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Emerging tropane alkaloids: Global development and potential health threats

Food Quality and Safety 2023 7 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 50 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Zile Wang, Shiqi Chen, Pimiao Zheng, Zhenhui Ren, Zhenhui Ren, Huixia Zhang, Jing Zhang, Bing Shao, Bing Shao, Congming Wu, Bing Shao, Haiyang Jiang

Summary

This bibliometric study maps the research landscape of tropane alkaloids, a class of plant-derived compounds with both pharmaceutical and toxic properties, by analyzing over 1,200 publications from 1953 to 2022. The study identifies an emerging trend since 2018 toward monitoring tropane alkaloid contamination in food products, suggesting growing concern about their potential health implications in the food supply.

Study Type In vitro

Abstract Tropane alkaloids (TAs) are a kind of plant secondary metabolite that mainly originate from Solanaceae. They have potent anticholinergic activity, and are well-known anticholinergic drugs, but have also been reported as plant toxins. Many studies have been conducted on TAs, but no scientometric research has been performed. This study aimed to expound the knowledge network and development of the field of TAs and predict the emerging development topics based on bibliometrics. In particular, this research combined VOSviewer and CiteSpace for visualization and covered 1,298 related scientific publications (1953–2022). The research on TAs is rapidly developing, with the participation of 86 countries, 1,129 research institutions, and 4,087 researchers. China, the University of Geneva, and P. Christen are the most productive country, institution, and researcher, respectively. Currently, the main research topics on TAs include biosynthesis, in vitro synthesis, chemical synthesis, and determination methods. Since 2018, the monitoring of TAs in food related to human health has shown citation burst characteristics, which is considered an emerging development trend in the future. The findings of this study will enable researchers to quickly tap into the knowledge background/structure of TAs from massive data to provide a reference for further research.

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