2021
DOI: 10.1016/j.jhazmat.2021.126588
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Stabilization and passivation of multiple heavy metals in soil facilitating by pinecone-based biochar: Mechanisms and microbial community evolution

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Cited by 72 publications
(16 citation statements)
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“…Various functional groups identified on biochar surface through SEM analysis also support the possibility of surface complexation of metals with the organic functional groups, rendering the heavy metals immobile in the form of organo-metal complexes (Al-Wabel et al, 2017;Mehmood et al, 2018;Qi et al, 2018). It was also found that the addition of biochar has a significant effect in increasing the soil microbial community that can aid in the stabilization and passivation of the metals through the inorganic ion transport mechanism (Lan et al, 2021). Frontiers in Environmental Science frontiersin.org…”
Section: Heavy Metalsmentioning
confidence: 80%
“…Various functional groups identified on biochar surface through SEM analysis also support the possibility of surface complexation of metals with the organic functional groups, rendering the heavy metals immobile in the form of organo-metal complexes (Al-Wabel et al, 2017;Mehmood et al, 2018;Qi et al, 2018). It was also found that the addition of biochar has a significant effect in increasing the soil microbial community that can aid in the stabilization and passivation of the metals through the inorganic ion transport mechanism (Lan et al, 2021). Frontiers in Environmental Science frontiersin.org…”
Section: Heavy Metalsmentioning
confidence: 80%
“…e initial parameters of all models are set the same, and the specific settings are as follows: e maximum number of training rounds is 5000; the number of training samples in each round is 64; the random seed is 1; the maximum memory size is 500; the initial state of agent is [2,14]; the difference of training rounds between weight updates of Q network is 200; the learning rate of convolutional neural network is 0.001; the probability factor of e-greedy algorithm is 0.9. As can be seen, the abscissa is the number of training rounds, and the ordinate is the error between predicted value and observed value (mg/kg).…”
Section: Parameter Settingmentioning
confidence: 99%
“…Lan et al used pinealone-biochar to stably passivate Pb, Cu, Zn, Cr, and As in soil. As can be seen, the addition of pinealonebiochar and the coexistence of indigenous microorganisms can effectively reduce biological activity of heavy metals and accelerate passivation of heavy metals [2]. Khan Imran and Yang Dong et al found that silicon in soil has a certain detoxification mechanism for heavy metals, which provides a certain theoretical basis for reducing toxicity of heavy metals in soil [3,4].…”
Section: Introductionmentioning
confidence: 99%
“…Microbial application in metal-contaminated soil to avoid soil/plant toxicity has been reported as a viable approach as almost 60–80% of heavy metals are removed by bacterial species (Wei et al, 2020 ). However, Lan et al ( 2021 ) reported that the efficiency of bacteria in detoxifying the Cr 6+ , Pb 2+ , Zn 2+ , and Cu 2+ stress could be enhanced when applied in combination with pinecone-based biochar. A study by Li et al ( 2022 ) investigated that availability of HMs (Pb, Cd, and Zn) can be effectively reduced (Pb: 51.25%, Cd: 26.25%, and Zn: 34.25%) by the coexistence of bacterial species ( Pseudomonas, Bacillus, Lysobacter , and Brevundimonas ), Zn-doped biochar, and carbon aerogel nanoparticles.…”
Section: Introductionmentioning
confidence: 99%