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中国精品科技期刊2020
雷舒雯,赵红,付晓萍,等. 基于UHPLC-QE-MS代谢组学分析云南不同产地深纹核桃仁品质差异[J]. 宝威体育平台,2025,46(9):1−11. doi: 10.13386/j.issn1002-0306.2024050360.
引用本文: 雷舒雯,赵红,付晓萍,等. 基于UHPLC-QE-MS代谢组学分析云南不同产地深纹核桃仁品质差异[J]. 宝威体育平台,2025,46(9):1−11. doi: 10.13386/j.issn1002-0306.2024050360.
LEI Shuwen, ZHAO Hong, FU Xiaoping, et al. Quality Analysis of Juglans sigillata Kernel from Different Producing Areas in Yunnan Province by UHPLC-QE-MS Metabolomics[J]. Science and Technology of Food Industry, 2025, 46(9): 1−11. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024050360.
Citation: LEI Shuwen, ZHAO Hong, FU Xiaoping, et al. Quality Analysis of Juglans sigillata Kernel from Different Producing Areas in Yunnan Province by UHPLC-QE-MS Metabolomics[J]. Science and Technology of Food Industry, 2025, 46(9): 1−11. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024050360.

基于UHPLC-QE-MS代谢组学分析云南不同产地深纹核桃仁品质差异

Quality Analysis of Juglans sigillata Kernel from Different Producing Areas in Yunnan Province by UHPLC-QE-MS Metabolomics

  • 摘要: 采用非靶向代谢组学方法,探究云南不同产地深纹核桃仁代谢产物的差异性。运用超高效液相色谱-串联质谱(UHPLC-QE-MS),通过主成分分析、正交偏最小二乘判别分析、聚类分析、代谢物及代谢通路差异性分析对云南深纹核桃仁的代谢组学特征进行研究。研究结果共鉴定出305种代谢物,其中脂肪酸、莽草酸和苯丙酸、氨基酸和多肽占比较高,主要参与苯丙氨酸代谢,黄酮和黄酮醇的生物合成,缬氨酸、亮氨酸和异亮氨酸的生物合成等代谢途径。8个产地深纹核桃仁中差异代谢物有185种(VIP>1且P<0.05),筛选到吲哚乙酸、黄腐酚、酮亮氨酸等为大理州永平县核桃仁潜在标志物,丁香酸、邻苯二甲酸二异癸酯、癸酸等为丽江市古城区核桃仁潜在标志物,4-羟基-3-甲氧基肉桂醛为迪庆州香格里拉市核桃仁潜在标志物,异土木香内酯、山奈酚、胆绿素等为大理州漾濞县核桃仁潜在标志物,香兰素为普洱市景东县核桃仁潜在标志物,山奈素、亮氨酸、异亮氨酸等为楚雄州大姚县核桃仁潜在标志物,N-乙酰苯丙氨酸、丙二酸、天冬酰胺等为保山市昌宁县核桃仁潜在标志物,多巴黄质、7-乙酰氧基-4-甲基香豆素、十一烷酸等为临沧市凤庆县核桃仁潜在标志物,这些差异可能会对核桃仁的抗氧化活性产生一定的影响。本研究通过指纹图谱和相似度分析有效实现了不同产地核桃仁区分,提供了云南不同产地深纹核桃仁代谢物信息,UHPLC-QE-MS技术对云南不同产地深纹核桃仁的鉴别具有可行性。

     

    Abstract: To investigate the differences in the metabolites of Juglans sigillata kernel from different producing areas in Yunnan province using a non-target metabolomics approach. The metabolomic profiles of Juglans sigillata kernel were investigated by ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-QE-MS) with principal component analysis, orthogonal partial least squares discriminant analysis, cluster analysis and metabolite and metabolic pathway difference analysis. The results showed that a total of 305 metabolites were detected, with the highest proportion of fatty acids, shikimates, phenylpropanoids, amino acids and peptides, which were mainly involved in the metabolic pathways of phenylalanine metabolism, flavone and flavonol biosynthesis, valine, leucine and isoleucine biosynthesis. A total of 185 differential metabolites were screened in the Juglans sigillata kernel from 8 producing areas (VIP>1 and P<0.05). Indolelactic acid, xanthohumol and ketoleucine were identified as a signature compound of walnut kernel in Yongping county of Dali prefecture. Syringic acid, dIDP and capric acid were found to be a signature compound of walnut kernel in Gucheng town of Lijiang city. Coniferaldehyde was the signature compound of walnut kernel in Shangri-La city of Diqing prefecture. Isoalantolactone, kaempferol, biliverdin were found to be a signature compound of walnut kernel in Yangbi county of Dali prefecture. Vanillin was identified to be a signature compound of walnut kernel in Jingdong county of Pu’er city. Kaempferide, leucine and isoleucine were identified as a signature compound of walnut kernel in Dayao county of Chuxiong prefecture. N-acetylphenylalanine, malonic acid and asparagine were the signature compounds of walnut kernel in Changning county of Baoshan city. Dopaxanthin, 4-methylumbelliferyl acetate and undecanoic acid were found to be a signature compound of walnut kernel in Fengqing county of Lincang city. These differences might have certain effects on the antioxidant activity of walnut kernels. Similarity analysis from fingerprints showed effective distinction among Juglans sigillata kernel from different producing areas. This study has provided information about the metabolites of Juglans sigillata kernel from different producing areas in Yunnan province, and demonstrated that UHPLC-QE-MS technology is feasible for the identification of Juglans sigillata kernel.

     

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