Geographical Origin Traceability and Origin Confirmation of Specialty Agricultural Product Lanzhou Lily (Lilium davidii var. unicolor)
The place of production is closely related to the quality, safety and nutritional quality of Lanzhou lily (Lilium davidii var. unicolor), and its geographical origin traceability and origin confirmation is beneficial to the implementation of the protection of the place of production, the fidelity of...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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The editorial department of Science and Technology of Food Industry
2022-08-01
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| Series: | Shipin gongye ke-ji |
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| Online Access: | http://www.spgykj.com/cn/article/doi/10.13386/j.issn1002-0306.2021110287 |
| _version_ | 1811224606879514624 |
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| author | Shanjia LI Lijuan CUI Peixi SU Hui WANG Fuxiang WANG Zihao WANG |
| author_facet | Shanjia LI Lijuan CUI Peixi SU Hui WANG Fuxiang WANG Zihao WANG |
| author_sort | Shanjia LI |
| collection | DOAJ |
| description | The place of production is closely related to the quality, safety and nutritional quality of Lanzhou lily (Lilium davidii var. unicolor), and its geographical origin traceability and origin confirmation is beneficial to the implementation of the protection of the place of production, the fidelity of characteristic products and the sustainable development of the industry. In this study, isotope ratio mass spectrometry (IRMS) and inductively coupled plasma mass spectrometry (ICP-MS) were used to determine the ratios of 3 stable isotopes (δ13C, δ15N, δ18O) and the content of 16 mineral elements (K, Mg, Ca, Na, B, Fe, Zn, Al, Mn, Cu, Mo, Cr, Cd, Se, As, Pb) in samples from the four main producing areas of Lanzhou lily. Combining principal component analysis (PCA), orthogonal partial least squares discrimination analysis (OPLS-DA) and linear discriminant analysis (linear discriminant analysis, LDA), the classification model of Lanzhou lily from different producing areas was constructed to verify the geographical origin traceability and origin confirmation. The results of the study showed that: δ13C, δ15N, K, Mg, Na, B, Fe, Mn, Cu, Mo, Cr, Cd were significantly different among the production areas (P<0.05). 5 principal components were extracted by PCA analysis, and the cumulative variance contribution rate was 84.36%. LDA original discrimination accuracy rate was 100%, leave-one-out cross validation (LOO-CV) discrimination accuracy rate was 88.89%. OPLS-DA model correct discrimination rate was 100%, of which the classification effect was optimal. This study would show that a multivariate statistical classification model based on the stable isotope and mineral element contents of Lanzhou lily could effectively distinguish lily from different production areas, and promote the establishment and improvement of its traceability system, and would be of great significance to the protection and quality control of Lanzhou lily's production area. |
| first_indexed | 2024-04-12T08:51:53Z |
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| id | doaj.art-959f311d830341c6898e69bd0b040a2d |
| institution | Directory Open Access Journal |
| issn | 1002-0306 |
| language | zho |
| last_indexed | 2024-04-12T08:51:53Z |
| publishDate | 2022-08-01 |
| publisher | The editorial department of Science and Technology of Food Industry |
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| series | Shipin gongye ke-ji |
| spelling | doaj.art-959f311d830341c6898e69bd0b040a2d2022-12-22T03:39:33ZzhoThe editorial department of Science and Technology of Food IndustryShipin gongye ke-ji1002-03062022-08-01431632933710.13386/j.issn1002-0306.20211102872021110287-16Geographical Origin Traceability and Origin Confirmation of Specialty Agricultural Product Lanzhou Lily (Lilium davidii var. unicolor)Shanjia LI0Lijuan CUI1Peixi SU2Hui WANG3Fuxiang WANG4Zihao WANG5School of Life Science and Engineering, Lanzhou University of Technology, Lanzhou 730050, ChinaSchool of Life Science and Engineering, Lanzhou University of Technology, Lanzhou 730050, ChinaNorthwest Institute of Eco-Environmental Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaSchool of Life Science and Engineering, Lanzhou University of Technology, Lanzhou 730050, ChinaSchool of Life Science and Engineering, Lanzhou University of Technology, Lanzhou 730050, ChinaSchool of Life Science and Engineering, Lanzhou University of Technology, Lanzhou 730050, ChinaThe place of production is closely related to the quality, safety and nutritional quality of Lanzhou lily (Lilium davidii var. unicolor), and its geographical origin traceability and origin confirmation is beneficial to the implementation of the protection of the place of production, the fidelity of characteristic products and the sustainable development of the industry. In this study, isotope ratio mass spectrometry (IRMS) and inductively coupled plasma mass spectrometry (ICP-MS) were used to determine the ratios of 3 stable isotopes (δ13C, δ15N, δ18O) and the content of 16 mineral elements (K, Mg, Ca, Na, B, Fe, Zn, Al, Mn, Cu, Mo, Cr, Cd, Se, As, Pb) in samples from the four main producing areas of Lanzhou lily. Combining principal component analysis (PCA), orthogonal partial least squares discrimination analysis (OPLS-DA) and linear discriminant analysis (linear discriminant analysis, LDA), the classification model of Lanzhou lily from different producing areas was constructed to verify the geographical origin traceability and origin confirmation. The results of the study showed that: δ13C, δ15N, K, Mg, Na, B, Fe, Mn, Cu, Mo, Cr, Cd were significantly different among the production areas (P<0.05). 5 principal components were extracted by PCA analysis, and the cumulative variance contribution rate was 84.36%. LDA original discrimination accuracy rate was 100%, leave-one-out cross validation (LOO-CV) discrimination accuracy rate was 88.89%. OPLS-DA model correct discrimination rate was 100%, of which the classification effect was optimal. This study would show that a multivariate statistical classification model based on the stable isotope and mineral element contents of Lanzhou lily could effectively distinguish lily from different production areas, and promote the establishment and improvement of its traceability system, and would be of great significance to the protection and quality control of Lanzhou lily's production area.http://www.spgykj.com/cn/article/doi/10.13386/j.issn1002-0306.2021110287lanzhou lilygeographical origin traceabilitystable isotopesmineral elementsverification and discrimination |
| spellingShingle | Shanjia LI Lijuan CUI Peixi SU Hui WANG Fuxiang WANG Zihao WANG Geographical Origin Traceability and Origin Confirmation of Specialty Agricultural Product Lanzhou Lily (Lilium davidii var. unicolor) Shipin gongye ke-ji lanzhou lily geographical origin traceability stable isotopes mineral elements verification and discrimination |
| title | Geographical Origin Traceability and Origin Confirmation of Specialty Agricultural Product Lanzhou Lily (Lilium davidii var. unicolor) |
| title_full | Geographical Origin Traceability and Origin Confirmation of Specialty Agricultural Product Lanzhou Lily (Lilium davidii var. unicolor) |
| title_fullStr | Geographical Origin Traceability and Origin Confirmation of Specialty Agricultural Product Lanzhou Lily (Lilium davidii var. unicolor) |
| title_full_unstemmed | Geographical Origin Traceability and Origin Confirmation of Specialty Agricultural Product Lanzhou Lily (Lilium davidii var. unicolor) |
| title_short | Geographical Origin Traceability and Origin Confirmation of Specialty Agricultural Product Lanzhou Lily (Lilium davidii var. unicolor) |
| title_sort | geographical origin traceability and origin confirmation of specialty agricultural product lanzhou lily lilium davidii var unicolor |
| topic | lanzhou lily geographical origin traceability stable isotopes mineral elements verification and discrimination |
| url | http://www.spgykj.com/cn/article/doi/10.13386/j.issn1002-0306.2021110287 |
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