College of Resource and Environmental Engineering, Guizhou University, Guiyang, 550025, China.
College of Environmental Science and Engineering, Yangzhou University, Yangzhou, 225127, China.
Biol Trace Elem Res. 2021 Nov;199(11):4330-4341. doi: 10.1007/s12011-020-02527-8. Epub 2021 Jan 6.
The combination of mineral multi-elements with chemometrics can effectively trace the geographical origin of tea (Camellia sinensis). However, the role of soil mineral multi-elements in discriminating the origin of tea was unknown. This study aimed to further validate whether the geographical origin of tea can be authenticated based on mineral multi-elements, the concentrations of which in tea leaves were significantly correlated with those in soil. Eighty-seven tea leaves samples and paired soils from Meitan and Fenggang (MTFG), Anshun, and Leishan in China were sampled, and 24 mineral elements were measured. The data were processed using one-way analysis of variance (ANOVA), Pearson correlation analysis, principal component analysis (PCA), and stepwise linear discriminant analysis (SLDA). Results indicated that tea and soil samples from different origins differed significantly (p < 0.05) in terms of most mineral multi-elemental concentrations. Conversely, the intra-regional differences of different cultivars of the same origin were relatively minor. Seventeen mineral elements in tea leaves were significantly correlated with those in soils. The SLDA model, based on the 17 aforementioned elements, produced a 98.85% accurate classification rate. In addition, the origin was also identified satisfactorily with 94.25% accuracy when considering the cultivar effect. In conclusion, the tea plant cultivars unaffected the accuracy of the discrimination rate. The geographical origin of tea could be authenticated based on the mineral multi-elements with significant correlation between tea leaves and soils. Soil mineral multi-elements played an important role in identifying the geographical origin of tea.
矿物微量元素与化学计量学的结合可以有效地追踪茶叶（Camellia sinensis）的地理起源。然而，土壤矿物微量元素在鉴别茶叶起源方面的作用尚不清楚。本研究旨在进一步验证是否可以基于矿物微量元素来鉴定茶叶的地理起源，茶叶中的矿物微量元素浓度与土壤中的浓度显著相关。本研究从贵州湄潭和凤冈（MTFG）、安顺和雷山采集了 87 个茶叶样本和配对土壤样本，并测量了 24 种矿物元素。使用单向方差分析（ANOVA）、皮尔逊相关分析、主成分分析（PCA）和逐步线性判别分析（SLDA）对数据进行处理。结果表明，来自不同产地的茶叶和土壤样本在大多数矿物微量元素浓度方面存在显著差异（p < 0.05）。相反，同一产地不同品种的内部区域差异相对较小。茶叶中的 17 种矿物元素与土壤中的元素显著相关。基于上述 17 种元素的 SLDA 模型产生了 98.85%的准确分类率。此外，当考虑品种效应时，该模型也可以以 94.25%的准确率识别茶叶的产地。综上所述，茶叶品种不会影响判别率的准确性。可以基于与茶叶和土壤之间存在显著相关性的矿物微量元素来鉴定茶叶的地理起源。土壤矿物微量元素在识别茶叶的地理起源方面发挥了重要作用。
