scholarly journals Preconcentration with Chlorella vulgaris combined with energy dispersive X-ray fluorescence spectrometry for rapid determination of Cd in water

2020 ◽  
Vol 7 (5) ◽  
pp. 200182
Author(s):  
Tingting Gan ◽  
Nanjing Zhao ◽  
Gaofang Yin ◽  
Min Chen ◽  
Xiang Wang ◽  
...  

Freshwater green algae Chlorella vulgaris was selected as an adsorbent, and a simple, rapid, economical and environmentally friendly method for the detection of heavy metal Cd in water samples based on preconcentration with C. vulgaris combined with energy dispersive X-ray fluorescence (EDXRF) spectrometry was proposed.  Chlorella vulgaris could directly and rapidly adsorb Cd 2+ without any pretreatment, and the maximum adsorption efficiency could be obtained when the contact time was 1 min with an optimal pH of 10. The obtained Cd-enriched thin samples after preconcentration with C. vulgaris by suction filtration of reaction solution had very good uniformity, which could be directly measured by EDXRF spectrometry, and the net integral fluorescence intensity of Cd K α characteristic peak had a very good linear relationship with the initial concentration of Cd in the range of 0.703–74.957 µg ml −1 with a correlation coefficient of 0.9979. When the Cd thin samples with a Cd-enriched region of 15.1 mm in diameter were formed by the developed preconcentration method with suction filtration of 10 ml reaction solution, the detection limit of this method was 0.0654 µg ml −1 , which was lower than the maximum allowable discharge concentration of Cd in various industrial wastewaters. The proposed method was simple to operate, and could effectively remove the influence of matrix effect of water samples and effectively improve the sensitivity and stability of EDXRF spectrometry directly detecting heavy metals in water samples, which was successfully applied to detect Cd in real water samples with satisfactory results, and the recoveries ranged from 94.80% to 116.94%. Moreover, this method can be applied to the rapid detection and early warning of excessive Cd in discharged industrial wastewaters. This work will provide a methodological basis for the development of rapid and online monitoring technology and instrument of heavy metal pollutants in water.

2018 ◽  
Vol 5 ◽  
pp. 173-182 ◽  
Author(s):  
M. Tholkappian ◽  
R. Ravisankar ◽  
A. Chandrasekaran ◽  
J. Prince Prakash Jebakumar ◽  
K.V. Kanagasabapathy ◽  
...  

2016 ◽  
Vol 31 (4) ◽  
pp. 968-974 ◽  
Author(s):  
Katarzyna Pytlakowska

A simple and effective speciation procedure for the determination of inorganic chromium species in water samples was developed.


2017 ◽  
Vol 40 (1) ◽  
pp. 21 ◽  
Author(s):  
R Ravisankar ◽  
N Harikrishnan ◽  
MSuresh Gandhi ◽  
KV Kanagasabapathy ◽  
M. V. R. Prasad ◽  
...  

2017 ◽  
Vol 7 (1) ◽  
pp. 36-39
Author(s):  
Nilay Akcay ◽  
Nevzat Batan ◽  
Yunus Cinar

Abstract In recent years, environmental safety associated with heavy metal levels of a tourism area and its surrounding areas has been one of the basic security for tourists health. Various methods have been used for measuring concentrations of heavy metal levels in these areas. Biomonitoring organisms such as mosses provide quantitative information on the quality of the environment around them, and they respond to pollution by altering their physiology or their ability to accumulate heavy metals. The aim of this study is to assess  the concentration of aluminum, manganese, iron, nickel, copper, and zinc levels in five different moss species collected around Camlihemsin district of Rize, by using Energy Dispersive X-ray Fluorescence (EDXRF) Spectrometry. The average concentrations of heavy metals in moss samples were found ranged from 3.8-8.3% for aluminum, 0.1-0.47% for manganese, 2.3-3.8% for iron, 38.8-74.2 ppm for nickel, 92.1-495.3 ppm for copper, 187.3-334 ppm for zinc. This study has shown that Abietinella abietina, Hypnum cupressiforme, Plagiomnium undulate, Rhytidium rugosum, and Thuidium tamariscinum samples were used to assess the potential contamination of Al, Mn, Fe, Ni, Cu, and Zn contamination in the region and made important contributions toward the understanding of Al, Mn, Fe, Ni, Cu, and Zn baseline data can be used for identification of changes in the levels of these heavy metals in the studied area. Keywords: Energy Dispersive X-ray Fluorescence (EDXRF) Spectrometry, heavy metals, moss, biomonitor, environment.  


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