Coupling of Dissolved Organic Matter Molecular Fractionation with Iron and Sulfur Transformations during Sulfidation-Reoxidation Cycling.

Iron (oxyhydr)oxides and organic matter (OM) are intimately associated in natural environments, and their fate might be linked to sulfur during sulfidation-reoxidation cycling. However, the coupling of DOM molecular fractionation with Fe and S transformations following a full sulfidation-reoxidation cycle remains poorly understood. Here, we reacted Fh and Fh-OM associations with S(-II) anaerobically and then exposed the sulfidic systems to air. S(-II) preferentially reacted with Fh to form inorganic S (e.g., mackinawite, S0, and S22-) over being incorporated into OM as organic S and therefore indirectly affected OM fate by altering Fe speciation. Fh sulfidation was inhibited by associated OM, and the main secondary Fe species were mackinawite, Fe(II)-OM compounds, and lepidocrocite. Concomitantly, organic molecules high in unsaturation, aromaticity, and molecular weight were detached from solid-phase Fe species due to their lower affinities for secondary Fe species than for Fh. During the reoxidation stage, the previously formed Fe(II) species were reoxidized to Fh with a stronger aggregation, which recaptured formerly released OM with higher selectivity. Additionally, •OH was generated from Fe(II) oxygenation and degraded a portion of the DOM molecules. Overall, these results have significant implications for Fe, C, and S cycling in S-rich environments characterized by oscillating redox conditions.

Digital image processing technology under backpropagation neural network and K-Means Clustering algorithm on nitrogen utilization rate of Chinese cabbages.

The purposes are to monitor the nitrogen utilization efficiency of crops and intelligently evaluate the absorption of nutrients by crops during the production process. The research object is Chinese cabbage. The Chinese cabbage population with different agricultural parameters is constructed through different densities and nitrogen fertilizer application rates based on digital image processing technology, and an estimation NC (Nitrogen Content) model is established. The population is classified through the K-Means Clustering algorithm using the feature extraction method, and the Chinese cabbage population quality BPNN (Backpropagation Neural Network) model is constructed. The nonlinear mapping relationship between different agricultural parameters and population quality, and the contribution rate of each indicator, are studied. The nitrogen utilization of Chinese cabbage is monitored effectively. Results demonstrate that the proposed NC estimation model has correlation coefficients above 0.70 in different growth stages. This model can accurately estimate the NC of the Chinese cabbage population. The results of the Chinese cabbage population quality BPNN model show that the population planting density based on the seedling number is reasonable. The constructed population quality evaluation model has a high R2 value and a comparatively low RMSE (Root Mean Square Error) value for the quality evaluation of Chinese cabbage in different periods, showing that it applies to evaluate the population quality of Chinese cabbage in different growth stages. The constructed nitrogen utilization model and quality evaluation model can monitor the nutrient utilization of crops in different growth stages, ascertain the agricultural characteristics of other yield groups in different growth stages, and clarify the performance of agricultural parameters in different growth stages. The above results can provide some ideas for crop growth intelligent detection.

Conversion of cotton textile wastes into porous carbons by chemical activation with ZnCl2, H3PO4, and FeCl3.

In this study, ZnCl2, H3PO4, and FeCl3 were used as activating agents to prepare porous carbons (PC-ZnCl2, PC-H3PO4, and PC-FeCl3) from cotton textile wastes at a relativity low temperature. The morphology and structure of carbons were characterized by SEM and XRD demonstrating that carbons with porous property were successfully obtained. Textural properties showed that the PC-ZnCl2 possessed the largest specific surface area of 1854.70 m2 g-1 with mesopores domination. Both of micropores and mesopores existed in PC-H3PO4. Micropores were well developed in PC-FeCl3, and the proportion of which was the highest. The FTIR and pHpzc analysis indicated that all the carbons had acidic characteristics, and more acid functional groups were appeared on the PC-FeCl3 than others. The different pyrolysis activation paths were proposed by the thermogravimetric analysis, which proved that the addition of activating agents promoted the formation of pores, lowered the pyrolysis temperature of cotton textile wastes, and inhibited the production of volatiles. The results of adsorption kinetics and isotherm revealed that PC-ZnCl2 exhibited the best adsorption capacity of Cr(VI), and chemical adsorption played a significant role. Meanwhile, surface functional groups of porous carbons also participated in the Cr(VI) adsorption via electrostatic interaction and reduction reaction. Graphical abstract.

Response of sediment bacterial communities to the drainage of wastewater from aquaculture ponds in different seasons.

Bacterial communities play an important role in diffuse sediment pollution in aquaculture farms. Previous studies have revealed the short-term influence of wastewater drainage on the bacterial communities but the seasonal response of the sediment bacterial communities to wastewater drainage from aquaculture farms remains unclear. This study used the 16S rRNA approach to explore the profiles of bacterial communities over four seasons in a typical crab aquaculture farm that included a pond and an outlet ditch. Nineteen sediment samples and an equal number of water samples were collected and analysed during spring, summer, autumn, and winter during 2018-19. Our results showed that Proteobacteria, Chloroflexi, and Bacteroides were the predominant phyla in aquaculture pond sediment with the relative abundance of 28.95%, 17.32%, and 15.31%, respectively. The relative abundance of Proteobacteria and Bacteroides was higher in autumn and winter, and the relative abundance of Chloroflexi was highest in spring. The Shannon diversity index value ranged from 6.17 to 9.30 and showed significant positive correlation (P < 0.01) with the concentrations of TN, NH4+-N, and TP in the water. The variation in the bacterial community and relative abundance in outlet ditch sediment were consistent with those in the pond sediment. Our results show that determinisation of the bacterial community composition in the outlet ditch sediment provides a novel tool to monitor watersheds sensitive to the influence of aquacultures.

Prevalence and distribution analysis of antibiotic resistance genes in a large-scale aquaculture environment.

This study examined the profiles of antibiotic resistance genes (ARGs) in water and sediments from one large-scale freshwater pond farming system. A qPCR array was used to quantify ARGs (16S, Tetx, Tetw, TetG, Intll, and Sull) and microbial community structure was analyzed by 16S rRNA gene sequencing. A large number of ARGs (2 8 8) were detected. The ARG richness of the sediments was significantly higher than that of water and an average of 15 more genes were detected (p < 0.01). Sediment samples showed significantly higher taxonomic diversity and higher abundance of Gammaproteobacteria, Betaproteobacteria, and Flavobacteria. A significant correlation was observed between antibiotic resistance genes and breeding periods. The taxonomic diversity of the samples in ponds was significantly higher than that in ditch samples (p < 0.05), suggesting that pond farming systems could act as a local reservoir to spread ARGs into aquatic environments of rural communities.

Electro-kinetic remediation coupled with phytoremediation to remove lead, arsenic and cesium from contaminated paddy soil.

The objectives of this study were to investigate distribution and solubility of Pb, Cs and As in soils under electrokinetic field and examine the processes of coupled electrokinetic phytoremediation of polluted soils. The elevated bioavailability and bioaccumulation of Pb, As and Cs in paddy soil under an electro-kinetic field (EKF) were studied. The results show that the EKF treatment is effective on lowering soil pH to around 1.5 near the anode which is beneficial for the dissolution of metal(loid)s, thus increasing their overall solubility. The acidification in the anode soil efficiently increased the water soluble (SOL) and exchangeable (EXC) Pb, As and Cs, implying enhanced solubility and elevated overall potential bioavailability in the anode region while lower solubility in the cathode areas. Bioaccumulations of Pb, As and Cs were largely determined by the nature of elements, loading levels and EKF treatment. The native Pb in soil usually is not bioavailable. However, EKF treatment tends to transfer Pb to the SOL and EXC fractions improving the phytoextraction efficiency. Similarly, EKF transferred more EXC As and Cs to the SOL fraction significantly increasing their bioaccumulation in plant roots and shoots. Pb and As were accumulated more in plant roots than in shoots while Cs was accumulated more in shoots due to its similarity of chemical properties to potassium. Indian mustard, spinach and cabbage are good accumulators for Cs. Translocation of Pb, As and Cs from plant roots to shoots were enhanced by EKF. However, this study indicated the overall low phytoextraction efficiency of these plants.