| Title | Spatial analysis of heavy metals in meat products in China during 2015-2017 |
| Authors | Wang, Xueli Zhang, Yan Geng, Zhi Liu, Yang Guo, Lixia Xiao, Gexin |
| Affiliation | Beijing Univ Posts & Telecommun, Sch Sci, Beijing 100876, Peoples R China Peking Univ, Ctr Stat Sci, Sch Math Sci, Beijing 100871, Peoples R China Guizhou Acad Sci, Guiyang 550001, Guizhou, Peoples R China China Natl Ctr Food Safety Risk Assessment, Beijing 100022, Peoples R China |
| Keywords | Heavy metals Hierarchical cluster analysis Local spatial autocorrelation Meat products |
| Issue Date | 2019 |
| Publisher | FOOD CONTROL |
| Abstract | Meat for human consumption, may contain a variety of contaminants, including heavy metals. The data of five heavy metals (cadmium, lead, arsenic, chromium, and mercury) in meat products collected from major production provinces in China during 2015-2017 were analyzed by multidimensional visualization and hierarchical cluster analysis. By analyzing the spatial distributions and local spatial autocorrelation of five heavy metal contents in different provinces, it was found that the regions with higher heavy metal contents in meat products were mainly in Inner Mongolia, Shaanxi, Qinghai, and Tibet. Meanwhile, the parameter estimation of the samples showed that the contents of five heavy metals in other meat products (meat products except for cooked and premade meat products) were lower than that in cooked and premade meat products. Chromium was the highest in cooked and premade meat products when compared to other heavy metals. Given that the different levels of certain heavy metals in meat products in some areas in China, this study provides a scientific basis for food safety assessment and suggestions for risk management. |
| URI | http://hdl.handle.net/20.500.11897/544998 |
| ISSN | 0956-7135 |
| DOI | 10.1016/j.foodcont.2019.04.033 |
| Indexed | SCI(E) EI |
| Appears in Collections: | 数学科学学院 |
