Full
Outline
To establish an analytical method based on the fusion fingerprint technology of elements and organic components, achieve precise origin tracing of Myrica rubra ‘Dongkui’ from major production areas such as Zhejiang, Fujian and Yunnan in China.
Myrica rubra ‘Dongkui’ samples were collected from 5 representative regions in Zhejiang (Taizhou, Jinhua, Wenzhou), Fujian and Yunnan. Inductively coupled plasma mass spectrometry (ICP-MS), spectrophotometry, acid–base titration and ion chromatography were employed to determine mineral elements and organic components, including total anthocyanins, titratable acidity, sugar-to-acid ratio, and solid-to-acid ratio. Chemometric methods such as principal component analysis (PCA), Fisher discriminant analysis, and analysis of variance were applied to construct a discriminant model for origin identification.
There were significant differences in the content of 12 kinds of elements including Al, Ti, Fe, Ni, Cu, Zn, Ga, Sr, Cd, Sn, Sb and Pb among different production areas of Myrica rubra. Among them, the content of Al, Ti, Fe, Cu, Zn, Ga, Cd and Sn in the Yunnan production area were the highest, while the content of Ni, Cd and Pb in the Fujian production area were the lowest. In terms of organic components, total anthocyanins, titratable acid, sugar-acid ratio and solid-acid ratio also showed significant differences among production areas (P<0.05). Based on the discriminant model established using fused data, the sample points from the three origins were clearly distinguished in the PCA plot, with no overlap between Yunnan and Fujian/Zhejiang, and only occasional overlap between Fujian and Zhejiang. The initial discriminant accuracy reached 97.3%, and the cross-validation discriminant rate was 94.7%, which was significantly superior to single-component analysis methods.
The integration of fingerprint technology for elemental and organic components combined with chemometric analysis can effectively achieve the accurate discrimination of the origin of Myrica rubra ‘Dongkui’, providing a reliable multi-technique combined strategy for the origin traceability and geographical indication protection of agricultural products.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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