Application of principal component analysis in the pollution assessment with heavy metals of vegetable food chain in the old mining areas
<p>Abstract</p> <p>Background</p> <p>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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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BMC
2012-12-01
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| Series: | Chemistry Central Journal |
| Subjects: | |
| Online Access: | http://journal.chemistrycentral.com/content/6/1/156 |
| _version_ | 1818893013182578688 |
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| author | Gergen Iosif Harmanescu Monica |
| author_facet | Gergen Iosif Harmanescu Monica |
| author_sort | Gergen Iosif |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusion</p> <p>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.</p> |
| first_indexed | 2024-12-19T18:05:50Z |
| format | Article |
| id | doaj.art-60623de2ca33417697e8cc5daa2c4dca |
| institution | Directory Open Access Journal |
| issn | 1752-153X |
| language | English |
| last_indexed | 2024-12-19T18:05:50Z |
| publishDate | 2012-12-01 |
| publisher | BMC |
| record_format | Article |
| series | Chemistry Central Journal |
| spelling | doaj.art-60623de2ca33417697e8cc5daa2c4dca2022-12-21T20:11:29ZengBMCChemistry Central Journal1752-153X2012-12-016115610.1186/1752-153X-6-156Application of principal component analysis in the pollution assessment with heavy metals of vegetable food chain in the old mining areasGergen IosifHarmanescu Monica<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusion</p> <p>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.</p>http://journal.chemistrycentral.com/content/6/1/156Heavy metalsSoilsVegetablesLong-lasting mining activitiesPCA |
| spellingShingle | Gergen Iosif Harmanescu Monica Application of principal component analysis in the pollution assessment with heavy metals of vegetable food chain in the old mining areas Chemistry Central Journal Heavy metals Soils Vegetables Long-lasting mining activities PCA |
| title | Application of principal component analysis in the pollution assessment with heavy metals of vegetable food chain in the old mining areas |
| title_full | Application of principal component analysis in the pollution assessment with heavy metals of vegetable food chain in the old mining areas |
| title_fullStr | Application of principal component analysis in the pollution assessment with heavy metals of vegetable food chain in the old mining areas |
| title_full_unstemmed | Application of principal component analysis in the pollution assessment with heavy metals of vegetable food chain in the old mining areas |
| title_short | Application of principal component analysis in the pollution assessment with heavy metals of vegetable food chain in the old mining areas |
| title_sort | application of principal component analysis in the pollution assessment with heavy metals of vegetable food chain in the old mining areas |
| topic | Heavy metals Soils Vegetables Long-lasting mining activities PCA |
| url | http://journal.chemistrycentral.com/content/6/1/156 |
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