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Metal(loid)s are contaminants of concern emitted as particulate matter (PM) from several pollution sources. The objective was to characterize potential exposure from local airborne metal(loid)s in a community in proximity to mine tailings. Air samples were collected weekly at five sites around the municipal mine tailings using two Hi-volume samplers for simultaneously collecting PM(10) and PM(2.5). Total suspended particulates (TSP), concentrations, speciation, and bioaccessibility of metal(loid)s were quantified. The size and form of particles were determined by scanning electron microscopy. The concentration of TSP (μg m(−3)) in the airborne samples ranged from 21.2 to 64.6 for PM(2.5) and 23.6 to 80.1 for PM(10). The profiles of analyzed quasi-total metal(loid) concentration from all sampling sites were similar between these aerosols PM sizes except at site 2 for Cd, at site 3 for Cu, and site 4 for Zn. The order of quasi-total metal(loid) concentration, in the airborne samples for both PM sizes, was As > Zn > Fe > Pb > Cu > Mn > Cd. As speciation included As-sulfite, As(III)-O, and As(V)-O with less concentration of As(III)-O in both PM sizes. Bioaccessible metal(loid) concentrations were very high and represented a great percentage from the quasi-total airborne concentrations, for instance, 10% and 37% for Pb and 8% and 6% for As in pulmonary and gastric bioaccessible concentrations, respectively. Knowing the toxic effects of these pollutants, there is an urgent need to establish environmental regulation of bioaccessible pollutant concentrations from PM dislodged from uncovered metal(loid) mine tailings affecting not only nearby human populations but also possible long-distance ecosystem transport.

Environmental concern related to Ag+ release from conventional AgNPs is expected to be prevented once contained into a magnetic core like magnetite or CoFe2O4. Accordingly, we obtained CoFe2O4 NPs by microwave-assisted synthesis, which AgNO3 addition rendered Ag@CoFe2O4 NPs. NPs were characterized, and before exploring potential applications, we carried out 7-day wheat toxicity assays. Seed germination and seedling growth were used as toxicity endpoints and photosynthetic pigments and antioxidant enzymes as oxidative stress biomarkers. Total Fe, Co, and Ag determination was initial indicative of Ag@CoFe2O4 NPs uptake by plants. Then NPs localization in seedling tissues was sought by scanning electron microscopy (SEM) and darkfield hyperspectral imaging (DF-HSI). Not any silver ion (Ag+) was detected into the ferrite structure, but results only confirmed the presence of metallic silver (Ag0) adsorbed on the CoFe2O4 NPs surface. Agglomerates of Ag@CoFe2O4 NPs (~10 nm) were fivefold smaller than CoFe2O4 NPs, and ferrimagnetic properties of the CoFe2O4 NPs were conserved after the formation of the Ag@CoFe2O4 composite NPs. Seed germination was not affected by NPs, but root and shoot lengths of seedlings diminished 50% at 54.89 mg/kg and 168.18 mg/kg NPs, respectively. Nonetheless, hormesis was observed in roots of plants exposed to lower Ag@CoFe2O4 NPs treatments. Photosynthetic pigments and the antioxidant enzymes catalase (CAT), superoxide dismutase (SOD), guaiacol peroxidase (GPX), and ascorbate peroxidase (APX) indicated oxidative damage by reactive oxygen species (ROS) generation. SEM suggested NPs presence in shoots and roots, whereas DF-HSI confirmed some Ag@CoFe2O4 NPs contained in shoots of wheat plants.

We investigated the possible transgenerational transfer of bacterial seed endophytes across three consecutive seed generations of Crotalaria pumila growing on a metal mining site in Mexico. Seeds were collected during three successive years in the semi-arid region of Zimapan, Mexico. Total communities of seed endophytes were investigated using DNA extraction from surface sterilized seeds and 454 pyrosequencing of the V5-V7 hypervariable regions of the 16S rRNA gene. The communities consisted of an average of 75 operational taxonomic units (OTUs); richness and diversity did not change across years. Methylobacterium, Staphylococcus, Corynebacterium, Propionibacterium and eight other OTUs constituted >60% of the community in each generation. The microbiome was dominated by Methylobacterium (present in >80% of samples). Functions associated with the microbiome were C and N fixation, oxidative phosphorylation and photosynthesis activity. The bacterial endophytic communities were similar across three consecutive seed generations. Among the core microbiome Methylobacterium strains were the most abundant and they can contribute to nutrient acquisition, plant growth promotion and stress resilience to their host in metal contaminated mine residues. Identification of the seed microbiome of C. pumila may lead to novel and more efficient inoculants for microbe-assisted phytoremediation.

In the present work, we analyzed the linear and nonlinear model suitabilities for adsorption data from aqueous As(III) removal by manganese ferrite nanoparticles (NPs). Hence, As(III) adsorption onto ferrite NPs was formerly analyzed by the intraparticle diffusion model (IPD). Then, adsorption kinetics was described by the pseudo-first-order (PFO), pseudo-second-order (PSO), and Elovich models, while equilibrium adsorption was fitted to the Freundlich and Langmuir isotherms. Linear and nonlinear kinetic and isotherm models were solved and compared. The nonlinear data fitting was applied through the lsqcurvefit user-defined function (Matlab ver. 7.10.0). The initial adsorption rate was influenced by intraparticle diffusion and surface or film diffusion from the arsenic bulk solution to ferrite NPs, according to the IPD model. Adsorption kinetics of As(III) on manganese ferrite NPs was better described by the PSO model, followed by the Elovich model and then the PFO model. Equilibrium adsorption data were only worthily described by the Freundlich isotherm model. While the PSO, Elovich and Freundlich linear models showed even better fit than the nonlinear models, determinant bias was depicted for the PFO and Langmuir linear models. Thus, to use nonlinear adsorption models is highly advisable, having the Matlab lsqcurvefit function been proven very useful to face such task.

Previous research suggested that Ricinus communis may be used for soil remediation and oil production. However, the quality of the oil and bioproducts under polluted conditions need to be tested to be assured of their potential use in biofuel production with environmentally friendly bioproducts (cake, seed coats and biomass). Oil characteristics and metal concentrations in oil, cake (de-oiled seeds) and seed coats, as well as the shoot carbon content were analyzed. The oil contents of palmitic and oleic acids from plants growing in polluted mine tailings were comparable to those for plants grown under non-polluted conditions. Linoleic acid content was significantly higher in oil of plants from mine tailings, which enriches the fuel properties. Cadmium and lead were mainly concentrated in the seed coat, whereas copper in the cake. Castor bean oil had low concentrations of cadmium, lead, zinc, nickel, manganese and copper-free. Cake and seed coats can be useful for soil fertilization applications since the metal concentrations are below safety regulations. The biomass carbon was around 43 %, which suggests it may be used for biogas production. These properties make castor bean valuable for its oil and bioproducts even when growing at metal-polluted sites. However, agronomic optimization is needed in order to produce higher plant productivity.