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PENG Cheng, CHEN Zhe, CHANG Xiaoxiao, LIN Zhixiong, QIU Jishui, LU Yusheng. A Componential Analysis of Organic Acid in Wampee Fruit Juice from Different Germplasm Resources[J]. Journal of South China Normal University (Natural Science Edition), 2019, 51(4): 57-66. doi: 10.6054/j.jscnun.2019066
Citation: PENG Cheng, CHEN Zhe, CHANG Xiaoxiao, LIN Zhixiong, QIU Jishui, LU Yusheng. A Componential Analysis of Organic Acid in Wampee Fruit Juice from Different Germplasm Resources[J]. Journal of South China Normal University (Natural Science Edition), 2019, 51(4): 57-66. doi: 10.6054/j.jscnun.2019066

A Componential Analysis of Organic Acid in Wampee Fruit Juice from Different Germplasm Resources

  • In order to further understand the differences and characteristics of organic acid in different wampee germplasm resources, the components and contents of organic acid in fruit juice of 184 wampee germplasm conserved at Germplasm Resource Nursery of Wampee (Clausena lansium), Guangzhou, Ministry of Agriculture were analyzed with the high performance liquid chromatography (HPLC). The results showed that the contents of total organic acid varied greatly among different germplasm, ranging from 1.28 to 26.46 g/L. The major components of organic acid in wampee fruit juice were citric acid, malic acid, tartaric acid and ascorbic acid, and the content of citric acid was the highest but varied greatly among different germplasm, ranging from 0.54 to 25.12 g/L, with a mean of 11.85 g/L, which accounted for 83.36% of the total organic acid content. The correlation analysis showed that the content of citric acid was significantly positively correlated with the content of the total acid. According to the contents of citric acid, all 184 wampees germplasm resources were divided into two groups. Group Ⅰ was the low citric acid accumulation type, among which the contents of citric acid ranged from 0.54 to 3.21 g/L. Group Ⅱ was the high citric acid accumulation type, among which the contents of citric acid ranged from 6.40 to 25.12 g/L. The principal component analysis suggested that the first and second principal components could explain 67.37% of the total variance, and the results were basically consistent with the correlation analysis.
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