Publications

Yolkin is an egg yolk-derived protein with immunoregulatory properties. In this work, yolkin was evaluated as a protective agent in endotoxemic BALB/c mice. The mice were pretreated with yolkin either orally in drinking water or intraperitoneally (i.p.) before i.p. injection of <i>E. coli</i> lipopolysaccharide (LPS). Circulating blood leukocyte number, blood cell composition, serum levels of tumor necrosis factor alpha (TNF-α), interleukin 6 (IL-6), and haptoglobin, as well as histological changes in the spleen and the liver, were examined. Yolkin differentially regulated the values of these parameters, depending on the administration protocol; however, the serum levels of TNF-α and IL-6 were generally decreased, and the level of haptoglobin, an acute-phase protein, was elevated. The pretreatment of mice with yolkin led to improved histological architecture in the investigated organs of endotoxemic mice, particularly in the liver, where yolkin diminished an increased level of vascular permeability and reversed a decreased number of Kupffer cells. These changes were independent of the route of yolkin administration. In conclusion, yolkin proved effective in the amelioration of pathogenic consequences of LPS administration and may be considered a potential protective measure for patients at risk of endotoxemia.

Pyrolysis and related thermal conversion processes have shown increased research momentum in recent decades. Understanding the underlying thermal conversion process principles alongside the associated/exhibited operational challenges that are specific to biomass types is crucial for beginners in this research area. From an extensive literature search, the authors are convinced that a tutorial review that guides beginners particularly towards pyrolysis implementation, from different biomasses to the thermal conversion process and conditions, is scarce. An effective understanding of pre-to-main pyrolysis stages, alongside corresponding standard methodologies, would help beginners discuss anticipated results. To support the existing information, therefore, this review sought to seek how to navigate pyrolysis implementation, specifically considering factors and thermochemical operating methods for biomass conversion, drawing the ideas from: (a) the evolving nature of the thermal conversion process; (b) the potential inter-relatedness between individual components affecting pyrolysis-based research; (c) pre- to post-pyrolysis' engagement strategies; (d) potential feedstock employed in the thermal conversion processes; (e) the major pre-treatment strategies applied to feedstocks; (f) system performance considerations between pyrolysis reactors; and (g) differentiating between the reactor and operation parameters involved in the thermal conversion processes. Moreover, pre-pyrolysis activity tackles biomass selection/analytical measurements, whereas the main pyrolysis activity tackles treatment methods, reactor types, operating processes, and the eventual product output. Other areas that need beginners' attention include high-pressure process reactor design strategies and material types that have a greater potential for biomass.

The aim of this study was to analyze in vitro biological activities as anti-oxidant, anti-α-amylase, anti-α-glucosidase, anti-lipase, and anti-lipoxygenase activity, relative to bioactive components (phenolic acids, flavonols, xanthophylls, carotenes, esterified carotenoids, tocopherols, tocotrienols, and fatty acids) and the basic chemical composition (sugars, organic acid, dry matter, soluble solid, pH, titratable acidity, ash, pectins, and vitamin C) of Hippophaë rhamnoides berries. Six sea buckthorn cultivars commonly grown in Poland were analyzed including Aromatnaja, Botaniczeskaja-Lubitelskaja, Józef, Luczistaja, Moskwiczka, and Podarok Sadu. Berries contained 1.34–2.87 g of sugars and 0.96–4.22 g of organic acids in 100 g fresh weight, 468.60–901.11 mg of phenolic compounds, and 46.61–508.57 mg of carotenoids in 100 g dry mass. The fatty acid profile was established: palmitic &gt; palmitoleic &gt; oleic and linoleic &gt; stearic and linolenic acids. The highest anti-oxidant (34.68 mmol Trolox/100 g dry mass) and anti-α-amylase potential (IC50 = 26.83 mg/mL) was determined in Aromatnaja, anti-α-glucosidase in Botaniczeskaja-Lubitelskaja (IC50 = 41.78 mg/mL), anti-lipase in Moskwiczka and Aromatnaja (average IC50 = 4.37 mg/mL), and anti-lipoxygenase in Aromatnaja and Podarok Sadu fruits (100% inhibition). The studied sea buckthorn berries may be a raw material for the development of functional foods and nutraceutical products rich in compounds with high biological activity.

Hydrothermal carbonization (HTC) efficiently converts food waste into hydrochar for energy, soil improvement, and environmental remediation. However, optimizing HTC is challenging due to the complex interactions of temperature, residence time, moisture content, and catalyst dosage. This study explores the application of machine learning (ML) techniques for predicting and optimizing hydrochar yield and properties from the HTC of food waste. Key process parameters-temperature (120-360 °C), catalyst dosage (0-2 g), residence time (30-270 min), and moisture content were analyzed using three ML models: XGBoost (XGB), Support Vector Regression (SVR), and Linear Regression (LR). Among them, XGBoost demonstrated the highest predictive accuracy (R² = 0.87, MAE = 0.81, RMSE = 1.02), outperforming SVR (R² = 0.9386, MAE = 3.08) and LR (R² = 0.85, MAE = 0.86). Temperature was identified as the most significant factor (importance score = 0.91), followed by catalyst dosage (0.61). Optimized conditions yielded 48.5 g of hydrochar per 100 g of dry food waste, with an energy recovery efficiency of 68 %. The inclusion of TiO₂ nanoparticles as a catalyst significantly enhanced hydrochar properties, increasing carbon retention from 56.8 % to 77.6 %, bulk density from 0.37 g/cm³ to 0.89 g/cm³, and high heating value from 18.4 MJ/kg to 22.7 MJ/kg. These findings demonstrate the potential of ML-driven optimization for real-time control of HTC, reducing reliance on trial-and-error experimentation and advancing sustainable waste-to-energy conversion technologies.

This paper provides a comprehensive description of the new approach to biomass torrefaction under high-pressure conditions. A new type of laboratory-scale high-pressure reactor was designed and built. The aim of the study was to compare the high-pressure torrefaction with conventional near atmospheric pressure torrefaction. Specifically, we investigated the torrefaction process influence on the fuel properties of wooden-pellet for two different pressure regimes up to 15 bar. All torrefaction processes were conducted at 300 °C, at 30 min of residence time. The initial analysis of the increased pressure impact on the torrefaction parameters: mass yields, energy densification ratio, energy yield, process energy consumption, the proximate analysis, high heating value, and energy needed to grind torrefied pellets was completed. The results show that high-pressure torrefaction needed up to six percent less energy, whereas energy densification in the pellet was ~12% higher compared to conventional torrefaction. The presence of pressure during torrefaction did not have an impact on the energy required for pellet grinding (p &lt; 0.05).