Interactions of nanoscale zero valent iron and iron reducing bacteria in remediation of trichloroethene

Honetschlägerová, Lenka; Škarohlíd, Radek; Martinec, Marek; Šír, Marek; Luciano, Vittorio

doi:10.1016/j.ibiod.2017.10.009

Cited by 25 publications

(5 citation statements)

References 35 publications

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“…While in this study, iron deficiency was proved to be the main determinant for leaf chlorosis in A. catechu . The iron deficiency in the soil of A. catechu planting area might due to the low availability of the transition from ferric to ferrous ( Honetschlägerová et al, 2018 ). Iron has been extensively documented for its role in chlorophyll biosynthesis ( Hänsch and Mendel, 2009 ).…”

Section: Discussionmentioning

confidence: 99%

Iron Deficiency Leads to Chlorosis Through Impacting Chlorophyll Synthesis and Nitrogen Metabolism in Areca catechu L.

Cao

Jia

et al. 2021

Front. Plant Sci.

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Deficiency of certain elements can cause leaf chlorosis in Areca catechu L. trees, which causes considerable production loss. The linkage between nutrient deficiency and chlorosis phenomenon and physiological defect in A. catechu remains unclear. Here, we found that low iron supply is a determinant for chlorosis of A. catechu seedling, and excessive iron supply resulted in dark green leaves. We also observed morphological characters of A. catechu seedlings under different iron levels and compared their fresh weight, chlorophyll contents, chloroplast structures and photosynthetic activities. Results showed that iron deficiency directly caused chloroplast degeneration and reduced chlorophyll synthesis in chlorosis leaves, while excessive iron treatment can increase chlorophyll contents, chloroplasts sizes, and inflated starch granules. However, both excessive and deficient of iron decreases fresh weight and photosynthetic rate in A. catechu seedlings. Therefore, we applied transcriptomic and metabolomic approaches to understand the effect of different iron supply to A. catechu seedlings. The genes involved in nitrogen assimilation pathway, such as NR (nitrate reductase) and GOGAT (glutamate synthase), were significantly down-regulated under both iron deficiency and excessive iron. Moreover, the accumulation of organic acids and flavonoids indicated a potential way for A. catechu to endure iron deficiency. On the other hand, the up-regulation of POD-related genes was assumed to be a defense strategy against the excessive iron toxicity. Our data demonstrated that A. catechu is an iron-sensitive species, therefore the precise control of iron level is believed to be the key point for A. catechu cultivation.

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Section: Discussionmentioning

confidence: 99%

Iron Deficiency Leads to Chlorosis Through Impacting Chlorophyll Synthesis and Nitrogen Metabolism in Areca catechu L.

Cao

Jia

et al. 2021

Front. Plant Sci.

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“…50 It is common to all methanogenic bacteria and consists of three subunits: α, β, and γ with a stoichiometry of α2, β2, and γ2. 51 Acetate-CoA ligase participates in converting acetate to acetyl-CoA. Acetyl-CoA synthase is an enzyme having Fe-containing clusters at the active sites, 52 which indicates that Fe 2+ in R1 can promote the synthesis of acetyl-CoA synthase.…”

Section: ■ Results and Discussionmentioning

confidence: 99%

“…Methyl-coenzyme M reductase (also known as coenzyme B sulfethylthiotransferase) is a coenzyme that catalyzes the reduction of methyl-CoM to CH 4 and the production of CoM-S-S-CoB . It is common to all methanogenic bacteria and consists of three subunits: α, β, and γ with a stoichiometry of α2, β2, and γ2 . Acetate-CoA ligase participates in converting acetate to acetyl-CoA.…”

Section: Resultsmentioning

confidence: 99%

Bioelectrochemical Enhancement of Methanogenic Metabolism in Anaerobic Digestion of Food Waste Under Salt Stress Conditions

Xiao

Workie

et al. 2021

ACS Sustainable Chem. Eng.

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Bioelectrochemical anaerobic digestion, a promising concept, has been proven to improve anaerobic digestion (AD) performance in methane production. However, it has been challenged by the unstable performances attributed to high-salt stress in food waste (FW). In this study, an Fe anode-assisted bioelectrochemical anaerobic digester (R1) was proposed to facilitate FW treatment. Batch experiments were conducted under different salt stresses to understand the impact of Fe-carbon microbial electrolysis cells on the performance of AD of FW. The results indicated that R1 achieved the highest specific methane yield of 0.15 L/g VS·day–1 as compared with the controls after being exposed to 20 g/L Na+. As demonstrated from metagenomic and metaproteomics analysis, the gene abundance and enzyme activity of salt-tolerant microbial communities were improved with the presence of an Fe anode in AD, which might be achieved by participating in the biosynthesis of key kinases or altering the metabolic pathways of cells. Methanothrix, a dominant species of salt-tolerant methanogenic archaea, could rely on CO2 reduction by using iron electrodes as an electron contact to facilitate methane metabolism. The enzyme of sodium transport ATPase 5 capability in excreting Na+ from the cell and regulating the cell penetration was enriched in R1, thereby significantly improving the salt tolerance under high salinities.

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“…The previous study also mentioned that, due to the large surface of the ZVI, Fe 3+ could be found in the forms of FeOOH and Fe 3 O 4 after a direct reaction with water and oxygen [73]. However, Fe 3+ can be utilized by iron-reducing bacteria as an electron acceptor in degrading organic matter by converting Fe 3+ into Fe 2+ [75]. It is also interesting to note that the free electron can still be produced by oxidizing Fe 2+ into Fe 3+ , thus releasing more H + into the system (Equations ( 11)-( 13)) that is later oxidized into maghemite (FeOOH) as the end products (Equations ( 14) and ( 15)) [76].…”

Section: Substrate and Zvi Utilizationsmentioning

confidence: 99%

pH and Heat Pretreatments with Zero-Valent Iron Addition to Enhance Biogas Production from Cassava Pulp Wastewater: Optimization and Comparison of Mathematical Models

2023

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Pretreatments of pH and heat with zero-valent iron (ZVI) additions enhance anaerobic digestion and increase reducing sugar availability for optimum biogas production. This study aimed to optimize the conditions of different pH and heat pretreatment with additional ZVI to yield higher biogas amounts from the anaerobic digestion (AD) of cassava wastewater. Thirteen pH conditions, ten ZVI concentrations, and eleven heating periods were varied and measured to optimize the standard conditions. Four mathematical models that are widely used to evaluate the cumulative biogas production were employed, namely, the Modified Gompertz, Logistic, Transference, and Exponential models. The pretreatment of pH 10 and 35 min of boiling time with a ZVI concentration of 60 g·kg·TVS−1 produced the highest cumulative biogas at the end of the AD process. The Logistic and Modified Gompertz models were better fitted with the experimental data than the other models. Interestingly, the optimized conditions altered the biogas production rate but prolonged the lag phase. A reasonably positive correlation was also found between the FeOOH amount and biogas production rate in the LF and MG models. These optimal fitted models, kinetics parameters, and possible correlations are novel findings that can help develop extensive scale developments for biogas generation from cassava wastewater.

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Interactions of nanoscale zero valent iron and iron reducing bacteria in remediation of trichloroethene

Cited by 25 publications

References 35 publications

Iron Deficiency Leads to Chlorosis Through Impacting Chlorophyll Synthesis and Nitrogen Metabolism in Areca catechu L.

Iron Deficiency Leads to Chlorosis Through Impacting Chlorophyll Synthesis and Nitrogen Metabolism in Areca catechu L.

Bioelectrochemical Enhancement of Methanogenic Metabolism in Anaerobic Digestion of Food Waste Under Salt Stress Conditions

pH and Heat Pretreatments with Zero-Valent Iron Addition to Enhance Biogas Production from Cassava Pulp Wastewater: Optimization and Comparison of Mathematical Models

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