Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

Article Types

Countries / Regions

Search Results (42)

Search Parameters:
Keywords = oil depot

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
20 pages, 10457 KiB  
Article
Unveiling the Regulatory Mechanism of Tibetan Pigs Adipogenesis Mediated by WNT16: From Differential Phenotypes to the Application of Multi-Omics Approaches
by Qiuyan Huang, Kunli Zhang, Fanming Meng, Sen Lin, Chun Hong, Xinming Li, Baohong Li, Jie Wu, Haiyun Xin, Chuanhuo Hu, Xiangxing Zhu, Dongsheng Tang, Yangli Pei and Sutian Wang
Animals 2025, 15(13), 1904; https://doi.org/10.3390/ani15131904 - 27 Jun 2025
Viewed by 383
Abstract
The aim of this study is to investigate the physiological characteristics and regulatory mechanisms of porcine intramuscular fat (IMF), subcutaneous fat (take back fat (BF), for example), and visceral fat (take perienteric fat (PF), for example) to address the challenge of optimizing meat [...] Read more.
The aim of this study is to investigate the physiological characteristics and regulatory mechanisms of porcine intramuscular fat (IMF), subcutaneous fat (take back fat (BF), for example), and visceral fat (take perienteric fat (PF), for example) to address the challenge of optimizing meat quality without excessive fat deposition. Many improved breed pigs have fast growth rates, high lean meat rates, and low subcutaneous fat deposits, but they also have low IMF content, resulting in poor meat quality. There is usually a positive correlation between intramuscular fat and subcutaneous fat deposits. This study selected eight-month-old female Tibetan pigs as experimental subjects. After slaughter, fat samples were collected. Histological differences in adipocyte morphology were observed via hematoxylin–eosin (HE) staining of tissue sections, and phenotypic characteristics of different adipose tissues were analyzed through fatty acid composition determination. Transcriptome sequencing and untargeted metabolomics were employed to perform pairwise comparisons between different fatty tissues to identify differentially expressed genes and metabolites. A siRNA interference model was constructed and combined with Oil Red O staining and lipid droplet optical density measurement to investigate the regulatory role of WNT16 in adipocyte differentiation. Comparative analysis of phenotypic and fatty acid composition differences in adipocytes from different locations revealed that IMF adipocytes have significantly smaller areas and diameters compared to other fat depots and contain higher levels of monounsaturated fatty acids. Integrated transcriptomic and metabolomic analyses identified differential expression of WNT16 and L-tyrosine, both of which are involved in the melanogenesis pathway. Functional validation showed that inhibiting WNT16 in porcine preadipocytes downregulated adipogenic regulators and reduced lipid droplet accumulation. This cross-level regulatory mechanism of “phenotype detection–multi-omics analysis–gene function research” highlighted WNT16 as a potential key regulator of site-specific fat deposition, providing new molecular targets for optimizing meat quality through nutritional regulation and genetic modification. Full article
(This article belongs to the Section Pigs)
Show Figures

Figure 1

18 pages, 5434 KiB  
Article
Research on Export Oil and Gas Concentration Prediction Based on Machine Learning Methods
by Xiaochuan Wang, Baikang Zhu, Huajun Zheng, Jiaqi Wang, Zhiwei Chen and Bingyuan Hong
Energies 2025, 18(5), 1078; https://doi.org/10.3390/en18051078 - 23 Feb 2025
Viewed by 575
Abstract
With the oil industry’s increasing focus on environmental protection and the growing implementation of oil and gas recovery devices in depots, it is crucial to investigate the outlet concentrations of oil and gas from these devices. This research aims to reduce energy consumption [...] Read more.
With the oil industry’s increasing focus on environmental protection and the growing implementation of oil and gas recovery devices in depots, it is crucial to investigate the outlet concentrations of oil and gas from these devices. This research aims to reduce energy consumption while enhancing the efficiency of oil and gas recovery processes. This paper investigates the prediction of outlet oil and gas concentration based on the process parameters of oil and gas recovery devices in oil depots. This study employs both regression and classification machine learning models. Most regression models achieve a goodness-of-fit of approximately 0.9 and an accuracy error of about 30%. Additionally, most classification models attain over 90% accuracy, with predictions of high oil and gas concentrations reaching up to 84.5% accuracy. Both models demonstrate that the Random Forest method is more effective in predicting the exported oil and gas concentration with multiple-parameter inputs, providing a relevant basis for subsequent control of exported oil and gas concentration. Full article
(This article belongs to the Section K: State-of-the-Art Energy Related Technologies)
Show Figures

Figure 1

19 pages, 7885 KiB  
Article
An Improved Method for Human Activity Detection with High-Resolution Images by Fusing Pooling Enhancement and Multi-Task Learning
by Haoji Li, Shilong Ren, Lei Fang, Jinyue Chen, Xinfeng Wang, Guoqiang Wang, Qingzhu Zhang and Qiao Wang
Remote Sens. 2025, 17(1), 159; https://doi.org/10.3390/rs17010159 - 5 Jan 2025
Viewed by 1129
Abstract
Deep learning has garnered increasing attention in human activity detection due to its advantages, such as not relying on expert knowledge and automatic feature extraction. However, the existing deep learning-based approaches are primarily confined to recognizing specific types of human activities, which hinders [...] Read more.
Deep learning has garnered increasing attention in human activity detection due to its advantages, such as not relying on expert knowledge and automatic feature extraction. However, the existing deep learning-based approaches are primarily confined to recognizing specific types of human activities, which hinders scientific decision-making and comprehensive environmental protection. Therefore, there is an urgent need to develop a deep learning model to address multiple-type human activity detection with finer-resolution images. In this study, we proposed a new multi-task learning model (named PE-MLNet) to simultaneously achieve change detection and land use classification in GF-6 bitemporal images. Meanwhile, we also designed a pooling enhancement module (PEM) to accurately capture multi-scale change details from the bitemporal feature maps through combining differencing and concatenating branches. An independent annotated dataset at Yellow River Delta was taken to examine the effectiveness of PE-MLNet. The results showed that PE-MLNet exhibited obvious improvements in both detection accuracy and detail handling compared with other existing methods. Further analysis uncovered that the areas of buildings, roads, and oil depots has obviously increased, while the farmland and wetland areas largely decreased over the five years, indicating an expansion of human activities and their increased impacts on natural environments. Full article
Show Figures

Figure 1

18 pages, 1777 KiB  
Article
An Injectable Oil-Based Depot Formulation of N-Acyloxymethyl Prodrug of Ropivacaine for Long-Acting Local Analgesia: Formulation Development and In Vitro/In Vivo Evaluation
by Xiaowei Liu, Ruihan Zhao, Peijie Xu, Jianqiang Qian, Peiyan Zhang, Xudong Xie, Yong Ling, Qimin Ge and Yong Chen
Pharmaceutics 2025, 17(1), 37; https://doi.org/10.3390/pharmaceutics17010037 - 30 Dec 2024
Viewed by 1570
Abstract
Objectives: The development of novel long-acting injectables for local anesthetics is necessary to effectively manage the acute postoperative pain. The aim of this study was to prepare an injectable oil-based formulation of ropivacaine (ROP) prodrug (ropivacaine stearoxil, ROP-ST) and to investigate the pharmacokinetics [...] Read more.
Objectives: The development of novel long-acting injectables for local anesthetics is necessary to effectively manage the acute postoperative pain. The aim of this study was to prepare an injectable oil-based formulation of ropivacaine (ROP) prodrug (ropivacaine stearoxil, ROP-ST) and to investigate the pharmacokinetics and pharmacodynamics after injectable administration. Methods: A novel N-acyloxymethyl prodrug of ROP, i.e., ROP-ST, was synthesized and its physicochemical properties such as log P, solubility and stability characterized. A soybean oil-based depot of ROP-ST was prepared, and the in-vitro release of ROP-ST was evaluated using an “inverted-cup” method. Pharmacokinetic profiles and tissue retention properties were investigated after intramuscular administration of the formulation in rats. The analgesic efficacy was assessed via a von Frey monofilaments test by measuring the paw withdrawal thresholds. Results: The structure of ROP-ST was ascertained with clear 1H NMR assignment and accurate mass-to-charge ratio. The high Log P value of ROP-ST (9.16) demonstrated extremely low aqueous solubility, but the prodrug is biolabile when in contact with plasma or liver esterase. Intramuscular injection of ROP-ST oil solution in rats provided a significantly higher mean residence time without a very clear plasma peak of ROP. In a postoperative pain model of rats, the injection of ROP-ST oil solution into the vicinity of the sciatic nerve in the right ankle effectively controlled the postoperative pain for at least 72 h. Conclusions: The injectable oil-based depot formulation of N-acyloxymethyl prodrug of ROP may provide a new opportunity of long-acting local analgesia for postoperative pain. Full article
(This article belongs to the Section Physical Pharmacy and Formulation)
Show Figures

Figure 1

16 pages, 1023 KiB  
Article
Life Cycle Assessment of the Gasoline Supply Chain in Sri Lanka
by Madhurika Geethani and Asela Kulatunga
Sustainability 2024, 16(24), 10933; https://doi.org/10.3390/su162410933 - 13 Dec 2024
Viewed by 1509
Abstract
The Sri Lankan transport sector still depends predominantly on petroleum fuels, mainly diesel and gasoline. Gasoline holds the second highest market share, and with the increasing number of gasoline-fueled vehicles, its proportion in the transport fuel mix is continuously expanding. The main objective [...] Read more.
The Sri Lankan transport sector still depends predominantly on petroleum fuels, mainly diesel and gasoline. Gasoline holds the second highest market share, and with the increasing number of gasoline-fueled vehicles, its proportion in the transport fuel mix is continuously expanding. The main objective of this study is to assess the ecological burden associated with the gasoline supply chain in Sri Lanka by conducting a life cycle assessment from a ‘well-to-tank’ perspective. In the scenario analysis, the environmental impacts of four potential gasoline distribution scenarios were assessed and compared with the existing distribution model. According to the results, the refining process was predominant, contributing more than 50% to climate change, terrestrial acidification, marine and freshwater eutrophication, human toxicity, and terrestrial and marine ecotoxicities. Meanwhile, crude oil extraction dominates in its contribution to ozone depletion, photochemical oxidant formation, freshwater ecotoxicity, and fossil depletion. The results of the scenario analysis show a remarkable reduction in the environmental load when rail transport is solely used to transfer gasoline from bulk terminals to regional depots. The reduction is over 65% in most impact categories compared to the existing distribution method, which involves a combination of both road and rail transport. This study identifies the key areas that need to be further analyzed to lower the environmental impacts while also establishing a foundation for conducting comparative environmental assessments of alternative fuel options in the Sri Lankan context. Full article
Show Figures

Figure 1

18 pages, 1018 KiB  
Article
Emergency Capability Evaluation of Port-Adjacent Oil Storage and Transportation Bases: An Improved Analytic Hierarchy Process Approach
by Baojing Xie, Yongguo Shi, Jinfeng Zhang, Mengdi Ye, Xiaolan Huang, Xinxiang Yang, Lidong Pan, Xin Xu and Dingding Yang
Energies 2024, 17(21), 5303; https://doi.org/10.3390/en17215303 - 25 Oct 2024
Viewed by 1017
Abstract
The large-scale storage and stable supply of oil products are essential for national energy security and economic development. As the economy expands and energy demands rise, centralized storage and supply systems become increasingly vital for ensuring the efficiency and reliability of oil product [...] Read more.
The large-scale storage and stable supply of oil products are essential for national energy security and economic development. As the economy expands and energy demands rise, centralized storage and supply systems become increasingly vital for ensuring the efficiency and reliability of oil product distribution. However, large oil storage depots present substantial safety risks. In the event of fires, explosions, or other accidents, emergency response efforts face stringent demands and challenges. To enhance the emergency response capabilities of oil storage and transportation bases (OSTBs), this paper proposes an innovative approach that integrates the improved analytic hierarchy process (IAHP) with the Entropy Weight Method (EMW) to determine the combined weights of various indices. This approach reduces the subjective bias associated with the traditional analytic hierarchy process (AHP). The emergency response capabilities of OSTBs are subsequently evaluated through fuzzy comprehensive analysis. An empirical study conducted on an OSTB in the Zhoushan archipelago quantitatively assesses its emergency preparedness. The results show that the base excels in pre-incident prevention, demonstrates robust preparedness and response capabilities, and exhibits moderate recovery abilities after incidents. These findings provide a theoretical foundation for reducing the likelihood of accidents, enhancing emergency response efficiency, and mitigating the severity of consequences. Practical recommendations are also offered based on the results. Full article
(This article belongs to the Special Issue Advances in the Development of Geoenergy: 2nd Edition)
Show Figures

Figure 1

18 pages, 7180 KiB  
Article
Optimization Design and Performance Study of a Heat Exchanger for an Oil and Gas Recovery System in an Oil Depot
by Zengliang Chen, Ye Luo, Zhihui Wang, Yulin Liu, Limei Gai, Qichao Wang and Bingyuan Hong
Energies 2024, 17(11), 2631; https://doi.org/10.3390/en17112631 - 29 May 2024
Cited by 1 | Viewed by 3942
Abstract
High summer temperatures pose numerous challenges to the oil and gas recovery process in oil depots, including reduced adsorption tank recovery rates and decreased absorption tower desorption efficiency. This paper introduces a coupling design approach that integrates chemical process design with computational fluid [...] Read more.
High summer temperatures pose numerous challenges to the oil and gas recovery process in oil depots, including reduced adsorption tank recovery rates and decreased absorption tower desorption efficiency. This paper introduces a coupling design approach that integrates chemical process design with computational fluid dynamics simulation. The proposed approach is then utilized to investigate the optimal design and performance of the heat exchanger within the oil depot’s oil and gas recovery system. First, according to the given process design parameters, the heat exchanger is preliminary designed to determine the required heat exchange area and heat load. Based on the preliminary design results, a detailed design is carried out, resulting in the following calculations: the hot fluid has inlet and outlet temperatures of 40 °C and 29.52 °C, respectively, with an outlet flow velocity of 9.89 m/s. The cold fluid exhibits inlet and outlet temperatures of 25 °C and 26.98 °C, respectively, with an outlet flow velocity of 0.06 m/s. The specific structure and dimensions of the heat exchanger are determined, including the shell type, pipe specifications, and pipe length. Finally, CFD numerical simulation is utilized to analyze the flow field, velocity field, and pressure field within the designed heat exchanger. The calculations reveal the following findings: the hot fluid exhibited inlet and outlet temperatures of 40 °C and 29.54 °C, respectively, along with an outlet flow velocity of 9.94 m/s. On the other hand, the cold fluid shows inlet and outlet temperatures of 25 °C and 26.39 °C, respectively, with an outlet flow velocity of 0.061 m/s. The results show that the chemical process design and CFD numerical simulation results are consistent and can be mutually verified. The designed heat exchanger can efficiently cool oil and gas from 40 °C to 30 °C, and the oil and gas processing capacity can reach 870 m3/h, which is conducive to realizing the goals of energy saving, environmental protection, and safety. Full article
(This article belongs to the Section J1: Heat and Mass Transfer)
Show Figures

Figure 1

19 pages, 378 KiB  
Article
A Matheuristic Approach for the Multi-Depot Periodic Petrol Station Replenishment Problem
by Pasquale Carotenuto, Stefano Giordani and Alessio Salvatore
Mathematics 2024, 12(3), 416; https://doi.org/10.3390/math12030416 - 27 Jan 2024
Viewed by 1355
Abstract
Planning petrol station replenishment is an important logistics activity for all the major oil companies. The studied Multi-Depot Periodic Petrol Station Replenishment problem derives from a real case in which the company must replenish a set of petrol stations from a set of [...] Read more.
Planning petrol station replenishment is an important logistics activity for all the major oil companies. The studied Multi-Depot Periodic Petrol Station Replenishment problem derives from a real case in which the company must replenish a set of petrol stations from a set of depots, during a weekly planning horizon. The company must ensure refuelling according to available visiting patterns, which can be different from customer to customer. A visiting pattern predefines how many times (days) the replenishment occurs during a week and in which visiting days a certain amount of fuel must be delivered. To fulfill the weekly demand of each petrol station, one of the available replenishment plans must be selected among a given set of visiting patterns. The aim is to minimize the total distance travelled by the fleet of tank trucks during the entire planning horizon. A matheuristic approach is proposed, based on the cluster-first route-second paradigm, to solve it. The proposed approach is thoroughly tested on a set of realistic random instances. Finally, a weekly large real instance is considered with 194 petrol stations and two depots. Full article
(This article belongs to the Special Issue Combinatorial Optimization and Applications)
Show Figures

Figure 1

19 pages, 6620 KiB  
Article
Migration of Leaked Oil Vapor in Underground Water-Sealed Oil Storage Cavern Considering the Influence of Fractures
by Dong Tang, Huixiang Jian, Min Song and Zhongming Jiang
J. Mar. Sci. Eng. 2023, 11(6), 1248; https://doi.org/10.3390/jmse11061248 - 19 Jun 2023
Cited by 1 | Viewed by 2126
Abstract
During the operation of underground water-sealed oil storage caverns, a large amount of oil vapor is generated due to volatilization. Oil vapor can easily leak into the surrounding rock, and fractures in the surrounding rock are usually the dominant channels for oil vapor [...] Read more.
During the operation of underground water-sealed oil storage caverns, a large amount of oil vapor is generated due to volatilization. Oil vapor can easily leak into the surrounding rock, and fractures in the surrounding rock are usually the dominant channels for oil vapor leakage. To study the influence of fractures on oil vapor leakage and migration in underground water-sealed oil storage caverns during the oil storage period, a gas–liquid two-phase flow model of the fracture–pore dual medium in fractured rock mass was established. The program was implemented on the COMSOL platform by using weak-form PDE (partial differential equation). Then, taking an underground water-sealed cavern of an oil reserve as an example, the influence of the characteristic parameters of a single fracture on the evolution process of oil vapor leakage and migration during the oil storage period of the underground water-sealed oil storage cavern was studied. The results were further applied to the Huangdao underground oil depot project. The results show that the spatial distribution of oil vapor leakage is mainly affected by fractures. Through parameter sensitivity analysis, it was found that the geometric characteristic parameters of fractures will have a certain impact on the migration field of oil vapor leakage in underground caverns. Specifically, fracture permeability (kf), fracture width (df), and fracture inclination (θ) are positively correlated with oil vapor leakage parameters (oil vapor leakage range and leakage volume), while the distance between the fracture and the middle cavern (s) is negatively correlated with oil vapor leakage parameters (oil vapor leakage range and leakage volume). The relative influence of fracture geometry parameters on the migration process of oil vapor leakage during the oil storage period of the underground water-sealed oil storage cavern is in the following order: kf> df> s > θ. Engineering application shows that the existence of fractures affects the spatial distribution of oil vapor leakage and migration, and the relationship between oil vapor leakage parameters and oil storage operation time is a positive power function. The gas–liquid two-phase flow model of the fracture–pore dual medium in fractured rock mass developed in this study could offer a numerical simulation tool to assess and mitigate the risk of oil vapor leakage. The research conclusions can provide some references for related problems encountered in similar projects. Full article
Show Figures

Figure 1

13 pages, 5506 KiB  
Article
A Distributed IoT Air Quality Measurement System for High-Risk Workplace Safety Enhancement
by Lorenzo Parri, Marco Tani, David Baldo, Stefano Parrino, Elia Landi, Marco Mugnaini and Ada Fort
Sensors 2023, 23(11), 5060; https://doi.org/10.3390/s23115060 - 25 May 2023
Cited by 7 | Viewed by 2148
Abstract
The safety of an operator working in a hazardous environment is a recurring topic in the technical literature of recent years, especially for high-risk environments such as oil and gas plants, refineries, gas depots, or chemical industries. One of the highest risk factors [...] Read more.
The safety of an operator working in a hazardous environment is a recurring topic in the technical literature of recent years, especially for high-risk environments such as oil and gas plants, refineries, gas depots, or chemical industries. One of the highest risk factors is constituted by the presence of gaseous substances such as toxic compounds such as carbon monoxide and nitric oxides, particulate matter or indoors, in closed spaces, low oxygen concentration atmospheres, and high concentrations of CO2 that can represent a risk for human health. In this context, there exist many monitoring systems for lots of specific applications where gas detection is required. In this paper, the authors present a distributed sensing system based on commercial sensors aimed at monitoring the presence of toxic compounds generated by a melting furnace with the aim of reliably detecting the insurgence of dangerous conditions for workers. The system is composed of two different sensor nodes and a gas analyzer, and it exploits commercial low-cost commercially available sensors. Full article
(This article belongs to the Special Issue Chemical Sensors for Measurement Systems)
Show Figures

Figure 1

17 pages, 4528 KiB  
Article
Study on Homogeneous Reduction Technology in Gas Samples for Oil and Gas Loss
by Lu Fan, Yu Yue, Honglin Song, Xiaohan Zhang, Xinyun Hu and Yongshou Dai
Separations 2023, 10(5), 294; https://doi.org/10.3390/separations10050294 - 5 May 2023
Viewed by 1842
Abstract
The process of storing oil depots and combined station tanks is affected by factors such as process technology, equipment, and management methods. Inevitably, some heavy hydrocarbon components will condense. According to the available literature, the existing detection methods are not enough to accurately [...] Read more.
The process of storing oil depots and combined station tanks is affected by factors such as process technology, equipment, and management methods. Inevitably, some heavy hydrocarbon components will condense. According to the available literature, the existing detection methods are not enough to accurately measure the component composition so that the proportion of heavy hydrocarbon substances in the lost gas is reduced. In this paper, by inventing a homogeneous reduction device, the lost gas in the entire laboratory process was kept in a homogeneous state so that the gas components were well-retained. Using the homogeneous reduction method and a traditional inspection method, gas chromatography was performed on a standard gas and the on-site lost gas, respectively. The standard gas measurement results show that the mean deviations of the homogeneous reduction method and the traditional test method were −3.45% and −11.62%, respectively, and the reduction degree reached 96.55% with the homogeneous reduction method. The results of the on-site gas loss measurements show that the proportions of most hydrocarbon substances in each lost gas increase to varying degrees after using the homogeneous reduction technology. Therefore, it is proved that these components can be better preserved using the homogeneous reduction method. It can effectively avoid the condensation of components, which is of great significance to the study of oil and gas loss. Full article
(This article belongs to the Topic Oil, Gas and Water Separation Research)
Show Figures

Figure 1

18 pages, 6286 KiB  
Article
Experiment Study on the Effectiveness of Various and Mixed Kinds of Low Expansion Foam of 120# Gasoline Pool Fire Suppression
by Zhaoqian Li, Hongqing Zhu, Feng Qiu, Jinlong Zhao and Chang Tian
Fire 2023, 6(3), 121; https://doi.org/10.3390/fire6030121 - 14 Mar 2023
Cited by 4 | Viewed by 3929
Abstract
Storage tank fires can endanger society and the environment by generating intense heat radiation, rapidly spreading blazes, and cataclysmic explosions. Various types of foam and even two or more mixed foams are commonly used in storage tank fire disposal sites. This research aims [...] Read more.
Storage tank fires can endanger society and the environment by generating intense heat radiation, rapidly spreading blazes, and cataclysmic explosions. Various types of foam and even two or more mixed foams are commonly used in storage tank fire disposal sites. This research aims to experimentally and analytically assess the efficacy of various and mixed forms of foam in putting out 120# gasoline pool fires. A series of foam fire extinguishing and re-ignition tests were conducted using a laboratory fire-extinguishing device that gently released low-expansion foam. In this work, a 2.4 m-diameter steel round tray was utilized to model the full-surface fire of an oilcan in a large oil depot base. The non-dimensional (T* = TExtinguishing/Tboiling point) average temperature of 0.62–0.66 is used in this study to represent the fire extinguishing temperatures of 120# gasoline fuel. The power law is still followed during the spreading phase as the length of the foam spreads further with time. When combined, 6% aqueous film-forming foam solution and alcohol-resistant aqueous film-forming foam solution (AFFF + AFFF/AR) have the highest flow velocity of 0.0189 m s−1. According to the results, synthesis foam solution combined with alcohol-resistant fluoroprotein foam (S + FP/AR) provided the greatest cooling effect, followed by S + S/AR (alcohol-resistant synthetic foam solution), AFFF/AR, S + AFFF, S/AR + AFFF, and finally S/AR + AFFF. According to the results, foam with an expansion ratio of 8.7:1 (FP (fluoroprotein foam solution) + AFFF/AR) has greater re-ignition resistance and burn-back protection. A referable tactic for choosing foam for liquid fire suppression is shown in this paper. The results suggested that FP and AFFF should be used for effective fire suppression in this hydrocarbon fuel fire rescue. Then, we can use synthetic foam and AR foams to provide continuous cooling and prevent the fire from re-igniting through efficient foam coverage. Full article
Show Figures

Figure 1

29 pages, 2996 KiB  
Article
Integrated Metabolomics, Lipidomics, and Genomics Reveal the Presence of a New Biomarker, Butanediol Glucuronide, Associated with the Activation of Liver Ketogenesis and Lipid Oxidation by Tomato-Based Sofrito in Obese Rats
by José Fernando Rinaldi de Alvarenga, Mar Garcia-Aloy, Marynka Ulaszewska, Sebastian Zagmutt, Marta Perez-Montero, Urska Vrhovsek, Rosa M. Lamuela-Raventós and Rosalia Rodriguez-Rodriguez
Antioxidants 2022, 11(11), 2165; https://doi.org/10.3390/antiox11112165 - 31 Oct 2022
Cited by 1 | Viewed by 3722
Abstract
The increasing prevalence of obesity worldwide has promoted research on human metabolism and foods such as sofrito, a tomato and olive oil-based sauce from the Mediterranean diet, has shown beneficial effects on obesity and related complications. Sofrito has been associated with better [...] Read more.
The increasing prevalence of obesity worldwide has promoted research on human metabolism and foods such as sofrito, a tomato and olive oil-based sauce from the Mediterranean diet, has shown beneficial effects on obesity and related complications. Sofrito has been associated with better cardiovascular health, metabolic syndrome, and anti-inflammatory effects. The aim of this study was to understand how sofrito intake could contribute to the control of energy metabolism in obese rats. For this purpose, integrative untargeted lipidomics, metabolomics, and targeted gene expression approaches were used in the liver and adipose tissue to identify metabolic changes and the mechanism of action promoted by sofrito intake. A new biomarker was identified in the liver, butanediol glucuronide, an indicator of ketogenic activation and lipid oxidation after the sofrito intervention. Gene expression analysis revealed an increase in the uptake and liver oxidation of lipids for energy production and ketogenesis activation as fuel for other tissues in sofrito-fed animals. Sofrito altered the lipidomic profile in the fat depots of obese rats. This multiomics study identifies a new biomarker linked to the beneficial actions of sofrito against obesity and provides further insight into the beneficial effect of the Mediterranean diet components. Full article
Show Figures

Figure 1

18 pages, 7314 KiB  
Article
Seepage Performance of Fibre Bundle Drainage Pipes: Particle Flow Simulation and Laboratory Testing
by Sifeng Zhang, Guozhang Ren, Guojian Zhang, Ziyin Ren, Chong Xia and Yuan Gao
Energies 2022, 15(19), 7270; https://doi.org/10.3390/en15197270 - 3 Oct 2022
Cited by 1 | Viewed by 1704
Abstract
Mining coal, oil and other energy will form much slope engineering, such as open-pit mine slope and oil depot slope. The groundwater seepage seriously affects the stability of these slope engineering projects. Drainage pipes are commonly used in slope engineering projects to reduce [...] Read more.
Mining coal, oil and other energy will form much slope engineering, such as open-pit mine slope and oil depot slope. The groundwater seepage seriously affects the stability of these slope engineering projects. Drainage pipes are commonly used in slope engineering projects to reduce the risk of moisture decreasing soil stability. Such pipes are prone to blockage by soil accumulation after a period of operation, resulting in decreased drainage or complete failure. By installing fibre bundles in drainage pipes, drainage can be maintained under soil ingress. This paper conducted particle flow simulations of the influences of soil particles on the clogging of geotextile filters and drainage pipes under various influences and estimated their seepage rates. Higher water pressure, smaller flower hole intervals in the pipe, greater soil friction angles and smaller pipe inclination angles are less conducive to drainage. Under silting conditions, the seepage and drainage performance of a drainage pipe can be improved by installing a fibre bundle. Five types of fibre bundles were tested with plastic rope providing the best drainage effect. With plastic rope and cotton rope, the best drainage is achieved using uneven arrangements of fibre bundles. In contrast, nylon rope, hemp rope and polyester rope perform best when uniformly arranged. The greater the number of fibre bundles per unit cross-sectional area of pipe, the better the seepage conductivity. Seepage is also greater when the soil in the pipe has a higher sand content. These results provide a reference for the design and construction of more reliable drainage systems for slope engineering in wet areas. Full article
(This article belongs to the Special Issue Advances in Energy Infrastructure Construction Technology)
Show Figures

Figure 1

15 pages, 3363 KiB  
Article
Allogeneic Bone Impregnated with Biodegradable Depot Delivery Systems for the Local Treatment of Joint Replacement Infections: An In Vitro Study
by Libor Prokes, Eva Snejdrova, Tomas Soukup, Jana Malakova, Vladislav Frolov, Jan Loskot, Rudolf Andrys and Tomas Kucera
Molecules 2022, 27(19), 6487; https://doi.org/10.3390/molecules27196487 - 1 Oct 2022
Cited by 3 | Viewed by 2025
Abstract
Although progress is evident in the effective treatment of joint replacement-related infections, it still remains a serious issue in orthopedics. As an example, the local application of antibiotics-impregnated bone grafts supplies the high drug levels without systemic side effects. However, antibiotics in the [...] Read more.
Although progress is evident in the effective treatment of joint replacement-related infections, it still remains a serious issue in orthopedics. As an example, the local application of antibiotics-impregnated bone grafts supplies the high drug levels without systemic side effects. However, antibiotics in the powder or solution form could be a risk for local toxicity and do not allow sustained drug release. The present study evaluated the use of an antibiotic gel, a water-in-oil emulsion, and a PLGA microparticulate solid dispersion as depot delivery systems impregnating bone grafts for the treatment of joint replacement-related infections. The results of rheological and bioadhesive tests revealed the suitability of these formulations for the impregnation of bone grafts. Moreover, no negative effect on proliferation and viability of bone marrow mesenchymal stem cells was detected. An ex vivo dissolution test of vancomycin hydrochloride and gentamicin sulphate from the impregnated bone grafts showed a reduced burst and prolonged drug release. The PLGA-based formulation proved to be particularly promising, as one-day burst release drugs was only 15% followed with sustained antibiotics release with zero-order kinetics. The results of this study will be the basis for the development of a new product in the Tissue Section of the University Hospital for the treatment of bone defects and infections of joint replacements. Full article
Show Figures

Figure 1

Back to TopTop