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Geographical origin of Chinese wolfberry (goji) determined by carbon isotope analysis of specific volatile compounds

文献类型： 外文期刊

作者： Meng, Jing 1 ; Liu, Zhi 3 ; Gou, Chun-Lin 5 ; Rogers, Karyne M. 6 ; Yu, Wen-Juan 1 ; Zhang, Shan-Shan 1 ; Yuan, Yu-Wei 3 ;

作者机构： 1.Shanghai Jiao Tong Univ, Instrumental Anal Ctr, 800 Dongchuan Rd, Shanghai 200240, Peoples R China

2.Shanghai Jiao Tong Univ, Sch Pharm, 800 Dongchuan Rd, Shanghai 200240, Peoples R China

3.Zhejiang Acad Agr Sci, Inst Qual & Stand Agroprod, Hangzhou 310021, Zhejiang, Peoples R China

4.Minist Agr & Rural Affairs, Key Lab Informat Traceabil Agr Prod, Hangzhou 310021, Zhejiang, Peoples R China

5.Inst Agr Prod Qual Stand & Testing Technol Ningxi, Yinchuan 750002, Peoples R China

6.GNS Sci, Natl Isotope Ctr, 30 Gracefield Rd

关键词： Wolfberry; Volatile compound; HS-SPME; GC-IRMS; Geographical origin

期刊名称：JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES （ 影响因子：3.205； 五年影响因子：3.068 ）

ISSN： 1570-0232

年卷期： 2019 年 1105 卷

页码：

收录情况： SCI

摘要： Chinese wolfberry or goji berry (Lycium barbarum) is an important traditional Chinese medicine. Its price and function has a close correlation with its geographical provenance. Illegal mislabeling motivated by commercial gains brings serious food safety problems and damages consumer confidence. In this work, a novel analytical strategy combined with chemometrics statistic tools was developed to determine the geographical origin of wolfberries from different provinces in China. Stable carbon isotopic ratios (delta C-13) of wolfberry volatile compounds (i.e. limonene, tetramethylpyrazine, safranal, geranylacetone, and beta-ionone) were determined by gas chromatography-combustion-isotope ratio mass spectrometry (GC-IRMS) with headspace-solid phase micro extraction (HS-SPME). Five types of SPME fiber (Le. DVB/CAR/PDMS, CAR/PDMS, PDMS/DVB + OC, PDMS, and PA), extraction time, temperature and GC-IRMS conditions were comprehensively optimized to obtain the best adsorption of volatile compounds in wolfberry. Method integrity was assessed by comparing volatiles extracted using HS-SPME GC-IRMS with direct injection GC-IRMS and were in good agreement with each other. The geographical variations of volatile compounds using one-way analysis of variance (ANOVA) were explored for individual delta C-13 values in wolfberry samples from Gansu, Ningxia and Qinghai. Geographical origin of wolfberry was differentiated by linear discrimination analysis (LDA), with an accuracy of 89.16%, 87.77% and 85.87% for these three provinces, respectively. These results showed the combination of SPME and IRMS provides a rapid and valid method to determine the geographical origin of wolfberry.

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