Tracing the geographical origin of tobacco at two spatial scales by stable isotope and element analyses with chemometrics Article Swipe
Lili Cui
,
Huan Chen
,
Yuwei Yuan
,
Fengpeng Zhu
,
Jing Nie
,
Shulei Han
,
Yaning Fu
,
Hongwei Hou
,
Qingyuan Hu
,
Zeng‐Ping Chen
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.fochx.2023.100716
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.fochx.2023.100716
Tobacco is a widely cultivated cash crop, but it is often smuggled and sold illegally. Unfortunately, there is currently no way to verify the origin of tobacco in China. In an effort to address this issue, we conducted a study using stable isotopes and elements from 176 tobacco samples at both provincial and municipal scales. Our findings revealed significant differences in δ13C, K, Cs, and 208/206Pb at the provincial-level, and Sr, Se, and Pb at the municipal level. We created a heat map at the municipal level, which showed a similar cluster classification to geographic grouping and provided an initial assessment of tobacco origins. Using OPLS-DA modeling, we achieved a 98.3% accuracy rate for the provincial scale and 97.6% for the municipal scale. It is worth noting that the importance of rankings of variables varied depending on the spatial scale of the evaluation. This study offers the first traceability fingerprint dataset of tobacco and has the potential to combat mislabeling and fraudulent conduct by identifying the geographical origin of tobacco.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.fochx.2023.100716
- OA Status
- gold
- Cited By
- 8
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4377104477
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4377104477Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.fochx.2023.100716Digital Object Identifier
- Title
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Tracing the geographical origin of tobacco at two spatial scales by stable isotope and element analyses with chemometricsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-05-17Full publication date if available
- Authors
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Lili Cui, Huan Chen, Yuwei Yuan, Fengpeng Zhu, Jing Nie, Shulei Han, Yaning Fu, Hongwei Hou, Qingyuan Hu, Zeng‐Ping ChenList of authors in order
- Landing page
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https://doi.org/10.1016/j.fochx.2023.100716Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.fochx.2023.100716Direct OA link when available
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Traceability, Scale (ratio), Chemometrics, Tracing, Cluster (spacecraft), Geography, Environmental science, Statistics, Cartography, Mathematics, Computer science, Machine learning, Operating system, Programming languageTop concepts (fields/topics) attached by OpenAlex
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8Total citation count in OpenAlex
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2025: 2, 2024: 4, 2023: 2Per-year citation counts (last 5 years)
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43Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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