This work was performed to reveal the influence of soil properties (OM, CEC, silt and clay content), on the translocation W, from soil to vegetables system, under field conditions, from soil to vegetables, under agrarian systems (soil to vegetables),in low acidic soils conditions. A total of one hundred and thirteen (113) vegetable samples of five(5) different types, and the corresponding surface soil samples, were collected from 5 main cities of Fujian Province southeastern China. The results showed that the total and available soil W ranged from 0.05 to 28.48 and 0.02 to 2.40 mg kg (-1), respectively, and were significantly corrected(r=0.756**, n=113). The W concentrations in the vegetables ranged between 0.02 to  13.03 mg kg (-1), with an average 0.59 mg kg (-1). Among the different vegetable types, the mean W concentrations were between 0.03 mg kg (-1) and 2.73 mg kg (-1).  Lotus seed (Nelumbo nucifera) and spinach (Spinach oleracea) contained the lowest (0.30 mg kg (-1)), and highest mean W (2.73 mg kg (-1)), respectively. Also, the W transfer from soil to vegetables based on TFavail decreased in the order of radish (Raphanus sativa) (28.01) >spinach (Spinach Oleracea) (11.35)> potato (Solanum tuberosum) (1.36) >lotus root (Nelumbo nucifera) (0.77) > corn  (Zea mays) (0.32)>lotus seed (Nelumbo nucifera) (0.30).Among the soils properties, the OM, CEC, and silt and clay content showed significantly negatively correlations, with TFavail, indicating that the CEC, silt and clay contents, and OM of the soils were the main soil properties influencing the transfer of  W from the soil to the vegetable (edible parts), under field conditions. The estimated daily intake revealed that the local residents may be exposed to health risks by consuming leafy vegetable produced from the investigated areas; therefore, more attention should be given to the cultivation process and consumption of the leafy vegetable produced from these study areas. 

Keywords:Accumulation characteristics;Health risks; Soil; Tungsten (W);Vegetable

James is a reviewer Royal Society of Chemistry (RSC), Digital Research Lab - Professional Development and responsible for developing and carrying out activities with the purpose of increasing membership i.e. in recent years the membership committee created three working groups in topics in statistics, data analytics and machine learning. Each group consisted of academics, post docs and PhD students (to some extent) and the groups were very successful in writing and publishing papers from their work. They also organised sessions at The International Environmetrics Society (TIES), and International Statistical Institute (ISI) and Joint Statistical Meetings (JSM).