Application of Stable Isotopes and Multi Elemental Fingerprints to Verify the Origin of Premium Chinese Hainan Bananas

文献类型： 外文期刊

第一作者： Huang, Yurong

作者： Huang, Yurong;Huang, Yurong;Mei, Hanyi;Zhang, Yongzhi;Nie, Jing;Rogers, Karyne M.;Nuralykyzy, Bayan;Li, Chunlin;Yuan, Yuwei;Huang, Yurong;Mei, Hanyi;Zhang, Yongzhi;Nie, Jing;Rogers, Karyne M.;Nuralykyzy, Bayan;Li, Chunlin;Yuan, Yuwei;Wang, Mingyue;Huan, Zhibo;Rogers, Karyne M.

作者机构：

关键词： Musa nana Lour.; delta C-13; delta N-15; delta O-18; delta H-2; elements; chemometrics; PLS-DA; model; traceability

期刊名称：FOODS （ 影响因子：5.1； 五年影响因子：5.6 ）

ISSN：

年卷期： 2025 年 14 卷 4 期

页码：

收录情况： SCI

摘要： China is the world's largest consumer and second largest producer of bananas. This strong domestic demand consistently provides a reliable income for Chinese banana growers. The geographical origin of food is usually associated with product quality and safety, and this is especially noted for Hainan origin-labeled bananas, which are grown offshore on China's largest tropical island. Hainan banana is recognized as a premium variety within China's banana market, but there have been recent impacts on branding, profits, and a reduction in income for banana farmers due to the fraudulent in-market substitution of non-Hainan bananas. In this study, stable isotope and elemental chemometric models were used to differentiate bananas grown in Hainan province (HN) from non-Hainan provinces (NHN). The results showed that HN bananas had a specific isotopic and elemental fingerprint compared to NHN bananas. Bananas sampled from HN and NHN regions showed significant differences in delta C-13 values (HN: -22.2 parts per thousand to -27.7 parts per thousand, NHN: -22.3 parts per thousand to -24.3 parts per thousand), Al content (HN: 0.00 mg/kg to 0.10 mg/kg, NHN: 0.00 mg/kg to 0.02 mg/kg), Na content (HN: 0.00 mg/kg to 0.09 mg/kg, NHN: 0.00 mg/kg to 0.07 mg/kg), and other elements (p < 0.05). Overall, 14 key variables reflecting climate and soil properties were selected from a group of 53 variables to improve a partial least squares discriminant analysis (PLS-DA) chemometric model. The discrimination accuracy of the test set increased from 84.60% to 90.93% after variable reduction. The use of stable isotopes and elements combined with PLS-DA models provided an effective method for distinguishing Chinese HN bananas from NHN bananas and would be useful as a screening or regulatory tool to confirm instances of origin fraud.

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