A systematic review and meta-analysis of lead and cadmium concentrations in cow milk in Iran and human health risk assessment

The aim of the current research was to systematically review and summarize the studies that evaluated the concentration of lead (Pb) and cadmium (Cd) in cow milk in different regions of Iran and to perform a meta-analysis of the findings. Moreover, the non-carcinogenic and carcinogenic risks of Pb and Cd through milk consumption in adult and child consumers were assessed. As a result of a systematic search in the international and national databases between January 2008 and October 2018, 17 reports involving 1874 samples were incorporated in our study for meta-analysis. The pooled concentrations of Pb and Cd were estimated to be 13.95 μg mL−1 (95% CI 9.72–18.11 μg mL−1) and 3.55 μg mL−1 (95% CI − 2.38–9.48 μg mL−1), respectively, which were lower than the WHO/FAO and national standard limits. The estimated weekly intake (EWI) of Pb and Cd through consuming milk was 16.65 and 7 μg day−1 for adults of 70 kg and 45 and 34 μg day−1 for children of 26 kg, respectively, which was well below the risk values set by Joint FAO/WHO Expert Committee on Food Additives (JECFA). The maximum target hazard quotient values (THQs) of Pb and Cd were 5.55E−5 and 5.55E−5 for adults and 5.55E−5 and 5.55E−5 for children, respectively, which were lower than 1 value, suggesting that Iranian consumers are not exposed to non-carcinogenic risk through consuming milk. Moreover, the incremental lifetime cancer risk (ILCR) of Pb estimated to be 2.96E−04 in adults and 1.0E−03 in children, indicating that consumers in Iran are at threshold carcinogenic risk of Pb through consuming milk (ILCR > 10−4). Therefore, planning and policy making for the sustainable reduction of these toxic metals in milk, particularly in industrial regions of Iran, are crucial.     

Leaching of nitrogen from calcareous soils in western Iran: a soil leaching column study

Nitrogen (N) leaching has become a matter of worldwide concern. The objectives of this study were: (1) to use soil columns to investigate the leaching of nitrate ( $ {\text{NO}}_3^{ - } $ ), ammonium ( $ {\text{NH}}_4^{ + } $ ), and nitrite ( $ {\text{NO}}_2^{ - } $ ) from calcareous soils that had received an average of 200?kg^?1 N?ha^?1?year^?1 for the previous 30?years and (2) to determine the relationship between soil properties and $ {\text{NO}}_3^{ - } $ , $ {\text{NH}}_4^{ + } $ , and $ {\text{NO}}_2^{ - } $ leaching. The soils used in this study ranged in texture from clay to sandy loam. Leaching experiments were conducted under saturation conditions and consisted of the collection of 1,047–2,524?mL of leachate (12 pore volumes (PVs)), which was equivalent to 534–1,286?mm from rainfall or irrigation. Losses of $ {\text{NO}}_3^{ - } $ ranged from 62 to 437?kg?ha^?1, while losses of $ {\text{NH}}_4^{ + } $ and $ {\text{NO}}_2^{ - } $ ranged from 2.5 to 19.3?kg?ha^?1 and 0.1 to 10.6?kg?ha^?1, respectively. Leaching rates differed between soil samples. The initial and secondary rate of $ {\text{NO}}_3^{ - } $ leaching was determined using an exponential model, and it ranged from 2.8 to 14.7?mg?kg^?1 PV^?1 and 0.11 to 0.32?mg?kg^?1 PV^?1. Greater leaching rates in the initial period could be due to leaching of $ {\text{NO}}_3^{ - } $ in solution, while the secondary leaching might be attributable to the diffusion-controlled transfer of $ {\text{NO}}_3^{ - } $ between mobile and immobile liquid phases. Analysis of variance indicated that the effects of soil type on total $ {\text{NO}}_3^{ - } $ leaching were highly significant (p?<?0.001). The results showed that soil $ {\text{NO}}_3^{ - } $ concentration was positively correlated with the peak concentration of $ {\text{NO}}_3^{ - } $ (r?=?0.86; p?<?0.01) and the total $ {\text{NO}}_3^{ - } $ leached (r?=?0.93; p?<?0.01). In addition, the total $ {\text{NH}}_4^{ + } $ leached was positively correlated with silt (r?=?0.67; p?<?0.05), clay (r?=?0.61; p?<?0.05), and pH (r?=?0.77; p?<?0.01), which suggests that soil parameters might be useful indicators of $ {\text{NO}}_3^{ - } $ and $ {\text{NH}}_4^{ + } $ leaching from calcareous soils. Nitrate leaching from soils could threaten groundwater supplies, so possible strategies for minimizing $ {\text{NO}}_3^{ - } $ leaching losses may need to be considered.     

Effects of TiO2 nanoparticles on the aquatic plant Spirodela polyrrhiza: Evaluation of growth parameters, pigment contents and antioxidant enzyme activities

Plants are essential components of all ecosystems and play a critical role in environmental fate of nanoparticles. However, the toxicological impacts of nanoparticles on plants are not well documented. Titanium dioxide nanoparticles (TiO₂-NPs) are produced worldwide in large quantities for a wide range of purposes. In the present study, the uptake of TiO₂-NPs by the aquatic plant Spirodela polyrrhiza and the consequent effects on the plant were evaluated. Initially, structural and morphological characteristics of the used TiO₂-NPs were determined using XRD, SEM, TEM and BET techniques. As a result, an anatase structure with the average crystalline size of 8nm was confirmed for the synthesized TiO₂-NPs. Subsequently, entrance of TiO₂-NP_S to plant roots was verified by fluorescence microscopic images. Activity of a number of antioxidant enzymes, as well as, changes in growth parameters and photosynthetic pigment contents as physiological indices were assessed to investigate the effects of TiO₂-NPs on S. polyrrhiza. The increasing concentration of TiO₂-NPs led to the significant decrease in all of the growth parameters and changes in antioxidant enzyme activities. The activity of superoxide dismutase enhanced significantly by the increasing concentration of TiO₂-NPs. Enhancement of superoxide dismutase activity could be explained as promoting antioxidant system to scavenging the reactive oxygen species. In contrast, the activity of peroxidase was notably decreased in the treated plants. Reduced peroxidase activity could be attributed to either direct effect of these particles on the molecular structure of the enzyme or plant defense system damage due to reactive oxygen species.     

Multivariate statistical techniques for the assessment of seasonal variations in surface water quality of pasture ecosystems

This study investigates the applicability of multivariate statistical techniques including cluster analysis (CA), discriminant analysis (DA), and factor analysis (FA) for the assessment of seasonal variations in the surface water quality of tropical pastures. The study was carried out in the TPU catchment, Kuala Lumpur, Malaysia. The dataset consisted of 1-year monitoring of 14 parameters at six sampling sites. The CA yielded two groups of similarity between the sampling sites, i.e., less polluted (LP) and moderately polluted (MP) at temporal scale. Fecal coliform (FC), NO₃, DO, and pH were significantly related to the stream grouping in the dry season, whereas NH₃, BOD, Escherichia coli, and FC were significantly related to the stream grouping in the rainy season. The best predictors for distinguishing clusters in temporal scale were FC, NH₃, and E. coli, respectively. FC, E. coli, and BOD with strong positive loadings were introduced as the first varifactors in the dry season which indicates the biological source of variability. EC with a strong positive loading and DO with a strong negative loading were introduced as the first varifactors in the rainy season, which represents the physiochemical source of variability. Multivariate statistical techniques were effective analytical techniques for classification and processing of large datasets of water quality and the identification of major sources of water pollution in tropical pastures.     

Reaction rate constants in simulation of underground coal gasification using porous medium approach

Underground coal gasification (UCG) is an emerging energy technology for a cleaner type of coal extraction method. It avoids current coal mining challenges such as drastic changes to landscapes, high machinery costs, elevated risks to personnel, and post-extraction transport. UCG has a huge potential to provide a clean coal energy source by implementing carbon capture and storage techniques as part of the process. In order to support mitigation strategies for clean coal production and policy development, much research needs to be completed. One component of this information is the need to understand what happens when the coal burns and a subsurface cavity is formed. This paper looks at the efforts to enhance reliable prediction of the size and shape of the cavities. Reactions are one of the most important mechanisms that control the rate of the growth of the cavities. Therefore, modeling the reactions and precise prediction of reaction kinetics can influence the accuracy of a UCG process. The produced syngas composition during UCG is closely linked to the reactions that take place in this process, the permeability of the coal seam, and the temperature distribution. Since the combination of reactions can influence the distributions of the heat and gas components in the coal seam during UCG or even extinguish the combustion, accurate modeling of the reactions is crucial, particularly when all phenomena affecting the reaction rate are considered in a single set of kinetics. In this study, procedures are proposed to estimate the frequency factor and activation energy of the pyrolysis reaction using a single-step decomposition method, the kinetics of the endothermic direction of homogeneous reversible reactions, and the frequency factor of heterogeneous reactions from experiments or literature data. The estimated kinetics is more appropriate for simulation of the UCG process using the porous medium approach. Computer Modelling Group’s CMG-STARS (Steam, Thermal, and Advanced Processes Reservoir Simulator) software is used in this study.     

Electrochemical hydride generation of tin(II) and its determination by electrothermal atomic absorption spectrometry with in situ trapping in the graphite tube atomizer

An electrolytic hydride generation system for the determination of tin(II) by means of batch electrochemical hydride generation-electrothermal atomic absorption spectrometry (EcHG-ETAAS) with in situ trapping in a graphite tube atomizer is described. The effects of four permanent chemical modifiers – palladium, tungsten, iridium, and platinum – for graphite tube treatment on analyte absorbance and the effects of four cathode materials, i.e., Pb, Sn, Pb–Sn alloy, and glassy carbon, are checked. Three electrolytes, i.e., nitric acid, sulfuric acid, and hydrochloric acid, are examined as catholyte solutions. The influence of several parameters on EcHG is investigated using multivariate and univariate methods. Interferences of some concomitant ions are evaluated. The calibration curve is linear from 1 to 200?µg?L^?1, with a detection limit of 0.8?µg?L^?1 and a relative standard deviation of 6.2% (n?=?3) for 100?µg?L^?1 Sn(II). The proposed method was successfully applied in the analysis of real environmental water samples and reference materials, and good spiked recoveries over the range of 93.1–115% were obtained. The proposed technique provides a means for developing hydride generation of other elements.     

Determination of arsenic in air particulates and diesel exhaust particulates by spectrophotometry

A method was developed for the determination of trace arsenic by spectrophotometry. The proposed method is rapid, simple,and inexpensive. This method can be used for sensitive determination of trace arsenic in environmental samples and especially in air particulates. The results obtained by this method as a proposed method were compared with those obtained by hydride generation atomic absorption spectrometry as a popular reported method for the determination of arsenic and an excellent agreement was found between them. The method was also used for determination of arsenic associated with airborne particulate matter and diesel exhaust particulates.The results showed that considerable amount of arsenic are associated with diesel engine particulates. The variation in concentration of arsenic was also investigated. The atmospheric concentration of arsenic was different in different sampling stations was dependent to the traffic density.     

Source identification of polycyclic aromatic hydrocarbons (PAHs) in sediment samples from the northern part of the Persian Gulf,Iran

Samples of surface sediments from the Iranian coast of the Persian Gulf were examined to determine the levels and sources of 15 polycyclic aromatic hydrocarbons (PAHs). Samples were collected from 30 sampling sites and analyzed for PAHs by gas chromatography–mass spectrometry (GC-MS). Total concentrations of PAHs ranged from 93 to 4,077 ng g^?1 dry weight. The PAH composition from 30 sampling sites was dominated by four-ring PAH compounds. Molecular indices based on the ratios of PAH concentrations were used to differentiate PAHs from pyrolitic to petrogenic and mixed origins. The results suggested that the main sources of PAHs in sediments from the studied region were mixed pyrolitic and petrogenic. Furthermore, benthic organisms in most of the investigated areas were not at ecotoxicological risk, according to the results from the effects range low (ERL)/effects range median (ERM) techniques suggested by the US Sediment Quality Guidelines (SQGs).     

The potential use of ultrasound-assisted bleaching in removing heavy metals and pigments from soybean oil using kinetic,thermodynamic and equilibrium modeling

Environmental Science and Pollution Research - In this research, the sorption behavior (kinetic, isotherm, and thermodynamic modeling) of heavy metals (Cu (II) and Fe (II)) and pigments (carotenoid...     

Temporospatial variation and health risk assessment of trihalomethanes (THMs) in drinking water (northwest Iran)

Environmental Science and Pollution Research - Trihalomethanes (THMs) are one of the most common classes of disinfection by-products. In this study, the temporospatial trends and health risks due...