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1.
J Water Health ; 21(10): 1550-1561, 2023 Oct.
Article in English | MEDLINE | ID: mdl-37902208

ABSTRACT

The potability of water, including underground sources, is constantly affected by human activities. To assess water quality and water security in rural and urban areas of southern Brazil, a quantitative, retrospective analysis of water samples collected monthly by the Brazilian health authorities (19,687 samples from 2013 to 2021) was performed. In rural areas, 5,979 water samples (77.54%) were found to be contaminated by coliform bacteria and 3,431 (44.50%) by Escherichia coli. In addition, 1,616 (20.95%) of the contaminated samples were significantly correlated with rainfall amount. In urban areas, 1,268 (10.95%) of the samples contained coliform bacteria and 293 (2.53%) of these samples contained E. coli, with the factor of rainfall associated with 1,081 samples (9.33%) with bacterial contamination. In terms of physicochemical parameters, turbidity exceeded the national standard (5 uT) in 448 (2.32%) samples and fluoride fell below the required level (0.8 mg/L) in 106 samples (0.54%). The presence of free residual chlorine (0.2-2.0 mg/L) was verified in 846 samples (14.38%) in rural areas and in 10,825 samples (56.13%) in urban areas. These results suggest a strong association between rainfall factors and physicochemical alterations, as well as the risk of greater microbial contamination of water for human consumption.


Subject(s)
Escherichia coli , Water Quality , Humans , Brazil , Retrospective Studies , Risk Factors , Water Microbiology
2.
Chemosphere ; 205: 137-146, 2018 Aug.
Article in English | MEDLINE | ID: mdl-29689527

ABSTRACT

The performances of two FAU-type zeolites with different SiO2/Al2O3 ratios were evaluated for the removal of antibiotics of three different classes, namely azithromycin, ofloxacin, and sulfamethoxazole, from aqueous solutions. Commercial zeolites were used, without any previous treatment. Use of a small adsorbent dosage resulted in fast antibiotic adsorption that followed pseudo-second order kinetics. The removals of azithromycin and sulfamethoxazole were highly pH-dependent, with low removal percentages observed under acid (pH 2.5-4.5) and basic (pH 8.5-10.5) conditions, respectively. The Freundlich isotherm model provided the best fits to the adsorption data. The adsorption mechanisms appeared to involve both electrostatic and H-bonding interactions. Using an antibiotics mixture, percentage removals of azithromycin and ofloxacin onto the zeolites of up to 79% were obtained. Both materials presented good adsorption (>50%) of azithromycin and ofloxacin from a real sample of effluent wastewater. The results showed that zeolites with FAU structure can be used as effective adsorbents for the removal of antibiotics with different physicochemical properties, including molecules with large volumes, such as azithromycin.


Subject(s)
Anti-Bacterial Agents/isolation & purification , Powders/chemistry , Water Purification/methods , Water/chemistry , Zeolites/chemistry , Adsorption , Anti-Bacterial Agents/chemistry , Hydrogen-Ion Concentration , Kinetics , Silicon Dioxide/chemistry , Water Pollutants, Chemical/chemistry , Water Pollutants, Chemical/isolation & purification
3.
Environ Sci Pollut Res Int ; 25(5): 4607-4620, 2018 Feb.
Article in English | MEDLINE | ID: mdl-29192401

ABSTRACT

The occurrence, partitioning, and spatio-temporal distribution of seven pharmaceuticals for human use, three steroid hormones and one personal care product were determined in surface water, suspended particulate matter (SPM), and sediment of Piraí Creek and Jundiaí River (Jundiaí River Basin, São Paulo, Brazil). The maximum average detected concentrations of the compounds in the Piraí River samples were < 30 ng L-1, except for caffeine (222 ng L-1). In Jundiaí River samples, most of the compounds were frequently detected, wherein caffeine had the highest concentration, with maximum average concentrations of 14,050 ng L-1, followed by atenolol (431 ng L-1), ibuprofen (268 ng L-1) and diclofenac (214 ng L-1). Atenolol, propranolol, estrone, and triclosan were the contaminants most frequently detected in sediment and SPM samples. Triclosan had the highest average proportion of SPM as opposed to in the aqueous phase (> 75%). Contaminants with acid functional groups showed, in general, a lower tendency to bind to particulate matter and sediments. In addition, hydrophobicity had an important effect on their environmental partitioning. The spatial distribution of contaminants along the Jundiaí River was mainly affected by the higher concentration of contaminants in water samples collected downstream from a sewage treatment plant (STP). The results obtained here clearly showed the importance of the analysis of some contaminants in the whole water, meaning both dissolved and particulate compartments in the water, and that the partitioning is ruled by a set of parameters associated to the physicochemical characteristics of contaminants and the matrix properties of the studied, which need be considered in an integrated approach to understand the fate of emerging chemical contaminants in aquatic environments.


Subject(s)
Caffeine/analysis , Environmental Monitoring/methods , Geologic Sediments/chemistry , Rivers/chemistry , Triclosan/analysis , Water Pollutants, Chemical/analysis , Brazil , Humans , Particulate Matter/chemistry
4.
J Sep Sci ; 38(19): 3454-60, 2015 Oct.
Article in English | MEDLINE | ID: mdl-26257164

ABSTRACT

Sediments are the fate of several emerging organic contaminants, such as pharmaceuticals, personal care products and hormones, and therefore an important subject in environmental monitoring studies. In the present work, a simple and sensitive method was developed, validated and applied for the simultaneous extraction of atenolol, caffeine, carbamazepine, diclofenac, ibuprofen, naproxen, propranolol, triclosan, estrone, 17-ß-estradiol and 17-α-ethinylestradiol using ultrasound-assisted extraction from freshwater sediment samples followed by solid-phase extraction clean-up and liquid chromatography with tandem mass spectrometry detection. The solvent type and extraction pH were evaluated to obtain the highest recoveries of the compounds. The best method shows absolute recoveries between 54.0 and 94.4% at 50 ng/g concentration. The method exhibits good precision with relative standard deviation ranging from 1.0-16%. The detection and quantification limits ranged from 0.006-0.067 and 0.016-0.336 ng/g, respectively. The developed method was successfully applied to freshwater sediment samples collected from different sites in Jundiaí River basin of São Paulo State, Brazil. The compounds atenolol, caffeine, propranolol and triclosan were detected in all the sampling sites with concentrations of 13.8, 41.0, 28.5 and 176 ng/g, respectively.


Subject(s)
Chemical Fractionation/methods , Fresh Water/chemistry , Geologic Sediments/chemistry , Water Pollutants, Chemical/analysis , Brazil , Chromatography, Liquid/methods , Environmental Monitoring/methods , Humans , Hydrogen-Ion Concentration , Rivers/chemistry , Solid Phase Extraction/methods , Solvents , Tandem Mass Spectrometry/methods , Ultrasonics
5.
Sci Total Environ ; 484: 19-26, 2014 Jun 15.
Article in English | MEDLINE | ID: mdl-24686141

ABSTRACT

The use of chemical markers of undoubted anthropogenic sources for surface freshwater contamination by wastewaters was evaluated employing correlations observed between measured physico-chemical parameters as the electrical conductivity and the concentration of different emerging organic compounds. During the period from April/2011 to April/2012 spatial-temporal variations and contamination patterns of two rivers (Piraí and Jundiaí rivers), São Paulo state, Brazil were evaluated. Seven physico-chemical parameters and concentrations of different classes of emerging contaminants were determined in samples collected in seven field campaigns. The high linear correlation coefficients obtained for the compounds diclofenac (r=0.9085), propanolol (r=0.8994), ibuprofen (r=0.8720) and atenolol (r=0.7811) with electrical conductivity, also corroborated by principal component analysis (PCA), point to the potential use of these compounds as markers of investigated surface water contamination by wastewaters. Due to specific inputs, these environmental markers showed very good effectiveness for the identification and differentiation of water body contamination by discharges of treated and untreated urban sewage.


Subject(s)
Electric Conductivity , Environmental Monitoring/methods , Fresh Water/chemistry , Wastewater/analysis , Water Pollutants, Chemical/chemistry , Brazil , Wastewater/chemistry , Water Pollutants, Chemical/analysis
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