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Authentication of Fritillaria thunbergii by inorganic element fingerprint combined with multivariate statistical analysis
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Jing SHI, Bin LI, Meng-Ying MA, Zu-Wang LIU, Hong XU, Dong-Yu NI, Qiong-Fen WANG*
Journal of Food Safety & Quality | 2026, 17(6) : 334 - 342
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Journal of Food Safety & Quality | 2026, 17(6): 334-342
• Food Analysis and Detection •
Authentication of Fritillaria thunbergii by inorganic element fingerprint combined with multivariate statistical analysis
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Jing SHI, Bin LI, Meng-Ying MA, Zu-Wang LIU, Hong XU, Dong-Yu NI, Qiong-Fen WANG*
Affiliations
  • Zhoushan Institute for Food and Drug Control (National Ocean Food Quality Inspection Center), Zhoushan 316000, China
doi: 10.19812/j.cnki.jfsq11-5956/ts.20251119013
Outline
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Objective

To establish a geographical origin discrimination model for Fritillaria thunbergii based on multi-element fingerprint characteristics, thereby identifying the authenticity of this medicinal and edible substance.

Methods

Inductively coupled plasma mass spectrometry (ICP-MS) technique was employed to determine the content of 38 kinds of inorganic elements in 32 batches of Fritillaria thunbergii and its confusable species Fritillaria hupehensis collected from the market. Multivariate statistical analyses, including principal component analysis (PCA), orthogonal partial least squares-discriminant analysis (OPLS-DA) and Fisher linear discriminant analysis (LDA), were performed on the elemental content data.

Results

All target elements exhibited good linearity within their respective concentration ranges (r>0.999), with spiked recoveries ranging from 81.73% to 114.85%. The preliminary distinction between Fritillaria thunbergii and Fritillaria hupehensis could be achieved through PCA, but there was some overlap in some samples. An OPLS-DA classification model was subsequently developed, with model metrics R2X=0.685, R2Y=0.858 and Q2=0.700 (all>0.5), confirming its stability and reliability.Using variable importance in projection (VIP)>1 as the cutoff, 15 kinds of differential characteristic elements were screened to distinguish the 2 kinds of species. Ratio transformation was applied to these characteristic element variables to construct a Fisher LDA model and cross-validation results showed a discrimination accuracy of 100%,indicating excellent classification performance.

Conclusion

The established model allows rapid and accurate differentiation between Fritillaria thunbergii and Fritillaria hupehensis and provides a scientific basis for geographical origin traceability and optimization of quality evaluation systems for Fritillaria thunbergii.

Fritillaria thunbergii  /  Fritillaria hupehensis  /  elemental fingerprint  /  inductively coupled plasma mass spectrometry  /  multivariate statistical analysis  /  authenticity identification
石婧, 李彬, 马梦营, 刘祖望, 徐虹, 倪东宇, 王琼芬. 无机元素指纹结合多元统计分析鉴别浙贝母真伪. 食品安全质量检测学报, 2026 , 17 (6) : 334 -342 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20251119013
Jing SHI, Bin LI, Meng-Ying MA, Zu-Wang LIU, Hong XU, Dong-Yu NI, Qiong-Fen WANG. Authentication of Fritillaria thunbergii by inorganic element fingerprint combined with multivariate statistical analysis[J]. Journal of Food Safety & Quality, 2026 , 17 (6) : 334 -342 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20251119013
Year 2026 volume 17 Issue 6
13
3
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doi: 10.19812/j.cnki.jfsq11-5956/ts.20251119013
  • Receive Date:2025-11-19
  • Online Date:2026-11-05
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  • Received:2025-11-19
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    Zhoushan Institute for Food and Drug Control (National Ocean Food Quality Inspection Center), Zhoushan 316000, China
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表12种不同金属材料的力学参数
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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