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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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.

Citirajte ovaj rad

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, br. 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 i 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, br. 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, i 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]. 16.07.2023. [pristupljeno 29.11.2024.];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, br. 7, Srpanj 2023. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:204:462210. [Citirano: 29.11.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:204:462210
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Naslov (engleski)Bioremediation of Battery Scrap Waste Contaminated Soils Using Coco Grass (Cyperus rotundus L.): A Prediction Modeling Study for Cadmium and Lead Phytoextraction
AutorArwa A. AL-Huqail
AutorMostafa A. Taher
AutorIvan Širić
AutorMadhumita Goala
AutorBashir Adelodun
AutorKyung Sook Choi
AutorPiyush Kumar
AutorVinod Kumar
AutorPankaj Kumar
AutorEbrahem M. Eid
Autorova ustanovaSveučilište u Zagrebu
Agronomski fakultet
Znanstveno / umjetničko
područje, polje i grana		BIOTEHNIČKE ZNANOSTI
Poljoprivreda (agronomija)
Sažetak (engleski)
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.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaAgriculture
Brojčani podacivol. 13, br. 7, 1411
e-ISSN2077-0472
DOIhttps://doi.org/10.3390/agriculture13071411
URN:NBNurn:nbn:hr:204:462210
Datum objave publikacije2023-07-16
URL dokumentahttps://www.mdpi.com/2077-0472/13/7/1411
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2024-11-29 13:41:14