Search Results (1,633)

Postharvest spoilage of fresh fruits demands efficient bio-based packaging films. Here, chitosan/gelatin (CG) films were incorporated with β-cyclodextrin-encapsulated clove essential oil microcapsules (β-CD@CEO MCs) at varying loadings. The results suggested that CEO encapsulation occurred within β-CD cavities and hydrogen-bond binding of MCs to the CG matrix. At 0.4% MCs, the composite film showed 60.11% higher tensile strength, excellent UV shielding, lower water vapor transmission rate, and strong antioxidant activity (DPPH 89.6%, ABTS 97.1), along with 58.21% biodegradation after 16 days of soil burial. In vitro release studies revealed a pH-responsive sustained release profile of CEO from the composite films, with faster release under acidic conditions (98.5% at pH 3.5 after 72 h) compared to neutral conditions (87.2% at pH 7.0), indicating the potential for targeted release on the weakly acidic grape surface. The film also exhibited significant antimicrobial effects against Botrytis cinerea, Penicillium gladioli, Staphylococcus aureus, and Escherichia coli. In table grape preservation, CG/MCs-0.4 film effectively delayed decay, reduced weight loss by 38.79%, maintained firmness and color, and preserved higher levels of soluble solids, titratable acidity, reducing sugars, and vitamin C compared to polyethylene packaging and untreated controls. Full article

Economically motivated adulteration of olive oil, coffee and fruit juice is a persistent food-fraud problem for which Fourier-transform infrared (FTIR) spectroscopy with chemometrics offers rapid screening. Linear partial least squares (PLS) is interpretable but cannot capture non-linear mixing; neural networks add flexibility at the cost of becoming black boxes. We evaluated a Kolmogorov–Arnold network (KAN), which places learnable univariate functions on its edges and is therefore intrinsically interpretable, against PLS, support-vector regression, random forests, a multilayer perceptron and a one-dimensional convolutional network on three attenuated total reflectance (ATR)–FTIR datasets (olive oil + sunflower oil, coffee + malt flour, orange juice + apple juice; approximately 350, 400 and 400 spectra). All models were compared under identical, leakage-free validation that splits spectra by physical sample. The compact KAN was consistently competitive (cross-validated coefficients of determination (R²) = 0.86, 0.93 and 0.69) and yielded closed-form equations whose variables map to recognised vibrational bands and whose importance ranking agrees with SHapley Additive exPlanations (SHAP; Spearman ρ = 0.86–0.90); symbolic conversion costs no accuracy. We also report the following limits: PLS was strongest where the chemistry was linear (coffee) and the multilayer perceptron was strongest on fruit juice, whose equation is the weakest (R² = 0.47–0.75 across seeds); a parameter-matched perceptron matched the KAN’s accuracy; and leave-one-brand-out validation degraded every model. The KAN is therefore a promising, compact and genuinely transparent alternative under controlled multi-matrix conditions, not a deployment-ready method. Full article

Crude oil distillation is often simulated with pseudo-components. This treatment is efficient, but it limits the prediction of molecular-level product information. In this work, a molecular-level model based on molecule-lump mapping was developed for crude oil distillation and applied to an atmospheric distillation column. The model was used to calculate molecular distributions in straight-run products and at individual column stages, providing molecular information for the distillation process. A crude oil molecular composition model was constructed from bulk-property data and used as the feed input. Crude oil molecules were grouped into molecular lumps according to boiling-point ranges, and a molecule-lump mapping matrix was established to record the molecular composition of each lump. A mechanistic column model was solved with the inside-out algorithm. The molecular lumping reduced the number of components used in column calculations while retaining the molecule-lump mapping needed to calculate the molecular compositions of the products. The model calculated stage temperatures, vapor and liquid compositions, product yields, product bulk properties, and molecular distributions. Compared with the experimental data, the calculated stage temperatures had an MAE of 4.15 °C. The RMSE values of the calculated distillation curves for the straight-run products ranged from 9.32 to 47.62 °C. These results show that the model can provide both bulk-property predictions and calculated molecular distributions for crude oil distillation process. Full article

Background/Objective: Mature oral biofilms resist conventional antiseptics via dense extracellular polymeric substance (EPS) matrices. Consequently, the prolonged use of broad-spectrum agents like chlorhexidine (CHX) raises profound ecological concerns. Using a mature oral microcosm biofilm model, we evaluated the multifaceted efficacy of 0.5% black cumin seed oil (BCSO) in disrupting structural biomass, suppressing aciduric bacterial viability, and attenuating porphyrin-associated anaerobic biofilm maturation. Methods: Saliva-derived microcosm biofilms were cultivated on hydroxyapatite discs in a mucin-containing medium (0.5% sucrose) for 6 days. Mature biofilms were treated daily for 1 min for 6 days (n = 19/group) with 0.5% BCSO, 0.12% CHX (positive control), or 0.5% dimethyl sulfoxide (negative control). EPS and bacterial biovolumes were quantified using confocal microscopy. Viability was strictly evaluated as aciduric bacterial colony-forming units. Pathogenic potential was specifically assessed as porphyrin-associated maturation by the red-to-green fluorescence intensity ratio (${\mathrm{Ratio}}_{\mathrm{R}/\mathrm{G}}$) using quantitative light-induced fluorescence-digital technology. Results: Compared with the negative control, 0.5% BCSO significantly degraded the EPS matrix (p < 0.001) and bacterial biovolumes (p = 0.045), and reduced aciduric bacterial counts (p = 0.028). Importantly, 0.5% BCSO significantly reduced the ${\mathrm{Ratio}}_{\mathrm{R}/\mathrm{G}}$ (p = 0.015), compared with the negative control, indicating severely attenuated porphyrin-associated anaerobic maturation. In the CHX group, the reduction did not reach statistical significance compared with the negative control (p = 0.399). Conclusions: In vitro, 0.5% BCSO and 0.12% CHX effectively reduced structural biomass and aciduric bacterial viability. Furthermore, BCSO significantly reduced late-stage, porphyrin-associated anaerobic maturation compared with the negative control, whereas the reduction observed with CHX did not reach statistical significance. These findings highlight the potential of BCSO as a targeted natural antibiofilm adjunct, warranting rigorous in vivo and mechanistic validation before clinical translation. Full article

Germanium is a critical rare-dispersed metal with irreplaceable applications in infrared optics, fiber-optic communications, and semiconductor industries, making its efficient recovery from secondary resources of great strategic importance. This study investigates the selective recovery of germanium from complex zinc smelting leachates using a novel hydroxamic acid extractant, BGYW, in synergistic combination with P204. The feed solution contained approximately 360 mg/L Ge, 10,790 mg/L Fe²⁺, and 98,530 mg/L Zn, representing a highly complex matrix. Continuous counter-current extraction was performed in a 30-stage miniature mixer-settler. Under optimized conditions of 10% BGYW + 5% P204 in white oil, an O/A ratio of 1:1, and 8 mol/L NH₄F as strippant, the single-stage germanium extraction efficiency reached 99.4%. Over 16 consecutive cycles, the extraction system maintained stable performance with average germanium extraction above 99%. A 3-stage scrubbing section using 50 g/L H₂SO₄ effectively removed co-extracted Zn, Cu, and Al impurities. Iron co-extraction, a major challenge, was successfully mitigated through a 2–3 stage iron scrubbing step using a chloride-containing scrubbing solution, which reduced the iron concentration in the strip liquor from approximately 600 mg/L to below 4 mg/L, and decreased the Fe/Ge mass ratio from 0.197 to below 0.01. The overall germanium recovery across the entire 30-stage continuous process reached 98.82%, and the dissolution loss of BGYW in the aqueous phase was reduced by over 85% compared to the conventional YW100 extractant. Third-phase formation caused by residual organic flocculants from the leaching step was eliminated through enhanced pre-treatment, while ferric fluoride precipitation in the stripping section was resolved by incorporating the iron scrubbing stage. This study demonstrates that the BGYW-P204 extraction system with the integrated iron scrubbing step offers an efficient, stable, and industrially viable approach for germanium recovery from zinc smelting leachates, providing a practical solution to the long-standing challenge of germanium–iron separation and contributing to the sustainable supply of this critical metal. Full article

Methanol is a critical molecular marker for the early aging of oil-paper insulation, and its rapid detection is highly valuable for insulation condition assessment and the fault warning of power transformers. Widely used chromatographic methods require sophisticated pretreatment workflow and are not suitable for in situ monitoring. Non-destructive spectroscopic methods remain challenging due to the intrinsically small cross section of trace molecules in complex liquid environments. The rapid, direct detection of trace methanol in an oil mixture has yet to be demonstrated. In this study, a high-performance Raman-enhancing substrate was developed through hierarchical microstructure regulation, combining microscale light-trapping structures and nanoscale field-confinement sites to sense the weak Raman response of methanol in transformer oil. Direct detection of ppm-level methanol in the oil matrix was achieved, without additional adsorption enrichment or other complicated pretreatment procedures. The characteristic Raman band of methanol in transformer oil was identified, and a quantitative sensing method was established. Furthermore, the intrinsic temperature-dependent Raman response of methanol was investigated to evaluate the stability of its characteristic fingerprint bands over a broad temperature range. This work demonstrates a rapid, sensitive, and pretreatment-free spectroscopic strategy for trace methanol detection in complex oil matrices, and also sheds light on the high-sensitivity detection of small molecular markers in complex liquid environments. Full article

The increasing prevalence of dermatophytosis and biofilm-associated infections highlights the need for new therapeutic approaches. This study evaluated the potential of Lavandula luisieri essential oil against clinically relevant dermatophytes. The essential oil obtained by hydrodistillation was chemically characterized by gas chromatography–mass spectrometry (GC–MS). Antifungal activity was assessed through determination of minimum inhibitory concentration (MIC) and minimum fungicidal concentration (MFC), while antibiofilm activity against Epidermophyton floccosum was evaluated by measuring biofilm biomass, extracellular matrix (ECM) deposition, and cell viability. An ex vivo model of Trichophyton rubrum-induced skin infection was used to assess efficacy under tissue-relevant conditions. The essential oil was mainly composed of oxygenated monoterpenes, with trans-α-necrodyl acetate (19.1%), lavandulyl acetate (13.6%), camphor (8.8%), 1,8-cineole (6.1%), and trans-α-necrodol (5.3%)as major constituents. The oil exhibited antifungal activity against all tested dermatophytes (MIC: 12.5–100 μg/mL), induced hyphal morphological alterations, significantly inhibited E. floccosum biofilm formation, particularly ECM deposition, and reduced fungal dissemination in the ex vivo skin model. These findings support the antidermatophytic and antibiofilm potential of L. stoechas subsp. luisieri essential oil, although further studies are required. Full article

Atlantic bonito (Sarda sarda) is a commercially important fish species with high nutritional value that is widely harvested along the Portuguese coast; however, it is highly susceptible to lipid oxidation and microbial deterioration during refrigerated storage. This study investigated the effectiveness of oregano oil (OO) emulsion coatings, with and without fish gelatin, to preserve quality and increase shelf life of Atlantic bonito fillets stored at 5 °C for 10 days. Emulsions were produced by high-intensity ultrasound treatment and subsequently, applied as surface coatings. Physicochemical, microbiological, and quality-related parameters, including pH, water activity, lipid oxidation, protein oxidation, color, and texture, were evaluated throughout storage. Water activity of the coated fillets remained stable (p > 0.05), whereas pH values remained below 6.0 until day 7. Coated fillets exhibited reduced oxidative deterioration and delayed microbial growth compared with uncoated fillets, with the 10% OO emulsion coating (OO₁₀) showing the higher effectiveness in maintaining color stability and limiting oxidation. The OO₁₀ emulsion coating with fish gelatin (FO₁₀) improved antimicrobial performance, although the gelatin matrix appeared to modulate the release of bioactive compounds from OO. Overall, OO emulsion coatings represent a promising natural preservation approach for extending the shelf life and maintaining the quality attributes of refrigerated fish products. Full article

In the development of carbonate reservoirs via water flooding huff-n-puff, the osmotic pressure effect is frequently overlooked, and existing models inadequately quantify the matrix imbibition and oil expulsion driven by salinity gradients. To address this issue, this study establishes a coupled oil–water two-phase huff-n-puff flow model for carbonate reservoirs that incorporates the interplay between salt concentration and osmotic pressure, which, for the first time, fully couples the van ’t Hoff osmotic pressure equation with solute transport equations for fractured-vuggy carbonate huff-n-puff, filling the gap that prior tight/shale reservoir low-salinity flow models fail to adapt to cyclic injection-soaking production regimes of carbonates. Based on the IMPES (implicit pressure–explicit saturation) numerical simulation method, an equivalent single-nucleus model is adopted to characterize the fractured-vuggy reservoir architecture. The model integrates the osmotic pressure formula, solute transport equation, and two-phase seepage governing equations, enabling a systematic analysis of the mechanisms by which osmotic pressure affects the multi-stage seepage process and the influence of key parameters on development performance. Quantitative simulation reveals three core laws controlled by salinity-induced osmosis: first, osmotic pressure drives water molecules to spontaneously migrate from the high-permeability fracture inner core toward the tight matrix pores, thereby modifying the water saturation distribution, expanding the water sweep region, and smoothing the saturation gradient between the inner and outer cores, which effectively mitigates water channeling in fractured reservoirs. Under the base case (injected water salinity = 1000 mg/L, inner-core permeability = 1000 mD, shut-in time = 80 d), the oil recovery factor with osmotic pressure considered reaches 13.46%, representing a 3.50% increment over the case without osmotic pressure. The recovery factor decreases monotonically with increasing injected water salinity, while it increases with longer shut-in time and higher inner-core permeability, both exhibiting pronounced diminishing marginal returns; the optimal shut-in time is approximately 80 d under the simulated conditions. This work delivers a fully coupled numerical tool and quantitative evaluation standard for osmotic imbibition mechanisms in fractured-vuggy carbonates. The quantified recovery increment and optimal soaking window established herein can directly guide field parameter optimization of injection water salinity, shut-in cycle and fracture reconstruction scale, balancing oil increment revenue and water treatment/well shutdown operation costs for on-site low-salinity huff-n-puff design. Full article

Curcuma longa is a medicinal plant valued for its diverse phytochemicals and antioxidant properties. However, the effects of thermal processing on its phytochemical composition and antioxidant function remain insufficiently understood. This study investigated heat-induced changes in curcuminoids, sesquiterpenoids, and their degradation products in C. longa extracts heated at 180 °C for 0–90 min under dry, aqueous, olive oil, and corn oil conditions using UHPLC–MS/MS and GC–MS. Curcuminoids progressively decreased during heating, whereas sesquiterpenoids exhibited greater thermal stability, particularly in oil matrices. Antioxidant properties were also better preserved in oil-treated extracts than in those heated under dry or aqueous conditions. However, in an oil-in-water emulsion system exposed to continuous LED illumination (14,600 lux), extracts obtained after dry heating accelerated lipid oxidation, as evidenced by enhanced oxygen depletion, hydroperoxide formation, and conjugated diene accumulation. This pro-oxidative effect was markedly suppressed by EDTA, suggesting the involvement of metal-mediated oxidation pathways. These findings demonstrate that thermal processing differentially alters the phytochemical profile and antioxidant properties of C. longa depending on the heating matrix, while highlighting that preserved antioxidant capacity does not necessarily translate into improved oxidative stability in illuminated emulsion systems. Full article

Rapid inversion of coarse-scale parameters is important for history matching in reduced-order reservoir models, yet conventional methods require repeated simulation and iterative updating. This study proposes a residual conditional generative adversarial network (Res-cGAN) to reconstruct structured control-pore-volume parameters from well liquid production rate (WLPR), well oil production rate (WOPR), and pressure responses. The methodological contribution is a response-conditioned inversion framework that directly maps multivariate production responses to the structured CPV representation, combining residual feature learning, cross-level feature fusion, conditional adversarial learning, and local matrix-continuity regularization. A dataset of 3000 samples was generated using the interwell numerical simulation model (INSIM), with training sets of 600, 1200, 1800, and 2400 samples and fixed validation and test sets of 300 samples each. Increasing the training size reduced mean squared error (MSE) from 0.0128 to 0.0059 and increased the coefficient of determination (R²) from 0.9120 to 0.9670. With 2400 training samples, Res-cGAN achieved an MSE of 0.0059, mean absolute error (MAE) of 0.0493, mean absolute percentage error (MAPE) of 5.18%, and R² of 0.9670, outperforming the baseline conditional GAN (Base-cGAN). These results suggest the potential of Res-cGAN for rapid post-training CPV initialization and candidate screening for reduced-order history matching workflows, while field validation and cross-reservoir testing remain necessary. Full article

A magnetic-levitation direct-drive oil-free scroll compressor (MLDD-OFSC) eliminates the anti-rotation mechanism to achieve oil-free operation. Still, its large-stroke planar motion introduces strong sensor–DOF coupling and air-gap-dependent stiffness variation that degrade fixed-gain PID performance. This paper proposes a control strategy integrating acceleration feedback linearization, gain-scheduled PID, and coordinate decoupling. An inverse electromagnetic force model is derived to compensate for the nonlinear force–air-gap relationship, linearizing the suspension dynamics. A phase-adaptive gain scheduling law is developed, where gains vary with trajectory phase via a cosine-based mapping. A homogeneous transformation matrix decouples raw sensor signals into independent X, Y, and yaw DOFs. Frequency-domain analysis at three air-gap positions confirms closed-loop stability. Simulations show that the proposed acceleration-linearized gain-scheduled PID (AL_GS_PID) outperforms traditional PID and fixed-gain AL_PID in tracking accuracy. Experiments demonstrate progressive improvement across four configurations—decentralized PID, decoupled PID, fixed-gain AL_PID, and AL_GS_PID—with the full scheme reducing peak errors to 0.043 mm in X and 0.04 mm in Y, corresponding to 74.7% and 33.3% reductions over decentralized PID. These results demonstrate that the proposed strategy effectively addresses coupling and stiffness variation in large-stroke maglev systems under no-load and light-load conditions. Full article

Particle-containing gels were functionalized with clove, peppermint, tea tree, sage, coconut, lemon, and eucalyptus oils to obtain a novel material for dental applications with improved cell interactions and antibacterial applications. Dried samples, SEM imaging, and elemental mapping revealed a homogeneous distribution of inorganic and organic components throughout the gel matrix. EDX and XPS investigations revealed changes in elemental composition and surface chemistry following the addition of essential oil. Also, FTIR spectroscopy revealed characteristic interactions between the silica-rich network and bioactive oil constituents through slight modifications. In contrast, UV–Vis and PL investigations showed differences in the optical behavior of the formulations. TG-DTA measurements with decomposition analysis revealed a noticeable increase in essential oils, which broadly influenced the chemical composition. Biological evaluation using L929 fibroblasts demonstrated >73% cell viability after 72 h in essential oil-containing structures, confirming proper cytocompatibility. The compatibility between the silica-based formulation and essential oils resulted in better cellular effects without compromising compatibility. Therefore, the promising potential of these multifunctional formulations for advanced oral care applications has been experimentally demonstrated and reported. Full article

To investigate the regulation mechanism of poly (alkyl methacrylate) (PMA) additives on the viscosity–temperature characteristics and tribological performance of different types of base oils, Group III mineral base oils and Group IV PAO synthetic base oils were selected as the research objects. Rheological and boundary-lubrication tests were systematically conducted at different PMA addition levels, with emphasis on comparatively analyzing the polymer conformational evolution, interfacial adsorption behavior, and lubrication-performance response induced by differences in the solvent polarity of the base oils. The results showed that the modification effect of PMA on base oils exhibited pronounced matrix dependence and non-monotonic concentration characteristics, and its lubrication-regulating behavior was dominated by the coupled trade-off among polymer solubility, molecular conformational stability, and interfacial competitive adsorption ability. In the mineral-oil system, where the base oil acts as a good solvent, the solubility parameters of PMA and the base oil are well matched, allowing the polymer molecular chains to sufficiently swell and extend and providing excellent adsorption and film-forming ability. With increasing PMA concentration, the viscous-flow activation energy of the oil continuously decreased, while the viscosity–temperature performance and boundary-lubrication stability were simultaneously improved, resulting in stable and reliable modification effects. In contrast, in the PAO synthetic-oil system, where the base oil acts as a poor solvent, the PMA molecular chains tend to adopt coiled conformations, with their conformations being highly sensitive to temperature and shear rate, while their interfacial adsorption ability is weaker than that of the base-oil molecules. An optimum critical PMA concentration of 1.0 wt% was observed in this system. Above this concentration, intramolecular friction increased, resulting in deterioration of both viscosity–temperature characteristics and friction performance. This study clarifies the differentiated modification mechanisms of PMA in base oils with different polarities and reveals the dominant role of solvent effects in polymer rheological and tribological behaviors, thereby addressing the insufficient understanding in existing studies of the non-monotonic modification behavior of PMA and its multi-factor coupled mechanism. The findings provide a theoretical basis for PMA structural selection and precise concentration formulation in lubricating oils under different operating conditions and have important engineering application value for optimizing viscosity–temperature performance over a wide temperature range, improving service stability under boundary lubrication, and balancing lubrication reliability with formulation economy. Full article

Tight conglomerate reservoirs in the Mahu area are characterized by strong heterogeneity, complex fracture–matrix interactions, and rapid pressure depletion after volumetric fracturing, which severely restricts the sustainable production of horizontal wells. To clarify the applicability of post-fracturing energy replenishment and enhanced oil recovery strategies, this study establishes single-fracture and field-scale numerical models for tight conglomerate reservoirs and systematically investigates the effects of gas injection timing, injection volume, fracture conductivity, injection media, gas–water ratio, and well-pattern cooperation on huff-n-puff performance. The results show that immediate gas injection after fracturing is not the optimal strategy because the injected gas mainly migrates through hydraulic fractures and has limited contact with matrix oil. For the base-case single-fracture model, a favorable injection timing was obtained when oil production entered a slow-decline stage and the reservoir pressure decreased to approximately 3–4 MPa below the bubble-point pressure, resulting in a simulated recovery-factor increase of 12.3% relative to the reference case. CO₂ shows strong advantages in oil swelling, viscosity reduction, diffusion, and extraction, whereas water injection provides more effective pressure maintenance. Therefore, a gas–water synergistic huff-n-puff mode can simultaneously improve matrix oil mobilization and reservoir energy replenishment. The optimal gas–water ratio should be dynamically adjusted during different cycles, with a higher CO₂ proportion in the early stage and an increased water slug proportion in later cycles to compensate for pressure depletion. At the field scale, a cooperative scheme of edge-water injection and central gas injection is proposed. Edge-water injection forms a high-pressure barrier that suppresses gas channeling, extends CO₂ retention time, and promotes deeper gas migration into the matrix. Field-scale simulation results indicate that this scheme increases the simulated cumulative oil production by 6.9% compared with the reference scheme. This study provides a practical gas–water synergistic development strategy for improving oil recovery in Mahu and similar tight conglomerate reservoirs. Full article