scholarly journals Heavy Metal Pollution Mediated Oxidative Stress in Amaranthus hybridus Leaves

2012 ◽  
Vol 2 (2) ◽  
pp. 78-86 ◽  
Author(s):  
Linus Nwaogu
Keyword(s):  
Oxidative Stress ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Amaranthus Hybridus

The modulatory potential of herbal antioxidants against oxidative stress and heavy metal pollution: plants against environmental oxidative stress

2021 ◽  
Author(s):  
Navid Omidifar ◽  
Amir Nili-Ahmadabadi ◽  
Amin Nakhostin-Ansari ◽  
Kamran Bagheri Lankarani ◽  
Mohsen Moghadami ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution

Response of Tradescantia plants to oxidative stress induced by heavy metal pollution of soils from industrial areas

2018 ◽  
Vol 26 (1) ◽  
pp. 44-61 ◽  
Author(s):  
Raimondas Šiukšta ◽  
Skaistė Bondzinskaitė ◽  
Violeta Kleizaitė ◽  
Donatas Žvingila ◽  
Ričardas Taraškevičius ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Industrial Areas

Biomarkers of oxidative stress in rat for assessing toxicological effects of heavy metal pollution in river water

2015 ◽  
Vol 22 (17) ◽  
pp. 13453-13463 ◽  
Author(s):  
Utkarsh A. Reddy ◽  
P. V. Prabhakar ◽  
G. Sankara Rao ◽  
Pasham Rajasekhar Rao ◽  
K. Sandeep ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Heavy Metal ◽  
River Water ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Toxicological Effects ◽  
Biomarkers Of Oxidative Stress

Statistical Analsysis to Evaluate Heavy Metal Pollution in the Air Obatained by Moss Technique in Hanoi and its Surrounding Region

2019 ◽  
Vol 29 (3SI) ◽  
pp. 411
Author(s):  
N. H. Quyet ◽  
Le Hong Khiem ◽  
V. D. Quan ◽  
T. T. T. My ◽  
M. V. Frontasieva ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Statistical Analysis ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Principal Component ◽  
Multivariate Statistical ◽  
Five Factors ◽  
Heavy Metal Elements ◽  
Surrounding Areas ◽  
Potential Pollution

The aim of this paper was the application of statistical analysis including principal component analysis to evaluate heavy metal pollution obtained by moss technique in the air of Ha Noi and its surrounding areas and to evaluate potential pollution sources. The concentrations of 33 heavy metal elements in 27 samples of Barbula Indica moss in the investigated region collected in December of 2016 in the investigated area have been examined using multivariate statistical analysis. Five factors explaining 80% of the total variance were identified and their potential sources have been discussed.

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