Search

Indonesia primarily exports coal, with an average annual quantity of over 421 million tonnes in the past decades (2011-2020), reaching its peak at 616 million tonnes in 2019. Despite its economic benefits, coal production carries hidden costs. This research delves into using life cycle assessment (LCA) to gauge the environmental impact of coal production and estimate external cost (EC) related to Greenhouse gases (GHG) and air pollutants (AP). The study applied the benefit transfer method to make these estimations, focusing on coal mining and international transport processes. The findings revealed that over the past decades, per tonne coal mining contributed an estimated EC of $12.54-15.26 for GHG and $3,439-5,250 for AP, while transport abroad per-tonne-km coal incurred an EC of $19.98-23.94 for GHG and $19.58-23.30 for AP. Moreover, coal mining contributes to water pollution and substantial water depletion. Despite the coal production in Indonesia generating around $40 billion in revenue in 2020, the study shows that the total EC from GHG and AP is up to $2,131 billion, which is 53 times the revenue, posing serious health and ecological risks to Indonesians and exacerbating global climate change. Notably, these estimates exclude EC from water pollution (WP) and water depletion. With the global push towards ‘net zero emissions’, the coal industry as a whole faces an urgent need to curb its GHG and AP emissions from its.

One of the major and abundant environmental elements is water, which life existence on earth is depending on. However, degradation of water quality arising from natural occurrences due to anthropogenic that resulted in eutrophication needs to be guided. Indiscriminate harmful waste discharge and dispersion into the water bodies leads to water pollution. As such, constant management and monitoring of water resources for an enhanced quality and quantity is essential. Therefore, this study employed a coupled derivative mathematical model to investigate soluble and insoluble water pollutants. The insoluble pollutants are converted to soluble pollutants through an applied control or treatment. To optimize the water quality, parametric sensitivities in relation to reproduction number are examined. From the computational analysis carried out, it was revealed that treatment still remains the only remedy for safe water.

This study presents an innovative approach for assessing water quality in agricultural irrigation networks, integrating stable isotope analysis, in vivo zebrafish screening, and comprehensive chemical profiling to investigate the occurrence, transformation, and potential toxicity of organic contaminants. Stable isotope analysis was used to measure evaporation as a proxy for water residence time in the canal, while liquid chromatography-high resolution mass spectrometry (LC-HRMS) identified a range of organic compounds in water samples collected from both the irrigation canal and its source river. Results indicated a reduction in contaminant levels in the canal compared to the river, with the most significant evaporation and concentration changes occurring at a holding reservoir, suggesting that managing residence time could help reduce water loss in arid irrigation networks. The data also highlighted how evaporation, particularly during the dry, hot season, influences contaminant dynamics. Hierarchical clustering of LC-HRMS results showed notable differences between the chemical profiles of canal and river samples, indicating that irrigation systems may contribute to the degradation or removal of certain compounds. Over 60 % of detected compounds were naturally derived, with anthropogenic contaminants like pesticides and personal care products further highlighting human impacts. Priority contaminants, including DEET and 2-naphthalene sulfonic acid, likely originated from urban activities upstream. Initial screening using zebrafish embryos showed bioactivity across sites, confirming the presence of contaminants needing further examination. Correlation analysis linked natural compounds to evaporation rates, suggesting that flora and fauna play significant roles in the chemical makeup of canal water. Overall, this approach provides a comprehensive framework for monitoring irrigation water, offering insights into contaminant behavior and supporting the development of standardized methods for assessing chemical fate and ecological risks in agricultural irrigation systems.

In this modern era, pollution of water resources due to industrial waste effluents is an alarming problem as it can cause various health problems in aquatic animals as well as in humans. Among the industrial pollutants, organic dyes are one of the leading chemicals that cause severe damage to the aquatic environment. These harmful organic dyes are practically omnipresent in various types of industries such as textile, tannery, cosmetic, food industries, etc. Photodegradation of these organic dyes is regarded as a promising technology for industrial waste treatment as it is a cost-effective and environment-friendly process. In this study, a nanostructured material of iron has been synthesized using the Alstonia scholaris (L.) R. Br. extract in an easy and eco-friendly way. The potential of this synthesized nanostructured material to act as a photocatalyst, for the degradation of organic dyes, has been explored. Due to its small size and high dispersion, more than 72 % degradation has been achieved within 90 min. A comparative study of its photocatalytic efficiency in different degradation processes has also been performed.

Vanillic acid (4-hydroxy-3-methoxybenzoic acid) (VA) is a natural benzoic acid derivative commonly found in herbs, rice, maize, and some fruits and vegetables. However, due to the wide use of VA in various industrial sectors, its presence in the environment might harm living organisms. This study evaluated the toxicity of VA and its isomers, iso-VA and orto-VA. Firstly, the antimicrobial effect of VA and its isomers iso-VA and orto-VA (in doses of 1000; 100, 10, 1; 0.1; 0.01 mg/L) against Escherichia coli, Sarcina spp., Enterobacter homaechei, Staphylococcus aureus and Candida albicans were identified. The toxic effect and protein degradation potential of VA and its isomers were determined using E. coli grpE:luxCDABE and lac:luxCDABE biosensor strains. However, the genotoxicity and oxidative stress generation were assessed with the E. coli recA:luxCDABE biosensor and E. coli strain. The results showed that VA, iso-VA, and orto-VA exhibited antimicrobial activity against all tested bacterial strains. However, VA's antimicrobial effect differed from iso-VA and orto-VA. Similar toxic, genotoxic, and oxidative stress-inducing effects were observed for VA and its isomers. Each compound exhibited toxicity, cellular protein degradation, and genotoxic activity against E. coli grpE:luxCDABE, E. coli lac:luxCDABE, and E. coli recA:luxCDABE strains. Analysis of reactive oxygen species (ROS) generation within E. coli cells highlighted oxidative stress as a contributing factor to the toxicity and genotoxicity of VA and its isomers. While the findings suggest potential applications of VA compounds as food preservatives, their presence in the environment raises concerns regarding the risks posed to living organisms due to their toxic and genotoxic characteristics.

Maximizing water reuse requires addressing legal and regulatory frameworks, but growers’ understanding of water as a vehicle for pollutants and safe practices is vital in this process. A cross-sectional survey of 85 growers in Lebanon, Jordan, and Tunisia explored these factors. Results showed that 70.6% of growers had limited knowledge about the transmission of pathogens, pesticides, and pharmaceuticals to food crops via treated wastewater (TWW). Additionally, 55% of farmers used TWW for irrigation, while 65.9% believed that it poses health risks to consumers when applied to crops eaten raw. A positive attitude toward TWW was a determining factor for maximizing water reuse applications. However, the limited access and unavailability of treatment plants were the primary reasons for not using TWW (32.9%). More concerning, less than half controlled the quality of irrigation water using microbiological tests (32.9%), chemical tests (37.6%), and turbidity tests (29.4%). Meanwhile, only 40% trusted local authorities’ control of TWW quality and 69.4% had no access to regulatory information. The present study showed the importance of prioritizing growers’ awareness of potential risks and establishing the practice of monitoring of water quality indicators and contaminants. These should be at the forefront of water reuse expansion strategies to mitigate associated risks. HIGHLIGHTS The majority of growers lacked training in good agricultural practices.; Less than half of the growers monitored the quality of water.; Only 40% trusted local authorities' control of treated wastewater (TWW) quality.; For some growers, TWW poses health risks if applied to crops eaten raw.; Positive attitude toward TWW maximizes water reuse.;

Water pollution greatly impacts humans and ecosystems, so a series of policies have been enacted to control it. The first step in performing pollution control is to detect contaminants in the water. Various methods have been proposed for water quality testing, such as spectroscopy, chromatography, and electrochemical techniques. However, traditional testing methods require the utilization of laboratory equipment, which is large and not suitable for real-time testing in the field. Microfluidic devices can overcome the limitations of traditional testing instruments and have become an efficient and convenient tool for water quality analysis. At the same time, artificial intelligence is an ideal means of recognizing, classifying, and predicting data obtained from microfluidic systems. Microfluidic devices based on artificial intelligence and machine learning are being developed with great significance for the next generation of water quality monitoring systems. This review begins with a brief introduction to the algorithms involved in artificial intelligence and the materials used in the fabrication and detection techniques of microfluidic platforms. Then, the latest research development of combining the two for pollutant detection in water bodies, including heavy metals, pesticides, micro- and nanoplastics, and microalgae, is mainly introduced. Finally, the challenges encountered and the future directions of detection methods based on industrial intelligence and microfluidic chips are discussed.

Background: Removing natural organic substances from drinking water sources is necessary to prevent the formation of toxic and carcinogenic disinfection by-products (DBPs). The nano-photocatalytic oxidation process to remove these substances is easier, faster, cheaper, and more efficient than other methods. Methods: This study investigated the efficiency of the TiO2/UV nano-photocatalytic process in removing humic acid (HA) and fulvic acid (FA) from aqueous solutions. Batch tests were performed to investigate the effect of various parameters such as contact time (15, 30, 45, 60, and 75 minutes), initial pH (4, 7, and 9), initial HA and FA concentration (0.5, 1, 2, 5, and 7 mg/L-1), TiO2 dose (5, 10, 15 and 20 mg/L-1), and different UV irradiation (8 W and 16 W) for the removal of HA and FA from aqueous solutions using TiO2/UV at room temperature (20 ± 3 °C). The equilibrium adsorption data and the standard parameters were evaluated. Data were analyzed using SPSS version 25. Results: The efficiency of this process in optimal conditions (pH: 4, anatase TiO2: 10 mg/L-1, irradiation time: 60 min, UV = 16 W) for removing humic and fulvic (initial HA concentration: 2 mg/L-1 and initial FA concentration: 5 mg/L-1) was 89% and 92%, respectively. The analysis of the experimental isotherm data showed that in the adsorption process of HA and FA on TiO2/UV, the Langmuir isotherm and the first-order reaction had the best fit with the experimental data. Conclusion: TiO2/UV nano-photocatalytic process is suitable for the photo-degradation and removal of HA and FA in aqueous solutions.

Adsorption processes, due to their technical simplicity and cost-effectiveness, have arisen as one of the most well-known, straightforward solutions to water pollution. In this context, polysaccharides, due to their abundance, biodegradability, and biocompatibility, are appealing raw materials for the design of adsorbents. Moreover, some of them, such as chitosan, can be obtained from organic waste products, and their use additionally contributes to solving another concerning problem: organic waste accumulation. Unfortunately, due to their low adsorption capacities and/or physicochemical properties, native polysaccharides are not suitable for this purpose. However, there are alternatives that can overcome these physical or chemical limitations, often taking advantage of the versatility of their polyhydroxylated structure. In this context, this review aims to present an overview of the advances from 2019 onwards in the design of new adsorbents for water treatment from cellulose, alginate, chitosan, and starch, addressing the two main strategies reported in the literature: the preparation of either polysaccharide-based composites or polysaccharide derivatives. It is important to point out that, herein, special emphasis is placed on the relationship between the chemical structure and the efficiency as adsorbents of the analyzed materials, in an attempt to contribute to the rational design of adsorbents obtained from polysaccharides.

Metal–organic frameworks (MOFs) are currently popular porous materials with research and application value in various fields such as medicine and engineering. Aiming at the application of MOFs in photocatalysis, this paper mainly reviews the main synthesis methods of ZnMOFs and the latest research progress of Zn MOF-based photocatalysts to degrade organic pollutants in water, such as organic dyes. This nanomaterial is being used to treat wastewater and has proven to be very efficient because of its exceptionally large surface area and porous nature. The results show that Zn-MOFs are capable of high degradation of the above pollutants and over 90% of degradation was observed in publications. In addition, the reusability percentage was examined and studies showed that the Zn-MOF nanostructure has very good stability and can continue to degrade a high percentage of pollutants after several cycles. This review focuses on Zn-MOFs and their composites. First, the methods of synthesis and characterization of these compounds are given. Finally, the application of these composites in the process of photocatalytic degradation of dye pollutants such as methylene blue, methyl orange, crystal violet, rhodamine B, etc. is explained. HIGHLIGHTS The performance of Zn-MOFs enhanced photocatalytic activity by scavenging entire chemicals and water pollutants.; Zn-MOFs are capable of high degradation of the above pollutants and over 90% of degradation.; MOF nanostructure has very good stability and can continue to degrade a high percentage of pollutants after several cycles.;

Abstract Novel low‐cost materials to uptake and detect vestigial amounts of pesticides are highly desirable for water quality monitoring. Herein, are demonstrated, for the first time, surface‐enhanced Raman scattering (SERS) sensors enabled via additively manufactured lattices coated with plasmonic nanoparticles (NPs) for detecting pesticides in real water samples. The architected lattices comprising polypropylene (PP) and multiwall carbon nanotubes (MWCNTs) are realized via fused filament fabrication (FFF). In the first stage, the SERS performance of the PP/MWCNT filaments coated with distinct metallic NPs (Ag NPs and Au NPs) is evaluated using methylene blue (MB) as molecular probe. Thereafter, distinctly architected hybrid SERS sensors with periodic porous and fully dense geometries are investigated as adsorbents to uptake MB from aqueous solutions and subsequent detection using SERS. The spatial distribution of MB and Ag NPs on the FFF‐printed lattices is accomplished by SERS imaging. The best hybrid composite is used as SERS probing system to detect low amounts of pesticides (thiram and paraquat) and offers a detection limit of 100 nm for both pesticides. As a proof‐of‐concept, FFF‐enabled test strips are used to detect in loco paraquat molecules spiked on real water samples (Estuary Aveiro water and tap water) using a portable Raman spectrometer.

Water pollution poses a significant threat to both human health and ecosystem integrity. Chemical pollutants such as dyes and pesticides affect the water quality and endanger aquatic life. Among the methods for water purification from organic pollutants, photodegradation is certainly a valid technique to decrease such contaminants. In this work, pristine NiO, ZnO, and NiO-ZnO photocatalysts were synthesized by the homogeneous co-precipitation method. X-ray diffraction confirms the formation of a photocatalyst consisting of ZnO (Hexagonal) and NiO (Cubic) structures. The crystalline size was calculated by the Scherrer formula, which is 19 nm for the NiO-ZnO photocatalyst. The band gap measurements of the prepared samples were obtained using the Tauc Plot, equation which is 2.93 eV, 3.35 eV and 2.63 eV for NiO, ZnO, and NiO-ZnO photocatalysts, respectively. The photocatalytic performance of NiO-ZnO nanocomposite was evaluated through the degradation of Methylene Blue and Nile Blue dyes under sunlight, and Bentazon herbicide under a UV light. Photocatalyst degradation efficiency was 95% and 97% for Methylene Blue and Nile Blue in 220 min under sunlight while a degradation of 70% for Bentazon after 100 min under UV light source was found.

Surface Enhanced Raman Spectroscopy (SERS) is a highly specific, sensitive, and portable technique with great potential for on-site pesticide detection and monitoring. Endosulfan, an organochlorine pesticide known for its high toxicity, slow degradation, and bioaccumulation, has poor affinity for metallic SERS substrates. This study presents a label-free SERS detection method for endosulfan, using aggregating agents like potassium chloride (KCl), potassium hydroxide (KOH), potassium bromide (KBr), and sodium hydroxide (NaOH) to modify the behavior of Ag colloidal nanoparticles (NPs) and enhance the SERS signal of endosulfan molecules trapped within formed hot-spots. We analyzed the UV–Vis spectra, the hydrodynamic diameter, and zeta-potential of Ag NPs with the addition of these agents and endosulfan. Successful detection of both α - and ß- endosulfan isomers at μM concentrations in both ethanol and methanol was achieved with KOH-treated Ag NPs. The method was also applied to detect endosulfan in real water samples, along with simultaneous detection of λ -cyhalothrin, showcasing its capability to identify multiple analytes. The selectivity and specificity were confirmed using a mixture of endosulfan and thiabendazole, highlighting the crucial role of selecting the appropriate aggregating agent for each analyte. Overall, the findings emphasize the potential of aggregating agents to mediate the SERS enhancement of endosulfan, facilitating simple and rapid protocols for environmental pollutant detection, while shedding light on the intricate interplay between NP behavior, surface chemistry, and analyte interaction.

Monitoring surface water quality on a spatio-temporal scale is very important to restrict the entry of polluting components into water bodies, particularly rivers. Traditional techniques of assessing water quality are typically costly and time-consuming. With the advent of remote sensing technologies and the availability of high-resolution satellite images in recent years, a significant opportunity for water quality monitoring has arisen. Our study aims to test the use of Sentienl-2 multispectral imaging sensors in estimating three important water quality parameters: chlorophyll-a, Colored Dissolved Organic Matter and Total Suspended Matter in Niger River. Sentinel-2 satellite data were acquired in 2020. Atmospheric correction was performed using Sen2cor from the Sentinel toolbox to obtain a geometrically corrected Sentinel-2 multispectral image. We selected multiple water-body indices from the literature based on their spectral reflection characteristics, analyze correlations between the reflectance values of water body indices and the water quality parameters of synchronous measured sampling points in order to obtain an optimal water body index for estimating water quality parameters (WQP) in Niger River. Five regression functions were used in this study: linear regression, exponential, logarithmic, power and polynomial regression. The performance and accuracy of these regression models were evaluated by correlating spectral reflectance band ratio against the in situ water quality parameters (WQP) concentrations. Polynomial regression gave a higher performance and accuracy based on their R values. The best spectral index was selected to assess the spatio-temporal distribution of water pollutants in the Niger River in Bamako and its surroundings. The results showed that the polynomial regression of 6th degree provided the best fit had the best spectral band ratio and in situ Chl-a, CDOM and TSM concentrations which were respectively achieved with band index of B2/B3 (R ^2 = 0.78), B3/B6 (R ^2 = 0.79 ) and B3/B4 ( R ^2 = 0.63 ). Therefore, the best band ratio was selected to evaluate Chl-a spatio-temporal in Niger River water in Bamako. The results of this study showed seasonal variability of the water pollutants in the Niger River. This highlights the potential of the Sentinel-2 products for water quality analysis. As a conclusion, the Sentinel-2 images could be helpful for precise water quality control of Niger River in Bamako.

Water pollutants have been a significant concern in recent years. It is essential to use advanced materials that effectively reduce these pollutants. This work introduces Ho2Cu2O5/Ho2O3 nanocomposites as a novel catalyst for photodegradation of various water-soluble organic pollutants. First, Ho2Cu2O5/Ho2O3 nanocomposites were prepared via a simple and fast ultrasonic-assisted route. The chemical and morphological features of the as-synthesized sample were determined using VSM, FTIR, XRD, EDS, SEM, and TEM analysis. Also, the optical bandgaps and pore diameter were determined to be 3.1, 3.6 eV, and 12.74 nm via ultraviolet–visible diffuse reflectance spectroscopy and Brunauer-Emmett-Teller (BET) for Ho2Cu2O5 and Ho2O3, respectively. The findings revealed that the prepared nanocomposite could act as a photocatalyst for removing various organic pollutants from water. 93.01% and 92% of Eriochrome black T (ECBT) and Acid yellow (AY) were degraded under UV irradiation at optimum conditions after 120 min (0.03 g of photocatalyst and 10 ppm of pollutants). The kinetics of the ECBT removal was studied through the Langmuir-Hinshelwood model, and the apparent rate of the pseudo-first-order reaction (k = 0.03465 min−1) was obtained. The use of different scavengers made it clear that formation •O2– species were primarily responsible for the photodegradation of pollutants.

This study investigates the viability of developing chitosan-based hydrogels derived from waste shrimp shells for the removal of methylene blue and methyl orange, thereby transforming food waste into advanced materials for environmental remediation. Despite chitosan-based adsorbents being conventionally considered ideal for the removal of negative pollutants, through targeted functionalization with poly(3,4-ethylenedioxythiophene): polystyrene sulfonate (PEDOT:PSS) at varying concentrations, we successfully enhance the hydrogels’ efficacy in also adsorbing positively charged adsorbates. Specifically, the incorporation of PEDOT:PSS at a concentration of 10% v/v emerges as a critical factor in facilitating the robust adsorption of dyes. In the case of the anionic dye methyl orange (MO, 10−5 M), the percentage of removed dye passed from 47% (for beads made of only chitosan) to 66% (for beads made of chitosan-PEDOT:PSS 10%), while, in the case of the cationic dye methylene blue (MB, 10−5 M), the percentage of removed dye passed from 52 to 100%. At the basis of this enhancement, there is an adsorption mechanism resulting from the interplay between electrostatic forces and π–π interactions. Furthermore, the synthesized functionalized hydrogels exhibit remarkable stability and reusability (at least five consecutive cycles) in the case of MB, paving the way for the development of cost-effective and sustainable adsorbents. This study highlights the potential of repurposing waste materials for environmental benefits, introducing an innovative approach to address the challenges regarding water pollution.

A more sensitive, low-cost, and miniaturized three-channel smartphone-based aptamer sensor using resonance light scattering (RLS) as a readout method was designed to in-situ detect multiplexed antibiotics in water. In this system, three unlabeled aptamers were used to respectively recognize the targets and a smartphone with a three-channel design was the detector to obtain the corresponding RLS signal of aggregation AuNPs caused by depressed aptamer. The strategy simultaneously tested tobramycin (TOB), kanamycin (KANA), and alternariol (AOH) to verify the sensor performance using three-channel design. This sensor obtained good limit of detection of 24.23 ng/mL for TOB, and 58.03 ng/mL, and 0.18 μg/mL for KANA and AOH, linear ranges of 50–300 ng/mL, 200–1000 ng/mL, and 0.75–3.5 μg/mL, respectively. The recoveries for TOB ranged from 91.6%–105.4% and the coefficient of variation for the relative standard deviation was less than 10%. Compared with commonly used bio-sensors, this sensor has advantages of high-throughput assay and simple operation and realized three antibiotics detection using RLS as a signal output based on a miniaturized smartphone with a three-channel design.

Various pollutants are collected into rivers through runoff when rainstorms occur, which can harm the aquatic ecological environment, therefore, strengthening the analysis of river pollution sources before and after rainstorms can reduce the impact of rainstorm runoff periods in regard to the risk from river water pollutants. In this study, the water pollutant differential characteristics and pollution source identification in the Henan section in the Huaihe River Basin were explored before and after the extreme rainfall event, and the monitoring data for nine water quality indicators in the monitoring sections were selected. The changing and differential characteristics and processes of the water quality indicators in the Huaihe River Basin before and after the rainstorm were analyzed by using statistical analytical methods and the comprehensive water quality identification index (IWq), and the absolute contribution rates of pollution sources were calculated by the absolute principal components-multiple linear regression model (APCS-MLR). The results showed that the values of pH, DO (Dissolved oxygen) and EC (Electrical conductance) after the rainstorm were lower than those before the rainstorm, while the turbidity, CODMn (Permanganate index), NH3−N (Ammonia nitrogen), TP (Total phosphorus) and TN (Total nitrogen) increased after the rainstorm. The correlations between pH and DO and other water quality indicators increased after the rainstorm, while the correlations between WT (Water temperature), turbidity, CODMn, NH3−N, TP and TN decreased significantly after the rainstorm. The water pollution of each monitoring section increased after the rainstorm; for example, the water quality conditions at Zhoukou Kangdian (ZKKD), Xihua Zhifang (XHZF) and Suixian Banqiao (SXBQ) increased by 42.11, 36.84 and 25.73% to Class V of the environmental quality standards for surface water in China, respectively. The absolute contribution rates of the PC1 to CODMn and TP were 33.86 and 41.11% before the rainstorm, respectively. The absolute contribution rates of the PC2 to DO and TN were 50.77 and 60.26% after the rainstorm, respectively.

The adsorptive performance of mesoporous silica-based materials towards inorganic (metal ions) and organic (dyes) water pollutants was investigated. Mesoporous silica materials with different particle size, surface area and pore volume were prepared and tailored with different functional groups. These materials were then characterised by solid-state techniques, namely vibrational spectroscopy, elemental analysis, scanning electron microscopy and nitrogen adsorption–desorption isotherms, allowing the successful preparation and structural modifications of the materials to be confirmed. The influence of the physicochemical properties of the adsorbents towards the removal of metal ions (Ni2+, Cu2+ and Fe3+) and organic dyes (methylene blue and methyl green) from aqueous solutions was also investigated. The results reveal that the exceptionally high surface area and suitable ζ-potential of the nanosized mesoporous silica nanoparticles (MSNPs) seem to favour the adsorptive capacity of the material for both types of water pollutants. Kinetic studies were performed for the adsorption of organic dyes by MSNPs and large-pore mesoporous silica (LPMS), suggesting that the process follows a pseudo-second-order model. The recyclability along consecutive adsorption cycles and the stability of the adsorbents after use were also investigated, showing that the material can be reused. Current results show the potentialities of novel silica-based material as a suitable adsorbent to remove pollutants from aquatic matrices with an applicability to reduce water pollution.

The prevalence of unconventional oil and gas (UOG) operations raises concerns regarding the potential for adverse health outcomes following exposure to water tainted by mixtures of UOG associated chemicals. The potential effects that exposure to complex chemical mixtures has on the immune system have yet to be fully evaluated. In this study, effects on the immune system of adult mice exposed to a mixture of 23 chemicals that have been associated with water near active UOG operations were investigated. Female and male mice were exposed to the mixture via their drinking water for at least 8 weeks. At the end of the exposure, cellularity of primary and secondary immune organs, as well as an immune system function, were assessed using three different models of disease, i.e. house dust mite (HDM)-induced allergic airway disease, influenza A virus infection, and experimental autoimmune encephalomyelitis (EAE). The results indicated exposures resulted in different impacts on T-cell populations in each disease model. Furthermore, the consequences of exposure differed between female and male mice. Notably, exposure to the chemical mixture significantly increased EAE disease severity in females, but not in male, mice. These findings indicated that direct exposure to this mixture leads to multiple alterations in T-cell subsets and that these alterations differ between sexes. This suggested to us that direct exposure to UOG-associated chemicals may alter the adult immune system, leading to dysregulation in immune cellularity and function.

For the photocatalytic degradation of the organic dyes present in wastewater, the ternary composites of metal-oxides nanopowders of zinc-iron-calcium (Zn-Fe-Ca), zinc-iron-antimony (Zn-Fe-Sb), zinc-iron-titanium (Zn-Fe-Ti) and zinc-iron-cobalt (Zn-Fe-Co) were synthesized and characterized by different instruments. The average particle size of the Zn-Fe-Ca and Zn-Fe-Ti mixed-oxides nanopowders was 10 ± 5 nm and that of Zn-Fe-Sb nanopowder was 20 ± 10 nm. The flakes of Zn-Fe-Co nanopowder were 10 ± 5 nm thick and 100 nm to 300 nm long. All the mixed-oxides were utilized for photocatalytic degradation of acridine orange (AO) where Zn-Fe-Sb degraded the 98 % of acridine orange (AO), within 20 min, while the same level of degradation was attained by Zn-Fe-Ti and Zn-Fe-Ca mixed-oxides in 80 min and 90 min, respectively. The more efficient Zn-Fe-Sb photocatalyst was further utilized for the degradation of malachite green (MG), brilliant green (BG), methyl orange (MO) and congo red (CR). Zn-Fe-Sb was found to be fast and efficient photocatalyst for the degradation of AO and therefore, the effect of various parameters was studied in detail to optimize the reaction conditions. Moreover, the Zn-Fe-Sb mixed-oxides were used to photodegrade the AO dye in four different environmental water samples (sea, tap and sewage). Keeping in view the practical conditions, a tube-type and funnel-type filters were designed for dynamic purification process using Zn-Fe-Sb mixed-oxides as catalyst under sunlight. The synthesized nanomaterials have great potential to contribute in the wastewater treatment technologies.

Land cover change is an important factor in terms of its impacts on altering the quantity and quality of the flow regimes. The Long-term Hydrologic Impact Assessment model was used to predict the impacts of land cover management scenarios on run-off volume and water pollutants on the Hablehrud Basin. Land-use and soil hydrologic group layers were used in running the model. Evaluation of the results indicated a satisfactory performance at the 5% level of significance. Additionally, the model uncertainty analysis was conducted using the bootstrap method. Nitrate, nitrite and run-off volume parameters had the minimum and maximum uncertainty levels with respect to the coefficient of variation at 0.15 and 0.26, respectively. In addition to the current condition, agroforestry, seeding, drill seeding, hill-drop planting, grazing exclusion, haloxylon plantation, orchard stabilization, tree plantation and forage growing actions were evaluated. By applying the seeding scenario, the annual runoff volume would drop from 301.07 million cubic meters per year for the current land use in the watershed to 247.92 million cubic meters per year. Given the seeding scenario, the total amounts of nitrates, nitrite and phosphorus in the watershed would also decrease from 214.17 and 92.4 ton per year for the current land cover to 154.2 and 80.3 ton per year, respectively. Evaluation of the results indicates the satisfactory performance of the model to predict the effects of land-use change scenarios in this area. Implementing the land cover management actions leads to a reduction in the run-off volume as well as the water pollutants on the Hablerud Basin.

The correct detection and quantification of pollutants in water is key to regulating their presence in the environment. Biosensors offer several advantages, such as minimal sample preparation, short measurement times, high specificity and sensibility and low detection limits. The purpose of this review is to explore the different types of optical biosensors, focusing on their biological elements and their principle of operation, as well as recent applications in the detection of pollutants in water. According to our literature review, 33% of the publications used fluorescence-based biosensors, followed by surface plasmon resonance (SPR) with 28%. So far, SPR biosensors have achieved the best results in terms of detection limits. Although less common (22%), interferometers and resonators (4%) are also highly promising due to the low detection limits that can be reached using these techniques. In terms of biological recognition elements, 43% of the published works focused on antibodies due to their high affinity and stability, although they could be replaced with molecularly imprinted polymers. This review offers a unique compilation of the most recent work in the specific area of optical biosensing for water monitoring, focusing on both the biological element and the transducer used, as well as the type of target contaminant. Recent technological advances are discussed.

Tiny aquatic plants from the Lemnaceae family, commonly known as duckweeds, are often regarded as detrimental to the environment because of their ability to quickly populate and cover the surfaces of bodies of water. Due to their rapid vegetative propagation, duckweeds have one of the fastest growth rates among flowering plants and can accumulate large amounts of biomass in relatively short time periods. Due to the high yield of valuable biomass and ease of harvest, duckweeds can be used as feedstock for biofuels, animal feed, and other applications. Thanks to their efficient absorption of nitrogen- and phosphate-containing pollutants, duckweeds play an important role in the restorative ecology of water reservoirs. Moreover, compared to other species, duckweed species and ecotypes demonstrate exceptionally high adaptivity to a variety of environmental factors; indeed, duckweeds remove and convert many contaminants, such as nitrogen, into plant biomass. The global distribution of duckweeds and their tolerance of ammonia, heavy metals, other pollutants, and stresses are the major factors highlighting their potential for use in purifying agricultural, municipal, and some industrial wastewater. In summary, duckweeds are a powerful tool for bioremediation that can reduce anthropogenic pollution in aquatic ecosystems and prevent water eutrophication in a simple, inexpensive ecologically friendly way. Here we review the potential for using duckweeds in phytoremediation of several major water pollutants: mineral nitrogen and phosphorus, various organic chemicals, and heavy metals.

Per-and polyfluoroalkyl substances (PFAS) are a growing concern for humans, wildlife, and more broadly, ecosystem health. Previously, we characterised the microbial and biochemical impact of elevated PFAS on the gut microbiome of freshwater turtles (Emydura macquarii macquarii) within a contaminated catchment in Queensland, Australia. However, the understanding of PFAS impacts on this species and other aquatic organisms is still very limited, especially at the host–gut microbiome molecular interaction level. To this end, the present study aimed to apply these leading-edge omics technologies within an integrated framework that provides biological insight into the host turtle–turtle gut microbiome interactions of PFAS-impacted wild-caught freshwater turtles. For this purpose, faecal samples from PFAS-impacted turtles (n = 5) and suitable PFAS-free reference turtles (n = 5) were collected and analysed. Data from 16S rRNA gene amplicon sequencing and metabolomic profiling of the turtle faeces were integrated using MetOrigin to assign host, microbiome, and co-metabolism activities. Significant variation in microbial composition was observed between the two turtle groups. The PFAS-impacted turtles showed a higher relative abundance of Firmicutes and a lower relative abundance of Bacteroidota than the reference turtles. The faecal metabolome showed several metabolites and pathways significantly affected by PFAS exposure. Turtles exposed to PFAS displayed altered amino acid and butanoate metabolisms, as well as altered purine and pyrimidine metabolism. It is predicted from this study that PFAS-impacted both the metabolism of the host turtle and its gut microbiota which in turn has the potential to influence the host’s physiology and health.

To solve the global water shortages and serious water pollution problems, research on semiconductor photocatalysts has generated significant research attention. The degradation of pollutants by titanium dioxide (TiO2) exceeds other semiconductor materials. However, its wide bandgap restricts the photocatalytic reaction under visible light. The large specific surface area and good thermal conductivity of graphene yielded an effective graphene-TiO2 catalyst combination effective under visible light. 2D graphene-TiO2 composites (2D-GTC) have shown promise, so a study of the preparation methods, mechanism and catalytic effect of different pollutants on this material was undertaken. In this current review, the characteristics of different graphene and TiO2 composites and their preparation methods, as well as the effects of different synthesis methods on the catalyst are introduced. The reaction mechanism of 2D-GTC catalysts, the degradation effects of different pollutants in water are all reviewed.

Pollutants are formed when oil, gas, chemical plants, etc. discharge their harmful waste materials into stream or other water bodies. In this paper, a mathematical model for water pollutants which are soluble and insoluble has been formulated as a system of non-linear ordinary differential equations. Control is applied on insoluble water pollutants to process them into soluble water pollutants. Numerical simulation has been carried out which suggest that soluble water pollutants are increasing as compared to insoluble water pollutants.

Background: In many developing countries, numerous brands of bottled water and the relatively cheaper counterpart, sachet water, can be found in all cities, towns, and even villages. This study assessed the concentrations of some phthalates and metals in bottled and sachet water sold in Lagos, Nigeria. Methods: Fifteen pieces of plastic bottled water and 15 pieces of sachet water were randomly obtained from different street vendors in Lagos, Nigeria. High Performance Liquid Chromatography (HPLC) was used to determine the levels of dimethylphthalate (DMP), diethylphthalate (DEP), and dibutylphthalate (DBP). Also, atomic absorption spectroscopy assay was applied in order to assess the contents of metals, including zinc (Zn), chromium (Cr), lead (Pb), and cadmium (Cd). All statistical analyses were carried out using the SPSS (version 20). Results: The mean concentrations of DMP, DEP, and DBP in bottled water samples were 0.564±0.074, 0.248±0.166, and 0.042±0.049 mg/L, respectively; these rates for sachet water samples were 0.803±0.049, 0.243±0.035, and 0.160±0.073 mg/L, respectively. Some significant differences (p

Nowadays at the same time with population growth in urban areas, healthy potable water supply has become a challenge especially in arid and semi-aris countries who intend to fulfil a sustainable development. Due to the increasing importance of water treatment and its key role throughout the world, improvement of water treatment plants is becoming more visible. In this research, the criteria and effective factors influencing the quantitative performance evaluation of three treatment plants were investigated using AHP approach. The three treatment plants used in this study were selected from three provences in Iran including Hamedan, Ilam and Kermanshah. The model performance were quantitatively evaluated by using the physical, chemical, and biological characteristics of effluent data. Model performance evaluation revealed that E. Coli; turbidity; ammonia, nitrate and nitrite is most important microbilogical, physical, and chemical water quality parameters when assessing the performance of effluent quality of treatment plants. Based on the the evaluated results, the performance of treatment plants in Kermanshah was better than the other two treatment plants. It will also be equaliy important to indicate that if any of the treatment plants met the effluent standards set by the Iranian authorities.

Introduction and purpose: Phenol is one of the common pollutants found in many industrial effluents , which affects the environment and human health due to its special features like high toxicity and carcinogenic properties. The use of adsorbents is one of the most effective strategies for the removal of phenol. In this study, we investigated the efficiency of Citrullus colocynthis shell ash as a natural adsorbent in phenol removal from aqueous solutions. Methods: This was an experimental study, where the effect of different variables such as the initial phenol concentrations (i.e., 10, 20, 50, 80, and 100 ppm), contact time (i.e., 2, 5, 10, and 30 min), adsorbent dose (i.e., 0.5, 1, 3, 5, 7, and 10 g/L) and pH (2-12) were studied. Then, the adsorption process was described with Freundlich and Langmuir isotherms at controlled temperatures. Excel software was used for data analysis. Results: The results revealed that the highest removal rate of phenol was obtained at pH of 2 (79.8%), primary phenol concentration of 20 ppm (66.4%), adsorbent dose of 5 g/l (86.8%), and contact time of 10 minutes. Also, the correlation coefficients of isotherms (Freundlich and Langmuir) showed that phenol adsorption by Citrullus colocynthis shell ash had more accordance with the Freundlich model than the Langmuir model. Conclusion: We found that Citrullus colocynthis shell ash can be used as a lowcost and accessible adsorbent for phenol removal from aqueous solutions.

Aims: Linear alkylbenzene sulfonate (LAS) is an anionic surfactant which is widely used in household and industrial detergents usage, and after use, it usually finds a way to the wastewater treatment systems. Conventional treatment is not recognized as an efficient method due to the long residence time and enlarged cost. Hence, advanced oxidation processes including electrochemical techniques are important. In this paper, electrochemical degradation of a synthetic solution of LAS with initial concentration 200 ppm has been investigated. Methods: The experiment was performed using eight stainless steel electrodes as cathode and anode with a monopolar arrangement. The effects of current intensity and density were studied as operational parameters on detergent removal efficiency. Results: The maximum removal efficiency 94% was achieved at current intensity equal to 300 mA and current density 6 mA/cm2. The energy consumption was calculated 2.7 ± 0.1 WH/g. The bioassay test showed that only under optimum conditions, 80% of fish was survived until 4 days since the end of the process and the rest were died immediately. All ten fish leaved in unpolluted were survived until 4 days monitoring. Conclusion: The results showed that, by reducing the current density, removal efficiency increases it was true for all current intensities.

The sustainable management of biomass is a key global challenge that demands compliance with fundamental requirements of social and environmental responsibility and economic effectiveness. Strategies for the valorization of waste biomass from agrifood industries must be in line with sustainable technological management and eco-industrial approaches. The efficient bioremoval of the pesticides imazalil and thiabendazole from aqueous effluents using waste biomass from typically Mediterranean agrifood industries (citrus waste, artichoke agrowaste and olive mill residue) revealed that these residues may be transformed into cost-effective biosorbents. Agrifood wastes present irregular surfaces, many different sized pores and active functional groups on their surface, and they are abundant in nature. The surface and adsorptive properties of olive mill residue, artichoke agrowaste and citrus waste were characterized with respect to elemental composition, microstructure, crystallinity, pore size, presence of active functional groups, thermal stability, and point of zero charge. Olive mill residue showed the highest values of surface area (Brunauer–Emmett–Teller method), porosity, crystallinity index, and pH of zero point of charge. Olive mill residue showed the highest efficiency with sorption capacities of 9 mg·g−1 for imazalil and 8.6 mg·g−1 for thiabendazole.

Coastal areas are known to receive significant anthropogenic inputs, mainly deriving from metropolitan areas, industries, and activities related to tourism. Among these inputs, some trace elements are listed as priority pollutants in the European Water Framework Directive, due to their ability to bioaccumulate in organisms. Many studies have been conducted on heavy metals (HMs) accumulation and on their possible effects on different edible marine species. While the most studied sessile organisms are bivalves, in the current review, we focus our attention on other sessile taxa (sponges, cnidarians, bryozoans, polychaetes, cirripeds, and tunicates), proposed as bioindicators in coastal shallow waters. Although their potential as bioindicator tools has been repeatedly highlighted in the literature, these organisms are still poorly investigated and considered for monitoring. In this context, we analyze the available literature about this topic, in order to summarize the current knowledge and identify possible applications of these organisms in a bioremediation scenario.

Heavy metal ions and pesticides are extremely dangerous for human health and environment and an accurate detection is an essential step to monitor their levels in water. The standard and most used methods for detecting these pollutants are sophisticated and expensive analytical techniques. However, recent technological advancements have allowed the development of alternative techniques based on optical properties of noble metal nanomaterials, which provide many advantages such as ultrasensitive detection, fast turnover, simple protocols, in situ sampling, on-site capability and reduced cost. This paper provides a review of the most common photo-physical effects impact on the fluorescence of metal nanomaterials and how these processes can be exploited for the detection of pollutant species. The final aim is to provide readers with an updated guide on fluorescent metallic nano-systems used as optical sensors of heavy metal ions and pesticides in water.

Aims Municipal landfill leachate contains high concentrations of heavy metals, organics, ammonia. The efficeincy of electrochemically removal of heavy metals from landfill leachate was studied. Materials & Methods The leachate was obtained from Kahrizak landfill in south of Tehran. The experiments were carried out by batch process. The 2liter batch reactor was made of glass. There were eight anodes and cathodes electrodes. The electrodes were placed vertically parallel to each other and they were connected to a digital DC power supply. The pH and conductivity were adjusted to a desirable value using NaOH or H2SO4, and NaCl. All the runs were performed at constant temperature of 25°C. In each run, 1.5liter of the leachate was placed into the electrolytic cell. Samples were extracted every 10min and then filtered through a mixed cellulose acetate membrane (0.42μm). The amount of Lead, Zinc and Nickel removal was measured at pH=7 and in current density of 0.5, 0.75, and 1A. Findings When current density and time reaction increased, removal efficiency of heavy metals such as Lead, Zinc and Nickel increased. At initial pH=7, density 1A and reaction time= 60min, Lead, Nickel and Zinc were removed up to 86, 93 and 95%, respectively. Conclusion Electrochemical process can be proposed as a suitable technique to remove heavy metal from landfill leachate.

Wastewater treatment (WWT) is a priority around the world; conventional treatments are not widely used in rural areas owing to the high operating and maintenance costs. In Mexico, for instance, only 40% of wastewater is treated. One sustainable option for WWT is through the use of constructed wetlands (CWs) technology, which may remove pollutants using cells filled with porous material and vegetation that works as a natural filter. Knowing the optimal material and density of plants used per square meter in CWs would allow improving their WWT effect. In this study, the effect of material media (plastic/mineral) and plant density on the removal of organic/inorganic pollutants was evaluated. Low (three plants), medium (six plants) and high (nine plants) densities were compared in a surface area of 0.3 m2 of ornamental plants (Alpinia purpurata, Canna hybrids and Hedychium coronarium) used in polycultures at the mesocosm level of household wetlands, planted on the two different substrates. Regarding the removal of contaminants, no significant differences were found between substrates (p ≥ 0.05), indicating the use of plastic residues (reusable) is an economical option compared to typical mineral materials. However, differences (p = 0.001) in removal of pollutants were found between different plant densities. For both substrates, the high density planted CWs were able to remove COD in a range of 86–90%, PO4-P 22–33%, NH4-N in 84–90%, NO3-N 25–28% and NO2-N 38–42%. At medium density, removals of 79–81%, 26–32, 80–82%, 24–26%, and 39–41%, were observed, whereas in CWs with low density, the detected removals were 65–68%, 20–26%, 79–80%, 24–26% and 31–40%, respectively. These results revealed that higher COD and ammonia were removed at high plant density than at medium or low densities. Other pollutants were removed similarly in all plant densities (22–42%), indicating the necessity of hybrid CWs to increase the elimination of PO4-P, NO3-N and NO2-N. Moreover, high density favored 10 to 20% more the removal of pollutants than other plant densities. In addition, in cells with high density of plants and smaller planting distance, the development of new plant shoots was limited. Thus, it is suggested that the appropriate distance for this type of polyculture plants should be from 40 to 50 cm in expansion to real-scale systems in order to take advantage of the harvesting of species in these and allow species of greater foliage, favoring its growth and new shoots with the appropriate distance to compensate, in the short time, the removal of nutrients.

Commercially available microcrystalline cellulose (MCC) was functionalized using chlorosulfonic acid, while iron oxide nanoparticles (IONPs) were adsorbed on the surface of the cellulose derivative by the Massart’s co-precipitation method. The obtained magnetite-decorated sulfate cellulose nanoparticles (MDSCNs) were characterized via Fourier transform infrared (FTIR) spectroscopy, scanning-electron microscopy (SEM), and elemental analysis, while the acidity of the functionalized cellulose was determined using an acid–base titration with phenolphthalein as an indicator. Furthermore, in order to determine the adsorptive power of the obtained composite, a series of analyses were performed on aqueous amine pollutants using flame ionization detection gas chromatography (GC-FID). The results of this study clearly show how a bio-compatible green polymer as cellulose can be easy functionalized in order to improve its chemical and physical properties, obtaining a magnetic composite useful in water purification. Adsorption percentages up to 90% and a very small amount of composite used (100 mg) proved how our material can be a powerful tool in environmental remediation.

Spectrophotometry has proven to be an effective non-invasive technique for the characterization of the pollution load of sewer systems, enabling compliance with new environmental protection regulations. This type of equipment has costs and an energy consumption which make it difficult to place it inside a sewer network for real-time and massive monitoring. These shortcomings are mainly due to the use of incandescent lamps to generate the working spectrum as they often require the use of optical elements, such as diffraction gratings, to work. The search for viable alternatives to incandescent lamps is key to the development of portable equipment that is cheaper and with a lower consumption that can be used in different points of the sewer network. This research work achieved the following results in terms of the measured samples: First, the development a calibration procedure that enables the use of RGB-LED technology as a viable alternative to incandescent lamps, within the range of 510 to 645 nm, with high accuracy. Secondly, demonstration of a simple method to model the transmittance value of a specific wavelength without the need for optical elements, achieving a cost-effective equipment. Thirdly, it provides a simple method to obtain the transmittance based on the combination of RGB colors. Finally its viability is demonstrated for the spectral analysis of wastewater.

Development of contaminant detection systems in various natural and industrial environments has been favored in recent years thanks to the evolution of processors and sensors. Our group works specifically on contaminant detection systems in inland waters: immediate and continuous detection is a fundamental requirement in this type of sensing. Regarding the sensors, the proposed system is based on fluorescence, since it offers a method in which there is no contact with water, which means less wear on the components and a great saving in cleaning and maintenance. On the other hand, the spectrum processing is of great importance, since it is used both in the generation of a library of fluorescence spectra taken in the laboratory and in the continuous analysis of the samples and in the comparison algorithm for identification. The validity of the system is based on the last process that is carried out in a very short time. This article describes a system to process spectra in a more accelerated way.

This review provides an up-to-date overview on silver nanoparticles-based materials suitable as optical sensors for water pollutants. The topic is really hot considering the implications for human health and environment due to water pollutants. In fact, the pollutants present in the water disturb the spontaneity of life-related mechanisms, such as the synthesis of cellular constituents and the transport of nutrients into cells, and this causes long / short-term diseases. For this reason, research continuously tends to develop always innovative, selective and efficient processes / technologies to remove pollutants from water. In this paper we will report on the silver nanoparticles synthesis, paying attention to the stabilizers and mostly used ligands, to the characterizations, to the properties and applications as colorimetric sensors for water pollutants. As water pollutants our attention will be focused on several heavy metals ions, such as Hg(II), Ni(II),Cu(II), Fe(III), Mn(II), Cr(III/V) Co(II) Cd(II), Pb(II), due to their dangerous effects on human health. In addition, several systems based on silver nanoparticles employed as pesticides colorimetric sensors in water will be also discussed. All of this with the aim to provide to readers a guide about recent advanced silver nanomaterials, used as colorimetric sensors in water.

Blackbird Creek is the waterway that empties into the Delaware Bay. The lower 21 km of the creek has been shown to have appreciable salinity measurements, suggesting that this portion is influenced by tidal fluctuations. Fourteen sampling stations were established within this lateral range in order to examine the nutrient dynamics of the creek at various points in time. Our objective was to monitor potential changes in water quality conditions, especially on nutrients, in the creek during the day using the low and high tides as the predominating driver for the change. Temperature, pH, dissolved oxygen, conductivity, and salinity were monitored bi-weekly at each station. Concentrations of dissolved nitrate (NO3), nitrite (NO2), ammonia (NH3), orthophosphate (PO4), alkalinity (Alk), and turbidity (Tbd) were measured at each station over the course of the field season. Average concentrations were generally low for the nitrogen species: NH4 = 0.11 mgL−1, NO3 = 0.30 mgL−1, NO2 = 0.02 mgL−1. Average alkalinity (92 mgL−1 CaCO3) and turbidity (71 FTU) concentrations were appropriate given the nature of the marsh environment. The average PO4 concentration, however, was elevated (= 0.44 mgL−1). The EPA recommends values under 0.1 mgL−1 for this type of waterway. When considered separately, nutrient concentrations on outgoing tides were elevated relative to nutrient concentrations on incoming tides. Overall, the highest concentrations for all parameters occurred at low tide before the shift to the next incoming tide. This suggests that there are greater nutrient concentrations upstream than downstream. Given that land use in the Blackbird Creek watershed is primarily agricultural, it is likely that upstream pore water input from cropland is influencing the nutrient dynamics of the waterway. This information is key to understanding the efficiency of the riparian buffer system that has been established in the watershed and to allow for opportunities for improvement to mitigate nutrient runoff from agricultural fields.

The development of a novel all-solid-state optical sensor array based on heteroatomic macrocyclic fluorophores (diaza-crown ether, metallocorrole and pyridinophans) for the photographic analysis of liquid media, is presented. The sensitivity of the new optical system toward a number of different species (cations: Li+, K+, Na+, NH4+, Mg2+, Ca2+, Co2+, Cu2+, Zn2+, Cd2+, Pb2+ and anions: NO2-, NO3-, Cl−, Br−, HCO3-) was evaluated both in single selective sensor mode and in multisensory arrangement. The satisfactory PLS1 regression models between sensor array optical response and analyte concentration were obtained for Cd2+, Cu2+, Zn2+, and NO2- ions in all the range of tested concentrations. Among these species the highest attention was focused onto detection of cadmium and nitrite ions, for which the detection limits, DL, estimated by 3σ method were found 0.0013 mg/L and 0.21 mg/L respectively, and these values are lower than the corresponding WHO guideline values of 0.003 mg/L (Cd2+) and 2 mg/L (NO2-). The suitability of the developed sensors implemented with familiar devices for signal acquisition (Light Emitting Diode, LED, as light source and a digital camera as a signal detector), and chemometric methods for data treatment to perform fast and low-cost monitoring of species under interest, in real samples of environmental importance, is demonstrated.

Aims In the past few decades, more attention has been paid to clean up soils polluted with heavy metals by plants. A serious problem in this way is the amount of heavy metals uptake by plants. This study was conducted to evaluate the effectiveness of 3 local plants of Mazandaran province, Iran, in reducing and controlling the soil’s heavy metals. Instrument & Methods The removal amount of three heavy metals (lead, zinc and cadmium) by native plants (maize, velvetleaf and wild amaranth) was investigated in alkaline (pH=8) and acidic (pH=5) soils and also using three substances such as EDTA, ammonium citrate and phosphate. The concentrations of these metals in leachate were measured by using atomic absorption spectrometry method. Findings Lead, cadmium and zinc levels in leachate in treatments with plants were less than unplanted ones. The concentrations of these metals in the produced leachate of treatments with acidic soils were higher than those with alkaline soils. In the treatments of soil polluted with additives, treatments containing ammonium phosphate and EDTA had the lowest and highest concentrations of heavy metals, respectively. Concentrations of these metals in treatments without plants were higher than those with plants. Conclusion Increasing of soil pH is effective on stabilization of heavy metals in soil. Ammonium phosphate plays an important role in stabilizing and EDTA and ammonium citrate increase the mobility of lead, zinc and cadmium in soil and groundwater.

Local administrations demand real-time and continuous pollution monitoring in sewer networks. Spectroscopy is a non-destructive technique that can be used to continuously monitor quality in sewers. Covering a wide range of wavelengths can be useful for improving pollution characterization in wastewater. Cost-effective and in-sewer spectrophotometers would contribute to accomplishing discharge requirements. Nevertheless, most available spectrometers are based on incandescent lamps, which makes it unfeasible to place them in a sewerage network for real-time monitoring. This research work shows an innovative calibration procedure that allows (Light-Emitting Diode) LED technology to be used as a replacement for traditional incandescent lamps in the development of spectrophotometry equipment. This involves firstly obtaining transmittance values similar to those provided by incandescent lamps, without using any optical components. Secondly, this calibration process enables an increase in the range of wavelengths available (working range) through a better use of the LED’s spectral width, resulting in a significant reduction in the number of LEDs required. Thirdly, this method allows important reductions in costs, dimensions and consumptions to be achieved, making its implementation in a wide variety of environments possible.

In 2016, there were 317 serious water pollution incidents in the UK, with 78,000 locations where businesses discharge controlled quantities of pollutants into rivers; therefore, continuous monitoring is vital. Since 1998, the environment agency has taken over 50 million water samples for water quality monitoring. The Internet of Things has grown phenomenally in recent years, reaching all aspects of our lives, many of these connected devices use wireless sensor networks to relay data to internet-connected nodes, where data can be processed, analyzed and consumed. However, Underwater wireless communications rely mainly on alternative communication methods such as optical and acoustic, with radio frequencies being an under-exploited method. This research presents real world results conducted in the Leeds and Liverpool Canal for the novel use of the 433 MHz radio frequency combined with a bowtie antenna in underwater communications in raw water, achieving distances of 7 m at 1.2 kbps and 5 m at 25 kbps.

Objectives: To describe levels of nitrate and trace elements in drinking water from the study areas of a multicase-control study of cancer in Spain (MCC-Spain). Methods: A total of 227 tap water samples were randomly collected from 67 municipalities in 11 provinces and the nine most frequently consumed bottled water brands were sampled to measure levels of nitrate, arsenic, nickel, chromium, cadmium, lead, selenium and zinc. Results: The median nitrate level was 4.2mg/l (rangeObjetivos: Determinar las concentraciones de nitrato y de elementos traza en el agua de consumo de las áreas del estudio Multicaso-Control de Cáncer en España (MCC-Spain). Métodos: Se tomaron al azar 227 muestras de agua municipal en 67 municipios de 11 provincias, y 9 muestras de las aguas embotelladas más consumidas, para cuantificar la cantidad presente de nitrato, arsénico, níquel, cromo, cadmio, plomo y zinc. Resultados: La mediana de las cifras de nitrato fue 4,2mg/l (rango

Background/Aim. Cyanobacterial toxins befall a group of various compounds according to chemical structure and health effects on people and animals. The most significant in this large group of compounds are microcystins. Their presence in water used for human consumption causes serious health problems, liver beeing the target organ. Microcystins are spread all over the world. Waterblooms of cyanobacterias and their cyanotoxins are also common in the majority of surface waters in Serbia. The aim of this study was to propose HPLC method for determination of mikrocystin-LR, to validate the method and to use it for determination of microcystin-LR in the surface water of the river Ponjavica. The Ponjavica is very eutrophic water and has ideal conditions for the cyanobacterial growth. Methods. Sample of water form the Ponjavica river were collected during the summer 2008. Coupled columns (HLB, Sep-Pak), were used for sample preparation and HPLC/PDA method was used for quantification of microcystin- LR. Results. Parameters of validation show that the proposed method is simple, fast, sensitive (0.1 mg/L) and selective with the yield of 89%-92%. The measuring uncertainty of

Magnetite nanoparticles (MNPs) decorated with gold nanostars (AuNSs) have been prepared by using a seed growth method without the addition of surfactants or colloidal stabilizers. The hybrid nanomaterials were investigated as adsorbents for the uptake of tetracycline (TC) from aqueous solutions and subsequent detection using surface-enhanced Raman scattering (SERS). Several parameters were investigated in order to optimize the performance of these hybrid platforms on the uptake and SERS detection of TC, including variable pH values and the effect of contact time on the removal of TC. The spatial distribution of TC and AuNS on the hybrid composites was accomplished by coupling SERS analysis with Raman imaging studies, allowing also for the determination of the detection limit for TC when dissolved in ultrapure water (10 nM) and in more complex aqueous matrices (1 μM). Attempts were also made to investigate the adsorption modes of the TC molecules at the surface of the metal NPs by taking into account the enhancement of the Raman bands in these different matrices.

As the effectiveness of conventional wastewater treatment processes is increasingly challenged by the growth of industrial activities, a demand for low-cost and low-impact treatments is emerging. A possible solution is represented by systems coupling solar concentration technology with advanced oxidation processes (AOP). In this paper, a review of solar concentration technologies for wastewater remediation is presented, with a focus on photocatalyst materials used in this specific research context. Recent results, though mostly on model systems, open promising perspectives for the use of concentrated sunlight as the energy source powering AOPs. We identify (i) the development of photocatalyst materials capable of efficiently working with sunlight, and (ii) the transition to real wastewater investigation as the most critical issues to be addressed by research in the field.

Objetivos: Valorar la exposición a plomo y otros metales relacionados con los materiales de las tuberías, a través del agua de consumo de las zonas de abastecimiento de la Comunidad Autónoma del País Vasco. Métodos: Muestreo aleatorio de viviendas en las zonas de abastecimiento. Se tomaron 3.295 muestras en 154 zonas que abastecían al 87% de las viviendas de los abastecimientos de nuestra comunidad. Se utilizó el método de muestreo conocido como random day time. En todas las muestras se determinó el plomo, y en las zonas de mayor población también el níquel, el cobre y el cromo. La determinación del hierro fue opcional. Resultados: El 1,75% (0,85-2,64) de las viviendas de las zonas de abastecimiento superaba el valor de referencia establecido para el plomo (10µg/l), el 2,21% (0,97-3,46) el del hierro (200µg/l) y el 0,33% (0,11-0,55) el del níquel (20µg/l). Ninguna muestra superó los valores de referencia del cobre y el cromo (2mg/l y 50µg/l, respectivamente). Conclusiones: El problema de la cesión de metales desde las tuberías en las viviendas de la zonas estudiadas es residual. Las concentraciones de metales en el agua se encuentran, en la gran mayoría de las viviendas, por debajo de los valores de referencia, y no se considera necesario tomar medidas de carácter general. Los abastecedores deberán identificar la presencia de tuberías de plomo y su riesgo derivado en el programa de control y gestión de cada abastecimiento en particular, especialmente en aquellas zonas que no se han incluido o no han sido lo suficiente caracterizadas en este trabajo.Objectives: To evaluate exposure to lead and other metals from drinking water as a result of the materials used for pipes in the supply areas of the Basque Country (Spain). Method: Random sampling of properties in the supply areas was carried out. A total of 3,295 samples were taken in 154 areas, which together represented 87% of the properties supplied in our region. A method known as random day time sampling was used. Each sample was tested for lead, and samples from larger areas were also tested for nickel, copper and chromium. Testing for iron was optional. Results: A total of 1.75% (0.85-2.64) of the properties in the supply areas exceeded the reference value for lead (10µg/L), 2.21% (0.97-3.46) exceeded that for iron (200µg/L) and 0.33% (0.11-0.55) exceeded that for nickel (20µg/L). None of the samples exceeded the reference values for copper and chromium (2mg/L and 50µg/L, respectively). Conclusions: The problem of metals release from piping in the properties of the areas studied in the Basque Country is residual. For most of the properties, metal levels in water are below reference values and general measures are not required. Suppliers must identify the presence of lead piping and the risk due to this type of piping as part of the control and management program for each individual supply area and, in particular, in those areas not included or not fully analyzed in this study.