• DOI: 10.1080/00032719.2022.2043337
• Languages: English
• ISSNs: 0003-2719

Abstract

Abstract: Six molds ( Aspergillus niger, Penicillium janthinellum, Penicillium alternatum, Penicillium funiculosum, Aspergillus flavus and Aspergillus parasitica ) were isolated from naturally fragrant rice for their characterization. Microbial volatile organic compounds (mVOCs) produced by the molds were determined by gas chromatography – ion mobility spectrometry (GC-IMS). With the help of statistical analysis and digital image processing, specific mVOCs with mildew information were automatically selected, and a discrimination model of moldy fragrant rice was established using chemometrics. The results showed that main mVOCs produced by the mold were alcohols, aldehydes, ketones, and esters. The moldy and normal fragrant rice samples were divided into two clusters in the principal component score diagram. The model developed by quadratic discriminant analysis indicated that the average recognition rate for test sample sets was 95.25%. In conclusion, the composition of mVOCs was used to characterize the mildew of fragrant rice. GC-IMS combined with chemometric tools is effective for the nondestructive discrimination of moldy fragrant rice which is significant for monitoring quality and storage.