Bioremediation of Battery Scrap Waste Contaminated Soils Using Coco Grass (Cyperus rotundus L.): A Prediction Modeling Study for Cadmium and Lead Phytoextraction

被引:7
作者
AL-Huqail, Arwa A. [1 ]
Taher, Mostafa A. [2 ]
Siric, Ivan [3 ]
Goala, Madhumita [4 ]
Adelodun, Bashir [5 ,6 ]
Choi, Kyung Sook [6 ]
Kumar, Piyush [7 ]
Kumar, Vinod [8 ]
Kumar, Pankaj [8 ]
Eid, Ebrahem M. [9 ]
机构
[1] Princess Nourah Bint Abdulrahman Univ, Coll Sci, Dept Biol, POB 84428, Riyadh 11671, Saudi Arabia
[2] King Khalid Univ, Fac Sci & Arts, Biol Dept, Mohail Assir 61321, Saudi Arabia
[3] Univ Zagreb, Fac Agr, Svetosimunska 25, Zagreb 10000, Croatia
[4] Graph Era Deemed Univ, Dept Environm Sci, Dehra Dun 248002, India
[5] Univ Ilorin, Dept Agr & Biosyst Engn, PMB 1515, Ilorin 240103, Nigeria
[6] Kyungpook Natl Univ, Dept Agr Civil Engn, Daegu 41566, South Korea
[7] Vivek Coll Educ, Dept Sci, Moradabad Rd, Bijnor 246701, India
[8] Gurukula Kangri Deemed Univ, Dept Zool & Environm Sci, Agroecol & Pollut Res Lab, Haridwar 249404, India
[9] Kafrelsheikh Univ, Fac Sci, Bot Dept, Kafr Al Sheikh 33516, Egypt
来源
AGRICULTURE-BASEL | 2023年 / 13卷 / 07期
关键词
hazardous waste; heavy metals; mathematical models; phytoremediation; soil pollution; waste management; HEAVY-METALS; PHYTOREMEDIATION; WATER; BIOACCUMULATION; CHALLENGES; PURPLE;
D O I
10.3390/agriculture13071411
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
With the increasing demand for electronic devices that use batteries, e-waste is also becoming a major threat to the environment. Battery e-waste contains hazardous heavy metals that affect the health of the soil ecosystem. Thus, the present study evaluates the cadmium (Cd) and lead (Pb) phytoextraction potential of coco grass (Cyperus rotundus L.) grown in soils contaminated with battery scrap waste (BSW). Pot experiments were conducted to grow C. rotundus under different treatments (0%: control, T1: 1%, T2: 2%, T3: 3%, and T4: 4%) of BSW mixed with soil (w/w). The results showed that BSW mixing significantly (p < 0.05) increased the physicochemical properties and heavy metal (Cd and Pb) content in the soil. BSW mixing resulted in a reduction in growth and biochemical traits of C. rotundus and an increase in oxidative stress enzymes with an increase in BSW dose. The Pearson correlation studies also showed that soil HM concentration had a negative influence on the growth and biochemical parameters of C. rotundus. The bioaccumulation and translocation factor analysis showed that C. rotundus was a hyperaccumulator plant with a maximum accumulation of Cd and Pb (38.81 and 109.06 mg & BULL;kg(-1)) in root parts followed by the whole plant (277.43 and 76.10 mg & BULL;kg(-1)) and shoot (21.30 and 22.65 mg & BULL;kg(-1)) parts. Moreover, predictive models based on multiple linear regression (MLR) and artificial neural network (ANN) approaches were developed for Cd and Pb uptake by C. rotundus. Mathematical modeling results showed that soil properties were useful to construct quality MLR and ANN models with good determination coefficient (R-2 > 0.98), model efficiency (ME > 0.99), and low root mean square error (RMSE < 5.72). However, the fitness results of the ANN models performed better compared with those of the MLR models. Overall, this study presents an efficient and sustainable strategy to eradicate hazardous HMs by growing C. rotundus on BSW-contaminated soils and reducing its environmental and health consequences.
引用
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页数:18
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