scholarly journals Green purification of heavy metal pollution from aquatic environment by biorefinery waste biomass of Nigella sativa L.: A novel and effective treatment agent

Author(s):  
Fatih Deniz
2021 ◽  
Vol 274 ◽  
pp. 116569
Author(s):  
Majid Komijani ◽  
Narges Sadat Shamabadi ◽  
Khashayar Shahin ◽  
Farnaz Eghbalpour ◽  
Mohammad Reza Tahsili ◽  
...  

2019 ◽  
Vol 8 (1) ◽  
pp. 9
Author(s):  
Nur Alim Natsir ◽  
Debby A. J Selanno ◽  
Ch.I. Tupan ◽  
Y.T. Male

The difference in accumulation of lead and mercury heavy metals in water, sediments and seagrass organs Enhalus acoroides (roots, rhizomes and leaves) is found in the waters of Kayeli Bay, Buru Island, Maluku Province. Samples were taken from ten observed station (Kayeli River Estuary, Suket River Estuary, Anahoni River Estuary, Waelata I Estuary, Waelata River Estuary II, Waeapo River Estuary, Sanleko River Estuary, Marlosso River Estuary, Nametek Beach and Jikumerasa Beach). Pb and Hg were analyzed using Atomic Absorption Spectrophotometer. The content of Pb and Hg in sediments is higher than in water. The highest Pb and Hg content is found in the roots then in the rhizoma and leaves (roots> rhizoma> leaves). Seagrass Enhalus acoroides is one of the living organisms that can be used as a bio-indicator of the level of heavy metal pollution in the aquatic environment. Key Words: Enhalus acoroides, Pb, Hg, Bioakumulasi, Bioindicator


2006 ◽  
Vol 9 (2) ◽  
pp. 137-145 ◽  
Author(s):  
Noor Azhar M. Shazili ◽  
Kamaruzaman Yunus ◽  
Ahmad Shamsudin Ahmad ◽  
Norantonina Abdullah ◽  
Mohd Kamil Abd Rashid

2019 ◽  
Vol 29 (3SI) ◽  
pp. 411
Author(s):  
N. H. Quyet ◽  
Le Hong Khiem ◽  
V. D. Quan ◽  
T. T. T. My ◽  
M. V. Frontasieva ◽  
...  

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.


Sign in / Sign up

Export Citation Format

Share Document