Properties Of Oil Research Articles

Nutritional and Medicinal Properties of Microbial Oil

Nutritional and Medicinal Properties of Microbial Oil

A Narrative Review of Metabolomic Insights into Olive Oil’s Nutritional Value

This review explores the critical role of advanced metabolomic methodologies in interpreting the complex relationship between the bioactive compounds in olive oil and their health benefits. Olive oil, the cornerstone of the Mediterranean diet, is renowned for its numerous health benefits, including anti-inflammatory, antioxidant, and cardioprotective properties. This review begins with an overview of the importance of olive oil for nutrition and health, followed by a detailed discussion of the key metabolites that contribute to its therapeutic potential. It further explores the evolution of analytical techniques in metabolomics from traditional methods to cutting-edge technologies, such as mass spectrometry and nuclear magnetic resonance spectroscopy, which have enhanced our understanding of the complex composition of olive oil. This review highlights how these advanced analytical findings correlate with the known health properties of olive oil and presents case studies in which these methodologies have led to new insights. Finally, we address the challenges in standardizing these techniques and discuss future research directions, underscoring the significance of metabolomics in nutritional science and public health. This comprehensive analysis aims to provide a deeper understanding of the health benefits of olive oil, informed by the latest advancements in analytical methodologies.

A constrained machine learning surrogate model to predict the distribution of water-in-oil emulsions in electrostatic fields

Accurately describing the evolution of water droplet size distribution in crude oil is fundamental for evaluating the water separation efficiency in dehydration systems. Enhancing the separation of an aqueous phase dispersed in a dielectric oil phase, which has a significantly lower dielectric constant than the dispersed phase, can be achieved by increasing the water droplet size through the application of an electrostatic field in the pipeline. Mathematical models, while being accurate, are computationally expensive. Herein, we introduced a constrained machine learning (ML) surrogate model developed based on a population balance model. This model serves as a practical alternative, facilitating fast and accurate predictions. The constrained ML model, utilizing an extreme gradient boosting (XGBoost) algorithm tuned with a genetic algorithm (GA), incorporates the key parameters of the electrostatic dehydration process, including droplet diameter, voltage, crude oil properties, temperature, and residence time as input variables, with the output being the number of water droplets per unit volume. Furthermore, we modified the objective function of the XGBoost algorithm by incorporating two penalty terms to ensure the model’s predictions adhere to physical principles. The constrained model demonstrated accuracy on the test set, with a mean squared error of 0.005 and a coefficient of determination of 0.998. The efficiency of the model was validated through comparison with the experimental data and the results of the population balance mathematical model. The analysis shows that the initial droplet diameter and voltage have the highest influence on the model, which aligns with the observed behaviour in the real-world process.

Biological Activity and Phytochemical Characteristics of Star Anise (Illicium verum) Essential Oil and Its Anti-Salmonella Activity on Sous Vide Pumpkin Model

Illicium verum, commonly known as star anise, represents one of the notable botanical species and is recognized for its rich reservoir of diverse bioactive compounds. Beyond its culinary application as a spice, this plant has been extensively utilized in traditional medicine. Given the contemporary emphasis on incorporating natural resources into food production, particularly essential oils, to enhance sensory attributes and extend shelf life, our study seeks to elucidate the chemical composition and evaluate the antibacterial (in vitro, in situ) and insecticidal properties of Illicium verum essential oil (IVEO). Also, microbiological analyses of pumpkin sous vide treated with IVEO after inoculation of Salmonella enterica were evaluated after 1 and 7 days of study. GC/MS analysis revealed a significantly high amount of (E)-anethole (88.4%) in the investigated EO. The disc diffusion method shows that the antibacterial activity of the IVEO ranged from 5.33 (Streptococcus constellatus) to 10.33 mm (Citrobacter freundii). The lowest minimal inhibition concentration was found against E. coli and the minimum biofilm inhibition concertation was found against S. enterica. In the vapor phase, the best antimicrobial activity was found against E. coli in the pears model and against S. sonei in the beetroot model. The application of the sous vide method in combination with IVEO application decreased the number of microbial counts and eliminated the growth of S. enterica. The most isolated microbiota identified from the sous vide pumpkin were Bacillus amyloliquefaciens, B. cereus, B. licheniformis, and Ralstonia picketii. Modifications to the protein composition of biofilm-forming bacteria S. enterica were suggested by the MALDI TOF MS instigations. The IVEO showed insecticidal potential against Harmonia axyridis. Thanks to the properties of IVEO, our results suggest it can be used in the food industry as a natural supplement to extend the shelf life of foods and as a natural insecticide.

Essential oil of Lippia multiflora Moldenke Flowers Quenches Pseudomonas aeruginosa PAO1 Biofilm Formation and Motilities

Bacteria use different types of motilities in order to colonize and adapt to new environments. These motilities also play an important role in the formation of biofilm, allowing bacteria to develop resistance to antibiotics and host’s immune systems. The objective of this study was to evaluate the ability of essential oils of Lippia multiflora flowers to inhibit biofilm formation and motility in Pseudomonas aeruginosa PAO1. The capacity of essential oil of Lippia multiflora flowers to inhibit biofilm formation in Pseudomonas aeruginosa was evaluated spectrophotometrically by using the crystal violet method. The property of the essential oil to inhibit different types of motilities such as swimming, swarming and twitching was further evaluated by measuring the diameters of bacterial migration on liquid or semi-liquid Luria Bertani agar medium. The essential oil exhibited good anti-biofilm activity in Pseudomonas aeruginosa. At a concentration of 1%, essential oil presented a degree of biofilm inhibition similar to that of salicylic acid used as a reference (P > 0.05). In addition, the essential oil significantly inhibited swarming, twitching and swimming in Pseudomonas aeruginosa compared to the control (P < 0.001). The inhibition of biofilm formation as well as that of bacterial motility increases with the concentration of the essential oil. The essential oil of Lippia multiflora flowers possesses an anti-bacterial potential to fight against multi-resistant bacteria.

Numerical investigation on dynamic characteristics of oil-water annular flow-induced vibration in curved pipes

To improve the stability of water-lubricated transportation and reliability of pipes in service, the fluid–structure interaction numerical model has been established to investigate the dynamic characteristics of oil-water annular flow-induced vibration in curved pipes and the effect of main parameters in this study. The results illustrate that a single vibration mode of curved pipes is excited by oil-water annular flow, and there exists no multi-modality due to the limited pulsation of pressure and interface of two-phase flow. The change of velocities and oil-water ratios leads to change of flow pattern, making the dynamic response severer. When the oil-water ratio is larger than 2.035, its effect is greater than velocity. The physical properties of oil have a significant effect on the dynamic response. The root-mean-square dimensionless displacement AY,RMS/D and maximum dimensionless displacement AY,MAX/D of fuel oil-water annular flow-induced vibration decrease to 75.6% and 76.5% respectively, which means that the increase of dynamic viscosity reduces the fluid force and suppresses the vibration. AY,RMS/D and AY,MAX/D increases by 1.62 times when the bending angle θ increases from 30° to 90°, indicating that the increase of bending angles also leads to the severer dynamic response.

PERFORMANCE EVALUATION AND ECONOMIC ASSESSMENT IN ELECTRICAL DISCHARGE MACHINING OF SS316 USING GRAPHITE POWDER DISPERSED IN BIODEGRADABLE PALM OIL DIELECTRIC

In today’s rapidly evolving manufacturing industry, researchers and engineers are constantly seeking innovative methods to improve machining processes. One such area of interest is the use of electrical discharge machining (EDM) for difficult-to-machine metals like SS316. This research compares the performance and economic aspects of traditional EDM and powder-mixed EDM when machining SS316 using copper electrode. Graphite powder dispersed in biodegradable palm oil is investigated as a dielectric media with the aim of enhancing EDM performance. According to the findings, the analysis of the cutting performance of different machinability aspects revealed that using graphite powder mixed with palm oil as a dielectric in EDM outperformed conventional EDM relating to material removal, surface finish, surface hardness, electrode wear rate and hole overcut. The flushing condition and unique properties of graphite powder and palm oil, such as cooling, and thermal conductivity, contributed to the improved performance observed in EDM processes. These findings highlight the potential of graphite powder mixed with palm oil as a promising alternative dielectric in EDM, offering enhanced machining capabilities and improved surface quality. The total machining expenditure per part under PMEDM (INR 505.50) is lowered by 9.2% than expenditure under conventional EDM (INR 525). The surface microhardness of the machined component attained using graphite powder-mixed EDM is enhanced in comparison to that achieved using standard EDM due to the creation of a carbon-rich re-solidified layer.

A review of the flow characteristics of shale oil and the microscopic mechanism of CO2 flooding by molecular dynamics simulation

Shale oil is stored in nanoscale shale reservoirs. To explore enhanced recovery, it is essential to characterize the flow of hydrocarbons in nanopores. Molecular dynamics simulation is required for high-precision and high-cost experiments related to nanoscale pores. This technology is crucial for studying the kinetic characteristics of substances at the micro- and nanoscale and has become an important research method in the field of micro-mechanism research of shale oil extraction. This paper presents the principles and methods of molecular dynamics simulation technology, summarizes common molecular models and applicable force fields for simulating shale oil flow and enhanced recovery studies, and analyzes relevant physical parameters characterizing the distribution and kinetic properties of shale oil in nanopores. The physical parameters analyzed include interaction energy, density distribution, radial distribution function, mean-square displacement, and diffusion coefficient. This text describes how molecular dynamics simulation explains the mechanism of oil driving in CO2 injection technology and the factors that influence it. It also summarizes the advantages and disadvantages of molecular dynamics simulation in CO2 injection for enhanced recovery of shale oil. Furthermore, it presents the development trend of molecular dynamics simulation in shale reservoirs. The aim is to provide theoretical support for the development of unconventional oil and gas.

MDs-NP: a property prediction model construction procedure for naphtha based on molecular dynamics simulation

In the context of carbon neutrality and carbon peaking, molecular management has become a focus of the petrochemical industry. The key to achieving molecular management is molecular reconstruction, which relies on rapid and accurate calculation of oil properties. Focusing on naphtha, we proposed a novel property prediction model construction procedure (MDs-NP) employing molecular dynamics simulations for property collections and gamma distribution from real analytical data for calculating mole fractions of simulation mixtures. We calculated 348 sets of mixture properties data in the range of 273 K–300 K by molecular dynamics simulations. Molecular feature extraction was based on molecular descriptors. In addition to descriptors based on open-source toolkits (RDKit and Mordred), we designed 12 naphtha knowledge (NK) descriptors with a focus on naphtha. Three machine learning algorithms (support vector regression, extreme gradient boosting and artificial neural network) were applied and compared to establish models for the prediction of the density and viscosity of naphtha. Mordred and NK descriptors + support vector regression algorithm achieved the best performance for density. The selected RDKFp and NK descriptors + artificial neural network algorithm achieved the best performance for viscosity. Using ablation studies, T, P_w and CC(C)C are three effective descriptors in NK that can improve the performance of the property prediction models. MDs-NP has the potential to be extended to more properties as well as more-complex petroleum systems. The models from MDs-NP can be used for rapid molecular reconstruction to facilitate construction of data-driven models and intelligent transformation of petrochemical processes.

Exploring miRNA-target modules in Paeonia lactiflora stamen petalization through integrated miRNAome, transcriptome, and degradome analysis

Variation in floral organ number in plants is triggered by extremely complex transcriptional and post-transcriptional regulatory processes. MicroRNAs (miRNAs) play a pivotal role in the post-transcriptional regulation of floral organs. Paeonia lactiflora Pall., originating from China, is a precious herbaceous plant with ornamental, medicinal, and oil properties. Building on previous transcriptional studies, this work examined post-transcriptional regulation of peony stamen petalization using critical-stage flower buds. Using high-throughput small RNA sequencing, a miRNA expression profile was constructed. This was used to identify 10 known, 334 conserved, and 255 novel miRNAs, 155, 151, and 44 of which were differentially expressed at three developmental stages (stamen primordium, stamen primordium partly petaloid, and stamen primordium completely petaloid). Degradome analysis identified 55 miRNAs and 127 potential target genes. A miRNA-target network suggested that miR172-PlRAP2, miR160-PlARF, miR396-PlGRF, miR319-PlTCP4, and miR384\\394-PlFBOX modules are key regulators of peony stamen petalization. The regulation of miR319 and PlTCP4 during peony flower development was validated through transient expression in tobacco. This study provides insight into miRNA-mediated regulation of petalized stamen formation in herbaceous peony and refines the post-transcriptional network at critical stages of this process.

Essential Oil Constituents as Anti-Inflammatory and Neuroprotective Agents: An Insight through Microglia Modulation

Microglia are key players in the brain’s innate immune response, contributing to homeostatic and reparative functions but also to inflammatory and underlying mechanisms of neurodegeneration. Targeting microglia and modulating their function may have therapeutic potential for mitigating neuroinflammation and neurodegeneration. The anti-inflammatory properties of essential oils suggest that some of their components may be useful in regulating microglial function and microglial-associated neuroinflammation. This study, starting from the ethnopharmacological premises of the therapeutic benefits of aromatic plants, assessed the evidence for the essential oil modulation of microglia, investigating their potential pharmacological mechanisms. Current knowledge of the phytoconstituents, safety of essential oil components, and anti-inflammatory and potential neuroprotective effects were reviewed. This review encompasses essential oils of Thymus spp., Artemisia spp., Ziziphora clinopodioides, Valeriana jatamansi, Acorus spp., and others as well as some of their components including 1,8-cineole, β-caryophyllene, β-patchoulene, carvacrol, β-ionone, eugenol, geraniol, menthol, linalool, thymol, α-asarone, and α-thujone. Essential oils that target PPAR/PI3K-Akt/MAPK signalling pathways could supplement other approaches to modulate microglial-associated inflammation to treat neurodegenerative diseases, particularly in cases where reactive microglia play a part in the pathophysiological mechanisms underlying neurodegeneration.

Synergistic Effect of Acrylate of Dialkyl Dithiophosphoric Acid Combined with Molybdenum Dialkyl Dithiocarbamate as Additives in Gear Oil

With the aim of improving the tribological properties of low-viscosity gear oil for automobiles, an acrylate of dialkyl dithiophosphoric acid (ADDP) with strong polar groups was synthesized. The tribological behavior of ADDP combined with molybdenum dialkyl dithiocarbamate (MoDTC) in gear oil was systematically studied. Tribological performances of gear oil containing different additives were assessed using a four-ball friction and wear tester. The obtained tribological characteristics reveal that ADDP and MoDTC can significantly improve the antiwear and antifriction performance of low-viscosity gear oil. Moreover, compared with using MoDTC or ADDP alone, the average friction coefficient and wear scar diameter of ADDP combined with MoDTC further decreased by 2.41–19.15% and 5.00–18.19%, respectively. Analysis of the worn surface showed that the structural characteristics and physical synergistic lubricating actions of the ADDP with MoDTC additives during the friction process can contribute to the exceptional tribological properties of the hybrid additives.

Connectedness of cryptocurrency markets to crude oil and gold: an analysis of the effect of COVID-19 pandemic

The notion that investors shift to gold during economic market crises remains unverified for many cryptocurrency markets. This paper investigates the connectedness between the 10 most traded cryptocurrencies and gold as well as crude oil markets pre-COVID-19 and during COVID-19. Through the application of various statistical techniques, including cointegration tests, vector autoregressive models, vector error correction models, autoregressive distributed lag models, and Granger causality analyses, we explore the relationship between these markets and assess the safe-haven properties of gold and crude oil for cryptocurrencies. Our findings reveal that during the COVID-19 pandemic, gold is a strong safe-haven for Bitcoin, Litecoin, and Monero while demonstrating a weaker safe-haven potential for Bitcoin Cash, EOS, Chainlink, and Cardano. In contrast, gold only exhibits a strong safe-haven characteristic before the pandemic for Litecoin and Monero. Additionally, Brent crude oil emerges as a strong safe-haven for Bitcoin during COVID-19, while West Texas Intermediate and Brent crude oils demonstrate weaker safe-haven properties for Ether, Bitcoin Cash, EOS, and Monero. Furthermore, the Granger causality analysis indicates that before the COVID-19 pandemic, the causal relationship predominantly flowed from gold and crude oil toward the cryptocurrency markets; however, during the COVID-19 period, the direction of causality shifted, with cryptocurrencies exerting influence on the gold and crude oil markets. These findings provide subtle implications for policymakers, hedge fund managers, and individual or institutional cryptocurrency investors. Our results highlight the need to adapt risk exposure strategies during financial turmoil, such as the crisis precipitated by the COVID-19 pandemic.

Biologically active sodium pentaborate pentahydrate and Hypericum perforatum oil loaded poly vinyl alcohol: chitosan membranes

In this study, sodium pentaborate pentahydrate (NaB) and Hypericum perforatum (HP) oil were incorporated into polyvinyl alcohol (PVA) and chitosan (CH) polymer blend to obtain membranes by solution casting method. In order to see the synergistic effects of NaB and HP oil on the biological and physical properties of the membranes NaB and HP oil were incorporated into membrane matrix in different ratios. Fourier-transform infrared spectroscopy (FTIR) results showed that no significant bond formation between the bioactive components and the PVA:CH matrix. According to mechanical test results, Young's Modulus and elongation at break decreased from 426 MPa to 346 MPa and 52.23 % to 15.11 % for neat PVA:CH membranes and NaB and HP oil incorporated PVA:CH (PVA:CH@35NaB:HP) membranes, respectively. Antimicrobial activity tests have shown the membranes were over 99 % effective against Escherichia coli, Staphylococcus aureus, and Candida albicans, underlining their potential for infection control. Cytocompatibility assay performed with Human Dermal Fibroblast (HDFa) cells highlight the biocompatibility of the membranes, revealing 74.84 % cell viability after 72 h. The properties of NaB and HP oil doped PVA:CH based membranes obtained from these experiments reveal the promise of a versatile membrane for applications in wound healing, tissue engineering and other biomedical fields.

Effect of extraction methods on functional properties of plant proteins: A review

Effect of extraction methods on functional properties of plant proteins: A review

Physicochemical Properties of African Black Soap Prepared with Alkali Derived from (Empty) Oil Palm Fruit Bunches

The use of oil palm biomass in black soap production was carried out. The soap was prepared using different oils; Palm kernel oil (PKO), Tallow oil (TO), Palm oil (PO), Palm fatty acid distillate (PFAD) and their blends (PKO:PFAD:TO:PO) at 0.5 ratio each. The physiochemical properties of the different oils and their blends were studied. The moisture content, bulk density, foaming stability, pH, solubility of metallic salts and surface tension of the different black soaps produced were analyzed. The results of the oils and their blends had free fatty acid values between (2.56 - 49.48) %, saponification values of (231.4 - 450.20) KOH/g and relative densities of (0.97-1.008) g/ml. The results indicated that the moisture content ranged from (6.0 -7.4) % for all soaps, with the lowest (6.0%) observed in PKO, the highest (7.4%) observed in soaps made with PO and PKO:PFAD:TO:PO blends. The bulk density of the soaps ranged from (0.55 - 0.94) g/cm3. The PKO: PFAD soap had the highest foam stability of 7.4cm and PKO soap (2.08cm) the lowest. The soap produced with various oils and their blends showed a neutral pH in the range of 7.25 -7.38. The metallic salts NaCl, KCl and HgCl2 were soluble in the soap solution with no precipitate formed while MnCl2, PbCl3, and CuCl2 salts precipitated out of the soap solution. The surface tension of water was lowered at different rates by the soaps. The black soap produced with the oils and their blends met the standard quality specification for commercial soaps within the geographical area of manufacture.

Characterization of physiochemical and thermo oxidative properties of inaja fruit oil (Maximiliana maripa)

Characterization of physiochemical and thermo oxidative properties of inaja fruit oil (Maximiliana maripa)

Combining the pharmaceutical and toxicological properties of select essential oils with their chemical components by GC-MS analysis.

In the current investigation, a comprehensive analysis was carried out on essential oils (Eos) extracted from six aromatic plant species, namely Rosmarinus officinalis, Pelargonium graveolens, Thymus vulgaris, Origanum vulgare, Laurus nobilis, and Aloysia citrodora. An exploration was conducted into the chemical composition using Gas Chromatography-Mass Spectrometry (GC/MS), antioxidant properties assessed through DPPH, ABTS, CUPRAC, FRAP, MCA, and PBD assays, ecotoxicological impacts evaluated via allelopathy and the Daphnia magna heartbeat test, as well as bio-pharmacological effects including anticancer activity and gene expression analysis. Results revealed strong antioxidant activity in all essential oils, with T. vulgaris EO (2748.00 mg TE/g) and O. vulgare EO (2609.29 mg TE/g) leading in CUPRAC assay. R. officinalis EO showed the highest α-amylase inhibition at 1.58 mmol ACAE/g, while O. vulgare EO excelled in α-glucosidase inhibition at 1.57 mmol ACAE/g. Additionally, cytotoxic effects were evaluated on human colorectal cancer (HCT116) cells. A. citrodora, O. vulgare, and R. officinalis EOs were found the most potent anticancer, as also witnessed by their higher modulatory effects on the gene expression of BAX and Bcl-2. Collectively, the present data highlight the importance to implement the knowledge and to valorise the chain of aromatic plants.

Coconut-sourced MCT oil: its potential health benefits beyond traditional coconut oil

AbstractPlant dietary lipids remain one of the most intriguing and complex classes of biological molecules. Among them, medium-chain triglycerides (MCTs) have garnered recognition for their unique physico-chemical properties and potential health benefits. Despite their classification as saturated fats, they stand apart from other saturated fatty acids due to their distinctive characteristics, positioning them as a valuable component in nutrition. While traditional dietary fats primarily contain long-chain triglycerides (LCTs), MCTs consist of medium-chain fatty acids (MCFAs), naturally found in coconut and palm oils. The structural dissimilarity grants MCTs advantageous attributes, encompassing rapid digestion and absorption, providing a swift source of energy. Importantly, MCT oil derived from coconuts surpasses traditional coconut oil in efficiency and speed of energy conversion due to its higher concentration of readily metabolizable MCTs, making it a superior choice in human nutrition. This comprehensive study delves deeply into the potential of coconut-derived MCT oil, illuminating its chemical constituents, production from coconut oil, distinctive physical and chemical properties, and metabolic characteristics. Additionally, it highlights a range of potential biological activities of the oil, including its efficacy in managing gastrointestinal disorders and promising roles in anticancer, neuroprotective, and antimicrobial effects. The report also discusses the extensive applications of MCT oil across diverse industrial and technological sectors, as well as its utilization in structured lipids, oleogels, and as a carrier for capsaicin. Addressing safety concerns and providing dosage guidelines, this paper emphasizes MCT oil as an alternative to coconut oil in various applications, offering a holistic perspective on its benefits.

Fabrication of biopolymer stabilized microcapsules for enhancing physicochemical stability, antioxidant and antimicrobial properties of cinnamon essential oil

The current study entails the encapsulation validity to enclose naturally occurring food preservatives, such as cinnamon essential oil (CM), within various wall materials. This approach has demonstrated enhanced encapsulated compounds' stability, efficiency, and bioactivity. The base carrier system consisted of a solid lipid (Berry wax, RW) individually blended with whey protein (WYN), maltodextrin (MDN), and gum Arabic (GMC) as wall materials. The resulting formulations were freeze-dried: WYN/RW/CM, MDN/RW/CM, and GMC/RW/CM. The study comprehensively analyzed encapsulation efficiency, morphology, crystallinity, thermal, and physiochemical properties. When RW was combined with WYN, MDN, and GMC, the microcapsule WYN/RW/CM showed the highest efficiency at 93.4 %, while the GMC/RW/CM exhibited the highest relative crystallinity at 46.54 %. Furthermore, the investigation assessed storage stability, release of bioactive compounds, and oxidative stability during storage at 4 °C/ 25 % RH ± 5 % and 25 °C/40 % RH ± 5 % for 55 days, revealing optimal stability in the WYN/RW/CM microcapsule. Additionally, the antimicrobial activity was assessed at various concentrations of microcapsules, revealing their inhibitory effect against Escherichia coli (gram-negative) and Staphylococcus aureus (gram-positive) bacteria. The WYN/RW/CM microcapsule exhibited the highest inhibition activity in both strains, reaching 40 mm. This study demonstrates that combining WYN with RW as a wall material has greater efficiency in encapsulation and potential uses in various industrial sectors.