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基于同位素比率质谱法(IRMS)对(布勒)辛格地理来源的鉴定。

Isotope Ratio Mass Spectrometry (IRMS)-Based Authentication of the Geographic Origins of (Bull.) Singer.

作者信息

Liu Xing, Rao Qinxiong, Zhang Qicai, Geng Hao, Lu Yangyang, Liu Zhu, Chen Shanshan, Li Peijun, Song Weiguo

机构信息

Guangdong Provincial Key Laboratory of Utilization and Conservation of Food and Medicinal Resources in Northern Region, Shaoguan University, Shaoguan 512005, China.

Institute for Agro-Food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China.

出版信息

Foods. 2025 Mar 20;14(6):1074. doi: 10.3390/foods14061074.

Abstract

The growing consumption of has heightened concerns regarding its geographical authenticity. This study analyzed the proteins, 16 common amino acids, and 10 mineral elements (Ca, Cu, Fe, K, Mn, Mg, Na, Se, Sr, Zn) in samples from Fujian, Guangdong, Hubei, Jiangsu, Jiangxi, Shanghai, and Zhejiang, China, along with regional variations in stable isotope ratios. PCA and PLS-DA were applied for origin authentication. The results showed an average protein content of approximately 30 g/100 g (dry basis), with Guangdong samples being the highest. Amino acids exhibited significant regional differences, but the total essential amino acid and total amino acid contents did not. Mineral elements varied significantly by region, except for Cu and K. The Fujian, Hubei, Jiangxi, and Zhejiang samples exhibited significantly higher C and N values, while Shanghai samples had significantly higher H and O values. These differences enabled PCA to classify the samples into two groups: FHJZ (Fujian, Hubei, Jiangxi, Zhejiang) and GJS (Guangdong, Jiangsu, Shanghai). The PLS-DA model achieved 93.60% accuracy in distinguishing these two groups. Pairwise accuracy within the GJS group exceeded 80%, whereas that within the FHJZ group requires further improvement. These findings support the feasibility of stable isotope analysis for authenticating the geographical origin of .

摘要

其消费量的不断增长引发了对其地理真实性的担忧。本研究分析了来自中国福建、广东、湖北、江苏、江西、上海和浙江的样本中的蛋白质、16种常见氨基酸和10种矿物元素(钙、铜、铁、钾、锰、镁、钠、硒、锶、锌),以及稳定同位素比率的区域差异。应用主成分分析(PCA)和偏最小二乘判别分析(PLS - DA)进行产地鉴别。结果表明,平均蛋白质含量约为30 g/100 g(干基),其中广东样本最高。氨基酸表现出显著的区域差异,但必需氨基酸总量和氨基酸总量没有。矿物元素因地区而异,铜和钾除外。福建、湖北、江西和浙江的样本显示出显著更高的碳和氮值,而上海样本的氢和氧值显著更高。这些差异使主成分分析能够将样本分为两组:FHJZ(福建、湖北、江西、浙江)和GJS(广东、江苏、上海)。偏最小二乘判别分析模型在区分这两组时的准确率达到93.60%。GJS组内的两两准确率超过80%,而FHJZ组内的准确率需要进一步提高。这些发现支持了稳定同位素分析用于鉴别[具体物品]地理来源的可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11a8/11941849/f0931362f2df/foods-14-01074-g001.jpg

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