Biological activity and bioavailability of grain bound 14C‐malathion residues in rats

Abstract

Paddy (unmilled rice), milled rice and maize‐bound ¹⁴C residues were prepared using ¹⁴C‐succinate‐labelled malathion at 10 and 152 ppm. After 3 months, the bound residues accounted for 12%, 6.5% and 17.7% of the applied dose in paddy, milled rice and maize respectively in the grains treated at 10 ppm. The corresponding values for the 152 ppm were 16.6%, 8.5% and 18.8%. Rats fed milled rice ‐ bound ¹⁴C‐residues eliminated 61% of the ¹⁴C in the faeces and 28% in the urine. The corresponding percentages for paddy and maize were 72%, 9% and 53%, 41% respectively; indicating that bound residues from milled rice and maize were moderately bioavailable. When rice‐bound malathion residues (0.65 ppm in feed) were administered to rats in a 5 week feeding study, no signs of toxicity were observed. Plasma and RBC cholinesterase activities were slightly inhibited: blood urea nitrogen was significantly elevated in the test animals. Other parameters examined showed no or marginal changes.     

Equilibrium, kinetic, and thermodynamic biosorption of Pb(II), Cr(III), and Cd(II) ions by dead anaerobic biomass from synthetic wastewater

Purpose

Heavy metals are toxic pollutants released into the environment as a result of different industrial activities. Biosorption of heavy metals from aqueous solutions is a new technology for the treatment of industrial wastewater. The aim of the present research is to highlight the basic biosorption theory to heavy metal removal.

Materials and methods

Heterogeneous cultures mostly dried anaerobic bacteria, yeast (fungi), and protozoa were used as low-cost material to remove metallic cations Pb(II), Cr(III), and Cd(II) from synthetic wastewater. Competitive biosorption of these metals was studied.

Results

The main biosorption mechanisms were complexation and physical adsorption onto natural active functional groups. It is observed that biosorption of these metals was a surface process. The main functional groups involved in these processes were hydroxyl (–OH) and carboxylic groups (C=O) with 37, 52, and 31 and 21, 14, and 34 % removal of Pb(II), Cr(III), and Cd(II), respectively. Langmuir was the best model for a single system. While extended Langmuir was the best model for binary and ternary metal systems. The maximum uptake capacities were 54.92, 34.78, and 29.99 mg/g and pore diffusion coefficients were 7.23, 3.15, and 2.76?×?10^?11 m²/s for Pb(II), Cr(III), and Cd(II), respectively. Optimum pH was found to be 4. Pseudo-second-order was the best model to predict the kinetic process. Biosorption process was exothermic and physical in nature.

Conclusions

Pb(II) offers the strongest component that is able to displace Cr(III) and Cd(II) from their sites, while Cd(II) ions are the weakest adsorbed component.     

Ozone levels in the empty quarter of Saudi Arabia—application of adaptive neuro-fuzzy model

In arid regions, primary pollutants may contribute to the increase of ozone levels and cause negative effects on biotic health. This study investigates the use of adaptive neuro-fuzzy inference system (ANFIS) for ozone prediction. The initial fuzzy inference system is developed by using fuzzy C-means (FCM) and subtractive clustering (SC) algorithms, which determines the important rules, increases generalization capability of the fuzzy inference system, reduces computational needs, and ensures speedy model development. The study area is located in the Empty Quarter of Saudi Arabia, which is considered as a source of huge potential for oil and gas field development. The developed clustering algorithm-based ANFIS model used meteorological data and derived meteorological data, along with NO and NO₂ concentrations and their transformations, as inputs. The root mean square error and Willmott’s index of agreement of the FCM- and SC-based ANFIS models are 3.5 ppbv and 0.99, and 8.9 ppbv and 0.95, respectively. Based on the analysis of the performance measures and regression error characteristic curves, it is concluded that the FCM-based ANFIS model outperforms the SC-based ANFIS model.     

Direct and indirect impact of sewage sludge compost spreading on Quercus coccifera monoterpene emissions in a Mediterranean shrubland

Monoterpene emissions of Quercus coccifera L. were repeatedly measured during the two years following the spreading of a sewage sludge compost at rates of 50 Mg ha⁻¹ and 100 Mg ha⁻¹, in a twelve-year-old post-fire Mediterranean shrubland. We also monitored the patterns of change in soil and leaf nutrient content, plant water potential, chlorophyll fluorescence, and plant growth. Compost spreading resulted in weak changes in leaf nutrient content and plant water status, and therefore no significant effect on monoterpene emissions at leaf scale, except during one summer sampling, probably related to advanced leaf maturity with the highest compost rate. However, compost increased plant growth, particularly the leaf biomass. The results suggest that compost spreading in Mediterranean shrublands has no strong short-term effect on Q. coccifera monoterpene emissions at leaf level, but may indirectly increase volatile organic compound fluxes at the stand scale, which may contribute to regional ozone pollution.     

Radical scavenging and antiproliferative effect of novel phenolic derivatives isolated from Nerium indicum against human breast cancer cell line (MCF-7)—an in silico and in vitro approach

Environmental Science and Pollution Research - Multiple drug resistance and increased side effects due to allopathic drugs has warned scientific community with a global alarm to identify molecules...     

Pollution and biodegradation of hexabromocyclododecanes: A review

• Bioremediation is the most cost-effective approach for degradation of HBCDs. • Bacteria or bacterial consortia are used in the cases of bio-augmentation. • Microbes combined with phytoremediation increase the remediation efficiency. Hexabromocyclododecanes (HBCDs) are the most common brominated flame-retardants after polybrominated diphenyl ethers. HBCDs can induce cancer by causing inappropriate antidiuretic hormone syndrome. Environmental contamination with HBCDs has been detected globally, with concentrations ranging from ng to mg. Methods to degrade HBCDs include physicochemical methods, bioremediation, and phytoremediation. The photodegradation of HBCDs using simulated sunlight or ultraviolet lamps, or chemical catalysts are inefficient and expensive, as is physicochemical degradation. Consequently, bioremediation is considered as the most cost-effective and clean approach. To date, five bacterial strains capable of degrading HBCDs have been isolated and identified: Pseudomonas sp. HB01, Bacillus sp. HBCD-sjtu, Achromobacter sp. HBCD-1, Achromobacter sp. HBCD-2, and Pseudomonas aeruginosa HS9. The molecular mechanisms of biodegradation of HBCDs are discussed in this review. New microbial resources should be explored to increase the resource library in order to identify more HBCD-degrading microbes and functional genes. Synthetic biology methods may be exploited to accelerate the biodegradation capability of existing bacteria, including modification of the degrading strains or functional enzymes, and artificial construction of the degradation microflora. The most potentially useful method is combining micro-degradation with physicochemical methods and phytoremediation. For example, exogenous microorganisms might be used to stimulate the adsorption capability of plants for HBCDs, or to utilize an interaction between exogenous microorganisms and rhizosphere microorganisms to form a new rhizosphere microbial community to enhance the biodegradation and absorption of HBCDs.     

Growth and physiological response of spinach to various lithium concentrations in soil

Environmental Science and Pollution Research - Lithium (Li) exploitation for industrial and domestic use is resulting in a buildup of the element in various environmental components that results in...     

Ability of Indian pennywort Bacopa monnieri (L.) Pennell in the phytoremediation of sewage (greywater)

Environmental Science and Pollution Research - The freely and abundantly available amphibious plant Indian pennywort Bacopa monnieri (L.) Pennell was able to phytoremediate sewage (greywater)...     

Empirics on heterogeneous links among urbanization,the intensity of electric power consumption,water-based emissions,and economic progress in regional China

Environmental Science and Pollution Research - This study investigates the heterogeneous causal linkages between urbanization, the intensity of electric power consumption, water-based pollutant...     

Extruded Cornstarch-Glycerol-Polyvinyl Alcohol Blends: Mechanical Properties, Morphology, and Biodegradability

Elongation properties of extruded cornstarch were improved by blending with glycerol. Further blending of starch-glycerol with polyvinyl alcohol (PVOH) resulted in significant improvements in both tensile strength (TS) and elongation at break. Samples of starch-glycerol without PVOH equilibrated at 50% relative humidity had a TS of 1.8 MPa and elongation of 113%, whereas those containing PVOH had a TS and elongation of 4 MPa and 150%, respectively. Dynamic mechanical analysis (DMA) of starch-glycerol-PVOH blends showed that decreases in glass transition temperatures (T _g values) were proportional to glycerol content. Scanning electron microscopy (SEM) of fractured surfaces revealed numerous cracks in starch-glycerol (80:20) samples. Cracks were absent in starch-glycerol (70:30) samples. In both blends, many starch granules were exposed at the surface. No exposed starch granules were visible in blends with added PVOH. Starch-glycerol samples incubated in compost lost up to 70% of their dry weight within 22 days. Addition of PVOH lowered both the rate and extent of biodegradation.