Solubility determination and thermodynamic model analysis of L-α-glyceryl phosphorylcholine in different organic solvents of 278.15 K to 323.15 K

L-α-glyceryl phosphorylcholine, also referred to as choline ethanol phosphate and phosphocholine glycerophosphate, is a naturally occurring metabolite of water-soluble phospholipids in animals. This molecular property is important for informing the crystallization and purification of drugs. The solubility of L-α-glyceryl phosphorylcholine was determined in ten pure solvents and three mixed solvents under atmospheric pressure. The experimental results indicate that L-α-glyceryl phosphorylcholine is most soluble in methanol and least soluble in acetone. Additionally, the solubility of L-α-glyceryl phosphorylcholine was found to increase with temperature within the experimental range. Furthermore, the solubility of L-α-glyceryl phosphorylcholine in binary solvents is dependent on the proportion of positive solvent and temperature. The solubility of L-α-glyceryl phosphorylcholine increases with the proportion of positive solvent. XRD and DSC results indicate that the crystal form of L-α-glyceryl phosphorylcholine remains unchanged before and after dissolution in the reagent, and its melting point temperature is 413.15 K. Various models, including the modified Apelblat model, λh model, Jouyban-Acree model, SUN model, and CNIBS/R-K model, were used to fit the solubility data of L-α-glyceryl phosphorylcholine in different solvents. The study found that the modified Apelblat model and CNIBS/R-K model were the most appropriate for fitting the data. The KAT-LSER model was used to analyze the molecular interactions between solvents and solutes, revealing that the solvent step method with non-specific polarity/polarization interaction had the greatest impact on solubility.

Comparative multi-model study of PM2.5 acidity trend changes in ammonia-rich regions in winter: Based on a new ammonia concentration assessment method

Air quality in ammonia-rich regions such as Zhengzhou is improving year by year, however, fine particulate matter (PM_2.5) pollution is serious in winter. Aerosol acidity (pH) affects every aspect of the surrounding particle composition and environment. Thermodynamic models of gaseous and particulate composition datasets can provide pH estimates. Nevertheless, for ammonia-rich regions in the presence of prolonged NH₃ deficiency, the thermodynamic model is limited in calculating pH by using only datasets composed of the particulate phase. In this study, an NH₃ concentration calculation method was established via SPSS-coupled multiple linear regression to simulate the trend of NH₃ concentration over a long period of time and to assess the long-term pH value in ammonia-rich regions. The reliability of this method was verified using multiple models. The range of NH₃ concentration change from 2013 to 2020 was found to be 4.3-68.6 μg·m^-3, and the range of pH change was 4.5-6.0. The pH sensitivity analysis indicated that decreasing aerosol precursor concentrations and variations in temperature and relative humidity were the driving factors for aerosol pH changes. Therefore, policies to reduce NH₃ emissions are becoming increasingly necessary. This study provides a feasibility analysis for reducing PM_2.5, thus achieving standards in ammonia-rich regions, including Zhengzhou.

An integrated strategy for nutrient harvesting from hydrolyzed human urine as high-purity products: Tracking of precipitation transformation and precise regulation

The nutrient recovery from source-separated urine is of great significance for a sustainable and closed nutrient loop. However, common urine-processing techniques have several constraints, including inefficient recovery, low product purity and incapability of simultaneously harvesting multiple nutrients. In this study, an integrated strategy of P precipitation and N stripping was first proposed to harvest nutrients from hydrolyzed human urine as high-purity products via precisely regulating Ca/P dosing ratio. Ca(OH)2 was utilized to trigger Ca-P precipitation and elevate pH level. Different from the previously reported conventional struvite method, P recovery was oriented to calcium phosphate. P harvesting behavior was investigated as a function of key factors including initial P concentration and the dosing ratio. A thermodynamic model was constructed to unveil the precipitation transformation mechanism and visualize P recovery for an enhanced controllability. For N harvesting, Ca(OH)2 was dosed to increase the pH of the urine to converts ammonium to ammonia. The resulting ammonia was stripped and then adsorbed by H2SO4 as high-purity ammonium sulfate. Moreover, the sulfate derived from acidification treatment was recovered as calcium sulfate in the interests of material recycling and mitigating secondary contaminations. Results exhibited P recovery efficiency could reach 100 % and purity for calcium phosphate could be above 90 % within a Ca/P ratio range of 1.67-2.0. Further boosting pH to 12, over 85 % of S and 95 % of N was retrieved. The comprehensive scheme provides an efficient approach towards the precise P and N harvesting from hydrolyzed urine and advances the knowledge of precipitation transformation mechanism.

Phosphorus harvesting from fresh human urine: A strategy of precisely recovering high-purity calcium phosphate and insights into the precipitation conversion mechanism

Phosphorus (P) harvesting from source-separated urine to optimize the overall nutrient loop is one of the most appealing benefits and is a global research interest in wastewater management and treatment. However, current P precipitation is mainly oriented to struvite, which is limited by the issues such as relatively low product purity and high cost of Mg source. Distinguished from previous conventional struvite precipitation, the strategy of precisely harvesting P from fresh human urine as high-purity calcium phosphate was first proposed in this study. This enhanced strategy can optimize P harvesting performance and product purity by simply regulating the consumption of calcium-based materials via model simulation and experimental validation. The thermodynamic model was constructed to probe the precipitation conversion mechanism, and visually predict the component and yield for products under various operating conditions. Batch experiments were conducted to investigate P recovery performance as a function of initial Mg²⁺ concentration, initial pH level, as well as degree of urine hydrolysis. Moreover, the alternative dosing scheme with different calcium salts and alkali was presented, diversifying the options for efficient P recovery. The results showed that, from the perspective of acidic storage for fresh urine, P recovery can be boosted along with eliminating urine hydrolysis. In urine with an initial pH=2.0, P can be completely recovered and purity for calcium phosphate can be optimized to 100% within a Ca/P ratio range of 1.67-2.3. Overall, this work is of great significance for precisely and efficiently harvesting P from urine and provides an integrated strategy for P resource recovery from urine.

Separation of closely related monoclonal antibody charge variant impurities using poly(ethylenimine)-grafted cation-exchange chromatography resin

The removal of protein charge variants due to complex chemical and enzymatic modifications like glycosylation, fragmentation and deamidation presents a significant challenge in the purification of monoclonal antibodies (mAb) and complicates downstream processing. These protein modifications occur either in vivo or during fermentation and downstream processing. The presence of charge variants can lead to diminished biological activity, differences in pharmacokinetics, pharmacodynamics, stability and efficacy. Therefore, these different product variants should be appropriately controlled for the consistency of product quality and to ensure patient safety. This investigation focuses on the development of a chromatography step for the removal of the charge variants from a recombinant single-chain variable antibody fragment (scFv-Fc-Ab). Poly(ethyleneimine)-grafted cation-exchange resins (Poly CSX and Poly ABX) were evaluated and compared to traditional macroporous cation-exchange and tentacle cation-exchange resins. Linear salt gradient experiments were conducted to study the separation efficiency of scFv-Fc-Ab variants using different resins. A classical thermodynamic model was used to develop a mechanistic understanding of the differences in charge variant retention behaviour of different resins. High selectivity in separation of scFv-Fc-Ab charge variants is obtained in the Poly CSX resin.

The Role of Hyperthermia in the Treatment of Peritoneal Surface Malignancies

PURPOSE OF REVIEW

Hyperthermia is used to treat peritoneal surface malignancies (PSM), particularly during hyperthermic intraperitoneal chemotherapy (HIPEC). This manuscript provides a focused update of hyperthermia in the treatment of PSM.

RECENT FINDINGS

The heterogeneous response to hyperthermia in PSM can be explained by tumor and treatment conditions. PSM tumors may resist hyperthermia via metabolic and immunologic adaptation. The thermodynamics of HIPEC are complex and require computational fluid dynamics (CFD). The clinical evidence supporting the benefit of hyperthermia is largely observational. Continued research will allow clinicians to characterize and predict the individual response of PSM to hyperthermia. The application of hyperthermia in current HIPEC protocols is mostly empirical. Thus, modeling heat transfer with CFD is a necessary task if we are to achieve consistent and reproducible hyperthermia. Although observational evidence suggests a survival benefit of hyperthermia, no clinical trial has tested the individual role of hyperthermia in PSM.

Zaltoprofen/4,4'-Bipyridine: A Case Study to Demonstrate the Potential of Differential Scanning Calorimetry (DSC) in the Pharmaceutical Field

The Zaltoprofen/4,4'-Bipyridine system gives rise to two co-crystals of different compositions both endowed - in water and in buffer solution at pH 4.5 - with considerably higher solubility and dissolution rate than the pure drug. The qualitative and quantitative analysis of the DSC measurements, carried out on samples made up of mixtures prepared according to different methodologies, allows us to elaborate and propose an accurate thermodynamic model that fully takes into account the qualitative aspects of the complex experimental framework and which provides quantitative predictions (reaction enthalpies and compositions of the co-crystals) in excellent agreement with the experimental results. Co-crystal formation and cocrystal compositions were confirmed by X-ray diffraction measurements as well as by FT-IR and NMR spectroscopy measurements. The quantitative processing of DSC measurements rationalizes and deepens the scientific aspects underlying the so-called Tammann's triangle and constitutes a model of general validity. The work shows that DSC has enormous potential, which however can be fully exploited only by paying adequate attention to the experimental aspects and the quantitative processing of the measurements.

Bio-sorption of toxic metals from industrial wastewater by algae strains Spirulina platensis and Chlorella vulgaris: Application of isotherm, kinetic models and process optimization

The present study evaluates the effect of an acidic treatment on the improvement of the percentage removal of toxic metal (%TM_rem) from wastewater by algae strains (Spirulina platensis (SP) and Chlorella vulgar (CV)) under different adsorbent dosages (0.2-2.5 g), a pH of (4-8) and contact time (5-100 min). The acidic treatment (Ac-T) altered the functional groups on the surface of algae promoting more electronegative groups and improved the %TM_rem of Al, Ni and Cu. Treated SP removed up to 95.0 ± 0.3% (Std. Dev = 0.24), 87.0 ± 0.2% (Std. Dev = 0.34)%, and 63.0 ± 0.3% (Std. Dev = 0.14) of Al, Ni, and Cu at the optimum pH of 5.5, 6.0, and, 7.0 and an adsorbent dosage of = 2.5 ± 0.1 g/L (Std. Dev = 0.14) g/L, respectively. Lower %TM_rem of 87.0% ± 0.2 (Std. Dev = 0.09), 79.1 ± 0.4% (Std. Dev = 0.08), and 80.0 ± 0.2% (Std. Dev = 0.04) were achieved with treated CV, respectively. The optimum operational conditions for maximum %TM_rem were determined at (C_algae = 4.8 ± 0.2 g_MNPs.L^-1, C_t = 88 ± 1, and pH = 6) using the response surface methodology (RSM). The adsorption of TMs on algae is endothermic, spontaneous, and follows Langmuir and second-order kinetics. Zeta potential measurements indicated that the adsorption mechanism between the toxic metal (TM) and algal strains is controlled by electrostatic interaction. As such, bio-sorption is a sustainable and efficient technology for the removal of TM from wastewater.

Comparative study on water-soluble inorganic ions in PM2.5 from two distinct climate regions and air quality

Recently, air quality has significantly improved in developed country, but that issue is of concern in emerging megacity in developing country. In this study, aerosols and their precursor gas were collected by NILU filter pack at two distinct urban sites during the winter and summer in Osaka, Japan and dry and rainy seasons in Ho Chi Minh City (HCMC), Vietnam. The aims are to investigate the contribution of water-soluble inorganic ions (WSIIs) to PM_2.5, thermodynamic characterization and possible formation pathway of secondary inorganic aerosol (SIA). The PM_2.5 concentration in Osaka (15.8 μg/m³) is lower than that in HCMC (23.0 μg/m³), but the concentration of WSIIs in Osaka (9.0 μg/m³) is two times higher than that in HCMC (4.1 μg/m³). Moreover, SIA including NH₄⁺, NO₃^- and SO₄^2- are major components in WSIIs accounting for 90% and 76% (in molar) in Osaka and HCMC, respectively. Thermodynamic models were used to understand the thermodynamic characterization of urban aerosols. Overall, statistical analysis results indicate that very good agreement (R² > 0.8) was found for all species, except for nitrate aerosol in HCMC. We found that when the crustal species present at high amount, those compositions should be included in model calculation (i.e. in the HCMC situation). Finally, we analyzed the characteristics of NH₄⁺- NO₃^-- SO₄^2- system. A possible pathway to produce fine nitrate aerosol in Osaka is via the homogeneous reaction between NH₃ and HNO₃, while non-volatile nitrate aerosols can be formed by the heterogeneous reactions in HCMC.

Complex methodology for rational design of Apremilast-benzoic acid co-crystallization process

A new co-crystal of pharmaceutical active ingredient Apremilast was successfully designed in this work. The discovered co-crystal with benzoic acid significantly improves key properties like the dissolution and stability of an otherwise poorly soluble Apremilast. A crystallization process was developed, which includes efficient solvent selection and ternary phase diagram construction to minimize risks during scale up. To increase efficiency, we propose that both steps be combined into a single methodology based on solubility data. A suitable solvent for the co-crystallization process was selected and ternary phase diagrams were constructed using three different modifications of thermodynamic model of solid-liquid equilibria. Based on the obtained information, the co-crystallization process was scaled-up to 100 mL. This provides a feasible process to produce larger amounts of this promising pharmaceutical solid form of Apremilast necessary for further drug development.

Evaluating riboswitch optimality

Riboswitches are RNA elements that recognize diverse chemical and biomolecular inputs, and transduce this recognition process to genetic, fluorescent, and other engineered outputs using RNA conformational changes. These systems are pervasive in cellular biology and are a promising biotechnology with applications in genetic regulation and biosensing. Here, we derive a simple expression bounding the activation ratio-the proportion of RNA in the active vs. inactive states-for both ON and OFF riboswitches that operate near thermodynamic equilibrium: 1+[I]/K_d^I, where [I] is the input ligand concentration and K_d^I is the intrinsic dissociation constant of the aptamer module toward the input ligand. A survey of published studies of natural and synthetic riboswitches confirms that the vast majority of empirically measured activation ratios have remained well below this thermodynamic limit. A few natural and synthetic riboswitches achieve activation ratios close to the limit, and these molecules highlight important principles for achieving high riboswitch performance. For several applications, including "light-up" fluorescent sensors and chemically-controlled CRISPR/Cas complexes, the thermodynamic limit has not yet been achieved, suggesting that current tools are operating at suboptimal efficiencies. Future riboswitch studies will benefit from comparing observed activation ratios to this simple expression for the optimal activation ratio. We present experimental and computational suggestions for how to make these quantitative comparisons and suggest new molecular mechanisms that may allow non-equilibrium riboswitches to surpass the derived limit.

The locally columnar model for clay/polymer systems: Connections to scattering experiments

A tight connection of scattering to thermodynamic models is missing for clay systems. A new approach called "locally columnar model" gives an attempt for making this connection. The scattering model assumes an up-lining of clay particles with strong paracrystalline order and refers to a chemical potential/distance dependence. The thermodynamic model assumes a bidisperse distance distribution and gives input to the scattering model. Experimentally, polymer/clay systems with many molecular polymer masses were studied showing all very similar scattering curves. While the dominating bulk phase shows only the same weak tendency to stack formation for all molecular polymer masses, one coexisting phase with stronger stack formation was identified. The latter sample was used to determine the thickness of the clay platelets with adsorbed polymer that was then used to model the dominating bulk phase. The comparisons to the theory revealed that (a) most polymers are tightly bound to the clay, and (b) an agreement between the modeling and the theory was achieved. The main result of the experiments is the fraction of free polymers of 1:2400 that are not tightly bound to the clay particles.

Solid-Liquid Equilibrium in the System 2-Keto-L-Gulonic Acid + L-Ascorbic Acid + Water

The solid-liquid equilibrium (SLE) in the ternary system 2-keto-L-gulonic acid (HKGA) + L-ascorbic acid (vitamin C) + water was investigated experimentally at temperatures between 276 K and 308 K at ambient pressure, i.e., under conditions that are of particular interest for industrial applications. Phase diagrams with one eutonic point were obtained for all temperatures. The dissociation constant and the solubility constant of vitamin C were determined as a function of temperature. Based on an extended version of the Debye-Hückel theory, a physicochemical model was developed that describes the SLE in the ternary system. The agreement between experimental data and results from the model is excellent.

A new thermodynamic approach for struvite product quality prediction

Struvite precipitation has drawn much attention in the last decade as a green chemical process for phosphorus removal and recovery. Product purity affects the usefulness, and thus price, of the product when recovered struvite is sold as fertilizer. However, there is currently little research on struvite quality, as well as on models for accurately predicting. This paper presents an alternative approach to the traditional thermodynamic model where the solid with the largest positive saturation index precipitates first, depleting the concentrations of constituent ions before the next solid can precipitate. In the new thermodynamic approach, all solids with a positive saturation index precipitate simultaneously, and deplete the common pool of available ions in tandem. It was validated against experimental data, compared with the traditional thermodynamic models and a previously developed empirical model. The proposed new approach was more accurate than other models, except when both the ammonium nitrogen and magnesium concentrations were very low, a condition not likely to be encountered in industry. Therefore, this model is more suited for predicting the performance of struvite precipitation under varying wastewater conditions.

New insight into sludge reduction induced by different substrate allocation strategy between oxygen and nitrate/nitrite as terminal electron acceptor

Sludge reduction based on regulating substrate allocation between catabolism and anabolism as a strategy is proposed to reduce energy and chemicals consumption during wastewater treatment. The results indicated that a sludge reduction of 14.8% and excellent nutrient removal were simultaneously achieved in the low dissolved oxygen (LDO) activated sludge system with a hydraulic retention time of 24 h at 25 °C. Denitrifiers comprised nearly 1/4 of all microorganisms in the system. These denitrifiers converted NO_x^- to N₂ obtaining a lower biomass yield. The oxidoreductase activity proteins in the LDO sample was more than twice that of the normal DO sample, indicating that catabolism was stimulated by NO_x^- when replacing O₂ as electron acceptor. Less substrate was used for cell synthesis in the LDO system. Stable sludge reduction without extra energy and chemicals inputs was achieved by regulating the substrate allocation by inducing the bacteria to utilize NO_x^- instead of O₂.

Multi-analytical methodology to diagnose the environmental impact suffered by building materials in coastal areas

This work is focused on the development of an innovative multi-analytical methodology to estimate the impact suffered by building materials in coastal environments. With the aim of improving the in situ spectroscopic assessment, which is often based on XRF and Raman spectrometers, diffuse reflectance infrared Fourier transform (DRIFT) spectroscopy was implemented in the diagnosis study. In this way, the additional benefits from DRIFT were compared to the usual in situ analyses of building materials, which often have interferences from fluorescence and reststrahlen effects. The studies were extended to the laboratory scale by μ-X-ray fluorescence (μ-XRF) cross-section mapping and ion chromatography (IC), and the IC quantitative data were employed to develop thermodynamic models using the ECOS-RUNSALT program, with the aim of rationalizing the behavior of soluble salts with variations in the temperature and the relative humidity (RH). The multi-analytical methodology allowed identification of the most significant weathering agents and classification of the severity of degradation according to the salt content. The suitability of a DRIFT portable device to analyze these types of matrices was verified. Although the Kramers-Kronig algorithm correction proved to be inadequate to decrease the expected spectral distortions, the assignment was successfully performed based on the secondary bands and intensification of the overtones and decreased the time needed for in situ data collection. In addition, the pollutants' distribution in the samples and the possible presence of dangerous compounds, which were not detected during the in situ analysis campaigns, provided valuable information to clarify weathering phenomena.

Prediction of pH and aw of pork meat by a thermodynamic model: New developments

To ensure continuous innovations, food industries need tools which enable to predict physical-properties of food during a change of process or recipe. In this work, a thermodynamic model is suggested to predict pH and water activity of pork meat in presence of different additives such as salts or organic acids used in food industry. The predictions of pH and aw are satisfactory in a wide prediction domain, with a good accuracy. In add, a neural network mimetic of thermodynamic model is developed in order to facilitate the use of thermodynamic model and reduce calculation time.

Influence of alkane and perfluorocarbon vapors on adsorbed surface layers and spread insoluble monolayers of surfactants, proteins and lipids

The influence of hexane vapor in the air atmosphere on the surface tension of water and solutions of C₁₀EO₈, C_nTAB and proteins are presented. For dry air, a fast and strong decrease of surface tension of water was observed. In humid air, the process is slower and the surface tension higher. There are differences between the results obtained by the maximum bubble pressure, pendant drop and emerging bubble methods, which are discussed in terms of depletion and initial surface load. The surface tension of aqueous solutions of β-сasein (BCS), β-lactoglobulin (BLG) and human serum albumin (HSA) at the interfaces with air and air-saturated hexane vapor were measured. The results indicate that the equilibrium surface tension in the hexane vapor atmosphere is considerably lower (at 13-20mN/m) as compared to the values at the interface with pure air. A reorientation model is proposed assuming several states of adsorbed molecules with different molar area values. The newly developed theoretical model is used to describe the effect of alkane vapor in the gas phase on the surface tension. This model assumes that the first layer is composed of surfactant (or protein) molecules mixed with alkane, and the second layer is formed by alkane molecules only. The processing of the experimental data for the equilibrium surface tension for the C₁₀EO₈ and BCS solutions results in a perfect agreement between the observed and calculated values. The co-adsorption mechanism of dipalmitoyl phosphatidyl choline (DPPC) and the fluorocarbon molecules leads to remarkable differences in the surface pressure term of cohesion Π_coh. This in turn leads to a very efficient fluidization of the monolayer. It was found that the adsorption equilibrium constant for dioctanoyl phosphatidyl choline is increased in the presence of perfluorohexane, and the intermolecular interaction of the components is strong.

Insight into HOTAIR structural features and functions as landing pads for transcription regulation proteins

LncRNAs fulfill a wide range of regulatory functions at almost every process of gene expression. While derived from secondary structural features, lncRNAs may function as landing pads for transcription factors (TFs). In this paper, we detected the global structural landscape of 20,338 lncRNAs by utilizing a free energy minimization (MFE) algorithm, and identified the interactions between lncRNAs and TFs to analyze molecular association induced by the lncRNA structure. The accessibility analysis of full sequences as well as potential TF-binding fragments shows a large percentage of structural flanking sequence around the TF binding sites. This investigations paid great attention to the high-order architecture of HOTAIR lncRNA, and identified two coincident modular domains covering fragments 171-410bp and 811-1520bp via RNA-TF association predicting and in-silico computation mining. Then, the structural domains were implied potential landing pads to recruit regulatory proteins (13 TFs) and mediated coordinate regulation of transcription. Pathways and diseases enrichment analysis illustrated that the interacted TFs are significantly Pan-cancer relevant which is consistent with the known function of HOTAIR. Overall, the in-depth understanding of HOTAIR structure provides the first glimpse of coordinate regulation driven by modular features. The detailed architectural context could yield broad biological insights and provides a framework for comprehending lncRNA structure-function interrelationships.

Experimental study and thermodynamic modeling for determining the effect of non-polar solvent (hexane)/polar solvent (methanol) ratio and moisture content on the lipid extraction efficiency from Chlorella vulgaris

In this research, organic solvent composed of hexane and methanol was used for lipid extraction from dry and wet biomass of Chlorella vulgaris. The results indicated that lipid and fatty acid extraction yield was decreased by increasing the moisture content of biomass. However, the maximum extraction efficiency was attained by applying equivolume mixture of hexane and methanol for both dry and wet biomass. Thermodynamic modeling was employed to estimate the effect of hexane/methanol ratio and moisture content on fatty acid extraction yield. Hansen solubility parameter was used in adjusting the interaction parameters of the model, which led to decrease the number of tuning parameters from 6 to 2. The results indicated that the model can accurately estimate the fatty acid recovery with average absolute deviation percentage (AAD%) of 13.90% and 15.00% for the two cases of using 6 and 2 adjustable parameters, respectively.

Thermodynamically-robust Pitzer equations for volumetric properties of electrolyte solutions

Pitzer equations are widely employed to correlate and predict the volumetric properties of aqueous electrolyte solutions over broad ranges of pressure and temperature. However, the currently-used pressure and temperature terms are empirical and tend to violate known thermodynamic behaviour. Three functional constraints have been identified that overcome this problem.

The precipitation of magnesium potassium phosphate hexahydrate for P and K recovery from synthetic urine

Nutrients recovery from urine to close the nutrient loop is one of the most attractive benefits of source separation in wastewater management. The current study presents an investigation of the thermodynamic modeling of the recovery of P and K from synthetic urine via the precipitation of magnesium potassium phosphate hexahydrate (MPP). Experimental results show that maximum recovery efficiencies of P and K reached 99% and 33%, respectively, when the precipitation process was initiated only through adding dissolvable Mg compound source. pH level and molar ratio of Mg:P were key factors determining the nutrient recovery efficiencies. Precipitation equilibrium of MPP and magnesium sodium phosphate heptahydrate (MSP) was confirmed via precipitates analysis using a Scanning Electron Microscope/Energy Dispersive Spectrometer and an X-ray Diffractometer. Then, the standard solubility products of MPP and MSP in the synthetic urine were estimated to be 10(-12.2 ± 0.0.253) and 10(-11.6 ± 0.253), respectively. The thermodynamic model formulated on chemical software PHREEQC could well fit the experimental results via comparing the simulated and measured concentrations of K and P in equilibrium. Precipitation potentials of three struvite-type compounds were calculated through thermodynamic modeling. Magnesium ammonium phosphate hexahydrate (MAP) has a much higher tendency to precipitate than MPP and MSP in normal urine while MSP was the main inhibitor of MPP in ammonium-removed urine. To optimize the K recovery, ammonium should be removed prior as much as possible and an alternative alkaline compound should be explored for pH adjustment rather than NaOH.

Influence of humidity on the phase behavior of API/polymer formulations

Amorphous formulations of APIs in polymers tend to absorb water from the atmosphere. This absorption of water can induce API recrystallization, leading to reduced long-term stability during storage. In this work, the phase behavior of different formulations was investigated as a function of relative humidity. Indomethacin and naproxen were chosen as model APIs and poly(vinyl pyrrolidone) (PVP) and poly(vinyl pyrrolidone-co-vinyl acetate) (PVPVA64) as excipients. The formulations were prepared by spray drying. The water sorption in pure polymers and in formulations was measured at 25°C and at different values of relative humidity (RH=25%, 50% and 75%). Most water was absorbed in PVP-containing systems, and water sorption was decreasing with increasing API content. These trends could also be predicted in good agreement with the experimental data using the thermodynamic model PC-SAFT. Furthermore, the effect of absorbed water on API solubility in the polymer and on the glass-transition temperature of the formulations was predicted with PC-SAFT and the Gordon-Taylor equation, respectively. The absorbed water was found to significantly decrease the API solubility in the polymer as well as the glass-transition temperature of the formulation. Based on a quantitative modeling of the API/polymer phase diagrams as a function of relative humidity, appropriate API/polymer compositions can now be selected to ensure long-term stable amorphous formulations at given storage conditions.