Selective Solvent Research Articles

Sustainable Solution Processing Toward High‐Efficiency Organic Solar Cells: A Comprehensive Review of Materials, Strategies, and Applications

AbstractOrganic solar cells (OSCs) have emerged as promising candidates for renewable energy harvesting due to their lightweight, flexible, and low‐cost fabrication potential. The efficiency of OSCs is largely determined by the choice of solvents, which significantly affect the film morphology of the active layers, the intermixed donor‐acceptor domains, and overall device performance. Beginning with an introduction to the importance of solvent selection, the screening and classification of solvents, emphasizing their characteristics and classification based on sustainability, solubility, and other additional considerations are explored. Various non‐halogenated solvents, highlighting commonly used aromatic solvents, biomass‐derived solvents, and water/alcohol‐based solvents are explored. The state‐of‐the‐art donor and acceptor materials, focusing on efficient donor materials such as PM6 and D18, and high‐performing Y‐series acceptors are also presented. Strategies for developing high‐performance OSCs processed using non‐halogenated solvents are examined, including solvent engineering with additive and additive‐free approaches, ternary strategies, and layer‐by‐layer techniques. The fabrication of large‐area devices using non‐halogenated solvents is addressed, focusing on blade‐coating, slot‐coating, and other processing techniques. Finally, this review outlines future research directions in the non‐halogenated solvent processing of OSCs, emphasizing the need for continuous innovation to overcome existing limitations and propel OSC technology toward commercial viability.

Effect of Solvents on the Performance and Structure of Polymethylacrylimide Aerogels.

Solvent effects play a critical role in solution polymerization, especially in free radical polymerization, where they influence both monomer-solvent interactions and the resulting polymer structure. In this study, polymethacrylimide (PMI) aerogels were synthesized via freeze-drying using dimethylformamide (DMF), dimethylacetamide (DMAc), and dimethyl sulfoxide (DMSO) as solvents. The effects of monomer reactivity ratios, monomer distribution, and solvent-monomer interactions on the shrinkage, bulk density, pore size, and compressive properties of the aerogels were investigated. Results demonstrated that solvent choice significantly impacted the polymerization process, leading to variations in the structure and properties of the final aerogels. Notably, aerogels synthesized in DMSO, the most polar solvent, exhibited the lowest shrinkage (33.98%), highest density (0.1582 g·cm-3), and highest compressive stress (1695.48 kPa at 70% strain). These findings underscore the importance of solvent selection in controlling the microstructure and enhancing the mechanical performance of PMI aerogels.

Greenness and whiteness appraisal for bioanalysis of quetiapine, levodopa and carbidopa in spiked human plasma by high performance thin layer chromatography.

A sustainable HPTLC-densitometric method was developed for quantitative determination of Quetiapine (QUET), Levodopa (LD) and Carbidopa (CD) in presence of Dopamine (DOP) as an internal standard. This applicable technique was achieved by spiking human plasma and extraction was performed using the protein precipitation approach. The mobile phase used was acetone, dichloromethane, n-butanol, glacial acetic acid and water (3: 2.5: 2: 2: 1.75, by volume). Method validation was done according to US-FDA guidelines and was able to quantify Quetiapine, Levodopa and Carbidopa in the ranges of 100-4000, 200-8000 and 30-1300 ng/mL, respectively. Bioanalytical method validation parameters were assessed for the studied drugs. Finally, the analytical suggested methodology was evaluated using various green and white analytical chemistry metrics and other tools, such as the green solvent selection tool, analytical eco-scale, green analytical procedure index, analytical greenness metric approach and the red-green-blue algorithm tool. The results revealed that the applied analytical method had a minor impact on the environment and is a relatively greener option than other previously reported chromatographic methods.

Impact of PM2.5 filter extraction solvent on oxidative potential and chemical analysis

ABSTRACT Fine particulate matter (PM2.5) is hypothesized to induce oxidative stress, and has been linked to acute and chronic adverse health effects. To better understand the risks and underlying mechanisms following exposure, PM2.5 is collected onto filters but prior to toxicological analysis, particles must be removed from filters. There is no standard method for filter extraction, which creates the possibility that the methods of extraction selected can alter the chemical composition and ultimately the biological implications. In this study, comparisons were made between extraction solvents (methanol (MeOH), dichloromethane (DCM), 0.9% saline, and Milli-Q water) and the results of oxidative potential and elemental concentration analysis of PM2.5 collected across sites in Arkansas, USA. Significant differences were observed between solvents, with DCM having significantly different results compared to all other extraction solvents (p ≤ 0.001). Significant correlations between element, black carbon, and PM2.5 concentrations and oxidative potential were observed. The observed correlations were extraction solvent dependent. For example, in saline extracted samples, oxidative potential had significant negative correlations with: Ba, Cd, Ce, Co, Ga, Mn and significant positive correlations with: Cr, Ni, Th, U. While in MeOH extracted samples, significant positive correlations were only between oxidative potential and Ga, U and significant negative correlations with V. This indicates that PM2.5 samples extracted with different solvents will yield different conclusions about the causal components. This study highlights the importance of filter extraction methods in interpretation of oxidative potential results and comparisons between studies. Implications While there is no standard method for PM2.5 filter extraction, variation of extraction methods impact analytical results. This project identifies that extraction method variation, particularly extraction solvent selection, leads to discrepancies in chemical and toxicological analysis for PM2.5 collected on the same filter. This work highlights the need for methods standardization to support accurate comparisons between PM2.5 research studies, thus providing better understanding of PM2.5 across the globe.

Exploring Selectivity of Supercritical-CO2 for Vitamin E Extraction from Canola Seeds

AbstractThe objective of the current study was to investigate the selectivity of supercritical-CO2 for extraction and concentration of Vitamin E components from canola seeds. The selectively extracted Vitamin E in supercritical-CO2 solvent was related to pressure, temperature, and density through the developed thermodynamic modeling approach. The results suggested that increased pressure and density would enhance the selectivity of supercritical-CO2 solvent, consequently obtaining highly concentrated Vitamin E. The thermodynamic modeling equations have correlated the selectivity of supercritical-CO2 solvent for extracting Vitamin E in terms of processing conditions including pressure, temperature, and density of the supercritical-CO2 solvent fluid. The activity coefficient in thermodynamic modeling was involved with those key parameters that are important in determining selectivity, concentration, and extraction results. The supercritical-CO2 solvent can be made highly selective by precisely controlling the operating pressure and temperature. This allowed the supercritical-CO2 solvent to achieve the desired density in the supercritical phase, thereby enhancing the selectivity for targeted components. The thermodynamic mathematical modeling offered valuable insights for enhancing extraction processes in industrial settings. A high regression coefficient via linear structural modeling analysis indicated that the response equation fitted with the experimental data (R2 = 0.8737). The experimental results for the separation parameters provide optimal selectivity of supercritical-CO2 solvent for extracting and concentrating Vitamin E compounds for establishing commercial production.

PH‐sensitive size/surface charge‐adaptive quaternary ammonium salt copolymer micelles for antibiofilm activity against Staphylococcus aureus

AbstractThe low penetration of antibacterial materials within biofilms results in a 1000‐fold decrease in bactericidal efficiency, complicating the complete removal of biofilms and potentially leading to persistent and recurrent bacterial infections that significantly impact human health. In this study, we present a multifunctional pH‐responsive antibacterial material based on random copolymers poly(dimethylaminoethyl methacrylate decyl ammonium bromide‐co‐polyethylene glycol methacrylate) copolymer (PQACs10‐co‐PEGMA10). The PQACs10‐co‐PEGMA10 copolymers could self‐assemble into micelles in selective solvent water. With the stealth function of polyethylene glycol (PEG), the PQACs10‐co‐PEGMA10 micelles can rapidly penetrate biofilms in a physiological environment and exhibit excellent antibacterial activity by exposing the quaternary ammonium salt (QACs) in an acidic microenvironment to eliminate biofilm. Furthermore, PQACs10‐co‐PEGMA10 micelles were applied as coatings using a dropwise method. The PEG chain formed hydration layer and the QACs chain for sterilization can hinders bacterial adhesion and proliferation, thereby preventing biofilm formation. The results show that the minimal inhibit concentration values and minimum biofilm eradication concentrations of the PQACs10‐co‐PEGMA10 micelles against Gram‐positive Staphylococcus aureus were 64 and 128 μg/mL, respectively. The antifouling and antibacterial rates of micelle coating against S. aureus were more than 99.99%. Taken together, the pH‐responsive PQACs10‐co‐PEGMA10 micelles demonstrate a good ability to clear and prevent biofilms, holding promise for complete biofilm removal and a reduction in biofilm‐related infections.

Selection of solvent and positive control concentration for enhanced Ames test conditions for N-nitrosamine compounds

The Ames test is a widely used bacterial mutagenicity assay to evaluate the potential of chemical compounds to induce mutations. In recent years, there has been growing concern regarding the presence of N-nitrosamines in pharmaceuticals, food, and other consumer products. N-Nitrosamines are probable mutagens and carcinogens. To address the reduced sensitivity of the standard Ames test for N-nitrosamines, particularly N-nitrosodimethylamine, the European Medicines Agency (EMA) and United States Food and Drug Administration (FDA) have recently published recommendations for enhanced Ames test (EAT) conditions. However, there is a lack of clear guidance on the selection of N-nitrosamine positive control concentrations, particularly for 1-cyclopentyl-4-nitrosopiperazine, and the amount of solvent to be used in the EAT. This study aims to address the current gap in concentration and volume specifications by providing a comprehensive guide to set up enhanced Ames test conditions specifically for N-nitrosamine compounds using appropriate amounts of solvent, new solvents, and strain-specific positive control concentrations.

Enhancing the Biomimetic Mechanics of Bottlebrush Graft-Copolymers through Selective Solvent Annealing.

Self-assembled networks of bottlebrush copolymers are promising materials for biomedical applications due to a unique combination of ultra-softness and strain-adaptive stiffening, characteristic of soft biological tissues. Transitioning from ABA linear-brush-linear triblock copolymers to A-g-B bottlebrush graft copolymer architectures allows significant increasing the mechanical strength of thermoplastic elastomers. Using real-time synchrotron small-angle X-ray scattering, it is shown that annealing of A-g-B elastomers in a selective solvent for the linear A blocks allows for substantial network reconfiguration, resulting in an increase of both the A domain size and the distance between the domains. The corresponding increases in the aggregation number and extension of bottlebrush strands lead to a significant increase of the strain-stiffening parameter up to 0.7, approaching values characteristic of the brain and skin tissues. Network reconfiguration without disassembly is an efficient approach to adjusting the mechanical performance of tissue-mimetic materials to meet the needs of diverse biomedical applications.

Multidimensional Exploration of Wood Extractives: A Review of Compositional Analysis, Decay Resistance, Light Stability, and Staining Applications

Extractives, which naturally evolve as fundamental defense mechanisms in wood against environmental stresses, hold an essential place in the field of wood conservation science. Despite their low content in woody substrates, extractives are chemically complex and can be extracted accurately by solvents with different polarities, covering key components such as aliphatic, terpenoid, and phenolic compounds. The application of solvent extraction allows for the effective recovery of these extracts from forestry waste, thereby creating new opportunities for their reuse in wood modification and enhancing the economic value and potential applications of forestry waste. In the wood industry, extractives not only act as efficient preservatives and photo-stabilizers, significantly improving the decay resistance and photodegradation resistance of wood, but also serve as ideal dyes for fast-growing wood due to their abundant natural colors, which lend the product a distinct aesthetic appeal. The aim of this paper is to provide a comprehensive review of the origin and distribution characteristics of wood extractives and to examine the impact of solvent selection on extraction efficiency. At the same time, the mechanism of extractives in enhancing wood decay resistance and slowing down photodegradation is deeply analyzed. In addition, specific examples are presented to illustrate their wide utilization in the wood industry. This is intended to provide references for research and practice in related fields.

Mobile Phase Contaminants Affect Neutral Lipid Analysis in LC-MS-Based Lipidomics Studies.

Lipidomics is a well-established field, enabled by modern liquid chromatography mass spectrometry (LC-MS) technology, rapidly generating large amounts of data. Lipid extracts derived from biological samples are complex, and most spectral features in LC-MS lipidomics data sets remain unidentified. In-depth analyses of commercial triacylglycerol, diacylglycerol, and cholesterol ester standards revealed the expected ammoniated and sodiated ions as well as five additional unidentified higher mass peaks with relatively high intensities. The identities and origin of these unknown peaks were investigated by modifying the chromatographic mobile-phase components and LC-MS source parameters. Tandem MS (MS/MS) of each unknown adduct peak yielded no lipid structural information, producing only an intense ion of the adducted species. The unknown adducts were identified as low-mass contaminants originating from methanol and isopropanol in the mobile phase. Each contaminant was determined to be an alkylated amine species using their monoisotopic masses to calculate molecular formulas. Analysis of bovine liver extract identified 33 neutral lipids with an additional 73 alkyl amine adducts. Analysis of LC-MS-grade methanol and isopropanol from different vendors revealed substantial alkylated amine contamination in one out of three different brands that were tested. Substituting solvents for ones with lower levels of alkyl amine contamination increased lipid annotations by 36.5% or 27.4%, depending on the vendor, and resulted in >2.5-fold increases in peak area for neutral lipid species without affecting polar lipid analysis. These findings demonstrate the importance of solvent selection and disclosure for lipidomics protocols and highlight some of the major challenges when comparing data between experiments.

Integrating thermodynamic and kinetic approaches for the design of effective and sustainable PET chemical upcycling systems

Understanding and optimizing the individual contributions of recycling process components are critical in the development of effective and sustainable upcycling systems. Herein, each process component, i.e., alcohol, co-solvent, Lewis acid, and reaction conditions, is newly and holistically assessed for the alcohol-based conversion of postconsumer polyethylene terephthalate (PET) to terephthalic acid (TPA) and its precursors by integrating thermodynamic and kinetic considerations. First, an analysis based on the Flory-Huggins interaction parameter (χ1,2) establishes the importance of co-solvents in the depolymerization process due to reduction of thermodynamic potential. Second, a kinetic analysis of the catalyst component proves the vitality of the solubility of the Lewis acid source for efficient PET deconstruction. In addition, further validation experiments determine methanol as the most effective option in tandem alcoholysis given its reduced steric hindrance and relatively higher nucleophilicity, whereas process optimization tests suggest the existence of an optimum methanol molar ratio (XMetOH) of 0.16 and operation at 50 °C to realize TPA yields that exceed 90 % within 15 min across various pure and mixed PET feedstocks. Selection and implementation of greener solvents in the process is also found to reduce co-solvent based emissions by 96.3 % whilst retaining comparable monomer production efficiency. Overall, the implementation of thermodynamic considerations and kinetics-based understanding of roles played by each component is found to boost the overall depolymerization process, and the integration of these thermodynamic and kinetic approaches provides a unified avenue for optimizing and developing sustainable recycling processes for post-consumer plastic waste.

Liquid-Liquid Extraction Solvent Selection for Comparing Illegal Drugs in Whole Blood and Dried Blood Spot with LC-MS/MS.

This study focused on the simultaneous detection of amphetamine, 3,4-methyl enedioxy methamphetamine, morphine, benzoylecgonine, and 11-nor-9-carboxy- tetrahydrocannabinol (Δ9-THC-COOH) in whole blood and DBS. It is aimed to select a solvent mixture for liquid-liquid extraction (LLE) technique employing LC-MS/MS. The obtained DBS results were compared with the whole blood samples results. A simple, rapid, and reliable LC-MS/MS method was developed and validated for all analytes in whole blood and DBS. LC was performed on a Hypersil Gold C18 column an initial step with a gradient of 0.01 % formic acid, 5 mM ammonium format buffer in water, and acetonitrile at 0.3 ml/min with 7.5-min runtime. A methanol:acetonitrile (40:60 v/v) mixture was selected for both matrices. LOQ values were 10-25 ng/mL; linear ranges were LOQ-500 ng/ml for all analytes; correlation coefficients were greater than 0.99, and all calibrator concentrations were within 20%. Analytical recovery in blood and DBS ranged from 84.9-113.2% of the expected concentration for both intra and-inter day. Analytes were stable for 1, 10, and 30 days after three freeze/thaw cycles. It was determined that the variances of the results obtained with the two matrices in the comparison study were equal for each analyte, and the results were highly correlated (r=0.9625). A sensitive, accurate, and reliable chromatographic method was developed to determine amphetamine, MDMA, morphine, benzoylecgonine, and cannabis, by performing the same preliminary steps with whole blood and dried blood spots. It was observed that the results obtained in these two matrices were compatible and interchangeable when statistically compared.

Development and Validation of HSPiP- and Optimization-Assisted Method to Analyze Tolterodine Tartrate in Pharmacokinetic Study

A new approach was applied for the development of a precise, simple, and economic analytical process for the accurate analysis of tolterodine tartrate (TOT) in its bulk and tablet using HSPiP- and quality by design (QbD)-assisted methods. The HSPiP program predicted several solvents and their right ratios for the mobile phase, followed by simulating the experimental solubility data in various predicted solvents. QbD was used to identify the impact of the composition and the mobile phase flow rate on the peak area and retention time. TOT was estimated using an Agilent TC C18 column employing an optimized mobile phase. The HSPiP shortened the solvent selection time with high reliability, whereas QbD identified critical factors. The optimized composition and process variables were used to develop an analytical method for TOT estimation. Various analytical validation parameters were estimated with constructed linearity of 5–30 μg/mL and a percent recovery yield value of 100.36%. To ensure the reliability of the optimized method, we estimated validation parameters (linearity, specificity, precision, accuracy, robustness, and ruggedness) to comply with the ICH guidelines. Considering the high recovery yield, good regression coefficient, low detection limit, and low noise ratio, the optimized method was accurate and precise with a high degree of specificity, rapid process, and reproducibility for the quantitative estimation of tolterodine from both oral analytes (I and II). The validated method was implemented for pharmacokinetic study in rats for quantitative estimation of the analytes with high accuracy, sensitivity, and reproducibility.

The Influence of Solvent Choice on the Extraction of Bioactive Compounds from Asteraceae: A Comparative Review

While the potential of Asteraceae plants as herbal remedies has been globally recognized, their widespread application in the food, cosmetic, and pharmaceutical industries requires a deeper understanding of how extraction methods influence bioactive compound yields and functionalities. Previous research has primarily focused on the physiological activities or chemical compositions of individual Asteraceae species, often overlooking the critical role of solvent selection in optimizing extraction. Additionally, the remarkable physiological activities observed in these plants have spurred a growing number of clinical trials, aiming to validate their efficacy and safety for potential therapeutic and commercial applications. This work aims to bridge these knowledge gaps by providing an integrated analysis of extraction techniques, the diverse range of bioactive compounds present in Asteraceae, and the influence of solvent choice on isolating these valuable substances. By elucidating the interplay between extraction methods, solvent properties, and bioactivity, we underscore the promising potential of Asteraceae plants and highlight the importance of continued research, including clinical trials, to fully unlock their potential in the food, cosmetic, and pharmaceutical sectors.

Understanding and enhancing the phase stability of fast pyrolysis oils through ternary phase diagrams

Fast pyrolysis oils (FPOs), derived from various biomass feedstocks, hold promise as carbon–neutral fuels. However, their industrial use is hindered due to phase separations during storage, transportation and co-processing, with limited understanding of the root causes that drive this phenomenon. This study aims to elucidate the kinetic stability of FPO by developing ternary phase diagrams and exploring the effects of the temperature and addition of organic solvents on the aging. The phase stability of FPO was found to be determined by the fraction of pyrolytic lignin (PL), mixed solvent (MS), and water. Even at 25 °C, phase separations could consistently occur when the PL content exceeded 56 wt% or the MS content fell below 28 wt%. Heating the FPO to 50 °C–80 °C led to a decrease in the water-soluble content and an increase in the water-insoluble content, while the water content remained relatively unchanged, indicating the transition of the water-soluble content to water-insoluble content was closely related to FPO phase separation during aging at elevated temperatures. Moreover, the solvents could slow the aging of the FPO in the order of 2-propanol > ethanol > methanol > ethylene glycol > glycerol. Thermogravimetric analysis (TGA) and Fourier transform infrared spectroscopy (FTIR-spectroscopy) analysis further revealed changes in both the chemical compositions and polymerizations during aging, in which alcohols were identified as effective inhibiters to slow the aging. These new findings provide promising pathways to controlling the FPO phase stability through solvent selections and will advance the adoptions of FPOs.

COSMO-RS screening of organic mixtures for membrane extraction of aromatic amines: TOPO-based mixtures as promising solvents

Aromatic amines are crucial in pharmaceuticals, but their synthesis is challenging due to unfavorable reaction equilibria and the use of costly, environmentally unfriendly methods. This study presents a membrane extraction (ME) process for in situ product removal (ISPR) of aromatic amines. Using a supported liquid membrane (SLM), -methylbenzylamine (MBA) and 1-methyl-3-phenylpropylamine (MPPA) were separated from isopropyl amine (IPA). COSMO-RS was employed to screen over 200 organic mixtures, identifying twelve mixtures based on trioctylphosphine oxide (TOPO), lidocaine, and menthol as solvent candidates, due to their hydrophobicity. These mixtures were analysed for critical solvent properties including density, viscosity, hydrophobicity, and hydrogen bonding interactions. ME tests showed TOPO-thymol had the highest solvent residual and selectivity. Moreover, TOPO-thymol demonstrated solute fluxes of 9.0±3.0 g/(m2 h) for MBA, 16.5±5.4 g/(m2 h) for MPPA, and 0.7±0.3 g/(m2 h) for IPA, with selectivity values of 12.4±0.8 for MBA/IPA and 22.8±1.4 for MPPA/IPA. Compared to undecane, which had lower selectivity values of 6.9±0.8 for MBA/IPA and 10.1±1.3 for MPPA/IPA, TOPO-thymol showed superior selectivity, indicating its promise as an extractant for ME applications.

D-Limonene extraction from Citrus reticulata Blanco wastes with compressed propane and supercritical CO2

In this study, the use of supercritical CO2 (scCO2), and compressed propane (CP) were applied to obtain a crude extract rich in d-limonene (DL) from Ponkan waste from the juice industry. The moisture content of the dried waste was 8.53% and a particle size of 28 mesh was determined for the extractions. Soxhlet extraction was performed with 5g of waste and 150mL of n-hexane and showed an extraction yield of 1.94% with a DL fraction of 44.83%. The experimental design was carried out for scCO2 and CP and the condition that resulted in the highest extraction yield (1.50%) and DL fraction (89.01%) using scCO2 was 80 °C and 20MPa, while when C3H8 was used, the highest extraction yield (2.35%) and DL fraction (89.38%) were obtained at 40 °C and 15MPa. The results show that scCO2 and C3H8 are selective solvents for DL extraction.

Formation and reactivity of Electrogenerated Lewis acids by oxidation of Bu4NB(C6F5)4 under weakly coordinating conditions

This study explores the generation and application of electrogenerated Lewis acids (EGLA) through anodic oxidation of tetrakis(pentafluorophenyl)borate, B(C6F5)4−, in weakly coordinating electrolytes. Employing Bu4NB(C6F5)4/CH2Cl2 as the electrolyte, bis(perfluorophenyl)borane (PFB), a highly reactive Lewis acid, was generated and utilized in various organic transformations. Cyclic voltammetry confirmed the onset of oxidation at 1.8 V vs. Ag/AgNO3, which led to the formation of the EGLA species. The EGLA system was successfully applied for the defluorination of 1-fluoroadamantane and other alkyl fluorides in both batch and flow electrolysis systems. Additionally, EGLA was effective in catalyzing diverse reactions, including Friedel-Crafts dimerization, deoxygenation of triphenylmethanol, and carbonyl–olefin metathesis, outperforming traditional Lewis acids, such as PFB and tris(pentafluorophenyl)borane. The reactivity of EGLA is strongly dependent on the solvent environment, with weakly coordinating solvents being critical for maintaining activity. This study highlights the potential of EGLA as a versatile and highly active catalyst for a broad range of organic transformations, emphasizing the importance of solvent selection in maximizing its reactivity.

Influence of solvent selection and RESS processing conditions on formation of a praziquantel-malonic acid cocrystal in supercritical CO2

Praziquantel (PZQ) is an anthelmintic drug with low solubility, therefore cocrystallization and particle size reduction is desirable to improve bioavailability. In this study, a PZQ-malonic acid cocrystal was micronized by rapid expansion of supercritical solution (RESS). Due to low solubility in scCO2, four cosolvents were screened as RESS modifiers. While addition of acetone or THF yielded mixtures of PZQ and its cocrystal, MeOH and EtOH produced pure cocrystal. Impact of pressure (15–30 MPa), temperature (35–55 °C), and cosolvent loading (3–10 volumes) on phase-purity, yield, and particle size were investigated. Adding cosolvent to RESS facilitated dissolution of cocrystal formers in scCO2 and crystallization of the cocrystal with yields up to 68.5 wt% and particle size as low as 600 nm. Results show that for APIs with low solubility in scCO2, cosolvent-modified RESS is a suitable approach for simultaneous crystallization and micronization.

Differential Biochemical Content and Free Radical Scavenging Potency of Three Solvent Extracts of Porodaedalea pini

Porodaedalea pini, a non-edible mushroom, is a notable source of bioactive compounds with traditional medicinal uses. Solvent selection is crucial in research and development of natural products. This study examined how solvent polarity affects the biochemical composition and antioxidant properties of P. pini. Crude extracts were prepared from whole mushrooms using chloroform, methanol, and ethyl acetate through cold extraction. Total carbohydrate, flavonoid, and phenolic contents were measured, and free-radical scavenging activities against DPPH and superoxide anion were assessed by employing standard protocols. Methanolic extracts yielded significantly more than ethyl acetate (p<0.05) and chloroform (p<0.001) extracts, showing higher levels of carbohydrates, proteins, flavonoids, and phenolics (p<0.001). All extracts displayed notable free-radical scavenging activity, with methanol being the most potent, followed by ethyl acetate and chloroform. Thus, solvent polarity greatly affects the biochemical constituents and antioxidant activity of P. pini extracts, highlighting the importance of solvent choice in optimising their bioactive potential.