Search Results (53)

To improve the flexibility of coal-fired power units and support renewable energy integration, molten salt thermal storage has been widely considered a promising retrofit option. However, under unified operating conditions, the comparative effects of different heat-release pathways and steam extraction ratios on flexibility, full-cycle thermodynamic performance, and economic performance have not been sufficiently clarified. In this study, a thermodynamic model of a 600 MW subcritical coal-fired power unit coupled with a two-tank molten salt thermal storage system was established in Ebsilon and validated against the design heat-balance data under typical load conditions, with maximum relative deviations of 0.06% for power output, 0.95% for main steam flow rate, and 1.24% for heat consumption rate. Three representative heat-release pathways were comparatively investigated under identical heat-storage conditions, with steam extraction ratios ranging from 2% to 18%. The results show that increasing the extraction ratio raises the thermal storage capacity from 9.762 to 84.636 MWh and enhances the downward peak-shaving capability, but weakens the full-cycle thermodynamic performance. Among the three schemes, Scheme 2 exhibits the strongest upward peak-shaving performance, with upward peak-shaving energy increasing from 2.893 to 24.395 MWh, and also yields the highest annual net profit (0.546–4.342 million CNY). Scheme 3 exhibits the best full-cycle thermal and exergy efficiencies, with full-cycle thermal efficiency of 42.76–41.56% and full-cycle exergy efficiency of 38.34–37.27%. In addition, Schemes 1 and 2 show significantly higher round-trip efficiencies than Scheme 3, with Scheme 2 becoming more advantageous at higher extraction ratios. Scheme 1 exhibits the shortest static payback period (7.12–7.63 years) and the highest internal rate of return (12.77–11.65%). These results indicate that the three schemes have distinct advantages in peak-shaving performance, full-cycle thermodynamic performance, and economic performance, and provide a comparative basis for engineering selection and parameter optimization of molten-salt-based flexibility retrofits in coal-fired power units. Full article

The application of ultra-supercritical power plant boilers is becoming increasingly widespread. P92 steel, as a typical material used for boiler main steam pipes, plays a critical role in unit safety, making the detection of its creep damage highly significant. However, existing conventional non-destructive testing methods are difficult to effectively detect creep damage. To address this issue, a magnetoacoustic emission (MAE)–magnetic Barkhausen noise (MBN) composite measurement system is developed, which is adapted to 20 Hz and 0.3 A sine wave excitation to trigger the synchronous pickup of MBN and MAE signals of P92 steel. After collecting signals with different creep life ratios (0%~100%) under working conditions of 650 °C and 100 MPa, time-domain (absolute mean, peak value, etc.) and frequency-domain (bandwidth) features are extracted. In response to the non-monotonicity between the magnetoacoustic features and the creep damage grade, principal component analysis (PCA) is introduced to reduce dimensionality. Different creep levels of samples in the two-dimensional principal component space are presented as clear gradient clustering, achieving the accurate differentiation of creep stages. Research has shown that the MAE-MBN composite system combined with PCA can effectively characterize the creep damage of P92 steel, providing a novel non-destructive detection path for the in-service life assessment of power plant components. Full article

Cinnamon leaves, an important source of cinnamaldehyde, have been shown to possess various pharmacological functions. A liposome-derived nanosuspension (CN), hydrosol (CH) and powder in water (CP) prepared from cinnamon leaves were explored for their preventive effects on type II diabetes (T2D) and Parkinson’s disease (PD) in rat models. Fifteen compounds were determined by UPLC-MS/MS, with cinnamaldehyde being predominant. CN with a mean particle size at 22.6 nm was prepared by mixing extract, lecithin, Tween 80, soybean oil and water with an optimal ratio, while hydrosol was prepared by steam distillation. A high storage and gastrointestinal stability were observed for CN. Rats were pre-fed with CN, CH and CP separately for 4 weeks, followed by induction with T2D or PD, with all three groups showing better preventive effects on T2D given the number of injections for T2D induction. Additionally, the OGTT, HOMA-IR, TXB2 and aPTT levels were significantly higher in the induction group than in the CN, CH and CP groups, revealing an effective prevention of T2D and cardiovascular disease. For PD prevention, CN was the most effective in improving muscle stiffness based on the catalepsy test and elevation of dopamine, tyrosine hydroxylase, serotonin, mitochondrial DNA and antioxidant enzymes, accompanied by a decline in α-synuclein and malondialdehyde. Full article

The lack of ultra-high temperature and ultra-high pressure (U-HTHP) experimental devices makes the data of CO₂-CH₄ solubility and exsolution insufficient under U-HTHP conditions, which leads to an unclear competitive solubility-exsolution mechanism of CH₄-CO₂ miscible natural gas. This study systematically investigates fluid-phase characteristics in the LD10-X gas field, the impacts of mixing ratio, sequence, temperature, and pressure on CO₂/CH₄ solubility, and the CO₂/CH₄ exsolution patterns. Mixing ratio experiments showed that CH₄ does not appear in the mixed solution when CO₂ mole fraction exceeds 7%. Solubility sequence tests revealed that CH₄ is no longer dissolved when CO₂ reaches solubility equilibrium. However, CO₂ continues to dissolve when CH₄ reaches the solubility equilibrium. Solubility with temperature and pressure experiments showed that solubility of both CO₂ and CH₄ increased with rising temperature and pressure. In addition, the exsolution amount increased slowly and then increased rapidly with the increase in the pressure difference for the CO₂ in the CO₂ and CH₄ phase. In addition, these laws were employed to explain the changes in CH₄ and CO₂ concentrations during the drill steam testing of wells LD10-X-10 and LD10-X-12, mainly because the extraction capacity of CO₂ decreased after pressure reduction. Additionally, CO₂ produced by chemical equilibrium movements extracted excess CH₄ again. This study provides guidelines for the design of CO₂ storage schemes and enhanced CH₄ recovery. Full article

Background/Objectives: Cinnamon leaves, an important source of the functional compound cinnamaldehyde (CA), have been shown to be effective in improving type II diabetes and Parkinson’s disease (PD) in rats following the incorporation of cinnamon leaf extract into a nanoemulsion. However, the effect of a cinnamon leaf extract nanoemulsion (CLEN) on improving Alzheimer’s disease (AD), the most prevalent type of dementia, remains unexplored. The objectives of this study were to determine functional compounds in cinnamon leaves by UPLC-MS/MS, followed by the preparation of a nanoemulsion and its byproducts to study their effects on AD and PD in rats. Methods: Oven-dried (60 °C for 2 h) cinnamon leaf powder and hydrosol, obtained by steam distillation of cinnamon leaf powder, were stored at 4 °C. After determination of basic composition (crude protein, crude fat, carbohydrate, moisture and ash) of cinnamon leaf powder, it was extracted with 80% ethanol with sonication at 60 °C for 2 h and analyzed for bioactive compounds by UPLC-MS/MS. Then, the CLEN was prepared by mixing cinnamon leaf extract rich in CA with lecithin, soybean oil, tween 80 and ethanol in an optimal ratio, followed by evaporation to form thin-film and redissolving in deionized water. For characterization, mean particle size, polydispersity index (PDI), zeta potential, encapsulation efficiency, and surface morphology were determined. Animal experiments were done by dividing 90 male rats into 10 groups (n = 9), with groups 2–8 being subjected to mini-osmotic pump implantation surgery in brain to infuse Amyloid-beta 40 (Aβ40) solution in groups 2–8 for induction of AD, while groups 9 and 10 were pre-fed respectively with cinnamon powder in water (0.5 g/10 mL) and in hydrosol for 4 weeks, followed by induction of AD as shown above. Different treatments for a period of 4 weeks included groups 1–9, with group 1 (control) and group 2 feeding with sterilized water, while groups 3, 4 and 5 were fed respectively with high (90 mg/kg), medium (60 mg/kg) and low (30 mg/kg) doses of cinnamon leaf extracts, groups 6, 7 and 8 fed respectively with high (90 mg/kg), medium (60 mg/kg) and low (30 mg/kg) doses of nanoemulsions, groups 9 and 10 fed respectively with 10 mL/kg of cinnamon powder in water and hydrosol (0.5 g/10 mL). Morris water maze test was conducted to determine short-term memory, long-term memory and space probing of rats. After sacrificing of rats, brain and liver tissues were collected for determination of Aβ40, BACE1 and 8-oxodG in hippocampi, and AchE and malondialdehyde (MDA) in cortices, antioxidant enzymes (SOD, CAT, GSH-Px) and MDA in both cortices and livers, and dopamine in brain striata by using commercial kits. Results: The results showed that the highest level of CA (18,250.7 μg/g) was in the cinnamon leaf powder. The CLEN was prepared successfully, with an average particle size of 17.1 nm, a polydispersity index of 0.236, a zeta potential of −42.68 mV, and high stability over a 90-day storage period at 4 °C. The Morris water maze test revealed that the CLEN treatment was the most effective in improving short-term memory, long-term memory, and spatial probe test results in AD rats, followed by the cinnamon leaf extract (CLE), powder in hydrosol (PH), and powder in water (PW). Additionally, both CLEN and CLE treatments indicated a dose-dependent improvement in AD rats, while PH and PW were effective in preventing AD occurrence. Furthermore, AD occurrence accompanied by PD development was demonstrated in this study. With the exception of the induction group, declines in Aβ40, BACE1, and 8-oxodG in the hippocampi and AchE and MDA in the cortices of rats were observed for all the treatments, with the high-dose CLEN (90 mg/kg bw) exhibiting the highest efficiency. The antioxidant enzyme activity, including that of SOD, CAT, and GSH-Px, in the cortices of rats increased. In addition, dopamine content, a vital index of PD, was increased in the striata of rats, accompanied by elevations in SOD, CAT, and GSH-Px and decreased MDA in rat livers. Conclusions: These outcomes suggest that the CLEN possesses significant potential for formulation into a functional food or botanical drug for the prevention and treatment of AD and/or PD in the future. Full article

Steamed ginger ethanolic extract (GGE03) has been shown to exert anti-obesity effects, yet its underlying molecular mechanisms remain unclear. This study investigates the metabolic impact of GGE03 on lipid metabolism, adipogenesis, and energy regulation in a high-fat diet (HFD)-induced obesity model. C57BL/6N mice were fed a control diet, a high-fat diet (HFD), or HFD supplemented with GGE03 (50, 100, or 200 mg/kg/day) for eight weeks. GGE03 significantly reduced body weight gain (HFD: 18.1 ± 0.3 g vs. HFD+GGE03 200 mg/kg/day: 13.4 ± 0.2 g, p < 0.05) and fat mass percentage (HFD: significantly higher vs. HFD+GGE03 50, 100, 200 mg/kg/day, p < 0.05). Serum glucose levels were decreased from 220.2 ± 8.2 mg/dL (HFD) to 169.6 ± 5.9 mg/dL (HFD+GGE03 200 mg/kg/day, p < 0.05), and triglyceride levels were reduced from 82.9 ± 4.2 mg/dL (HFD) to 57.2 ± 2.9 mg/dL (p < 0.05). Insulin resistance, as measured by HOMA-IR, was improved by up to 54.9% compared to the HFD (p < 0.05). Mechanistically, GGE03 administration increased AMPK phosphorylation (p-AMPK/AMPK ratio significantly elevated by HFD+GGE03 100 and 200 mg/kg/day, p < 0.05) and upregulated fatty acid oxidation gene expression (Cpt-1), while suppressing lipogenesis-related genes (Srebp-1c, Fas, and Acc1). GGE03 improved obesity-related metabolic disturbances in high-fat diet-induced mice, with beneficial effects associated with AMPK signaling and lipid metabolism. These findings suggest the potential of GGE03 as a functional food ingredient for obesity prevention and management. Full article

In the current study, lavender plant (Lavandula angustifolia Mill.) waste, as obtained after the essential oils steam distillation process as well as lignocellulose biomass of two of the most common pine species (Pinus nigra L., Pinus brutia L.), was characterized in terms of chemical composition, moisture, ash content, and calorific value, in order of its potential to be used as feedstock material in pellets production to be assessed, studying different materials ratios. The lavender material was introduced at low percentages (0, 5, 10 and 15% w/w) in the feedstock of pellets, in order to maintain the total ash content of the mixed feedstock as adequately low-lying, ensuring the classification of pellets in qualitative categories of A1, A2 and B (residential uses, ENplus). The resultant lavender–pine mixed syntheses were densified in a multi-mold pelletizing machine and the pellets were characterized with regard to physical, morphological, mechanical, hygroscopic, and thermal characteristics, based on the limits set by the respective ENplus standards as benchmarks. The results demonstrated that although lavender waste has a high content of ash and extractives compared to wood, it can be used in a mixture (<15% lavender percentage) with pure wood material to produce pellets of adequate quality for residential use. The lavender waste presence favored pellets’ mechanical strength, dimensions, hydrophobicity, dimensional stability, bulk density (marginally) and resultant quality of the pellets. Lavender slightly decreased the calorific value of pellets, though without recording a significant adverse impact. The lavender material mixed with black pinewood (at 15%) revealed the best pellets’ feedstock performance. The findings exhibited that lavender lignocellulosic residues are suitable for producing high-performance residential pellets, provided that the lavender content does not exceed 15% of the feedstock. Full article

This study established a novel detection method for volatile organic compounds in forest therapy tree species based on direct thermal desorption technology. The optimized parameters included 20 mg sample loading, 110 °C desorption temperature, 30 min desorption time, and 1:30 split ratio. The optimal loading was 5–65 mg to balance the separation resolution and detection sensitivity. Desorption temperature significantly affected component detection: terpenoids accounted for the highest proportion (82.0%) at 90 °C; alkanes surged to 53.3% at 150 °C; acids (19.0%) and esters (19.4%) became dominant; and ascorbyl dipalmitate (17.3%) exceeded linalool (14.6%) at 180 °C. Chemotype analysis revealed that camphor-type leaves were dominated by camphor (72.8%) while linalool-type leaves by linalool (54.3%). Compared with steam distillation, DTD increased the camphor/linalool extraction efficiency while eliminating solvent contamination. Relative to dynamic headspace sampling, DTD mitigated the environmental interference and reduced the pretreatment time. The study confirmed that 110 °C is the optimal temperature for maximized characterization of terpenoids (63.3%), providing technical support for selecting high-terpenoid-emitting trees in forest therapy and evaluating the therapeutic efficacy. It also reveals the linkages between leaf volatiles and stand-level air composition and promotes the development of dynamic forest VOC databases. Full article

High-efficiency design solutions for cogeneration steam power plants are studied for different steam consumer requirements (steam pressures between 3.6 and 40 bar and heat flow rates between 10 and 40% of the fuel heat flow rate into the steam generators). Using a genetic algorithm, optimum designs for schemes with extraction-condensing steam turbines, reheat, and supercritical parameters were found considering four objective functions (high global efficiency, low specific investment in equipment, high exergetic efficiency, and high power-to-heat ratio in full cogeneration mode). A second Pareto front was computed from the prior solutions, considering the first two objective functions, resulting in the high-efficiency cogeneration schemes with a primary energy savings (PES) ratio higher than 10%. The results showed that the PES ratio depends strongly on the steam consumer requirements, rising from values under 10% for low heat flow rates and few preheaters to over 25% for a higher number of preheaters, high heat flow rates, and low steam pressures to the consumer. At the same heat flow rate to the consumer, the power-to-heat ratio in full cogeneration mode increases with the decrease in the required steam pressure to the consumer. Full article

The estimation of leakage faults in evaporation tubes of supercharged boilers is crucial for ensuring the safe and stable operation of the central steam system. However, leakage faults of evaporation tubes feature high time dependency, strong coupling among monitoring parameters, and interference from noise. Additionally, the large number of monitoring parameters (approximately 140) poses a challenge for spatiotemporal feature extraction, feature decoupling, and establishing a mapping relationship between high-dimensional monitoring parameters and leakage, rendering the precise quantitative estimation of evaporation tube leakage extremely difficult. To address these issues, this study proposes a novel deep learning framework (LSTM-CNN–attention), combining a Long Short-Term Memory (LSTM) network with a dual-pathway spatial feature extraction structure (ACNN) that includes an attention mechanism(attention) and a 1D convolutional neural network (1D-CNN) parallel pathway. This framework processes temporal embeddings (LSTM-generated) via a dual-branch ACNN—where the 1D-CNN captures local spatial features and the attention models’ global significance—yielding decoupled representations that prevent cross-modal interference. This architecture is implemented in a simulated supercharged boiler, validated with datasets encompassing three operational conditions and 15 statuses in the supercharged boiler. The framework achieves an average diagnostic accuracy (ADA) of over 99%, an average estimation accuracy (AEA) exceeding 90%, and a maximum relative estimation error (MREE) of less than 20%. Even with a signal-to-noise ratio (SNR) of −4 dB, the ADA remains above 90%, while the AEA stays over 80%. This framework establishes a strong correlation between leakage and multifaceted characteristic parameters, moving beyond traditional threshold-based diagnostics to enable the early quantitative assessment of evaporator tube leakage. Full article

To investigate the impact of varying steaming durations on the flavor characteristics of mutton and carrot stuffing, dynamic changes in volatile organic compounds (VOCs) and fatty acids were analyzed using solid-phase micro-extraction gas chromatography–mass spectrometry (SPME-GC-MS) and gas chromatography–ion mobility spectrometry (GC-IMS). The results revealed a total of 116 VOCs identified throughout the steaming process, with 73 detected by GC-MS and 44 by GC-IMS. Notably, VOC concentrations were significantly higher at 18–24 min compared to 8–16 min. Additionally, a GC-IMS fingerprint was developed to assess the distribution of VOCs during steaming. Orthogonal partial least squares discriminant analysis (OPLS-DA) indicated that 11 compounds, such as ethyl caprylate (B3), linalyl acetate (B6), and 1-nonanal (C1), significantly influenced the flavor characteristics of the mutton and carrot filling. Further analysis demonstrated that stearic acid content reached its lowest point at 20–22 min of steaming, while n-6 and n-3 series polyunsaturated fatty acids (PUFAs) and the ratio of polyunsaturated fatty acids to saturated fatty acids (P/S) peaked at this time. Full article

The extraction processes for medicinal plants, particularly the distillation of aromatic plants, generate significant quantities of by-products, consisting of fibrous biomass and hydrosols. These by-products pose challenges for disposal and recovery. Consequently, it is imperative to make the entire highly energy-intensive process more sustainable by valorizing all derivatives. This study aims to recover polyphenols from the exhausted biomasses of Artemisia dracunculus, Echinacea purpurea, Helichrysum italicum (from the Asteraceae family), and Lavandula angustifolia, Lavandula × intermedia, Melissa officinalis, Salvia officinalis, Salvia sclarea, and Salvia rosmarinus (from the Lamiaceae family) after steam distillation. The residual biomasses were extracted using ethanol (conventional solvent) and different natural deep eutectic solvents (NADES) composed of choline chloride in combination with citric and lactic acids at different molar ratios. The NADES containing choline chloride and lactic acid at the molar ratio 1:1 (CLA11) exhibited the highest recovery of representative phenols of the plants, namely chicoric and rosmarinic acids. The CLA11 solvent demonstrated a stronger extractive capacity compared to ethanol in all the biomasses belonging to the Asteraceae and Lamiaceae families. Specifically, CLA11 extracts showed a higher number of compounds in UHPLC-HRMS and greater concentrations of chicoric and rosmarinic acids determined by HPLC-DAD than ethanol extracts. In conclusion, NADES were demonstrated to be a viable alternative system for the recovery of bioactive compounds that could be used to formulate new products for the food, pharmaceutical, and cosmetic industries. Moreover, the use of NADES can enhance the sustainability of the whole production chain of essential oils being environmentally friendly. Full article

The SAGP (steam and gas push) process is an effective enhanced oil recovery (EOR) method for heavy oil reservoirs. Understanding the microscopic interactions among steam, non-condensable gasses (NCGs), and heavy oil under reservoir conditions in SAGP processes is important for their EOR applications. In this study, molecular simulations were performed to investigate the microscopic interactions among steam, NCG, and heavy oil under reservoir conditions in SAGP processes. In addition, the microscopic EOR mechanisms during SAGP processes and the effects of operational parameters (NCG type, NCG–steam mole ratio, temperature, and pressure) were discussed. The results show that the diffusion and dissolution of CH₄ molecules and the extraction of steam molecules cause the molecules of saturates with light molecular weights in the oil globules to stretch and gradually detach from one another, resulting in the swelling of heavy oil. Compared with N₂, CH₄ has a stronger ability to diffuse and dissolve in heavy oil, swell the heavy oil, and reduce the density and viscosity of heavy oil. For this reason, compared with cases where N₂ is used, SAGP processes perform better when CH₄ is used, indicating that CH₄ can be used as the injected NCG in the SAGP process to improve heavy oil recovery. As the NCG–steam mole ratio and injection pressure increase, the diffusion and solubility abilities of CH₄ in heavy oil increase, enabling CH₄ to perform better in swelling the heavy oil and reducing the density and viscosity of heavy oil. Hence, increasing the NCG–steam mole ratio and injection pressure is helpful in improving the performance of SAGP processes in heavy oil reservoirs. However, the NCG–steam mole ratio and injection pressure should be reasonably determined based on actual field conditions because excessively high NCG–steam mole ratios and injection pressures lead to higher operation costs. Increasing the temperature is favorable for increasing the diffusion coefficient of CH₄ in heavy oil, swelling heavy oil, and reducing the oil density and viscosity. However, high temperatures can result in intensified thermal motion of CH₄ molecules, reduce the interaction energy between CH₄ molecules and heavy oil molecules, and increase the difference in the Hildebrand solubility parameter between heavy oil and CH₄–steam mixtures, which is unfavorable for the dissolution of CH₄ in heavy oil. This study can help readers deeply understand the microscopic interactions among steam, NCG, and heavy oil under reservoir conditions in SAGP processes and its results can provide valuable information for the actual application of SAGP processes in enhancing heavy oil recovery. Full article

Melaleuca quinquenervia is widely grown in tropical areas worldwide. Studies have demonstrated that extracts of its buds, leaves, and branches obtained through hydrodistillation, steam distillation, or solvent extraction exhibit physiological activities, including anti-melanogenic, antibacterial, and antioxidant properties; nevertheless, such extracts are mostly not effectively collected or adequately utilized. Accordingly, this study applied a rapid, effective, and easy-to-operate microwave-assisted water extraction (MAWE) technique for the first time to prepare M. quinquenervia leaf extract (MLE) with improved physiological activities. The results indicated that the optimal irradiation time and liquid/solid ratio for the production of the MLE were 180 s and 20 mL/g, respectively. Under optimal conditions, the freeze-dried MLE achieved a high yield (6.28% ± 0.08%) and highly effective broad-spectrum physiological activities. The MLE exhibited strong antioxidant, antiaging, and anti-inflammatory activities and excellent antityrosinase and antimicrobial activities. Additionally, the MLE was noncytotoxic at concentrations of ≤300 mg/L, at which it exhibited pharmacological activity. The results also indicated that the MLE comprised a total of 24 chemical compounds and 17 phenolic compounds. Among these compounds, luteolin contributed to antityrosinase activity. The extract’s antiaging activity was attributed to ellagic acid and quercetin, its anti-inflammatory activity resulted from ellagic acid and kaempferol, and its antimicrobial activity resulted from quercetin and 3-O-methylellagic acid. In conclusion, the MAWE-derived MLE may be useful as a functional ingredient in cosmetic products, health foods, and botanical drugs. Full article

Pulegone is a monoterpene ketone found in a variety of mint species. It has been classified as possibly carcinogenic to humans (Group 2B) by the International Agency for Research on Cancer (IARC). In previous studies, pulegone in food was analyzed exclusively via GC-MS, while ¹H NMR methods were limited to essential oils. The aim of this study was to develop an NMR method for the detection and quantification of pulegone in essential oils and foods. A mixture of methanol-d₄/chloroform-d₁ in a 1:1 ratio (v/v) was identified as the most effective solvent for separating pulegone signals. The essential oils were subjected to analysis at this solvent-mixture ratio. The extraction of pulegone was required for food analysis, and the steam distillation method proved to be more effective than the ultrasonic-assisted extraction method. The highest pulegone concentrations were identified in pennyroyal oil and muña oil, whereas lower levels were observed in other matrices, including corn mint oil and select food items. A toxicological assessment showed that the amount consumed did not exert any adverse effects on human health. Full article