ORIGINAL RESEARCH
Dynamic Characterization of Combined
Toxicity Interaction of Heavy Metals Towards
Chlorella pyrenoidosa
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Key Laboratory of Water Pollution Control and Wastewater Resource of Anhui Province, College of Environment
and Energy Engineering, Anhui Jianzhu University, Hefei, China
Submission date: 2020-02-23
Final revision date: 2020-07-20
Acceptance date: 2020-08-18
Online publication date: 2021-01-29
Publication date: 2021-03-08
Corresponding author
Jin Zhang
College of Environment and Energy Engineering, Anhui Jianzhu University, Ziyun, 230601, Hefei, China
Pol. J. Environ. Stud. 2021;30(3):2395-2436
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ABSTRACT
Typical contaminants heavy metals are threatening the survival and health of organisms in the
aquatic ecosystem. Therefore, toxic effects and possible mechanisms of five heavy metals, copper (Cu),
manganese (Mn), cadmium (Cd), zinc (Zn), lead (Pb), and their mixtures towards Chlorella pyrenoidosa
(C. pyrenoidosa) were investigated by the time-dependent microplate toxicity analysis (t-MTA) method.
Here, direct equilibration ray method (EquRay) and uniform design ray method (UD-Ray) were used
to design ten binary and one quinary mixture systems, respectively. Then, a return-to-zero fitting
(RTZF) method was used to analyze toxicity interaction within mixture systems. According to RTZF,
one binary and quinary heavy metal mixture systems exhibit time-dependent and component-dependent
antagonism. Antagonism in Zn-Cd mixture system increases gradually from 24 to 48 h then decreases
gradually from 48 to 96 h. Toxicity interaction within quinary mixture changes from additive action to
antagonism and to additive action again over time. The change of chlorophyll-a reduction rate under
the action of different heavy metal is slightly different. The toxicity mechanism of copper on algal cells
include destruction of cell membrane and chloroplast structure.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
CITATIONS (3):
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