Ortho Phosphate Research Articles

Estimating Iowa’s riverine phosphorus concentrations via water quality surrogacy

Phosphorus (P) is a widespread waterborne pollutant that impairs many waterbodies. However, it is challenging to measure directly, and much research has been dedicated to developing surrogacy models that can repeatedly predict its concentration. Optimal approaches for modeling strategies are often unclear and depend upon local P dynamics and the availability of financial and technical resources. This study presents a schema for developing P surrogacy models at a statewide scale (16 major rivers in Iowa, USA). Specifically, we examined the relationship between particulate phosphorus (Part P) and orthophosphate (OP) and explored the viability of eight potential surrogates in predicting their concentrations using multiple linear regression and power regression methods. We also investigated similarities between surrogate models for Part P and total suspended solids (TSS). At all sites, OP and Part P were not strongly correlated (mean R = 0.20 ± 0.17). Many instances were observed where samples had high concentrations of one form but not the other. Modeling results demonstrated that turbidity was consistently the best predictor (t-statistics >10) of Part P, and adding other surrogates alongside turbidity did little to improve model performance. No surrogates proved useful in estimating OP. Viable power regression models were created using turbidity to predict Part P (mean R2 = 0.69 ± 0.12). These models had a nonlinear form where Part P concentrations leveled off as waters became exceptionally turbid. This contrasted with TSS, which maintained a strong linear relationship across all turbidity levels. Turbidity-based models show promise in quantifying statewide P levels, as they enable high-resolution and real-time Part P estimates.

Impact of copper sulphate treatment on cyanobacterial blooms and subsequent water quality risks

Control of algal blooms and associated biologically-induced water quality risks in drinking reservoirs is problematic. Copper sulphate (CuSO4) treatment is one intervention that has been utilised for >100 years. Evidence indicates a favourable short-term reduction in Cyanobacterial biomass (e.g. bloom termination), but here we indicate that it may also increase longer-term water quality risk. In 2022, we investigated the impacts of CuSO4 spraying on Cyanobacterial communities and nutrient levels within a drinking water supply reservoir using environmental DNA (eDNA) to assess community shifts, alongside monitoring nutrient fractions, orthophosphate (OP) and total phosphate (TP), post-treatment. CuSO4 application successfully reduced Cyanobacterial abundance, however elimination of Cyanobacteria resulted in a shift in bacterial dominance favouring Planctomycetota throughout the summer and a combination of Actinobacteriota and Verrucomicrobiota, throughout autumn. As Cyanobacterial abundance recovered post-treatment, Cyanobacterial genera demonstrated greater diversity compared to only three Cyanobacterial genera present across samples pre-treatment, and included taxa associated with water quality risk (e.g. taste and odour (T&O) metabolite and toxin producers). The increase in Cyanobacteria post-treatment was attributed to an increase in biologically available nutrients, primarily a significant increase in OP. Overall, findings suggest that the significant shift in biodiversity likely induces a less stable ecosystem with greater plasticity of response to changing environmental and biogeochemical variables. Legacy implications of CuSO4 spraying, in terms of shifts in ecosystem and nutrient balance over time, may have implications for drinking water quality, but importantly also for reservoir management options. As such, the effects of CuSO4 spraying should be considered carefully before consideration as a contender for in-reservoir biological control.

Mechanical activation of a natural calcite for enhanced orthophosphate sorption

We examined the effect of dry grinding on the properties of a calcite material and its sorption behaviour with respect to orthophosphate (OP). Limestone was ground in a planetary ball mill for 30 min using sample:ball mass ratio of 5:1 and grinding speed of 250–550 rpm. Specific surface area linearly developed from 7.2 m2 g-1 (initial material) to 15.6 m2 g-1 (550 rpm). Ground samples showed slightly lower content of calcite compared to the initial material (94.3–94.6 % vs 98.7 %), without evidence of an aragonite-like phase being formed, suggesting amorphization. Crystallite size in the samples linearly declined from 597 to 170 Å (initial material vs 550 rpm). Reactivity of limestone increased leading to higher dissolution with however only minor rise in the solution pH. Grinding distinctly enhanced maximum OP uptake from 14 % (initial material) to 60–92 % (250–550 rpm). Sorption kinetics accelerated with the grinding speed: reaction time needed to remove 50 % of the OP was reduced from 8 h (250 rpm) to only 5 h (550 rpm). This was due to increased surface area and enhanced reactivity. Mechanical processing of limestones by intense grinding is a promising solution to gain easily available, safe and relatively efficient calcite material for P control for environmental applications.

Deciphering competitive interactions: Phosphate and organic matter binding on goethite through experimental and theoretical insights

The adsorption of phosphorus (P) onto active soil surfaces plays a pivotal role in immobilizing P, thereby influencing soil fertility and the filter function of soil to protect freshwater systems from eutrophication. Competitive anions, such as organic matter (OM), significantly affect the strength of this P-binding, eventually controlling P mobility and release, but surprisingly, these processes are insufficiently understood at the molecular level. In this study, we provide a molecular-level perspective on the influence of OM on P binding at the goethite-water interface using a combined experimental-theoretical approach. By examining the impact of citric acid (CIT) and histidine (HIS) on the adsorption of orthophosphate (OP), glycerol phosphate (GP), and inositol hexaphosphate (IHP) through adsorption experiments and molecular dynamics simulations, we address fundamental questions regarding P binding trends, OM interaction with the goethite surface, and the effect of OM on P adsorption. Our findings reveal the complex nature of P adsorption on goethite surfaces, where the specific OM, treatment conditions (covering the surface with OM or simultaneous co-adsorption), and initial concentrations collectively shape these interactions. P adsorption on goethite exhibits a binding strength increasing in the order of GP < OP < IHP. Crucially, this trend remains consistent across all adsorption experiments, regardless of the presence or absence of OM, CIT, or HIS, and irrespective of the specific treatment method. Notably, OP is particularly susceptible to inhibition by OM, while adsorption of GP depends on specific OM treatments. Despite being less sensitive to OM, IHP shows reduced adsorption, especially at higher initial P concentrations. Of significance is the strong inhibitory effect of CIT, particularly evident when the surface is pre-covered, resulting in a substantial 70 % reduction in OP adsorption compared to bare goethite. The sequence of goethite binding affinity to P and OM underscores a higher affinity of CIT and HIS compared to OP and GP, suggesting that OM can effectively compete with both OP and GP and replace them at the surface. In contrast, the impact of OM on IHP adsorption appears insignificant, as IHP exhibits a higher affinity than both CIT and HIS towards the goethite surface. The coverage of goethite surfaces with OM results in the blocking of active sites and the generation of an unfavorable electric potential and field, inhibiting anion adsorption and consequently reducing P binding. It is noteworthy that electrostatic interactions predominantly contribute more to the binding of P and OM to the surface compared to dispersion interactions.

Optimization of pollutants removal from anaerobically digested dairy wastewater by electro-oxidation process: a response surface methodology modeling and validation

The release of anaerobically digested dairy wastewater (ANDDW) without a treatment can lead to severe environmental pollution, prompting the exploration of effective and sustainable treatment methods. Amidst various wastewater treatment approaches, the electro-oxidation (EO) process is considered as a promising, clean, and adaptable solution. In this study, the major operational parameters viz. current density, electrolyte concentration, treatment time, and mixing speed of an EO comprising Ti/PbO2 anode and stainless-steel cathode, were optimized using response surface methodology (RSM) for efficient removal of chemical oxygen demand (COD), ammonia nitrogen (NH3-N), total phosphorus (TP), orthophosphate (OP), total nitrogen (TN), and total Kjeldahl nitrogen (TKN) from ANDDW. Optimal conditions were identified as a current density of 90 mA cm−2, 0.08% electrolyte concentration, 180 min treatment time, and 400 rpm mixing speed. Under the optimum conditions, the COD, NH3-N, TP, OP, TN, and TKN removal efficiencies were 78.36, 63.93, 87.41, 92.39, 67.01, and 81.42%, respectively. Furthermore, the reaction rate followed the first-order kinetic model for the pollutants removal with correlation coefficients (R2) close to 1. The findings highlight the potential of using the EO process to treat high pollutant-laden ANDDW and encourage further studies to confirm the corresponding outcomes on a pilot scale.Graphical abstract

Nutrient Loadings to Utah Lake from Precipitation-Related Atmospheric Deposition

Atmospheric deposition (AD) is a less understood and quantified source of nutrient loading to waterbodies. AD occurs via settling (large particulates), contact (smaller particulates and gaseous matter), and precipitation (rain, snow) transport pathways. Utah Lake is a shallow eutrophic freshwater lake located in central Utah, USA, with geophysical characteristics that make it particularly susceptible to AD-related nutrient loading. Studies have shown AD to be a significant contributor to the lake’s nutrient budget. This study analyzes nutrient samples from nine locations around the lake and four precipitation gauges over a 6-year study period using three different methods to estimate AD from the precipitation transport pathway. The methods used are simple averaging, Thiessen polygons, and inverse distance weighting, which we use to spatially interpolate point sample data to estimate nutrient lake loads. We hold that the inverse distance weighting method produces the most accurate results. We quantify, present, and compare nutrient loads and nutrient loading rates for total phosphorus (TP), total inorganic nitrogen (TIN), and ortho phosphate (OP) from precipitation events. We compute loading rates for the calendar year (Mg/yr) from each of the three analysis methods along with monthly loading rates where Mg is 106 g. Our estimated annual precipitation AD loads for TP, OP, and TIN are 120.96 Mg/yr (132.97 tons/yr), 60.87 Mg/yr (67.1 tons/yr), and 435 Mg/yr (479.5 tons/yr), respectively. We compare these results with published data on total AD nutrient loads and show that AD from precipitation is a significant nutrient source for Utah Lake, contributing between 25% and 40% of the total AD nutrient load to the lake.

Structuring Nutrient Yields throughout Mississippi/Atchafalaya River Basin Using Machine Learning Approaches

To minimize the eutrophication pressure along the Gulf of Mexico or reduce the size of the hypoxic zone in the Gulf of Mexico, it is important to understand the underlying temporal and spatial variations and correlations in excess nutrient loads, which are strongly associated with the formation of hypoxia. This study’s objective was to reveal and visualize structures in high-dimensional datasets of nutrient yield distributions throughout the Mississippi/Atchafalaya River Basin (MARB). For this purpose, the annual mean nutrient concentrations were collected from thirty-three US Geological Survey (USGS) water stations scattered in the upper and lower MARB from 1996 to 2020. Eight surface water quality indicators were selected to make comparisons among water stations along the MARB over the past two decades. Principal component analysis (PCA) was used to comprehensively evaluate the nutrient yields across thirty-three USGS monitoring stations and identify the major contributing nutrient loads. The results showed that all samples could be analyzed using two main components, which accounted for 81.6% of the total variance. The PCA results showed that yields of orthophosphate (OP), silica (SI), nitrate–nitrites (NO3-NO2), and total suspended sediment (TSS) are major contributors to nutrient yields. It also showed that land-planted crops, density of population, domestic and industrial discharges, and precipitation are fundamental causes of excess nutrient loads in MARB. These factors are of great significance for the excess nutrient load management and pollution control of the Mississippi River. It was found that the average nutrient yields were stable within the sub-MARB area, but the large nitrogen yields in the upper MARB and the large phosphorus yields in the lower MARB were of great concern. t-distributed stochastic neighbor embedding (t-SNE) revealed interesting nonlinear and local structures in nutrient yield distributions. Clustering analysis (CA) showed the detailed development of similarities in the nutrient yield distribution. Moreover, PCA, t-SNE, and CA showed consistent clustering results. This study demonstrated that the integration of dimension reduction techniques, PCA, and t-SNE with CA techniques in machine learning are effective tools for the visualization of the structures of the correlations in high-dimensional datasets of nutrient yields and provide a comprehensive understanding of the correlations in the distributions of nutrient loads across the MARB.

Optimization of Simultaneous Nutrients and Chemical Oxygen Demand Removal from Anaerobically Digested Liquid Dairy Manure in a Two-Step Fed Sequencing Batch Reactor System Using Taguchi Method and Grey Relational Analysis.

The technological development for efficient nutrient removal from liquid dairy manure is critical to a sustainable dairy industry. A nutrient removal process using a two-step fed sequencing batch reactor (SBR) system was developed in this study to achieve the applicability of simultaneous removal of phosphorus, nitrogen, and chemical oxygen demand from anaerobically digested liquid dairy manure (ADLDM). Three operating parameters, namely anaerobic time:aerobic time (min), anaerobic DO:aerobic DO (mg L-1), and hydraulic retention time (days), were systematically investigated and optimized using the Taguchi method and grey relational analysis for maximum removal efficiencies of total phosphorus (TP), ortho-phosphate (OP), ammonia-nitrogen (NH3-N), total nitrogen (TN), and chemical oxygen demand (COD) simultaneously. The results demonstrated that the optimal mean removal efficiencies of 91.21%, 92.63%, 91.82%, 88.61%, and 90.21% were achieved for TP, OP, NH3-N, TN, and COD at operating conditions, i.e., anaerobic:aerobic time of 90:90 min, anaerobic DO:aerobic DO of 0.4:2.4 mg L-1, and HRT of 3 days. Based on analysis of variance, the percentage contributions of these operating parameters towards the mean removal efficiencies of TP and COD were ranked in the order of anaerobic DO:aerobic DO > HRT > anaerobic time:aerobic time, while HRT was the most influential parameter for the mean removal efficiencies of OP, NH3-N, and TN followed by anaerobic time:aerobic time and anaerobic DO:aerobic DO. The optimal conditions obtained in this study are beneficial to the development of pilot and full-scale systems for simultaneous biological removal of phosphorus, nitrogen, and COD from ADLDM.

Impact of operational strategies on a sidestream enhanced biological phosphorus removal (S2EBPR) reactor in a carbon limited wastewater plant.

Water resource recovery facilities are faced with stringent effluent phosphorus limits to reduce nutrient pollution. Enhanced biological phosphorus removal (EBPR) is the most common biological route to remove phosphorus; however, many facilities struggle to achieve consistent performance due to limited carbon availability in the influent wastewater. A promising process to improve carbon availability is through return activated sludge (RAS) fermentation via sidestream EBPR (S2EBPR). In this study, a full-scale S2EBPR pilot was operated with a sidestream plus carbon configuration (SSRC) at a carbon-limited facility. A model based on the pilot test was developed and calibrated in the SUMO platform and used to explore routes for improving orthophosphate (OP) effluent compliance. Modeling results showed that RAS diversion by itself was not sufficient to drive OP removal to permit limits of 1 mg L-1, therefore, other strategies were evaluated. Supplemental carbon addition of MicroC® at 1.90 L min-1 and controlling the phosphorus concentration below 3.5 mgP L-1 in the primary effluent (PE) proved to be valid supplemental strategies to achieve OP removal below 1 mg L-1 most of the time. In particular, the proposed supplemental carbon flow rate would result in an improvement of the rbCOD:P ratio from 17:1 to 26:1. The synergistic approach of RAS diversion and supplemental carbon addition increased the polyphosphate accumulating organisms (PAO) population while minimizing the supplemental carbon needed to achieve consistent phosphorus removal. Overall, this pilot and modeling study shows that joint strategies, including RAS diversion, carbon addition and PE control, can be effective to achieve optimal control of OP effluent.

The uncertainity in stormwater quality modelling for temperate and tropical catchments

More research has been done on the uncertainty of stormwater quantity as compared to quality modelling. Although the washoff model has been in use for decades, there is a general lack of studies on the uncertainty associated with washoff modelling and how this uncertainty varies between catchments in different climate zones due to differences in rainfall conditions. This study investigated model structure uncertainty, in addition to gaining knowledge on model parameter uncertainty in water quality modelling of urban catchments located in two climate zones. Such a study not only adds to the body of knowledge but highlights the importance of distinguishing the difference in washoff behaviour, and their results, between catchments in different climate zones. Following an exhaustive search and assessment of data quality, the rainfall, discharge and water quality data sourced from 11 residential catchments, which include 72 events from temperate catchments and 59 from tropical catchments were analysed. Comparison of uncertainty between buildup-washoff model (BW) and washoff model (WO) results for particulate (Total Suspended Solids (TSS)), mixed (Total Phosphorus (TP), Total Nitrogen (TN)) and dissolved (ortho-Phosphate (OP), Ammonium (NH4-N)) phase water quality parameters were carried by using the Generalized Likelihood Uncertainty Estimation (GLUE) method. Higher Average Relative Interval Length (ARIL) values obtained for tropical catchments showed that uncertainty in model prediction is higher than temperate catchments. This result is confirmed for both the BW and WO modelling approaches. The threshold criteria for obtaining behavioural set chosen as likelihood measure of Tr = 0.7 (based on the Nash-Sutcliffe coefficient) and η ≥ 70 % (proportion of observed data falling within the 90 % uncertainty band of the simulated data distribution over the total number of observations) are mostly satisfied for the particulate phase and least by the dissolved phase water quality parameters, providing further evidence that the structure of the models are not universally applicable, and that model results should be understood in the light of this difference. Comparisons between the BW and WO approaches showed similar levels of uncertainty, irrespective of climate. Although this is consistent with other studies reported in the literature, the antecedent dry period (ADP), a key parameter in the buildup process, was not significantly (p =.07) different between the temperate and tropical datasets. This is likely an artifact of sampling, especially for temperate catchments, where field data is collected during the rainy season, when ADP is limited and similar with catchment in the tropics.

Developing Porous Ortho- and Pyrophosphate-Containing Glass Microspheres; Structural and Cytocompatibility Characterisation.

Phosphate-based glasses (PBGs) are promising materials for bone repair and regeneration as they can be formulated to be compositionally similar to the inorganic components of bone. Alterations to the PBG formulation can be used to tailor their degradation rates and subsequent release of biotherapeutic ions to induce cellular responses, such as osteogenesis. In this work, novel invert-PBGs in the series xP2O5·(56 - x)CaO·24MgO·20Na2O (mol%), where x is 40, 35, 32.5 and 30 were formulated to contain pyro (Q1) and orthophosphate (Q0) species. These PBGs were processed into highly porous microspheres (PMS) via flame spheroidisation, with ~68% to 75% porosity levels. Compositional and structural analysis using EDX and 31P-MAS NMR revealed that significant depolymerisation occurred with reducing phosphate content which increased further when PBGs were processed into PMS. A decrease from 50% to 0% in Q2 species and an increase from 6% to 35% in Q0 species was observed for the PMS when the phosphate content decreased from 40 to 30 mol%. Ion release studies also revealed up to a four-fold decrease in cations and an eight-fold decrease in phosphate anions released with decreasing phosphate content. In vitro bioactivity studies revealed that the orthophosphate-rich PMS had favourable bioactivity responses after 28 days of immersion in simulated body fluid (SBF). Indirect and direct cell culture studies confirmed that the PMS were cytocompatible and supported cell growth and proliferation over 7 days of culture. The P30 PMS with ~65% pyro and ~35% ortho phosphate content revealed the most favourable properties and is suggested to be highly suitable for bone repair and regeneration, especially for orthobiologic applications owing to their highly porous morphology.

Assessment of the impact of diluted and pretreated olive mill wastewater on the treatment efficiency by infiltration-percolation using natural bio-adsorbents.

The current study was carried out to treat the olive mill wastewater (OMW) via infiltration percolation process, using low-cost natural adsorbents that could improve the ability of the system to enhance the disposal rate of elimination of pollutant from the OMW. The experimental pilot was composed of three PVC(polyvinyl chloride)columns with 10cm in diameter and 110-cm height equipped with lateral air entries. Each column was filled with four layers of 10cm of a mixture of sand (70%), charcoal (20%) and sawdust (10%) respectively. These layers were alternated by four permeable layers of 10cm of Pouzzolane. To assess the effect of the pretreatment on the efficiency of the system, three types of OMW were used: raw OMW, diluted OMW with domestic wastewater at 1/1(v/v) ratio and OMW pretreated with lime. For the column feed with raw OMW, an average removal of total COD (41%), dissolved COD (54%), NH4-N (40.25%), NO3- (15.76%), total phosphorus (55.63%) and orthophosphate (50.84%) was recorded. The results showed that the column feed with diluted OMW with domestic wastewater was the most efficient one with a removal rate that reached 93.2% of total COD, 86.2% of dissolved COD, 92% of polyphenol, 92% of orthophosphate (OP), 97.2% of total phosphorus (TP) and 81% of NH4-N. The pretreatment of OMW with lime gave the lowest removal rate for all the parameters: total COD (34%), dissolved COD (50%), NH4-N (30%), NO3- (- 21%), total phosphorus (15.19%) and orthophosphate (9.04%). This study demonstrated that the dilution is a way to optimize the efficiency of the system of infiltration-percolation in treating the OMW.

Analytical Method Development and Validation for Determination of Acalabrutinib by Using RP-HPLC

A unique, selective, and precise RP-HPLC technique for quantifying acalabrutinib in pure and pharmaceutical dose form was developed and validated. Acalabrutinib is an oral kinase inhibitor with an antineoplastic effect and an apoptosis inducer. It is used for the treatment of adult patients with mantle cell lymphoma (MCL). The isolation was obtained on the BDS C18 column (150 x 4.6mm) with a 5µ particle size. At a flow rate of 1ml/min, an optimised mobile phase of 0.1 percent potassium di hydrogen ortho phosphate and acetonitrile (70:30 v/v) was utilised. The wavelength was chosen to be 294nm. Acalabrutinib had a retention time of 2.585 minutes. Acalabrutinib linearity was found to be 12.5-75 g/ml. The linearity equations for acalabrutinib were y = 71296x + 49305, with a correlation coefficient of 0.999. The precision percent RSD was found to be less than 2%. Acalabrutinib recovered at a rate of 99.81 percent. The LOD and LOQ for acalabrutinib were obtained as 0.408 µg/ml and 1.236 µg/ml respectively. The projected technique was recognized to be precise, accurate and ideal for use in QC laboratories for quantitative analysis of both individual and mixed dosage forms of pharmaceuticals. Keywords: RP-HPLC, Method Development and Validation

DETERMINATION OF ACTIVE INGREDIENT IN TAMSULOSIN DRUG BY USING HPLC

This study was aimed to development and modification the method of analysis for active ingredient in Tamsulosin drug by using high performance liquid chromatography (HPLC) also determined shelf life and storage conditions for Tamsulosin. Chromatographic conditions utilized stationary phase C18 (250*4.6) mobile phase 0.05Nmixture of di hydrogen ortho phosphate and Acetonitrile 55:45 , preserve the flow rate near (1ml/min) and length of wave has been 275nm, The retention time found to be 10 minute for the HPLC process . The Tamsulosin assay result was found to be 99.93% . The calibration curve linearity analysis results showed a strong linear relationship in the concentration range (10-200ppm) and the correlation coefficient, slope and intercept value were 0.9933,11796,190017, respectively The percentage recovery was found 99%. LOD value was found to 0.00053 µg/ml and LOQ value was found to 0.0016 µg/ml , Precision was found to be 99.49% Robustness was found to 99.69%. Our proposed procedure confirmed a group of merits such as Linear ,accurate ,precise ,and robust , could be recommended for determination of Tamsulosin.

Method development and validation for simultaneous estimation of aspirin, ramipril and atorvastatin by RP-HPLC method in its pure and tablet dosage form

A simple, accurate, and precise method for estimating Aspirin, Atorvastatin, and Ramipril in Tablet dosage form was developed. Symmetry C18 (150 x 4.6 mm, 3.5) was used to run the chromatogram. At a flow rate of 1.0 ml/min, a mobile phase containing potassium dihydrogen ortho phosphate (pH adjusted to 3) and Methanol in the ratio 35:65 was pumped through the column. The temperature was kept at 30°C. The optimised wavelength chosen was 240.0 nm. Ramipril, Atorvastatin, and Aspirin had retention times of 1.803 minutes, 2.506 minutes, and 3.875 minutes, respectively. The percent RSD of Ramipril, Atorvastatin, and Aspirin were determined to be 0.99, 0.42, and 0.42, respectively. The method is linear for Ramipril concentrations ranging from 12.5 to 62.5 g/ml, Atorvastatin concentrations ranging from 160 to 800 g/ml, and Aspirin concentrations ranging from 5 to 25 g/ml. The method was accurate, with a percent recovery of 99.13 to 100 percent for Ramipril, 99.3 to 100.2 percent for Atorvastatin, and 99.3 to 100 percent for Ramipril, respectively. The developed method is robust after deliberate changes in flowrate and mobile phase composition with a percent RSD less than 2.

Influence of different additives on the rheology and microstructural development of MgO–SiO2 mixes

Development of alternative binder systems to be used in additive and automated manufacturing technologies is crucial for increasing the sustainability and productivity of the construction process . Advancements in this area facilitate shorter construction durations, enhanced resource efficiency and reduced construction waste; enabling complex, high-quality and functional designs that would not be possible with traditional methods. The novelty of this work involves the demonstration of the properties of a promising alternative binder, reactive MgO–SiO 2 (RMS) binder, that can highlight its feasibility to be used in large-scale applications and the identification of the effects of different phosphate additives during this process. RMS mixes containing three different phosphate additives (sodium hexametaphosphate, trimetaphosphate and orthophosphate (OP)) were analyzed for their pH, reaction kinetics, workability, mechanical performance and rheological properties to reveal the influence of these additives on the properties of RMS mixes. These findings were supported by FTIR, 29 Si MAS NMR and XRD measurements. The inclusion of OP in RMS binder systems increased the pH of solution, thereby improving the dissolution of silica and its reaction with Mg-phases and resulting in enhanced magnesium-silicate-hydrate (M-S-H) formation. These improvements in hydration mechanisms translated into better mechanical performance and rheological properties, which can correlate to desirable properties for 3D printing applications.

Characteristics of nearshore water quality of Lake Ontario coast under Credit Valley Conservation Jurisdiction, Ontario, Canada

The 28.5 km Lake Ontario shoreline along Credit Valley Conservation’s jurisdiction is habitat for native flora and fauna, the source of drinking water for over two million residents, and the location of outfalls for Region of Peel’s two wastewater treatment plants. Some of the significant sources of pollutants to this region are urban tributaries and the Credit River. Instream, shoreside, and nearshore water quality of this region were characterized under this Lake Ontario Integrated Shoreline Strategy study. Eight Parameters of Concern (PoC); water temperature (WT), total suspended solids (TSS), total phosphorous (TP), orthophosphate (OP), nitrate-nitrogen (NO3-N), Escherichia coli (E. coli), specific conductivity (SC), and pH were studied from 2011 to 2013. Amongst all the PoCs TP was of concern since its instream (75th percentile range: 51.0 µg/L to 188 µg/L), shoreside (75th percentile range: 9.00 µg/L to 53.75 µg/L), and nearshore (75th percentile range: 9.75 µg/L to 19.00 µg/L) concentrations, exceeded their respective objectives of 30 µg/L and 10 µg/L. Other parameters in shoreside/nearshore samples met their respective provincial/federal objectives/guidelines; however, instream E. coli and specific conductivity levels were elevated, reflecting the effects of urbanization. The Lake water temperature moorings recorded lake stratification dynamics, including eight downwelling and five upwelling events during 2011 deployment period. These results provide baseline data for future climate change-related assessment studies.

Integration of complete elemental mass-balanced stoichiometry and aqueous phase chemistry for bioprocess modelling of liquid and solid waste treatment systems – Part 4: Aligning the modelled and measured aqueous phases

Completely mass-balanced biological, physical and chemical process stoichiometry ensures that the CHONPS material and charge content entering and exiting bioprocess system models is conserved, which is a requirement for pH prediction in integrated physical, chemical and biological process models. Bioprocesses transform the material content from reactants to products, exchanging material between the aqueous, gaseous and solid phases, which cause pH changes in the aqueous phase. By measuring the material content of the aqueous phase, the progress of bioprocesses can be monitored. Alkalinity is an important aqueous-phase property that can be used to track aqueous-phase changes caused by physical, chemical and biological processes. Alkalinity is a stoichiometry property of the components in solution (i.e., a linear function of the amounts present). Its uptake from, and release to, the aqueous phase can both be modelled with bioprocess stoichiometry, and measured in physical bioprocess systems, and so aid in linking the modelled and measured aqueous-phase compositions. Changes in the concentrations of components containing the elements C, H, O, N, P and S result in changes in six weak acid/bases systems in the aqueous phase, all of which affect the total alkalinity. These are: inorganic carbon (IC), ortho-phosphate (OP), free and saline ammonia (FSA), volatile fatty acids (VFA), free and saline sulphide (FSS) and the water itself. Characterization of the aqueous phase to quantify the material content of the aqueous phase containing these six weak acid/base systems using the 5-point titration method is described. While several alkalinity titration based methods are available for anaerobic digestion bioprocess monitoring, only the 5-point titration is sufficiently accurate for aqueous-phase characterization to quantify the aqueous-material content for pH prediction in bioprocess models.

Water Quality Trends and Shifts Vary across Constituents in the Upper Poteau River Watershed

HighlightsThe relatively undisturbed Black Fork showed either decreases or no change in flow-adjusted constituents.Water quality was changing at the Poteau River and James Fork, both impacted by point and nonpoint sources.At the James Fork, total P did not change and OP increased, while P decreased at the Poteau River; N increased at both.After shift changes in flow-adjusted concentrations, often no monotonic trends occurred over time.Abstract. Water quality trend analyses seek to determine whether constituent concentrations or loads have increased or decreased over time, which can suggest the effectiveness of management practices or the need for pollutant reduction. The Poteau River watershed (PRW) is a transboundary watershed across Arkansas and Oklahoma, and the Arkansas portion is listed as a priority watershed. The Poteau River flows into Lake Wister, which is an important reservoir for recreation, fishing, and waterfowl hunting in eastern Oklahoma. The purpose of this study was to analyze long-term water quality trends across the upper PRW using the three-step trends method and to determine how water quality has evolved with increasing agriculture and changes in wastewater treatment discharges in Arkansas. The relatively undisturbed river in the PRW, the Black Fork, showed either significant decreases or no change in nutrient and sediment concentrations over time (i.e., ~1.0% year-1 decrease or less). On the other hand, water quality has changed over time in the James Fork and Poteau River watersheds, which are impacted by both point and nonpoint sources. At the James Fork, orthophosphate (OP) significantly increased over time, while total phosphorus (TP) and OP significantly decreased at the Poteau River; total nitrogen (TN) and nitrate plus nitrite (NN) significantly increased at both. Finally, sediment concentrations significantly decreased over time at both the Poteau River and James Fork, with decreasing shifts also occurring in the early 2000s. The changes over time were not necessarily monotonic, as shifts in flow-adjusted concentrations were observed. Effluent concentrations from point sources were found to be decreasing in the 2000s, and regulations were implemented in Arkansas to manage poultry little applications in nutrient surplus areas (i.e., the upper PRW) based on the P index. After those shift changes, water quality was not monotonically changing for most sites and parameters over time. Overall, continued monitoring should be prioritized to ensure that increasing or unchanging trends do not jeopardize water quality in the watershed. Keywords: Point and nonpoint sources, Water quality trends, Watershed management.

Stability-indicating method development and validation for the concurrent determination of darunavir, cobicistat, emtricitabine and tenofovir alafenamide by UPLC in bulk and tablet dosage forms

BackgroundTablet dosage forms containing combination of darunavir a protease inhibitor, cobicistat a cytochrome P450 3A inhibitor, emtricitabine and tenofovir alafenamide which were nucleoside reverse transcriptase inhibitors were approved by USFDA on 1st July 2018 to suppress the viral load in HIV patients. It can be used as a complete regimen for the treatment of HIV-1 infection in adults and paediatric patients weighing at least 40 kg. An UPLC method was developed, and separation was done on SB C8 column of dimensions 50 × 2.1 × 1.8 μ with mobile phase 0.01 N potassium dihydrogen ortho phosphate (pH-4.8) and acetonitrile in 60:40 ratio, at a flow rate of 0.3 mL/min and an injection volume of 2 μL. The column temperature was maintained at 30 °C, and detection wavelength was 267 nm. The method was validated according to ICH guidelines.ResultsThe retention times were 1.031, 1.341, 1.630 and 2.153 min, and they were linear in the concentration range of 1.25–7.5 μg/mL, 18.75–112.5 μg/mL, 25–150 μg/mL and 100–600 μg/mL for tenofovir alafenamide, cobicistat, emtricitabine and darunavir, respectively. The intraday and interday precisions were found to be within acceptable limits. LOD was found to be 0.06 μg/mL, 0.51 μg/mL, 1.31 μg/mL and 3.01 μg/mL, and LOQ was 0.19 μg/mL, 1.54 μg/mL, 3.96 μg/mL and 9.13 μg/mL for tenofovir alafenamide, cobicistat, emtricitabine and darunavir. The correlation coefficients were found to be more than 0.999, and recovery was more than 99.52% indicating the method was accurate. Forced degradation studies reveal that the drugs are unstable under acidic conditions. The method was simple, accurate, precise, stable and can be analysed in less runtime of 4 min.ConclusionsThe flexibility, accuracy and precision of the developed method ensure its applicability in routine analysis of tablet dosage forms.Graphical