Supercritical-CO2 extraction, identification and quantification of polyprenol as a bioactive ingredient from Irish trees species

Research Progress on Taxus Extraction and Formulation Preparation Technologies

Taxus, as a globally prevalent evergreen tree, contains a wealth of bioactive components that play a crucial role in the pharmaceutical field. Taxus extracts, defined as a collection of one or more bioactive compounds extracted from the genus Taxus spp., have become a significant focus of modern cancer treatment research. This review article aims to delve into the scientific background of Taxus extracts and their considerable value in pharmaceutical research. It meticulously sifts through and compares various advanced extraction techniques such as supercritical extraction, ultrasound extraction, microwave-assisted extraction, solid-phase extraction, high-pressure pulsed electric field extraction, and enzymatic extraction, assessing each technology's advantages and limitations across dimensions such as extraction efficiency, extraction purity, economic cost, operational time, and environmental impact, with comprehensive analysis results presented in table form. In the area of drug formulation design, this paper systematically discusses the development strategies for solid, liquid, and semi-solid dosage forms based on the unique physicochemical properties of Taxus extracts, their intended medical uses, and specific release characteristics, delving deeply into the selection of excipients and the critical technical issues in the drug preparation process. Moreover, the article looks forward to the potential directions of Taxus extracts in future research and medical applications, emphasizing the urgency and importance of continuously optimizing extraction methods and formulation design to enhance treatment efficacy, reduce production costs, and decrease environmental burdens. It provides a comprehensive set of preparation techniques and formulation optimization schemes for researchers in cancer treatment and other medical fields, promoting the application and development of Taxus extracts in pharmaceutical sciences.

Ultrasound, microwave and enzyme-assisted multiproduct biorefinery of Ascophyllum nodosum

This study investigated the multiproduct (fucoidans, β-glucans, proteins, carotenoids, fatty acids, amino acids and polyphenols) valorization of the invasive macroalgae Ascophyllum nodosum within a green biorefinery concept using ultrasound (US), microwave (MW) treatment followed by supercritical CO2 (SC-CO2) with co-solvent and enzymatic extraction. Water and 50% aqueous ethanol were used as green extraction solvents. The extraction methods using 50% ethanol as extraction solvent improved the yields of phenolic compounds and glucan and enhanced in vitro antioxidant activity. The characterization of SC-CO2 extracts revealed that pretreatment with US and MW improved the 2-fold yield of carotenoids, total phenolics and fatty acids. However, US/MW pretreatment and enzymatic extraction did not improve the yields of proteins and free amino acids. Overall, using concurrent green US/MW-assisted extraction methods enhanced the yields of the bioactive compounds in a short duration and provided extracts with a better antioxidant capacity in the field of food applications.

Strategy of Coniferous Needle Biorefinery into Value-Added Products to Implement Circular Bioeconomy Concepts in Forestry Side Stream Utilization

Sustainable development goals require a reduction in the existing heavy reliance on fossil resources. Forestry can be considered a key resource for the bioeconomy, providing timber, energy, chemicals (including fine chemicals), and various other products. Besides the main product, timber, forestry generates significant amounts of different biomass side streams. Considering the unique and highly complex chemical composition of coniferous needle/greenery biomass, biorefinery strategies can be considered as prospective possibilities to address top segments of the bio-based value pyramid, addressing coniferous biomass side streams as a source of diverse chemical substances with applications as the replacement of fossil material-based chemicals, building blocks, food, and feed and applications as fine chemicals. This study reviews biorefinery methods for coniferous tree forestry biomass side streams, exploring the production of value-added products. Additionally, it discusses the potential for developing further biorefinery strategies to obtain products with enhanced value.

Essential Oils of Taxodium distichum Winter Leaves Obtained by Supercritical Carbon Dioxide Extraction Method and Hydrodistillation

The extraction of Taxodium distichum needles was done using supercritical carbon dioxide extraction and hydrodistillation. SC CO2 extraction of T. distichum winter leaves was conducted at different pressures and temperatures using a central composite rotatable design. The optimal extraction conditions concerning the yield and α-tocopherol relative amount were determined by response surface methodology. The optimal conditions for the highest extraction yield of 3.97% were at 17.79 MPa and 62.70 °C and the highest α-tocopherol relative amount of 85.99 mg per 100 g of the plant material was at 22.07 MPa and 35.86 °C. The essential oil obtained by hydrodistillation contained 62 compounds and (-)-caryophyllene oxide was dominant (55.55%). The T. distichum essential oil obtained by SC CO2 extraction and hydrodistillation had a different composition. The desirable compounds influence the choice of the extraction method.

Investigation of the chemical structure of anti-amyloidogenic constituents extracted from Thamnolia vermicularis

ETHNOPHARMACOLOGICAL RELEVANCE

Thamnolia vermicularis (Sw.) Schaer (T. vermicularis) is known to have therapeutic effects on various diseases in Southwest China. Recent research has highlighted that T. vermicularis may suppress Aβ level and Tau hyperphosphorylation to improve the pathological characteristics of Alzheimer's disease, indicating that it might have the potential to treat Alzheimer's disease.

AIM OF THE STUDY

The objective of this study was to evaluate the inhibitory effect of T. vermicularis on the fibril formation of a typical amyloidogenic protein, hen egg white lysozyme (HEWL), and to identify the effective components that could potentially enable an extract of T. vermicularis to be used in the development of novel therapeutic agents.

MATERIALS AND METHODS

A water extract was prepared from T. vermicularis (TVWE) and its inhibitory effect on amyloid fibrillation in vitro was investigated using thioflavin T and 8-anilinonapthalene-1-sulfonic acid spectrofluorometric analyses. The anti-amyloidogenic components of TVWE were separated and qualitatively analyzed using thin layer chromatography (TLC), supercritical carbon dioxide extraction (SFE-CO₂), and liquid chromatography-mass spectrometry. Finally, the effect of the bioactive components on the structure of HEWL in the early stages of fibrillogenesis was determined by molecular docking simulation.

RESULTS

TVWE strongly inhibited the ability of HEWL to form an amyloid fibril, yielding an IC₅₀ of 0.018 mg/mL for the inhibition of fibrillogenesis. The chemical constituents in the various TVWE fractions resolved by TLC were qualitatively identified by liquid chromatography-quadrupole/time-of-flight mass spectrometry (LC-Q-TOF-MS). The target components were predicted by reviewing the existing literature on T. vermicularis, in which the components of T. vermicularis, along with three small molecules (molecular weight: 182) were preliminarily identified. Molecular docking simulation showed that these small molecules were bound to the core region of HEWL, affecting its stability. Finally, the active anti-amyloidogenic components were extracted from whole T. vermicularis using SFE-CO₂ and then identified.

CONCLUSION

The potential components of TVWE that could prevent HEWL fibrillogenesis were primarily identified using TLC, LC-Q-TOF-MS, and SFE-CO2. The candidate small-molecule compounds were further predicted by combining the LC-Q-TOF-MS results with molecular docking analysis. The effective components of T. vermicularis were extracted using SFE-CO₂. Together, these methods could constitute a practical strategy for the isolation and identification of anti-amyloidogenic components from a traditional Chinese medicine.

A universal methodology for reliable predicting the non-steroidal anti-inflammatory drug solubility in supercritical carbon dioxide

Understanding the drug solubility behavior is likely the first essential requirement for designing the supercritical technology for pharmaceutical processing. Therefore, this study utilizes different machine learning scenarios to simulate the solubility of twelve non-steroidal anti-inflammatory drugs (NSAIDs) in the supercritical carbon dioxide (SCCO₂). The considered NSAIDs are Fenoprofen, Flurbiprofen, Ibuprofen, Ketoprofen, Loxoprofen, Nabumetone, Naproxen, Nimesulide, Phenylbutazone, Piroxicam, Salicylamide, and Tolmetin. Physical characteristics of the drugs (molecular weight and melting temperature), operating conditions (pressure and temperature), and solvent property (SCCO₂ density) are effectively used to estimate the drug solubility. Monitoring and comparing the prediction accuracy of twelve intelligent paradigms from three categories (artificial neural networks, support vector regression, and hybrid neuro-fuzzy) approves that adaptive neuro-fuzzy inference is the best tool for the considered task. The hybrid optimization strategy adjusts the cluster radius of the subtractive clustering membership function to 0.6111. This model estimates 254 laboratory-measured solubility data with the AAPRE = 3.13%, MSE = 2.58 × 10^–9, and R² = 0.99919. The leverage technique confirms that outliers may poison less than four percent of the experimental data. In addition, the proposed hybrid paradigm is more reliable than the equations of state and available correlations in the literature. Experimental measurements, model predictions, and relevancy analyses justified that the drug solubility in SCCO₂ increases by increasing temperature and pressure. The results show that Ibuprofen and Naproxen are the most soluble and insoluble drugs in SCCO₂, respectively.