Enhanced Production Rate Research Articles

Relative increase in production ratio of small dense low-density lipoprotein in acute coronary syndrome with high coronary plaque burden: an ex-vivo analysis.

The absolute value of small dense low-density lipoprotein (sd-LDL) including small LDL (s-LDL) and very small LDL (vs-LDL) has been shown to be associated with increased incidence of atherosclerosis. However, the impact of short-timeframe increases in sd-LDL on arteriosclerosis has not yet been elucidated. Therefore, we investigated the clinical roles of ex-vivo induced sd-LDL in acute coronary syndrome (ACS) using a novel method. This is a prospective, single-blind, and observational study that screened patients who underwent coronary angiography (CAG) for the treatment of ACS or investigation of heart-failure etiology between June 2020 and April 2022 (n = 247). After excluding patients with known diabetes mellitus and advanced renal disease, the patients were further divided into the ACS (n = 34) and control (non-obstructive coronary artery, n = 34) groups. The proportion of sd-LDL (s-LDL + vs-LDL) in total lipoproteins was observed before and after 2-h incubation at 37 ℃ (to approximate physiologic conditions) using 3% polyacrylamide gel electrophoresis. The coronary plaque burden was quantified upon CAG in the ACS group. There were no significant differences between the ACS and control groups in terms of clinical coronary risk factors. The baseline of large, medium, small, and very small LDL were comparable between the two groups. Following a 2-h incubation period, significant increases were observed in the ratios of s-LDL and vs-LDL in both the ACS and control groups (ACS, p = 0.01*; control, p = 0.01*). Notably, the magnitude of increase in sd-LDL was more pronounced in the ACS group compared to the control group, with s-LDL showing a significant difference (p = 0.03*) and vs-LDL showing a tread toward significance (p = 0.08). In addition, in both groups, there was a decrease in IDL and L-LDL, while M-LDL remained unchanged. The plaque burden index and rate of short-timeframe changes in both s-LDL (p = 0.01*) and vs-LDL (p = 0.04*) before and after incubation were significantly correlated in the ACS group. The enhanced production rate of sd-LDL induced under short-term physiologic culture in an ex-vivo model was greater in patients with ACS than in the control group. The increase in sd-LDL is positively correlated with coronary plaque burden. Short-timeframe changes in sd-LDL may serve as markers for the severity of coronary artery disease.

Appropriate characterization of reservoir properties and investigation of their effect on microbial enhanced oil recovery through simulated laboratory studies

Appropriate characterization of reservoir properties and investigation of the effect of these properties on microbial metabolism and oil recovery under simulated reservoir conditions can aid in development of a sustainable microbial enhanced oil recovery (MEOR) process. Our present study has unveiled the promising potential of the hyperthermophilic archaeon, identified as Thermococcus petroboostus sp. nov. 101C5, to positively influence the microenvironment within simulated oil reservoirs, by producing significant amounts of metabolites, such as biosurfactants, biopolymers, biomass, acids, solvents, gases. These MEOR desired metabolites were found to cause a series of desirable changes in the physicochemical properties of crude oil and reservoir rocks, thereby enhancing oil recovery. Furthermore, our study demonstrated that the microbial activity of 101C5 led to the mobilization of crude oil, consequently resulting in enhanced production rates and increased efficiency in simulated sand pack trials. 101C5 exhibited considerable potential as a versatile microorganism for MEOR applications across diverse reservoir conditions, mediating significant light as well as heavy oil recovery from Berea/carbonaceous nature of rock bearing intergranular/vugular/fracture porosity at extreme reservoir conditions characterized by high temperature (80–101 °C) and high pressure (700–1300 psi). Core flood study, which truly mimicked the reservoir conditions demonstrated 29.5% incremental oil recovery by 101C5 action from Berea sandstone at 900 psi and 96 °C, underscoring the potential of strain 101C5 for application in the depleted high temperature oil wells.

Maximizing Production Profits: Optimizing Gas Lift Design in the Halfaya Oil Field

Gas lift is one of the most common artificial lift methods which is effectively utilized in the oil industry for enhancing production. However, proper gas allocation into wells can be challenging due to various limitations such as shortage in injected gas and economic considerations. Therefore, the current research is conducted to address the critical requirement to effectively distribute gas to maximize profits in the Halfaya Oil Field- Mishrif formation. Continuous gas lift is one of the most commonly used artificial lift methods. To enhance production rate, a sufficient amount of gas is injected into the production tubing at specific depths to reduce the liquid column pressure as each well has an optimal point for production in an oil reservoir. On the other hand, constraints of gas availability restrict achieving the optimal state of production. Such restrictions combined with economic limitations including high gas prices and compression costs, emphasized the necessity for optimal methodology to enhance oil production. Aside from the importance of the Halfaya oil field, there are limited relevant studies on artificial lifting methods specifically associated with the gas-lifting method used in this paper. Thus, the purpose of the current investigation is to propose a well-tested gas lifting design for oil production improvement. The approach combines the skill of the fmincon function built in MATLAB as an optimizer and the PIPESIM network model to create gas lift performance curves. This resulted in an oil production rate of 18860 STB/d, with a gas lift rate of 9.42 mmscf/d. Establishing such a systematic optimization process can manage the challenges of gas allocation in the Halfaya Oil Field towards maximizing production rates and ultimately increasing net profits.

Experimental and Computational Investigation of Microbubble Formation in a Single Capillary Embedded T-junction Microfluidic Device.

In recent years, there has been a notable increase in the interest toward microfluidic devices for microbubble synthesis. The upsurge can be primarily attributed to the exceptional control these devices offer in terms of both the size and the size distribution of microbubbles. Among various microfluidic devices available, capillary-embedded T-junction microfluidic (CETM) devices have been extensively used for the synthesis of microbubbles. One distinguishing feature of CETM devices from conventional T-junction devices is the existence of a wall at the right-most end, which causes a backflow of the continuous phase at the mixing zone during microbubble formation. The back flow at the mixing zone can have several implications during microbubble formation. It can possibly affect the local velocity and shearing force at the mixing zone, which in turn can affect the size and production rate of the microbubbles. Therefore, in this work, we experimentally and computationally understand the process of microbubble formation in CETM devices. The process is modeled using computational fluid dynamics (CFD) with the volume-of-fluid approach, which solves the Navier-Stokes equations for both the gas and liquid phases. Three scenarios with a constant liquid velocity of 0.053 m/s with varying gas velocity and three with a constant gas velocity of 0.049 m/s at different liquid velocities were explored. Increase in the liquid and gas velocity during microbubble formation was found to enhance production rates in both experiments and simulations. Additionally, the change in microbubble size with the change in liquid velocity was found to agree closely with the findings of the simulation with a coefficient of variation of 10%. When plotted against the time required for microbubble generation, the fluctuations in the pressure showed recurrent crests and troughs throughout the microbubble formation process. The understanding of microbubble formation in CETM devices in the presence of backflow will allow improvement in size reduction of microbubbles.

Maximizing microbial bioproduction from sustainable carbon sources using iterative systems engineering

Maximizing the production of heterologous biomolecules is a complex problem that can be addressed with a systems-level understanding of cellular metabolism and regulation. Specifically, growth-coupling approaches can increase product titers and yields and also enhance production rates. However, implementing these methods for non-canonical carbon streams is challenging due to gaps in metabolic models. Over four design-build-test-learn cycles, we rewire Pseudomonas putida KT2440 for growth-coupled production of indigoidine from para-coumarate. We explore 4,114 potential growth-coupling solutions and refine one design through laboratory evolution and ensemble data-driven methods. The final growth-coupled strain produces 7.3 g/L indigoidine at 77% maximum theoretical yield in para-coumarate minimal medium. The iterative use of growth-coupling designs and functional genomics with experimental validation was highly effective and agnostic to specific hosts, carbon streams, and final products and thus generalizable across many systems.

Characterization of the pore structure in Chinese anthracite coal using FIB-SEM tomography and deep learning-based segmentation

Coalbed methane (CBM) is an unconventional natural gas that possesses significant impacts on energy supply, mining safety, and environmental conservation. CBM is primarily stored within the pores of coal, highlighting the significance of pore structures for both methane storage and migration. However, comprehensively understanding the intricate pore structures in coal pose challenges. This study employed focused ion beam-scanning electron microscopy (FIB-SEM) tomography and deep learning-based segmentation to characterize the pore structures within a Chinese anthracite sample. The obtained pore structures exhibited a considerable degree of disconnection, comprising numerous separate pore components. Isolated pores prevailed in number, while connected pores dominated in surface area and pore volume. Mesopores (100–1000 nm) contributed the most to pore number, surface area, and pore volume. Pore size distribution analysis revealed distinct patterns among different pore structure properties, with pore number exhibiting an intensive distribution while surface area and pore volume displaying dispersed distributions. Pore structure connectivities exhibited a hierarchical nature and held distinct meanings at the levels of pore, pore component, and pore network. The pore structure characteristics observed in this study have implications for primary CBM recovery, emphasizing the necessity to improve connectivity between pore components and fractures to enhance production rates and recoverability.

Solar-driven dry reforming of methane using RuNi single-atom alloy catalyst coupled with thermal decomposition of carbonates

Traditional industries, which usually involve the thermal decomposition of carbonates into metal oxide, give a great contribution to the production of carbon dioxide (CO2). Dry reforming of methane (DRM) is a process that transforms the greenhouse gases CO2 and CH4 into syngas (CO and H2), providing an efficient method for the usage of CO2 and the creation of high value-added chemicals. However, such traditional process typically requires high temperature and pressure to break the CO and CH bond, resulting in high operating costs. The development of solar-driven catalysis for the DRM is crucial to the search for a more sustainable path. Herein, RuNi single-atom alloy (RuNi-SAA) supported on Al2O3 was synthesized and exhibited enhanced production rates of H2 and CO (8.98 and 10.70 mmol·g−1·min−1, respectively) under photothermal condition. Additionally, CO2-emitting carbonates thermal decomposition reaction in traditional industries was combined with CO2-consuming DRM reaction to reduce CO2 emission. The selectivity of CO2 can be significantly reduced from 100% (direct carbonates thermal decomposition) to 20%, with simultaneously producing H2 and CO (0.68 and 0.44 mmol·g−1·min−1). This study presents an effective strategy to construct highly reactive SAA catalysts for photothermal DRM reaction and offers an alternative method to utilize and directly convert CO2 in traditional industries for the manufacture of high value-added chemicals.

Enhanced production rate of probiotic Enterococcus faecium A028 by repeated batch solid-state fermentation and its survival under hot air drying with cell-protective agents

Probiotic viability is an important aspect of animal feed additives. Enterococcus faecium A028, a potential probiotic, was isolated from the intestinal digestion track of chicken. Production rate of E. faecium A028 probiotic inoculum with high total viable cell count (TVC) was enhanced using repeated batch solid-state fermentation (RB-SSF). The probiotic strain grew well in soybean meal (SBM) with average TVC of over 9 LogCFU/g in all RB-SSF experiments. Average specific growth rate of E. faecium A028 in fermented SBM (FSBM) was 50% repeated batch ratio (RB ratio) for 0.37 h−1, and higher than the batch process (0.33 h−1). Probiotic inoculum production rate was enhanced by increasing the RB ratio. Highest total TVC production rate was 128.15 LogCFU/h at 90% RB ratio, while average TVC was 9.09 LogCFU/g. Total production of FSBM at 90% RB ratio was 1.6 times higher than batch fermentation. Different protective agents were investigated to increase the survival of E. faecium A028 during hot air drying. Maltodextrin (MTD) provided the highest survival rate at 83.9% during 24 h of drying. RB-SSF effectively enhanced the production rate of probiotic strain cultivation in SBM, while MTD acted as a cell-protective agent and maintained the survival of E. faecium A028 during thermal drying.

Commissioning of the Advanced Rare Isotope Separator ARIS at FRIB

The Facility for Rare Isotope Beams (FRIB) at Michigan State University (MSU) consists of a newly constructed linear accelerator and fragment separator that are designed for enhanced production rates of rare isotopes for use in research and other societal applications. Recent activities through to August 2022 took place to commission the Advanced Rare Isotope Separator (ARIS) and carry out the first experiments. This followed commissioning of the newly constructed linac that is designed to provide orders of magnitude higher beam power than the previously coupled cyclotrons. This required that more advanced target, beam dump, and collimation systems of the new separator be designed and constructed to sustain unprecedented conditions by heavy ion beams. Commissioning with ∼1 kW beams began recently and results from activities that began in late 2021 are reported here. Comparisons between the previous and current facilities are provided.

Monitoring of Newcastle Disease Virus Vaccine Strain Replication in Embryonated Chicken Eggs by Reverse Transcription-Polymerase Chain Reaction.

The knowledge of virus and replication kinetics plays a key role in developing a vaccine. This study aimed to monitor the replication process and determine the best harvesting time of the Newcastle disease virus (NDV) V4 vaccine strain in the allantoic fluids of specific pathogen-free (SPF)-embryonated chicken eggs (ECEs) by reverse transcription-polymerase chain reaction (RT-PCR), hemagglutination (HA), and egg infective dose 50% (EID50) tests. For this purpose, the V4 vaccine strain of the virus was intra-allantoically inoculated into 96 10-day-old SPF-ECEs at the rate of 0.1 mL/ECE. The allantoic fluids of the inoculated eggs were collected from six eggs at six-hour intervals up to 96 hours post-infection (hpi). The harvested suspensions were confirmed to contain the NDV by the mentioned serologic and molecular techniques. Based on the results, the virus was first detected at 36 hpi in ECEs by RT-PCR. The peak of HA and EID50 titers in allantoic fluids started at 42 hpi, and the titers were at the highest level until the end of the experiment. The results indicated that the best virus harvesting time for the NDV V4 vaccine strain in ECEs is between 42-60 hpi. These findings pave the way for adequate and enhanced production rate, immunogenicity, and cost-related parameters in the V4 Newcastle vaccine development.

Design and Fabrication of Automatic Laddu Shaper Machine

Abstract: The laddu shaper machine is primarily utilised in cottage and small-scale industries. A feed hopper, screw conveyor, roller, motor, and collecting tray are some of its various parts. People frequently order a lot of sweets from the vendor and anticipate receiving them as soon as feasible. The vendor must add more staff in order to finish the order in the allotted time and also maintain the quality of the product. To cope up with demands to be fulfilled in a shorter time span, automation can come in handy. The effort to automate laddu production is discussed in the paper. By enhancing production rate and quality, the project seeks to decrease labour costs while boosting profits. Additionally, it adheres to safety standards for the materials required to build the machine, reducing material waste caused by manual handling. The material used is food grade material to keep the machine hygienic and corrosion-free. The purpose of this machine is to make proper and highly nutrients content laddu in proper round shape.

Durable Rapid Self-Disinfection, Reusable Protective Clothing Based on the Ag-Pd@MoS2 Nanozyme with Enhanced Triple-Mode Synergistic Antibacterial Effect.

Personal protective clothing plays an important role in isolating microorganisms and harmful ultrafine dust, but it cannot quickly inactivate bacteria intercepted on the surface, making it a potential source of infection. However, spontaneous and durable rapid sterilization is a major challenge for commercial protective clothing. Herein, we exquisitely engineered a visible light-enhanced Ag-Pd@MoS2 nanozyme-based fabric, named PVDF/Ag-Pd@MoS2/PAN fabric (PAPMP fabric), with prominent triple-mode synergistic antibacterial effect through the replacement reaction, electrospinning technique, and vacuum filtration method. The modification of Ag-Pd greatly strengthened the absorption of MoS2 nanosheets to the visible light spectrum (390-780 nm) and its corresponding catalytic performance. Meanwhile, the combination of MoS2 nanosheets significantly enhanced the oxidase-like characteristics of Ag-Pd under sunlight irradiation, increasing the yield of surface-bound 1O2 ∼4.54 times in 5 min. In addition, the obtained Ag-Pd@MoS2 nanozyme showed an excellent photo-to-thermal conversion property (36.12%), which enabled the sharp increase in the surface temperature of the PAPMP fabric to 62.8 °C in 1 min under a solar simulator (1 W/cm2). Correspondingly, the obtained PAPMP fabric exhibited excellent intrinsic antibacterial effect and greatly shortened the sterilization time from 4 h to only 5 min under sunlight stimulation. The rapid antibacterial effect of the fabric was attributable to the enhanced production rate of surface-bound reactive oxygen species and the increased temperature by solar irradiation. Notably, the fabric still maintained the efficient germicidal effect even after 30 washing cycles. In addition to high reusability, the fabric also had outstanding biological compatibility and water resistance. Our work provides a novel strategy to improve the inherent timely sterilization and heat preservation efficiency of protective clothing.

Comprehensive analysis of design software application in solar distillation units

The use of solar stills in rural regions are becoming increasingly popular as it is an economical solution for drinking water from saline water sources. Many researchers have worked for the improvement of conventional solar still to enhance productivity. Costly and time-consuming processes of operation in solar stills encourage many scholars to analyze mathematical simulation. This paper presents comprehensive reviews of the application of different design software to solar still systems. Design software is essential for developing and analyzing the mathematical models and predicting the most suitable performance parameters for the enhanced production rate of distilled water for still systems. Numerical modeling of solar still systems is necessary to analyze and investigate air movement, temperature variation for knowing water temperature, and air temperature through software like CFD, MATLAB, FORTRAN, TRYNSYS AutoCAD. The simulation technique's application using CFD is made with TRNSYS, FLUENT, ANSYS, FORTRAN and MATLAB which are useful tools to develop such mathematical models for the prediction of flow parameters. Engineering Equation Solver (EES) package and COMSOL Multiphysics solve the differential energy balance equation. All newly developed software employed for the utility of still solar systems is discussed. This article provides a comprehensive overview of the various software tools used in solar still to help researchers, scientists, and academicians.

Statistical modeling and optimization for the production of secondary metabolites by lichen mycobiont isolated from Parmotrema austrosinense

Lichens produce range of secondary metabolites which exhibit multifarious biological potential. The present work highlights the effect of media components for the production of secondary metabolites by lichen Parmotrema austrosinense. Mycobiont was isolated by lichen tissue culture method. One variable at a time approach exhibited that, Malt yeast extract media supplemented with glucose (4 mg/L), asparagine (1 mg/L), MnSO4 4H2O (20 mg/L), ZnSO4 7H2O (20 mg/L) and H3BO3 (4 mg/L) enhanced the growth of lichen mycobiont with improved total phenol production. The major influencing media components on total phenol content was screened through Plackett-Burman experimental design. Yeast, glucose and MgSO4 4H2O have been observed as effective media components. The screened variables have been further optimized by response surface methodology. The optimum media composition was found as 4.04 g/L glucose, 3.15 g/L yeast and 21.43 mg/L MnSO4 4H2O resulted with the maximum total phenol content of 1.80 ± 0.1 μg/g. Thus, the study established a suitable media component for the enhanced production rate of secondary metabolites in terms of total phenol content.

Influence of augmentation of biochar during anaerobic co-digestion of Chlorella vulgaris and cellulose

The anaerobic co-digestion (AcoD) of microalgae is a prospective option for generating biomethane from renewable sources. This study investigates the effects of inoculum-to-substrate ratio (ISR), C/N ratio and biochar (BC) load on the AcoD of Chlorella vulgaris and cellulose. An initial augmentation of BC at ISR 0.5–0.9 and C/N ratio 10–30 offered a pH buffering effect and resulted in biomethane yields of 233–241 mL CH4/g VS, corresponding to 1.8–4.6 times the controls. BC addition ameliorated significantly AcoD, supporting the digestate stability at less favourable conditions. The effect of the process variables was further studied with a 23 factorial design and response optimisation. Under the design conditions, the variables had less influence over methane production. Higher ISRs and C/N ratios favoured AcoD, whereas increasing amounts of BC reduced biomethane yield but enhanced production rate. The factorial design highlighted the importance of BC-load on AcoD, establishing an optimum of 0.58 % (w/v).

Minimized Pt deposition on CdS simultaneously maximizes the performance of hydrogen production and aromatic alcohols oxidation

Constructing coupling reaction system is an effective strategy to simultaneously improve the utilization of photoexcited electrons and holes. Herein, a series of Pt/CdS photocatalysts with minimized Pt were developed by a novel method and used for the coupling system of hydrogen production and aromatic alcohols oxidation. The optimized 0.045%-Pt/CdS exhibits enhanced production rates of H2 and aromatic aldehydes of 4.87 and 5.54 mmol·gcat−1·h−1 respectively, which is 325 and 277 times higher than those of pure CdS. Furthermore, the apparent quantum efficiency (AQE) of hydrogen production is up to 28.9% at 450 nm without palpable decrease in photoactivity during 18 h continuous testing. The enhanced photocatalytic activity is mainly attributed to the synergistic roles of Pt and CdS: (1) the larger interfacial area formed by the tight anchorage of Pt on CdS is more favorable for transferring photoexcited electrons (e−) to Pt, while metallic Pt ensures outstanding e− mobility and offers more active sites for reducing H+ to H2; (2) the photoexcited holes (h+) left on CdS oxidize aromatic alcohols into corresponding aldehydes, thereby achieving the simultaneous utilization of photoexcited h+ and e− in one reaction system. The anchoring design can also be expanded to other coupling systems.

A PROSS-designed extensively mutated estrogen receptor \u03b1 variant displays enhanced thermal stability while retaining native allosteric regulation and structure

Protein stability limitations often hamper the exploration of proteins as drug targets. Here, we show that the application of PROSS server algorithms to the ligand-binding domain of human estrogen receptor alpha (hERα) enabled the development of variant ERPRS* that comprises 24 amino acid substitutions and exhibits multiple improved characteristics. The protein displays enhanced production rates in E. coli, crystallizes readily and its thermal stability is increased significantly by 23 °C. hERα is a nuclear receptor (NR) family member. In NRs, protein function is allosterically regulated by its interplay with small molecule effectors and the interaction with coregulatory proteins. The in-depth characterization of ERPRS* shows that these cooperative effects are fully preserved despite that 10% of all residues were substituted. Crystal structures reveal several salient features, i.e. the introduction of a tyrosine corner in a helix-loop-helix segment and the formation of a novel surface salt bridge network possibly explaining the enhanced thermal stability. ERPRS* shows that prior successes in computational approaches for stabilizing proteins can be extended to proteins with complex allosteric regulatory behaviors as present in NRs. Since NRs including hERα are implicated in multiple diseases, our ERPRS* variant shows significant promise for facilitating the development of novel hERα modulators.

Global Sensitivity Analysis of a Reactive Transport Model for Mineral Scale Formation During Hydraulic Fracturing

Injection of water-based hydraulic fracturing fluid (HFF) into tight shale gas/oil formations can increase formation permeability and enhance production rates, but this process frequently causes mi...

Recent Advances in Microfluidics for the Preparation of Drug and Gene Delivery Systems.

Drug delivery systems (DDSs) have great potential for improving the treatment of several diseases, especially microbial infections and cancers. However, the formulation procedures of DDSs remain challenging, especially at the nanoscale. Reducing batch-to-batch variation and enhancing production rate are some of the essential requirements for accelerating the translation of DDSs from a small scale to an industrial level. Microfluidic technologies have emerged as an alternative to the conventional bench methods to address these issues. By providing precise control over the fluid flows and rapid mixing, microfluidic systems can be used to fabricate and engineer different types of DDSs with specific properties for efficient delivery of a wide range of drugs and genetic materials. This review discusses the principles of controlled rapid mixing that have been employed in different microfluidic strategies for producing DDSs. Moreover, the impact of the microfluidic device design and parameters on the type and properties of DDS formulations was assessed, and recent applications in drug and gene delivery were also considered.

Role of Ergonomic Factors Affecting Production of Leather Garment-Based SMEs of India: Implications for Social Sustainability

This paper aims to identify, evaluate, and measure the ergonomic factors hampering the production of leather garment-based small and medium-sized enterprises (SMEs). Ergonomic problems faced by the workers largely impact the health of individuals and also the productivity of a firm. Based on experts’ opinions and a literature survey, three emerging categories—namely, occupational disease, personal factors, and the industrial environment—with a total of twenty factors were identified to examine symmetrical impact in five leather garment companies. In this research work, Cronbach’s α was evaluated to check the validity of the ergonomic factors identified through the literature survey. Then, using the fuzzy analytic hierarchy process (FAHP), the identified ergonomic factors were evaluated. A sensitivity analysis was carried out to validate the robustness of the results obtained using the integrated approach. Outdated machinery, vibration, operational setup, fatigue, and poor ventilation and lighting are the top five factors inducing ergonomic-related problems and hampering the production of the leather garment companies in India. These top ergonomic factors are the result of a failure in the provision of an ambient working environment. Providing ergonomically designed working environments may lower the occurrence of ergonomic problems. The findings of this study will assist industrial managers to enhance production rate and to progress towards social sustainability in Indian SMEs. The proposed symmetrical assessment in this study could also be considered as a benchmark for other companies in which human–machine interaction is significant.