Photochemical Transformation of Ibuprofen and Chlorophene Induced by Dissolved Organic Matter.

Both ibuprofen (IBP) and chlorophene (CP) are frequently detected contaminants in surface aqueous environment. Dissolved organic matter (DOM) is an important component in water with high photo-reactivity, playing an important role in the transformation processes of various organic pollutants. This study systematically studied the influence of DOM on the photochemical transformation of IBP and CP by using humic acid as model DOM. In addition, the effect of inorganic salts on this process is also considered due to the high salt content in the ocean. Further quenching experiments and reactive oxygen species (ROSs) detection were also conducted to explore the reactive species acting on the IBP and CP transformation. Based on the products analysis and theoretical calculation, we proposed the IBP and CP transformation mechanism. Overall, this study provides some new insights into the transformation of organic pollutants in natural surface water, which is significant for assessing the fate of pollutants.

Determination of Ibuprofen Enantiomers in Mouse Blood Using Liquid Chromatography-Tandem Mass Spectrometry and Its Application to a Pharmacokinetic Study.

The aim of this study was to establish a simple, fast, and sensitive method with liquid chromatography-tandem mass spectrometry (LC-MS/MS) for simultaneously determining ibuprofen enantiomers using mouse blood in very small volumes. LC-MS/MS equipped with an electrospray ionization (ESI) source was used in negative ion mode and multiple-reaction monitoring mode. Enantiomer chromatographic separation was carried out on a Lux® 5 µm Cellulose-3 (250 × 4.6 mm, 5 µm) column at a flow rate of 0.6 mL/min. Samples were pretreated by extracting only 5 µL of blood with 40 µL of acetonitrile (containing 1.3% formic acid) so that a concentration-time profile could be completed using a single mouse. 2-(4-Propylphenyl) propanoic acid was used as an internal standard. Standard curves for each enantiomer were linear from 0.04 to 80.00 µg/mL, demonstrating a lower limit of quantitation (LLOQ) than all previously reported methods. This method was completely validated and successfully executed to investigate the pharmacokinetics of ibuprofen enantiomers after intravenous administration of racemic ibuprofen, (S)-(+)-ibuprofen, and (R)-(-)-ibuprofen in Kunming mice, respectively. The results showed that the pharmacokinetic profiles of the (R)-(-)-ibuprofen and (S)-(+)-ibuprofen were significantly different, indicating the unidirectional inversion of R-(-)-ibuprofen to (S)-(+)-ibuprofen.

Material-Sparing Approach to Predict Tablet Capping Under Processing Compression Conditions Based on Mechanical and Molecular Properties Derived from Compaction Simulation and Crystal Structural Analysis.

Present study evaluates the usability of compaction simulation-based mechanical models as a material-sparing approach to predict tablet capping under processing compression conditions using Acetaminophen (APAP) and Ibuprofen (IBU). Measured mechanical properties were evaluated using principal component analysis (PCA) and principal component regression (PCR) models. PCR models were then utilized to predict the capping score (CS) from compression pressure (CP). APAP formulations displayed a quadratic correlation between CS and CP, with CS rank order following CP of 200MPa < 300MPa < 100MPa, indicating threshold compression pressure (TCP) limit between 200 and 300 MPa, resulting in higher CS at 300 than 200 MPa regardless of increased CP. IBU formulations displayed a linear correlation between CS and CP, with CS rank order following CP of 100MPa < 200MPa < 300MPa, indicating TCP limit between 100 and 200 MPa, resulting in higher CS at 200 and 300 than 100 MPa regardless of increased CP. Molecular models were developed as validation methods to predict capping from CP. Measured XRPD patterns of compressed tablets were linked with calculated Eatt and d-spacing of slip planes and analyzed using variable component least square methods to predict TCP triggering cleavage in slip planes and leading to capping. In APAP and IBU, TCP values were predicted at 245 and 175 MPa, meaning capped tablets above these TCP limits regardless of increased CP. A similar trend was observed in CS predictions from mechanical assessment, confirming that compaction simulation-based mechanical models can predict capping risk under desired compression conditions rapidly and accurately.

Binaphthyl-based chiral covalent organic frameworks for chiral drug separation.

Separation of racemic drugs is of great importance and interest in chemistry and pharmacology. Here, we report the bottom-up synthesis of the binaphthyl-based chiral covalent organic frameworks (CCOFs), (R)-BHTP-COF. Then, high-performance liquid chromatography (HPLC) columns were prepared using (R)-BHTP-COF as a chiral stationary phase (CSP). Racemic ibuprofen was successfully baseline-separated on (R)-BHTP-COF-based CSP, and achieved excellent selectivity (α = 2.32) and chromatographic resolution (Rs = 3.39) factors. Meanwhile, the separation of six racemic drugs by the (R)-BHTP-COF-packed column exhibited high resolution, selectivity, and durability. The successful applications indicate the great potential of CCOFs as a novel stationary phase for efficient HPLC separation.

Identification of a Novel Ibuprofen Biotransformation Pathway in Streptomyces sp. D218 and Detoxification as Indicated by the Green Algae Scenedesmus obliquus.

Ibuprofen, a widely used nonsteroidal anti-inflammatory drug, contaminates agricultural products and potentially threatens human health due to its frequent detection and poor biodegradability. Microbial metabolism dominates the elimination of residual ibuprofen in the environment. In mineral salt medium at pH 6 with 5 mM glucose, Streptomyces sp. D218 transformed ibuprofen concentrations ranging from 0.05 to 0.40 mM in 24 h. The optimal temperature, pH, and initial OD600 nm for ibuprofen transformation by strain D218 were 25-37 °C, 5.0-6.0, and 1.0-1.5, respectively. Strain D218 could simultaneously transform ibuprofen into the intermediates 2-hydroxyibuprofen and ibuprofen amide (IBUA). The two intermediates were further metabolized to 2-hydroxyibuprofen amide (2HIBUA), thus relieving the growth inhibition of ibuprofen in Scenedesmus obliquus. This is the first complete pathway reported for the detoxification of ibuprofen transformation by a Gram-positive strain. These findings further our understanding of the microbial catabolism of the IBU.

Formulation, optimization and evaluation of ibuprofen loaded menthosomes for transdermal delivery.

The study aimed to improve the transdermal permeation of IBU utilizing menthosomes as a vesicular carrier. IBU-loaded menthosomes were formulated by thin film hydration & optimized using 23 factorial designs (Design Expert® version 13 software). In vitro & ex vivo skin permeation analysis of IBU-encapsulated menthosomes was studied across the rat skin sample. In vivo pharmacodynamic activity was studied in an arthritis rat model. The optimized IBU-loaded menthosomes exhibited an optimum vesicle size of 214.2 ± 2.96 nm, Zeta potential of -21.1 ± 2.72 mV, (PDI) Polydispersity Index of 0.267 ± 0.018 with Entrapment efficiency (EE%) of 78.7 ± 2.73 %. The in vitro & ex vivo skin penetration study displayed enhanced release of drug of 77.02 ± 1.0 % and 40.91 ± 0.81 % respectively, compared to conventional liposomes. In vivo pharmacodynamic study on carrageenan-induced paw edema in Wistar albino rats demonstrated superior anti-inflammatory activity of the optimized IBU-encapsulated menthosomes (**p < 0.01) and effective inhibition of paw edema (34.04 ± 0.155 %). The formalin test indicated a significant analgesic effect of optimized formulation during the chronic phase of analgesia (*p < 0.05) compared to the control group. Thus, the developed and optimized drug-loaded menthosomes could serve as a suitable vesicular delivery carrier in enhancing the transdermal delivery of other NSAID drugs.

Optimization of a Twin screw melt granulation process for fixed dose combination immediate release Tablets: Differential amorphization of one drug and crystalline continuance in the other.

Interest in Twin Screw Melt Granulation (TSMG) processes is rapidly increasing, along with the search for suitable excipients. This study aims to optimize the TSMG process for immediate-release tablets containing two different drugs. The hypothesis is that one poorly water-soluble drug requires amorphous conversion for improved dissolution, while the other water-soluble drug, with a higher melting point (Tm), remains more stable in its crystalline form. Ibuprofen (IBU) and Acetaminophen (APAP) were chosen as the model drug combination to test this hypothesis. Various diluents, binders, and disintegrating agents were assessed for their impact on processability, crystallinity, disintegration, and dissolution during development. The temperatures used during processing were below the Tm of all components, except for IBU. Melted IBU acted as a granulating aid in addition to the binders in the formulation, facilitating granule formation. Physicochemical analyses by Differential Scanning Calorimetry (DSC) and X-ray Diffraction (XRD) confirmed the complete conversion of IBU into an amorphous state and the preserved crystalline nature of APAP. Saturation solubility studies showed an improvement in IBU's solubility by âˆ¼ 32-fold in 0.1 N HCl. Poor tablet disintegration performance led to the addition of disintegrating agents, where osmotic agents (sorbitol and NaCl) were found to significantly enhance disintegration compared to super disintegrants. The optimized formulation showed an enhanced IBU release (∼20 %) compared to the physical mixture (∼12.5) in 0.1 N HCl dissolution studies.

Harnessing machine learning for efficient large-scale interatomic potential for sildenafil and pharmaceuticals containing H, C, N, O, and S.

In this study a cutting-edge approach to producing accurate and computationally efficient interatomic potentials using machine learning algorithms is presented. Specifically, the study focuses on the application of Allegro, a novel machine learning algorithm, running on high-performance GPUs for training potentials. The choice of training parameters plays a pivotal role in the quality of the potential functions. To enable this methodology, the "Solvated Protein Fragments" dataset, containing nearly 2.7 million Density Functional Theory (DFT) calculations for many-body intermolecular interactions involving protein fragments and water molecules, encompassing H, C, N, O, and S elements, is considered as the training dataset. The project optimizes computational efficiency by reducing the initial dataset size according to the intended application. To assess the efficacy of the approach, the sildenafil citrate, iso-sildenafil, aspirin, ibuprofen, mebendazole and urea, representing all five relevant elements, serve as the test bed. The results of the Allegro-trained potentials demonstrate outstanding performance, benefiting from the combination of an appropriate training dataset and parameter selection. This notably enhanced computational efficiency when compared to the computationally intensive DFT method aided by GPU acceleration. Validation of the produced interatomic potentials is achieved through Allegro's own evaluation mechanism, yielding exceptional accuracy. Further verification is carried out through LAMMPS molecular dynamics simulations. Structural optimization by energy minimization and NPT Molecular Dynamics simulations are performed for each potential, assessing relaxation processes and energy reduction. Additional structures, including urea, ammonia, uracil, oxalic acid, and acetic acid, are tested, highlighting the potential's versatility in describing systems containing the aforementioned elements. Visualization of the results confirms the scientific accuracy of each structure's relaxation. The findings of this study demonstrate strong scaling and the potential for applications in pharmaceutical research, allowing the exploration of larger molecular structures not previously amenable to computational analysis at this level of accuracy The success of the machine learning approach underscores its potential to revolutionize computational solid-state physics.

Selective O2-to-H2O2 Electrosynthesis by a High-Performance, Single-Pass Electrofiltration System Using Ibuprofen-Laden CNT Membranes.

Producing H2O2 through a selective, two-electron (2e) oxygen reduction reaction (ORR) is challenging, especially when it serves as an advanced oxidation process (AOP) for cost-effective water decontamination. Herein, we attain a 2e-selectivity H2O2 production using a carbon nanotube electrified membrane with ibuprofen (IBU) molecules laden (IBU@CNT-EM) in an ultrafast, single-pass electrofiltration process. The IBU@CNT-EM can generate H2O2 at a rate of 25.62 mol gCNT-1 h-1 L-1 in the permeate with a residence time of 1.81 s. We demonstrated that an interwoven, hydrophilic-hydrophobic membrane nanostructure offers an excellent air-to-water transport platform for ORR acceleration. The electron transfer number of the ORR for IBU@CNT at neutral pH was confirmed as 2.71, elucidating a near-2e selectivity to H2O2. Density functional theory (DFT) studies validated an exceptional charge distribution of the IBU@CNT for the O2 adsorption. The adsorption energies of the O2 and *OOH intermediates are proportional to the H2O2 selectivity (64.39%), higher than that of the CNT (37.81%). With the simple and durable production of H2O2 by IBU@CNT-EM electrofiltration, the permeate can actuate Fenton oxidation to efficiently decompose emerging pollutants and inactivate bacteria. Our study introduces a new paradigm for developing high-performance H2O2-production membranes for water treatment by reusing environmental functional materials.

Dexibuprofen enteric film-coated tablets: design, characterization and pharmacokinetic analysis in human volunteers.

OBJECTIVE: This study aimed to develop a stable and scalable enteric film-coated tablet for the gastric irritant dexibuprofen. METHODS: Utilizing direct compression with super-disintegration (crospovidone), the optimal core batches were coated with Opadry white seal coat and enterically coated with Eudragit®L100 with pigment (Talc), demonstrating a 12% weight increase; release and integrity were assessed using specific pH buffers and SEM, with stability testing confirming a six-month shelf life at 40 °C and 75% RH. RESULTS: The optimized formulation achieved 99.87% release in phosphate buffer within 60 min, maintained integrity for 120 min in acidic conditions, and exhibited superior bioavailability compared to Innovifen with relative bioavailability ≈of 121% and elevated Cmax (18.35 µg/ml compared to 11.1 µg/ml). CONCLUSION: These results highlight the potential of this formulation to enhance patient safety and efficacy through delayed enteric technology and fast intestinal release.

The effect of process parameters on a continuous blending process monitored in-line by near-infrared spectroscopy.

The continuous feeding-mixing system ensures the composition uniformity down to the tableting continuous manufacturing line so that a quality end-product is consistently delivered. Near-infrared spectroscopy (NIRS) enables in-line assessment of the blend's critical quality attributes in real-time. In this study, the effect of total feed rate and impeller speed on the continuous blending process monitored in-line by NIRS was examined by principal component analysis (PCA), ANOVA simultaneous component analysis (ASCA) and partial least squares (PLS) regression. Process data were generated by a factorial experimental design with process parameters and a constant formulation comprised of: 30 % (wt/wt) ibuprofen, 67.5 % (wt/wt) microcrystalline cellulose, 2 % (wt/wt) of sodium starch glycolate and 0.5 % (wt/wt) of magnesium stearate. The PCA hinted at the prevalence of impeller speed effect on ibuprofen concentration due to path length variation of the NIR light caused by the fluidized behaviour in the powder blend as a result of high speed ranges (>300 rpm). The ASCA model indicated that while both impeller speed and total feed rate effects were statistically significant (p-value=0.004), the impeller speed was the factor that contributed the most to the spectral variance (55.5 %). The PLS regression model for the ibuprofen content resulted in a RMSECV of 1.3 % (wt/wt) and showed that impeller speed was yet again the factor that exerted the major influence on spectral variance, owing to its wavelength-dependent effect that prevents common pre-processing techniques from eliminating it across the entire NIR range. The best sample presentation to the NIR probe was achieved at low impeller speed ranges (<600 rpm) and low total feed rates (<15 kg/h), such that it enhanced the PLS model ability to predict the ibuprofen concentration in the blend.

An interaction-based mixing model for predicting porosity and tensile strength of directly compressed ternary blends of pharmaceutical powders.

Predicting the mechanical properties of powder mixtures without extensive experimentation is important for model driven design in solid dosage form manufacture. Here, a new binary interaction-based model is proposed for predicting the compressibility and compactability of directly compressed pharmaceutical powder mixtures based on the mixture composition. The model is validated using blends of MCC, lactose and paracetamol or ibuprofen. Both compressibility and compactability profiles are predicted well for a variety of blend compositions of ternary mixtures for the two formulations. The model performs well over a wide range of compositions for both blends and better than either an ideal mixing model or a ternary interaction model. A design of experiments which reduces the amount of API required for fitting the model parameters for a new formulation is proposed to reduce amount of API required. The design requires only three blends containing API. The model gives similar performance to the well-known Reynolds et al. model (2017) when trained using the same data sets. The binary interaction model approach is generalizable to other powder mixture properties. The model presented in this work is limited to curve-fitting of empirical compaction models for mixtures of common pharmaceutical powders and is not intended to provide guidance on the practical operating space (or design space) limits.

pH-responsive IPN beads of carboxymethyl konjac glucomannan and sodium carboxymethyl cellulose as a controlled release carrier for ibuprofen.

The convergence of polymer and pharmaceutical sciences has advanced drug delivery systems significantly. Carbohydrate polymers, especially carboxymethylated ones, offer versatile benefits for pharmaceuticals. Interpenetrating polymer networks (IPNs) combine synthetic and natural polymers to enhance drug delivery. The study aims to develop IPN beads using sodium carboxymethyl cellulose (SCMC) and carboxymethyl konjac glucomannan (CMKGM) for controlled release of ibuprofen (IB) after oral administration. Objectives include formulation optimization, characterization of physicochemical properties, evaluation of pH-dependent swelling and drug release behaviors to advance biocompatible and efficient oral drug delivery systems. The beads were analyzed using SEM, FTIR, DSC, and XRD techniques. Different ratio of polymers (CMKGM:SCMS) and crosslinker concentrations (2&4 %w/v) were used, significantly impacting bead size, swelling, drug encapsulation, and release characteristics. DSC results indicated higher thermal stability in IPN beads compared to native polymers. XRD revealed IB dispersion within the polymer matrix. IPN beads size ranged from 580 ± 0.56 to 324 ± 0.27 µm, with a nearly spherical shape. IPN beads exhibited continuous release in alkaline conditions (pH 7.4) and minimal release in acidic media (pH 1.2). These findings suggest that the formulated IPN beads can modulate drug release in both acidic and alkaline environments, potentially mitigating the gastric adverse effects often associated with oral administration of IB.

6-Carboxycellulose Acetate Butyrate: Effectiveness as an Amorphous Solid Dispersion Polymer.

Amorphous solid dispersion (ASD) in a polymer matrix is a powerful method for enhancing the solubility and bioavailability of otherwise crystalline, poorly water-soluble drugs. 6-Carboxycellulose acetate butyrate (CCAB) is a relatively new commercial cellulose derivative that was introduced for use in waterborne coating applications. As CCAB is an amphiphilic, carboxyl-containing, high glass transition temperature (Tg) polymer, characteristics essential to excellent ASD polymer performance, we chose to explore its ASD potential. Structurally diverse drugs quercetin, ibuprofen, ritonavir, loratadine, and clarithromycin were dispersed in CCAB matrices. We evaluated the ability of CCAB to create ASDs with these drugs and its ability to provide solubility enhancement and effective drug release. CCAB/drug dispersions prepared by spray drying were amorphous up to 25 wt % drug, with loratadine remaining amorphous up to 50% drug. CCAB formulations with 10% drug proved effective at providing in vitro solubility enhancement for the crystalline flavonoid drug quercetin as well as ritonavir, but not for the more soluble APIs ibuprofen and clarithromycin and the more hydrophobic loratadine. CCAB did provide slow and controlled release of ibuprofen, offering a simple and promising Long-duration ibuprofen formulation. Formulation with clarithromycin showed the ability of the polymer to protect against degradation of the drug at stomach pH. Furthermore, CCAB ASDs with both loratadine and ibuprofen could be improved by the addition of the water-soluble polymer poly(vinylpyrrolidone) (PVP), with which CCAB shows good miscibility. CCAB provided solubility enhancement in some cases, and the slower drug release exhibited by CCAB, especially in the stomach, could be especially beneficial, for example, in formulations containing known stomach irritants like ibuprofen.

Amorphous stabilization of BCS II drugs using mesoporous silica.

This study aimed to investigate the amorphous stabilization of BCS Class II drugs using mesoporous silica as a carrier to produce amorphous solid dispersions. Ibuprofen, fenofibrate, and budesonide were selected as model drugs to evaluate the impact of molecular weight and partition coefficient on the solid state of drug-loaded mesoporous silica (MS) particles. The model drugs were loaded into three grades of MS, SYLYSIA SY730, SYLYSIA SY430, and SYLYSIA SY350, with pore diameters of 2.5 nm, 17 nm, and 21 nm, respectively, at 1:1, 2:1, and 3:1, carrier to drug ratios, and three different loading concentrations using solvent immersion and spray drying techniques. Differential scanning calorimetry (DSC) thermograms of SY430 and SY350 samples exhibited melting point depressions indicating constricted crystallization inside the pores, whereas SY730 samples with melting points matching the pure API may be a result of surface crystallization. Powder x-ray diffraction (PXRD) diffractograms showed all crystalline samples matched the diffraction patterns of the pure API indicating no polymorphic transitions and all 3:1 ratio samples exhibited amorphous halo profiles. Response surface regression analysis and Classification and Regression Tree (CART) analysis suggest carrier to drug ratios, followed by molecular weight, have the most significant impact on the crystallinity of a drug loaded into MS particles.

Dimolybdenum (II,II) paddlewheel complexes bearing non-steroidal anti-inflammatory drug ligands: Insights into the chemico-physical profile and first biological assessment.

Multinuclear complexes are metal compounds featured by adjacent bound metal centers that can lead to unconventional reactivity. Some M2L4-type paddlewheel dinuclear complexes with monoanionic bridging ligands feature promising properties, including therapeutic ones. Molybdenum has been studied for the formation of multiple-bonded M2+ compounds due to their unique scaffold, redox, and spectroscopic properties as well as for applications in several fields including catalysis and biology. These latter are much less explored and only sporadic studies have been carried out. Here, a series of four dimolybdenum (II,II) carboxylate paddlewheel complexes were synthesized using different Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) as ligands. The reaction of (NH4)5[Mo2Cl9]·H2O with the selected NSAIDs in methanol produced the complexes Mo2(µ-O2CR)4 where RCO2 is ibuprofen (1), naproxen (2), aspirin (3) and indomethacin (4). The products were obtained in good yields and extensively characterized with integrated techniques. Stability and solution behaviour were studied using a mixed experimental and computational approach. Finally, the biological activity of 1 and 3 (i.e. the most reactive and the most stable compounds of the series, respectively) was preliminarily assessed confirming the disassembling of the molecules in the biological milieu. Overall, some very interesting results emerged for these unconventional compounds from a mechanistic point of view.

Synthesis, Optimization and Molecular Self-Assembly Behavior of Alginate-g-Oleylamine Derivatives Based on Ugi Reaction for Hydrophobic Drug Delivery.

To achieve the optimal alginate-based oral formulation for delivery of hydrophobic drugs, on the basis of previous research, we further optimized the synthesis process parameters of alginate-g-oleylamine derivatives (Ugi-FOlT) and explored the effects of different degrees of substitution (DSs) on the molecular self-assembly properties of Ugi-FOlT, as well as the in vitro cytotoxicity and drug release behavior of Ugi-FOlT. The resultant Ugi-FOlT exhibited good amphiphilic properties with the critical micelle concentration (CMC) ranging from 0.043 mg/mL to 0.091 mg/mL, which decreased with the increase in the DS of Ugi-FOlT. Furthermore, Ugi-FOlT was able to self-assemble into spherical micellar aggregates in aqueous solution, whose sizes and zeta potentials with various DSs measured by dynamic light scattering (DLS) were in the range of 653 ± 25~710 ± 40 nm and -58.2 ± 1.92~-48.9 ± 2.86 mV, respectively. In addition, RAW 264.7 macrophages were used for MTT assay to evaluate the in vitro cytotoxicity of Ugi-FOlT in the range of 100~500 µg/mL, and the results indicated good cytocompatibility for Ugi-FOlT. Ugi-FOlT micellar aggregates with favorable stability also showed a certain sustained and pH-responsive release behavior for the hydrophobic drug ibuprofen (IBU). Meanwhile, it is feasible to control the drug release rate by regulating the DS of Ugi-FOlT. The influence of different DSs on the properties of Ugi-FOlT is helpful to fully understand the relationship between the micromolecular structure of Ugi-FOlT and its macroscopic properties.

Postsynthetically Modified Cationic, Robust MOF Featuring Selective Separation of Carboxylate-Containing Pharmaceutical Drugs from Water at Neutral pH: Elucidation of the Adsorption Mechanism by Theory and Experiments.

The escalating levels of hazardous pharmaceutical contaminants, specifically nonsteroidal anti-inflammatory drugs (NSAIDs), in groundwater reservoir surfaces and surface waterway systems have prompted substantial scientific interest regarding their potential deleterious effects on both aquatic ecosystems and human health. Extraction of those pollutants from wastewater is quite challenging. Hence, the development of economic, sustainable, and scalable techniques for capturing and removing those pollutants is crucial to ensure water safety. Herein, we demonstrate a physicochemically stable, reusable, porous Hf(IV)-based cationic metal-organic framework (MOF), namely, 1'@MeCl for the aqueous phase adsorption-based removal of NSAIDs (diclofenac, naproxen, ibuprofen) from the wastewater environment. The highly positively charged surface of the 1'@MeCl MOF enables it to selectively extract more than 99% of diclofenac, naproxen, and ibuprofen contaminants within less than 30 s. With fast adsorption kinetics, very high adsorption capacities (Qe) were achieved at neutral pH for diclofenac (482.9 mg/g), naproxen (295.9 mg/g), and ibuprofen (219.5 mg/g). Moreover, the influence of changes in pH and coexisting anions on the adsorption property of the 1'@MeCl MOF was studied. Furthermore, the adsorption efficiency of 1'@MeCl in different real water environments was ensured by performing diclofenac, naproxen, and ibuprofen adsorption from tap, river, and lake water. Moreover, a 1'@MeCl-anchored cellulose acetate-chitosan membrane was developed successfully to demonstrate the membrane-based extraction of diclofenac, naproxen, and ibuprofen from contaminated water. Furthermore, a molecular-level mechanistic study was performed through experimental and computational study to propose the plausible adsorption mechanisms for diclofenac, naproxen, and ibuprofen over the surface of 1'@MeCl.

How Does the Powder Mixture of Ibuprofen and Caffeine Attenuate the Solubility of Ibuprofen? Comparative Study for the Xanthine Derivatives to Recognize Their Intermolecular Interactions Using Fourier-Transform Infrared (FTIR) Spectra, Differential Scanning Calorimetry (DSC), and X-ray Powder Diffractometry (XRPD).

Molecular interactions between active pharmaceutical ingredients (APIs) and xanthine (XAT) derivatives were analyzed using singular value decomposition (SVD). XAT derivatives were mixed with equimolar amounts of ibuprofen (IBP) and diclofenac (DCF), and their dissolution behaviors were measured using high-performance liquid chromatography. The solubility of IBP decreased in mixtures with caffeine (CFN) and theophylline (TPH), whereas that of DCF increased in mixtures with CFN and TPH. No significant differences were observed between the mixtures of theobromine (TBR) or XAT with IBP and DCF. Mixtures with various molar ratios were analyzed using differential scanning calorimetry, X-ray powder diffraction, and Fourier-transform infrared spectroscopy to further explore these interactions. The results were subjected to SVD. This analysis provides valuable insights into the differences in interaction strength and predicted interaction sites between XAT derivatives and APIs based on the combinations that form mixtures. The results also showed the impact of the XAT derivatives on the dissolution behavior of IBP and DCF. Although IBP and DCF were found to form intermolecular interactions with CFN and TPH, these effects resulted in a reduction of the solubility of IBP and an increase in the solubility of DCF. The current approach has the potential to predict various interactions that may occur in different combinations, thereby contributing to a better understanding of the impact of health supplements on pharmaceuticals.

Development of 3D-printed dual-release fixed-dose combination through double-melt extrusion.

This study aimed to develop a 3D-printed fixed-dose combination tablet featuring differential release of two drugs using double-melt extrusion (DME). The hot-melt extrusion (HME) process was divided into two steps to manufacture a single filament containing the two drugs. In Step I, a sustained-release matrix of acetaminophen (AAP) was obtained through HME at 190 °C using Eudragit® S100, a pH-dependent polymer with a high glass transition temperature. In Step II, a filament containing both sustained-release AAP from Step I and solubilized ibuprofen (IBF) was fabricated via HME at 110 °C using a mixture of hydroxy propyl cellulose (HPC-LF) and Eudragit® EPO, whose glass transition temperatures make them suitable for use in a 3D printer. A filament manufactured using DME was used to produce a cylindrical 3D-printed fixed-dose combination tablet with a diameter and height of 9 mm. To evaluate the release characteristics of the manufactured filament and 3D-printed tablet, dissolution tests were conducted for 10 h under simulated gastrointestinal tract conditions using the pH jump method with the United States Pharmacopeia apparatus II paddle method at 37 ± 0.5 °C and 50 rpm. Dissolution tests confirmed that both the sustained-release and solubilized forms of AAP and IBF within the filament and 3D-printed tablet exhibited distinct drug-release behaviors. The physicochemical properties of the filament and 3D-printed tablet were confirmed by thermogravimetric analysis, differential scanning calorimetry, powder X-ray diffraction, and Fourier-transform infrared spectroscopy. HME transforms crystalline drugs into amorphous forms, demonstrating their physicochemical stability. Scanning electron microscopy and confocal laser scanning microscopy indicated the presence of sustained AAP granules within the filament, confirming that the drugs were independently separated within the filament and 3D-printed tablets. Finally, sustained-release AAP and solubilized IBF were independently incorporated into the filaments using DME technology. Therefore, a dual-release 3D-printed fixed-dose combination was prepared using the proposed filament.