Performance study of fly-ash-derived coagulant in removing natural organic matter from drinking water: synthesis, characterization, and modelling.

This study is an attempt to develop a liquid coagulant using fly ash (FAC) for removing natural organic matter (NOM) from drinking water systems. Acid-alkali leaching and polymerization technique was used for developing FAC. Characterization of FAC was performed using Fourier-transform infrared spectroscopy (FESEM), field emission scanning electron microscopy (FTIR), and X-ray diffraction (XRD) to assess the surface morphology and functional groups present. FE SEM analysis revealed uneven, coarse, and irregular structure with numerous pores, an indicative of their high adsorption capacity. XRD study revealed that Al, Fe, and Si are the major constituent group of FAC. FAC demonstrated excellent potential in removing THMs precursors: dissolved organic carbon (84.46%), UV254 (90.57%), and turbidity (96.85%) from the drinking water systems. Charge neutralization followed by adsorption is the main mechanism behind NOM removal. Moreover, FAC also showed good capability in minimizing the reactivity of NOM (ASI-72.86%) towards THM formation. FAC proved to be a good alternative for conventional coagulant used in drinking water treatment and can be effectively used for reducing NOM content of raw water which leads to the formation of THMs on chlorination.

Cumulative human health risk analysis of trihalomethanes exposure in drinking water systems.

Chlorinated compounds on reaction with natural organic substances present in water leads to the formation of trihalomethanes (THMs), a major type of disinfection by-products (DBPs). Trihalomethanes (THMs) are the most widely investigated DBPs in drinking water systems because of their carcinogenic potential and subsequent adverse effects on human health. This study investigated the effect of gastro-intestinal absorption factor on human health risk assessment. Monitoring and analysis of water quality parameters and THMs levels in drinking water treatment plants revealed that the average values (306.5 µg/L) exceeded the recommended US EPA guidelines of 80 µg/L. Spearman rank (rho) correlation coefficient indicated that dissolved organic carbon is the major parameter influencing THMs formation. Monte Carlo simulations base risk assessment study was conducted for three different exposure pathways. The observed human health risk exposure effects due to THMs were below the recommended USEPA level (1.0 × 10-6) for both the drinking water treatment plants. Seasonal disparity on risk estimation analysis revealed higher risk in summer season followed by autumn which is principally due to high concentration of THMs in summers.

Estimating combined health risks of nanomaterials and antibiotics from natural water: a proposed framework.

Nanoparticles (NPs) are one of the major class of emerging contaminants identified in aquatic environment. There is a probability that they can co-exist with other chemical pollutants like antibiotics (ABs) as ABs-NPs complexes in natural water systems. If these complexes are taken up via inadvertent ingestion of contaminated water, it might show detrimental effects on human health. To address this challenging issue, this study developed a risk framework to assess the combined exposure of ABs and NPs in natural waters for the first time. The six-step framework was applied to a hypothetical exposure of NPs (copper oxide, CuO; zinc oxide, ZnO; iron oxide, Fe3O4; and titanium oxide, TiO2) and ABs (ciprofloxacin, CIP; ofloxacin, OFX; norfloxacin, NOR; and levofloxacin, LEVO) to estimate human health risks for two different exposure scenarios. Risk estimation was also conducted for the released fragments of ABs, NPs and metal ions in the human digestive system. Mixture toxicity risk assessment was conducted for three different combinations: (i) ABs and metal ions, (ii) ABs and NPs, and (iii) NPs and metals ions. Although the expected risk values were observed to be less than 1 (both hazard quotients and hazard interactions less than 1) for all the conditions and assumptions made, still a thorough monitoring and analysis of the studied contaminants in water is required to protect humans from their adverse effects, if any. Maximum allowable concentrations (Cmax) at which no risk can occur to humans was found to be (maximum values): ABs (233.8 µg/L, NOR); metal ions (1.02 × 109 mg/L, Ti2+ ions), and NPs (6.68 × 105 mg/L, TiO2), respectively.

Environmental and human health risk assessment of mixture of Covid-19 treating pharmaceutical drugs in environmental waters.

This study identified ecological and human health risks exposure of COVID-19 pharmaceuticals and their metabolites in environmental waters. Environmental concentrations in aquatic species were predicted using surface water concentrations of pharmaceutical compounds. Predicted No-Effect Concentrations (PNEC) in aquatic organisms (green algae, daphnia, and fish) was estimated using EC50/LC50 values of pharmaceutical compounds taken from USEPA ECOSAR database. PNEC for human health risks was calculated using the acceptable daily intake values of drugs. Ecological PNEC revealed comparatively high values in algae (Chronic toxicity PNEC values, high to low: ribavirin (2.65 × 105 µg/L) to ritonavir (2.3 × 10-1 µg/L)) than daphnia and fish. Risk quotient (RQ) analysis revealed that algae (Avg. = 2.81 × 104) appeared to be the most sensitive species to pharmaceutical drugs followed by daphnia (Avg.: 1.28 × 104) and fish (Avg.: 1.028 × 103). Amongst the COVID-19 metabolites, lopinavir metabolites posed major risk to aquatic species. Ritonavir (RQ = 6.55) is the major drug responsible for human health risk through consumption of food (in the form fish) grown in pharmaceutically contaminated waters. Mixture toxicity analysis of drugs revealed that algae are the most vulnerable species amongst the three trophic levels. Maximum allowable concentration level for mixture of pharmaceuticals was found to be 0.53 mg/L.

Can pharmaceutical drugs used to treat Covid-19 infection leads to human health risk? A hypothetical study to identify potential risk.

This is the first study to assess human health risks due to the exposure of 'repurposed' pharmaceutical drugs used to treat Covid-19 infection. The study used a six-step approach to determine health risk estimates. For this, consumption of pharmaceuticals under normal circumstances and in Covid-19 infection was compiled to calculate the predicted environmental concentrations (PECs) in river water and in fishes. Risk estimates of pharmaceutical drugs were evaluated for adults as they are most affected by Covid-19 pandemic. Acceptable daily intakes (ADIs) are estimated using the no-observed-adverse-effect-level (NOAEL) or no observable effect level (NOEL) values in rats. The estimated ADI values are then used to calculate predicted no-effect concentrations (PNECs) for three different exposure routes (i) through the accidental ingestion of contaminated surface water during recreational activities only, (ii) through fish consumption only, and (iii) through combined accidental ingestion of contaminated surface water during recreational activities and fish consumption. Higher risk values (hazard quotient, HQ: 337.68, maximum; 11.83, minimum) were obtained for the combined ingestion of contaminated water during recreational activities and fish consumption exposure under the assumptions used in this study indicating possible effects to human health. Amongst the pharmaceutical drugs, ritonavir emerged as main drug, and is expected to pose adverse effects on r human health through fish consumption. Mixture toxicity analysis showed major risk effects of exposure of pharmaceutical drugs (interaction-based hazard index, HIint: from 295.42 (for lopinavir + ritonavir) to 1.20 for chloroquine + rapamycin) demonstrating possible risks due to the co-existence of pharmaceutical in water. The presence of background contaminants in contaminated water does not show any influence on the observed risk estimates as indicated by low HQadd values (<1). Regular monitoring of pharmaceutical drugs in aquatic environment needs to be carried out to reduce the adverse effects of pharmaceutical drugs on human health.

Human health risk estimation and predictive modeling of halogenated disinfection by- products (chloroform) in swimming pool waters: a case study of Dhanbad, Jharkhand, India.

Disinfection is an important process to make the water free from harmful pathogenic substances, but sometimes it results in the formation of harmful by-products. Development of predictive models is required to define the concentration of THMs in pool water. Majority of studies reported inhalation to be the most significant THMs exposure route which is more likely to be dependent upon the concentration of THMs in pool water and in air. THMs concentration in the analyzed pool water samples and in air was found to be 197.18 ± 16.31 µg L-1 and 0.033 µg m3-1, respectively. Statistical parameters such as high correlation coefficients, high R2 values, low standard error, and low mean square error of prediction indicated the validity of MLR based linear model over non-linear model. Therefore, linear model can be most suitably used to pre-assess and predict the THMs levels in swimming pool water. Risk estimation studies was conducted by using the united states environmental protection agency (USEPA) Swimmer Exposure Assessment Model (SWIMODEL). The lifetime time cancer risk values related to chloroform exceeded 10-6 for both the sub-population. Inhalation exposure leads to maximum risk and contributed up to 99% to total cancer risk. Risk due to other exposure pathways like accidental ingestion and skin contact was found to be negligible and insignificant. Monte Carlo simulation results revealed that the simulated THMs risk values for the studied exposure pathways lies within ±3.1% of the average risk values obtained using SWIMODEL. Hence, the risk estimates obtained using SWIMODEL seemed to be appropriate in determining the potential risk exposure of THMs on human health. Variation in input parameters like body weight (BW) and skin surface area (SA) leads to difference in risk estimates for the studied population. Non cancer risk was found to be insignificant as represented by low hazard quotient (HQ < 1) values. Through monitoring and regulations on control of THMs in swimming pool water is required to minimize the risk associated.

Identification of component-based approach for prediction of joint chemical mixture toxicity risk assessment with respect to human health: A critical review.

Toxicity risk assessment of chemical mixture possesses huge challenges due to limited evidence on toxicity of compounds, the infinite number of chemical combinations makes the problem even more difficult. Normally, prediction of joint mixture toxicity depends on toxicological data of constituent compounds, although lack of information on dose-response of chemical mixture raises serious concerns on human health. Component-based approaches mainly use dose-addition or response-addition method to assess mixture toxicity risk exposure. Several models based on theoretical concepts of concentration/dose addition and independent/response action were also developed but these models do not address chemical interactions in mixture, and were mostly used to assess ecological risk exposure with limited or no information on human health risk assessment. This paper reviews available models to predict joint toxicity of chemical mixtures, and most applicable one to address human health risk exposure was identified. United States Environmental Protection Agency (US EPA) weight-of-evidence hazard index (HI) based approach seems to be most appropriate to predict joint toxicity of chemical mixtures, and applicability of model is explained using emerging contaminants as an example. The review also identified challenges in implementing the interaction-based EPA approach and highlighted the need for necessary future research actions.

Human health risk assessment of antibiotics in binary mixtures for finished drinking water.

The present study developed a new step-wise approach to estimate the potential human health risk of antibiotics in binary mixture for drinking water samples for two different sub-populations. Monte Carlo simulation based uncertainty analysis was performed to reduce uncertainty in risk assessment. Human health risk assessment studies were carried out using the acceptable daily intake (ADIs) for exposures of individual antibiotics considering point of departure (POD) and uncertainty factors (UFs). The estimated ADI values were used to estimate the predicted no effect concentrations (PNECs), at or below which no adverse human health effects are anticipated. Hazard quotient (HQ) in risk assessment was calculated as a ratio of environmental concentrations (ECs) and PNECs (EC/PNEC). The study showed that the average HQs values of individual antibiotics in adult and children were found below the acceptable limit, demonstrating no possible human health risk for both the subgroups. HIinteraction values of antibiotics in binary mixture was calculated using HQ values of antibiotics. The study observed that the estimated HIinteraction values of antibiotics in binary mixture was found to be less than 1 for both the sub populations, indicating no potential adverse effects on human health. Concentration of antibiotics was the primary contributor (>65%) to the overall variance in the uncertainty estimates for HQs of individual antibiotics in drinking water for adult and children. The co-occurrence of antibiotics in binary mixture for drinking water samples doesn't possess any possible risk on human health for the studied population.

Response surface methodological (RSM) approach for optimizing the removal of trihalomethanes (THMs) and its precursor's by surfactant modified magnetic nanoadsorbents (sMNP) - An endeavor to diminish probable cancer risk.

Response surface methodology (RSM) approach was used for optimization of the process parameters and identifying the optimal conditions for the removal of both trihalomethanes (THMs) and natural organic matter (NOM) in drinking water supplies. Co-precipitation process was employed for the synthesis of magnetic nano-adsorbent (sMNP), and were characterized by field emission scanning electron microscopy (SEM), trans-emission electron microscopy (TEM), BET (Brunauer-Emmett-Teller), energy dispersive X-ray (EDX) and zeta potential. Box-Behnken experimental design combined with response surface and optimization was used to predict THM and NOM in drinking water supplies. Variables were concentration of sMNP (0.1 g to 5 g), pH (4-10) and reaction time (5 min to 90 min). Statistical analysis of variance (ANOVA) was carried out to identify the adequacy of the developed model, and revealed good agreement between the experimental data and proposed model. The experimentally derived RSM model was validated using t-test and a range of statistical parameters. The observed R2 value, adj. R2, pred. R2 and "F-values" indicates that the developed THM and NOM models are significant. Risk analysis study revealed that under the RSM optimized conditions, a marked reduction in the cancer risk of THMs was observed for both the groups studied. Therefore, the study observed that the developed process and models can be efficiently applied for the removal of both THM and NOM from drinking water supplies.

Removal of aromatic and hydrophobic fractions of natural organic matter (NOM) using surfactant modified magnetic nanoadsorbents (MNPs).

The present study investigated the potential of surfactant modified magnetic nanoadsorbents (MNPs) for the removal of aromatic and hydrophobic fractions of natural organic matter (NOM), leading to the formation of trihalomethanes (THMs) in chlorinated drinking water. Co-precipitation method was used for the synthesis of MNPs. However, MNPs have a tendency to form an agglomeration. Therefore, polyethylene glycol (PEG) was used as a surface modifier to reduce the agglomeration. The PEG-coated MNPs were characterized by field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM), energy-dispersive X-ray analysis (EDX), BET surface area, X-ray diffraction (XRD), Fourier transform spectrometer (FTIR), and zeta (ζ) potential. FESEM observation indicates that PEG-coated MNPs were spherical in shape and 25 nm in size. Zeta potential values (- 58.35 to - 74.9 mV) indicated excellent stability of PEG-MNPs. FTIR spectra indicated the presence of a -CH2 group, responsible for the chemical interaction between aromatic and humic content. Batch experiments were conducted by studying the effect of pH, contact time, and adsorbent dosage on NOM removal. Excellent removal of DOC (94.49%) and UV254 (89.32%) was observed at the optimum dose of adsorbent (0.75 g/L) and at pH 7.0. Adsorption kinetics followed pseudo-second-order reaction (R2, 0.973) and occurs by multilayer chemisorption which is due to the chemical interaction between aromatic and humic compounds of NOM with MNPs. Thus, MNPs showed great potential as a novel adsorbent for the removal of aromatic and hydrophobic compounds of NOM and can significantly be used to curtail the problem of THMs in drinking water supplies.

Modeling of trihalomethanes (THMs) in drinking water supplies: a case study of eastern part of India.

This study aimed at developing a model for predicting the formation of trihalomethanes (THMs) in drinking water supplies. Monitoring of THMs in five major water treatment plants situated in the Eastern part of India revealed high concentration of THMs (231-484 µg l(-1)). Chloroform was predominant, contributing 87-98.9% to total THMs. Seasonal variation in THMs levels dictated that the concentration were higher in autumn than other seasons. Linear regression analysis of data indicated that TOC is the major organic precursors for THMs formation followed by DOC and UV254. Linear and non-linear predictive models were developed using SPSS software version 16.0. Validation results indicated that there is no significant difference in the predictive and observed values of THMs. Linear model performed better than non-linear one in terms of percentage prediction errors. The model developed were site specific and the predictive capabilities in the distribution systems vary with different environmental conditions.

Multi-exposure cancer and non-cancer risk assessment of trihalomethanes in drinking water supplies - A case study of Eastern region of India.

The lifetime cancer risk and the hazard index of trihalomethanes (THMs) through oral ingestion, dermal absorption, and inhalation exposure from supply water of five WTPs were analysed. THMs concentration varied from plant to plant and was found to be in the range of 274-511µg/l, which is much higher than the prescribed USEPA standards of 80µg/l. Chloroform was the most dominant THM followed by bromodichloromethane (BDCM), and dibromochloromethane (DBCM). Cancer risk analysis through multi-pathways exposure reveals that residents had a higher cancer risk through oral ingestion than other two routes of exposure. The lifetime cancer risks of THMs from supply water were 100 times higher than prescribed USEPA guidelines. The higher cancer risk found for Indian context than those reported for other countries like USA, UK, Japan, Australia, is mainly due to the higher concentration level of THMs, water intake and average body weight. The study also revealed that amongst different THMs, chloroform is the major THMs causing cancer risk through both oral and dermal route of exposure whereas in case of inhalation it was mainly because of BDCM. Average lifetime cancer risk analysis indicated that females are more prone to cancer risk than males. Oral ingestion is a major route indicating the potential impact of non-cancer risk while it was insignificant through dermal exposure. Sensitivity analysis of THMs revealed that chloroform is the predominant parameter followed by body weight and exposure duration influencing cancer risk.