Health risk assessment of trace metals from spinach grown on compost-amended soil

Impact of Cadmium Contamination on Fertilizer Value and Associated Health Risks in Different Soil Types Following Anaerobic Digestate Application

Cadmium (Cd) contamination in the soil potentially hampers microbial biomass and adversely affects their services such as decomposition and mineralization of organic matter. It can reduce nitrogen (N) metabolism and consequently affect plant growth and physiology. Further, Cd accumulation in plants can pose health risks through vegetable consumption. Here, we investigated consequences of Cd contamination on fertilizer value and associated health risks following the application of biogas residues (BGR) to various soil types. Our results indicate that the application of BGR to all soil types significantly increased dry matter (DM) yield and N uptake. However, the Cd contamination negatively affected DM yield and N recovery from BGR in a dose-dependent manner. Organic N mineralization from BGR also decreased in Cd-contaminated soils. The highest DM yield and N recovery were recorded in sandy soil, whereas the lowest values were observed in clay soil. Cadmium was accumulated in spinach, and health risk index (HRI) associated with its dietary intake revealed that consuming spinach grown in Cd-contaminated soil, with or without BGR, is unsafe. Among the soil types, values of daily intake of metals (DIM) and HRI were lowest in clay soil and highest in sandy soil. However, the application of BGR curtailed HRI across all soil types. Notably, the application of BGR alone resulted in HRI values < 1, which are under the safe limit. We conclude that soil contamination with Cd reduces fertilizer value and entails implications for human health. However, the application of BGR to the soil can decrease Cd effects.

Health Risk Assessment of Heavy Metals Due to Wheat, Cabbage, and Spinach Consumption at Cold-Arid High Altitude Region

Soil and water from the trans-Himalayan high-altitude region contain high concentrations of various heavy metals. Vegetables and cereals such as cabbage, spinach, and wheat are most prone to heavy metal accumulation from soil and water which can be toxic for human consumption. It has yet to be studied how consumption of vegetables and cereal with excess heavy metal content can affect human health in high altitude areas. To this end, the objectives of this study are (a) quantify the concentrations of Aluminum (Al), Iron (Fe), Cobalt (Co), Boron (B), Lead (Pb), Arsenic (As), Cadmium (Cd), Selenium (Se), Copper (Cu), and Zinc (Zn) in three crops (wheat, cabbage, and spinach), and (b) evaluate the health risk of excess dietary heavy metal consumption in the local adult population using non-carcinogenic and carcinogenic parameters. A total of 60 samples were analyzed for minerals and potentially toxic elements using Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES). Results found that spinach has a high mineral content than wheat and cabbage. The estimated daily intake (EDI) of each metal in each crop was less than the limit of permissible value. The hazard index (HI) of three plant species, and target hazard quotient (THQ) were less than the threshold level (< 1). The carcinogenic risk (CR) value in all the crops was less than the unacceptable risk level (1 × 10^-4). These findings suggest that consumption of wheat, spinach, and cabbage does not have any significant effect on human health due to presence of elevated heavy metals at this high altitude region. .

Drivers of Residents’ Home Composting Intention: Integrating the Theory of Planned Behavior, the Norm Activation Model, and the Moderating Role of Composting Knowledge

Home composting is judged as an effective municipal waste management option in which household contribution is essential, but it has a low adoption. The objectives of the study were to determine the factors that influence home composting intention and identify the moderating role of composting knowledge in the model, using the combined model of the theory of planned behavior (TPB) and norm activation model (NAM). A structured questionnaire was applied to a sample of 367 residents of Isfahan city, Iran, randomly selected. Data were analyzed using cluster analysis, discriminant analysis, PLS-SEM, and PLS-MGA. Cluster analysis grouped the three clusters based on the constructs of the integrated model, and this result was confirmed by discriminant analysis. Findings show that attitude, subjective norm, and perceived behavior control can predict the intention to compost. Study results confirmed the positive effect of awareness of the consequences of composting on ascribed responsibility to compost at home, of responsibility to the personal norm, and of the personal norm on intention to compost at home. Furthermore, it was observed that composting knowledge moderates the relationship between subjective norm and behavioral intention, and the one between perceived behavioral control and behavioral intention. The integrated model had more predictive power than the TPB model. The fit statistic of the integrated model was good and 71% of the variance for intention behavior toward home composting. The insights on factors affecting residents’ intention to compost obtained from this study can be used in measures and programs that reinforce and stimulate home composting.