prikaz prve stranice dokumenta Bioremediation of Battery Scrap Waste Contaminated Soils Using Coco Grass (Cyperus rotundus L.): A Prediction Modeling Study for Cadmium and Lead Phytoextraction
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Scientific paper - Original scientific paper
Bioremediation of Battery Scrap Waste Contaminated Soils Using Coco Grass (Cyperus rotundus L.): A Prediction Modeling Study for Cadmium and Lead Phytoextraction
Agriculture, 13 (2023), 7; 1411. https://doi.org/10.3390/agriculture13071411
AL-Huqail, Arwa A.; Taher, Mostafa A.; Širić, Ivan; Goala, Madhumita; Adelodun, Bashir; Choi, Kyung Sook; Kumar, Piyush; Kumar, Vinod; Kumar, Pankaj; Eid, Ebrahem M.

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AL Huqail, A. A., Taher, M. A., Širić, I., Goala, M., Adelodun, B., Choi, K. S. ... Eid, E. M. (2023). Bioremediation of Battery Scrap Waste Contaminated Soils Using Coco Grass (Cyperus rotundus L.): A Prediction Modeling Study for Cadmium and Lead Phytoextraction. Agriculture, 13. (7). doi: 10.3390/agriculture13071411

AL Huqail, Arwa A., et al. "Bioremediation of Battery Scrap Waste Contaminated Soils Using Coco Grass (Cyperus rotundus L.): A Prediction Modeling Study for Cadmium and Lead Phytoextraction." Agriculture, vol. 13, no. 7, 2023. https://doi.org/10.3390/agriculture13071411

AL Huqail, Arwa A., Mostafa A. Taher, Ivan Širić, Madhumita Goala, Bashir Adelodun, Kyung Sook Choi, Piyush Kumar, Vinod Kumar, Pankaj Kumar and Ebrahem M. Eid. "Bioremediation of Battery Scrap Waste Contaminated Soils Using Coco Grass (Cyperus rotundus L.): A Prediction Modeling Study for Cadmium and Lead Phytoextraction." Agriculture 13, no. 7 (2023). https://doi.org/10.3390/agriculture13071411

AL Huqail, A. A., et al. (2023) 'Bioremediation of Battery Scrap Waste Contaminated Soils Using Coco Grass (Cyperus rotundus L.): A Prediction Modeling Study for Cadmium and Lead Phytoextraction', Agriculture, 13(7). doi: 10.3390/agriculture13071411

AL Huqail AA, Taher MA, Širić I, Goala M, Adelodun B, Choi KS, and sur.. Bioremediation of Battery Scrap Waste Contaminated Soils Using Coco Grass (Cyperus rotundus L.): A Prediction Modeling Study for Cadmium and Lead Phytoextraction. Agriculture [Internet]. 2023 July 16 [cited 2025 March 15];13(7). doi: 10.3390/agriculture13071411

A. A. AL Huqail, et al., "Bioremediation of Battery Scrap Waste Contaminated Soils Using Coco Grass (Cyperus rotundus L.): A Prediction Modeling Study for Cadmium and Lead Phytoextraction", Agriculture, vol. 13, no. 7, July 2023. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:204:462210. [Accessed: 15 March 2025]

Metadata
Title (english)Bioremediation of Battery Scrap Waste Contaminated Soils Using Coco Grass (Cyperus rotundus L.): A Prediction Modeling Study for Cadmium and Lead Phytoextraction
AuthorArwa A. AL-Huqail
AuthorMostafa A. Taher
AuthorIvan Širić
AuthorMadhumita Goala
AuthorBashir Adelodun
AuthorKyung Sook Choi
AuthorPiyush Kumar
AuthorVinod Kumar
AuthorPankaj Kumar
AuthorEbrahem M. Eid
Author's institutionUniversity of Zagreb
Faculty of Agriculture
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Agronomy
Abstract (english)
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·kg−1) in root parts followed by the whole plant (277.43 and 76.10 mg·kg−1) and shoot (21.30 and 22.65 mg·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 (R2 > 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.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleAgriculture
Numberingvol. 13, no. 7, 1411
e-ISSN2077-0472
DOIhttps://doi.org/10.3390/agriculture13071411
URN:NBNurn:nbn:hr:204:462210
Publication2023-07-16
Document URLhttps://www.mdpi.com/2077-0472/13/7/1411
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2024-11-29 13:41:14