ArticleEnvironmental science and pollution research international2020
Geographical origin differentiation of Chinese Angelica by specific metal element fingerprinting and risk assessment.
Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 19 citations in OpenAlex.
- Processing of Angelica (Food science & nutrition · 2024Article
- A novel bioaccessibility-based probabilistic risks assessment of potentially toxic elements (PTEs) in earthworm.Frontiers in pharmacology · 2024Article
- Environmental behavior, human health effect, and pollution control of heavy metal(loid)s toward full life cycle processes.Eco-Environment & Health · 2022Review
- Geographical and Varietal Traceability of Chinese Jujubes Based on Physical and Nutritional Characteristics.Foods (Basel, Switzerland) · 2021Article
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
Traceability offers significant information about the quality and safety of Chinese Angelica, a medicine and food homologous substance. In this study, a systematic four-step strategy, including sample collection, specific metal element fingerprinting, multivariate statistical analysis, and benefit-risk assessment, was developed for the first time to identify Chinese Angelica based on geographical origins. Fifteen metals in fifty-six Chinese Angelica samples originated from three provinces were analyzed. The multivariate statistical analysis model established, involving hierarchical cluster analysis (HCA), principal component analysis (PCA), and self-organizing map clustering analysis was able to identify the origins of samples. Furthermore, benefit-risk assessment models were created by combinational calculation of chemical daily intake (CDI), hazard index (HI), and cancer risk (CR) levels to evaluate the potential risks of Chinese Angelica using as traditional Chinese medicine (TCM) and food, respectively. Our systematic strategy was well convinced to accurately and effectively differentiate Chinese Angelica based on geographical origins.
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