Application of principal component analysis in the pollution assessment with heavy metals of vegetable food chain in the old mining areas

Chemistry Central Journal

Iosif Gergen¹  Monica Harmanescu² 

[1] Banat’s University of Agricultural Science and Veterinary Medicine Timisoara, Faculty of Food Processing Technology, Calea Aradului 119, RO, 300645, Romania

[2] Banat’s University of Agricultural Science and Veterinary Medicine Timisoara, Faculty of Agriculture, Calea Aradului 119, RO, 300645, Romania

关键词: PCA;    Long-lasting mining activities;    Vegetables;    Soils;    Heavy metals;   

Others  :  787999
DOI  :  10.1186/1752-153X-6-156

 received in 2012-08-18, accepted in 2012-12-03,  发布年份 2012

【 摘 要 】

Background

The aim of the paper is to assess by the principal components analysis (PCA) the heavy metal contamination of soil and vegetables widely used as food for people who live in areas contaminated by heavy metals (HMs) due to long-lasting mining activities. This chemometric technique allowed us to select the best model for determining the risk of HMs on the food chain as well as on people's health.

Results

Many PCA models were computed with different variables: heavy metals contents and some agro-chemical parameters which characterize the soil samples from contaminated and uncontaminated areas, HMs contents of different types of vegetables grown and consumed in these areas, and the complex parameter target hazard quotients (THQ). Results were discussed in terms of principal component analysis.

Conclusion

There were two major benefits in processing the data PCA: firstly, it helped in optimizing the number and type of data that are best in rendering the HMs contamination of the soil and vegetables. Secondly, it was valuable for selecting the vegetable species which present the highest/minimum risk of a negative impact on the food chain and human health.

【 授权许可】

   
2012 Gergen and Harmanescu; licensee Chemistry Central Ltd.

【 图 表 】

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