Hydrodynamic Techniques Research Articles

Identification of Kelvin-Helmholtz generated vortices in magnetised fluids

The Kelvin-Helmholtz Instability (KHI), arising from velocity shear across the magnetopause, plays a significant role in the viscous-like transfer of mass, momentum, and energy from the shocked solar wind into the magnetosphere. While the KHI leads to growth of surface waves and vortices, suitable detection methods for these applicable to magnetohydrodynamics (MHD) are currently lacking. A novel method is derived based on the well-established λ-family of hydrodynamic vortex identification techniques, which define a vortex as a local minimum in an adapted pressure field. The J×B Lorentz force is incorporated into this method by using an effective total pressure in MHD, including both magnetic pressure and a pressure-like part of the magnetic tension derived from a Helmholtz decomposition. The λMHD method is shown to comprise of four physical effects: vortical momentum, density gradients, fluid compressibility, and the rotational part of the magnetic tension. A local three-dimensional MHD simulation representative of near-flank magnetopause conditions (plasma β’s 0.5–5 and convective Mach numbers Mf∼0.4) under northward interplanetary magnetic field (IMF) is used to validate λMHD. Analysis shows it correlates well with hydrodynamic vortex definitions, though the level of correlation decreases with vortex evolution. Overall, vortical momentum dominates λMHD at all times. During the linear growth phase, density gradients act to oppose vortex formation. By the highly nonlinear stage, the formation of small-scale structures leads to a rising importance of the magnetic tension. Compressibility was found to be insignificant throughout. Finally, a demonstration of this method adapted to tetrahedral spacecraft observations is performed.

Electrosynthesis of tunable NiO/CuO-printed circuit board electrodes for glucose sensing

In this research work, a copper-based printed circuit board (Cu-PCB) was used as an electrode substrate. Alloyed copper-nickel oxides were synthesized on the surface of the Cu-PCB electrode by the two stages: In the first step, the electrodeposition of copper-nickel alloy on the surface of the Cu-PCB electrode was carried out by cyclic chronopotentiometric method (8 cycles) at the optimized conditions. In the second step, the Ni/Cu-PCB electrode was immersed in 1 M NaOH electrolyte solution, followed by the electrochemical synthesis of the alloyed copper-nickel oxides by repetitive cyclic voltammetry (40 cycles) and subsequently, the NiO/CuO-PCB electrode was obtained. The surface structure and morphology of NiO/CuO-PCB and Cu-PCB electrodes were comparatively investigated by SEM, EDX, and XRD techniques. Moreover, the electrochemical behavior and electrocatalytic properties of NiO/CuO-PCB electrode have been effectively investigated. To study the electrocatalytic efficiency of the NiO/CuO-PCB electrode, the measurement of glucose as a biological target was studied by cyclic voltammetry (CV) and amperometry approaches as well. The limit of glucose detection (LOD) and sensitivity of the proposed method in glucose assay were calculated as 5.4 and 1.1 µM, and 118.14 and, 112.08 mA/M by CV and amperometry approaches, respectively. Two-segment calibration graphs were found over the range 1.4–120 mM by CV, and 0.14–180 mM by hydrodynamic amperometry techniques. The fabricated sensor was successfully used to measure glucose in blood serum and human plasma samples.

Crestal Sinus Lift with the Hydrodynamic Technique: Prospective Clinical Study at 3 Years Follow-Up

Aim: This study aimed to evaluate the implant survival rate, marginal bone loss (MBL), and surgical complications in single dental implants placed in the atrophic posterior maxilla using a transcrestal sinus lift with injectable graft materials. Materials and Methods: A prospective longitudinal study was conducted at IRCCS San Raffaele, Milan, Italy. Fifty-four patients with single edentulous sites and residual bone heights < 5 mm were included. A transcrestal sinus lift was performed using non-cutting drills (Cosci’s technique) and xenogenic bone graft in gel form (Gel40, Tecnoss, Italy). Follow-up visits were at 1 week, 3 and 6 months, and annually for 3 years. Results: The implant survival rate was 98.04%, with one implant lost. MBL values were 0.71 ± 0.94 mm at 6 months, 1.00 ± 0.99 mm at 1 year, 1.03 ± 1.00 mm at 2 years, and 1.02 ± 1.01 mm at 3 years. Our ANOVA showed a significant MBL increase from 6 months to 1 year (p = 0.015), with no significant changes thereafter. Minimal surgical complications were observed, each occurring in 1.85% of cases. Conclusion: Transcrestal sinus lifts with injectable graft materials demonstrate high implant survival, acceptable MBL, and minimal complications, making it a reliable option for posterior maxilla rehabilitation.

Enhanced Disinfection Efficiency Using Cu Vortex Diode for Providing Safe Drinking Water: Devising Newer Methodologies

ABSTRACTThe present research aims to refine the hydrodynamic cavitation technique with traditional knowledgebase of Ayurveda for more efficient water disinfection and that has huge potential for implementation in real life, especially for substituting the existing chlorination method for drinking water treatment. The study incorporates use of newer copper reactor configuration, employing vortex flow for generating cavitation for the disinfection of water. Elimination of model contaminant, Escherichia coli, with initial concentration of ∼105 CFU/mL of bacteria was used for the disinfection study. Copper vortex diode with a capacity of 1 m3/h was employed as a cavitating device. The cavitation using copper vortex diode gave significantly higher disinfection, over 30%, compared that with conventional vortex diode, with aluminum as material of construction, under similar conditions. Remarkably, the addition of 0.1% betel leaf oil led to an extraordinary 260‐fold increase in the rate of disinfection, requiring only a single pass to achieve complete bacteria elimination. Furthermore, a notably high synergistic index of 246.96 was achieved for the process intensification approach using the Cu vortex diode. The cost was substantially reduced by approximately three times to 0.011 $/m3 using the Cu vortex diode compared to the conventional vortex diode. The developed strategy offers significantly enhanced performance, as well as a techno‐economical and sustainable solution for drinking water treatment to ensure the provision of safe drinking water. Moreover, the newer methodology can have the advantage of producing no harmful carcinogenic disinfection by‐products compared to chemical disinfection processes apart from sustainable alternative to chlorination.

Mathematical Modelling and Application of Analytical Methods for A Non-Linear EC2E Mechanism in Rotating Disk Electrode

Rotating disk electrode is the hydrodynamic technique used in the process of analyzing electroanalytic works. This paper deals with the mathematical model describing a non-linear EC2E mechanism that arises in a rotating disk electrode. This model is based on the system of non-linear reaction-convection-diffusion equations. EC2E mechanism has an application in finding the shape of current curves in the system of chronoamperometry in addition to steady-state voltammetry. The approximate analytical expression for the concentration of reactant species and current at steady-state condition is obtained using the analytical methods. The attained analytical result is compared with the numerical simulation (MATLAB) result. A satisfactory result is obtained between the series of solutions. The influence of parameters on the concentration of species and current is investigated and presented graphically.

Application of mesh-free and finite element methods in modelling nano-scale material removal from copper substrates: A computational approach

This study explores the modelling methodology using mesh-free smoothed particle hydrodynamics (SPH) and finite element modelling (FE) techniques to simulate the AFM-based nano-scratching processes for advancing precision engineering in nanotechnology. Tip wear in nano machining substantially increases the tip radius, thereby influencing the material removal mechanism and subsequently affecting the quality of machined nanostructures. In this context, this study examines the effects of rake angle (the inclination of the main cutting edge to the plane perpendicular to the scratched surface), tip radius and scratching depth on cutting forces, groove dimensions, and deformed thickness. This was achieved by implementing an in-house SPH method based particle code employing a Lagrangian algorithm, and an FE model incorporating the dynamic explicit algorithm implemented (in ABAQUS) to carry out nano-scratching simulations. The investigation revealed that the cutting mechanism transitioned to ploughing when the scratching depth decreased to 30% of the tip radius for OFHC-Cu workpiece material machined with a diamond tip. The dominance of normal forces over cutting forces during scratching indicated the side flow of material in the vicinity of the tip radius under intense contact pressure. The ploughing mechanism exhibited more sensitivity at a higher negative rake angle of 60°. Increased scratching depth and tip radius led to more significant material deformation owing to the induction of higher cutting forces, with the maximum deformation thickness 3.6 times the tip radius. The simulated results demonstrated favourable concordance with the experimental data.

A diffused double-layer model of bulk nanobubbles in aqueous NaCl solutions

Bulk nanobubbles, known for their extraordinary stability due to their electrically charged surface, still have an elusive mechanism. This research examines the surface electrical properties of oxygen nanobubbles in various NaCl solution concentrations, utilizing a diffused double-layer model. The process involves the creation of nanobubbles through the hydrodynamic cavitation technique, followed by an assessment of their size and zeta potential. To quantify their influence on nanobubble stability, the thickness of the double layer, the density of surface charge, electrostatic repulsion and attractive force, and interaction energy between bubbles are evaluated. The results show that adding NaCl to nanobubble solutions increases bubble size while decreasing their negative zeta potential, minimizing repulsive electrostatic interactions among the bubbles. These findings are consistent with the diffused double-layer theory. Specifically, higher NaCl concentrations in solutions lead to thinner double layers and decreased energy barriers. Observing nanobubble stability in a 10 mM NaCl solution over six months reveals a decrease in bubble size accompanied by an increase in zeta potential. This rise in negative zeta potential correlates with changes in Debye length and ionic strength, inversely proportional to the solution's conductivity, likely due to reduced NaCl concentration over time. Furthermore, the pressure differential at the bubble interface is insufficient to overcome the pressure caused by the liquid's surface tension, indicating potential limitations in applying the diffused double-layer model. This highlights the need for further investigation to establish a more comprehensive understanding of the mechanical stability of bulk nanobubbles.

Numerical investigation of blast loading effects on a thin-walled cylindrical steel storage tank

Cylindrical storage vessels with thin walls are extensively utilized across various industrial sectors, including oil, gas, and petrochemicals, serving as crucial repositories for substances relevant to these industries. However, their susceptibility to fire and explosions underscores the need for comprehensive understanding and mitigation strategies. Amidst the escalating frequency of subversive attacks, regional conflicts, and other destabilizing events, a thorough comprehension of blast loading dynamics becomes paramount. These imperatives are compounded by recent occurrences, notably the cataclysmic explosion at the Beirut port in 2020 and the conflagration at a chemical plant in Texas in 2019, which starkly emphasize the pressing necessity for enhanced safety protocols. Thin-walled structures are particularly vulnerable to explosions, making the prediction of their response crucial. This study focuses on developing a computational model tailored for a horizontally oriented, simply supported, thin-walled water storage tank, utilizing advanced Abaqus/Explicit software. The primary objective is to investigate the impact of water when exposed to the explosive load generated by a 50 kg-TNT detonation at a distance of 0.50 m. The novelty of this work lies in the integration of advanced computational techniques, including the use of ConWEP 2.0, a sophisticated software framework developed by the U.S. Army, which integrates established formulations outlined by Kingery and Bulmash, as well as the employment of the Jones-Wilkins-Lee (JWL) Equation-of-State (EOS) alongside a sophisticated Smoothed-Particle Hydrodynamics (SPH) technique. The results reveal a significant reduction in deformation and damage inflicted upon the storage tank when subjected to explosive forces, attributed to the presence of water. This crucial finding highlights the effectiveness of water inclusion in enhancing the structural resilience of these tanks against potentially catastrophic blasts, thereby providing valuable insights for improved safety and durability in industrial environments.

The Role of Acyl-CoA Synthetase 1 in Bioactive Lipid Accumulation and the Development of Hepatic Insulin Resistance.

The liver plays a crucial role in glucose metabolism. Obesity and a diet rich in fats (HFD) contribute to the accumulation of intracellular lipids. The aim of the study was to explore the involvement of acyl-CoA synthetase 1 (ACSL1) in bioactive lipid accumulation and the induction of liver insulin resistance (InsR) in animals fed an HFD. The experiments were performed on male C57BL/6 mice divided into the following experimental groups: 1. Animals fed a control diet; 2. animals fed HFD; and 3. HFD-fed animals with the hepatic ACSL1 gene silenced through a hydrodynamic gene delivery technique. Long-chain acyl-CoAs, sphingolipids, and diacylglycerols were measured by LC/MS/MS. Glycogen was measured by means of a commercially available kit. The protein expression and phosphorylation state of the insulin pathway was estimated by Western blot. HFD-fed mice developed InsR, manifested as an increase in fasting blood glucose levels (202.5 mg/dL vs. 130.5 mg/dL in the control group) and inhibition of the insulin pathway, which resulted in an increase in the rate of gluconeogenesis (0.420 vs. 0.208 in the control group) and a decrease in the hepatic glycogen content (1.17 μg/mg vs. 2.32 μg/mg in the control group). Hepatic ACSL1 silencing resulted in decreased lipid content and improved insulin sensitivity, accounting for the decreased rate of gluconeogenesis (0.348 vs. 0.420 in HFD(+/+)) and the increased glycogen content (4.3 μg/mg vs. 1.17 μg/mg in HFD(+/+)). The elevation of gluconeogenesis and the decrease in glycogenesis in the hepatic tissue of HFD-fed mice resulted from cellular lipid accumulation. Inhibition of lipid synthesis through silencing ACSL1 alleviated HFD-induced hepatic InsR.

Study on meso‑mechanical properties and failure mechanism of soil-rock mixture based on SPH model

This study adopts the Smoothed Particle Hydrodynamics (SPH) technique to accurately and efficiently replicate and forecast the mesoscopic behavior of soil-rock mixtures (SRM). It introduces a novel approach for generating rock blocks within the SRM, utilizing a method that randomly selects angles and lengths. In addition, this research proposes a method for discretizing any shaped region into free particles with specific material attributes, named the regional medium particle discretization method. It incorporates the Drucker-Prager constitutive model to develop the SPH numerical model for SRM. Furthermore, it examines the effects of different rock sizes and rock contents on the SRM's failure characteristics and mechanical properties. The findings revealed that, for identical rock contents, smaller rock samples exhibit a more dispersed failure surface with numerous secondary shear bands, whereas larger rock samples display a smoother and more concentrated failure surface. As the rock content decreases, shear bands typically form in the sample's center and are relatively straight. However, as the rock content increases, the shear bands' configuration becomes more intricate, often featuring multiple shear bands. This method offers a fresh perspective for exploring the mechanical properties of heterogeneous materials.

A Synergistic Use of Remote Sensing and Hydrodynamic Techniques for Flash Flood Mitigation Toward Sustainable Urban Expansion in Najran Valley, Saudi Arabia

A Synergistic Use of Remote Sensing and Hydrodynamic Techniques for Flash Flood Mitigation Toward Sustainable Urban Expansion in Najran Valley, Saudi Arabia

3D SPH analysis of focused waves interacting with a floating structure

In recent years, the number of offshore floating structures has been growing and is expected to continue growing. Due to climate change, the frequency and severity of extreme waves are increasing. Numerical models can be a strategic tool in the reliable design and optimization of marine structures. However, the number of numerical parameters to be tuned plays a crucial role, as they could limit the model’s applicability and reliability. Furthermore, there are many challenges in modelling wave-structure interaction. Among these challenges, the simulation of one-dimensional tethers is of great concern when dealing with moored floating structures. In this study, a 3D numerical model is developed based on the Smoothed Particle Hydrodynamics (SPH) technique. This hydrodynamic model is coupled with a multi-body solver for the dynamic analysis of moorings and structures. In a three-dimensional numerical flume, focused ocean waves are generated with a piston-type wave-maker and propagated until impact with the floating structure. The developed model predicts the wave profile, impact forces, and structural dynamics, and is validated by comparing numerical results against experimental data.

Mixing Sinc kernels to improve interpolations in smoothed particle hydrodynamics without pairing instability

ABSTRACT The smoothed particle hydrodynamic technique is strongly based on the proper choice of interpolation functions. This statement is particularly relevant for the study of subsonic fluxes and turbulence, where inherent small errors in the averaging procedures introduce excessive damping on the smallest scales. To mitigate these errors, we can increase both the number of interpolating points and the order of the interpolating kernel function. However, this approach leads to a higher computational burden across all fluid regions. Ideally, the development of a single kernel function capable of effectively accommodating varying numbers of interpolating points in different fluid regions, providing good resolution and minimal errors would be highly desirable. In this work, we revisit and extend the main properties of a family of interpolators called Sinc kernels and compare them with the widely used family of Wendland kernels. We show that a linear combination of low- and high-order Sinc kernels generates good-quality interpolators, which are resistant to pairing instability while maintaining good sampling properties in a wide range of neighbour interpolating points, 60 ≤ nb ≤ 400. We show that a particular case of this linear mix of Sincs produces a well-balanced and robust kernel that improves previous results in the Gresho–Chan vortex experiment even when the number of neighbours is not large, while yielding a good convergence rate. Although such a mixing technique is ideally suited for Sinc kernels owing to their excellent flexibility, it can be easily applied to other interpolating families such as the B-splines and Wendland kernels.

Influence of sand moisture content on mixed service truck tire performance using advanced hybrid techniques

This paper focuses on investigating the effect of sand moisture content on the performance of a Mixed Service Drive (MSD) truck tire of size 315/80R22.5. The truck tire is modeled using multiple layers and materials within a Finite Element Analysis (FEA) environment. Moist sand is modeled using the Smoothed-Particle Hydrodynamics (SPH) technique. Initially, dry sand is modeled using a hydrodynamic elastic-plastic material, while water is modeled using the Murnaghan equation of state. The numerical interaction between the sand and water is identified using Darcy’s law. The moisture content of the sand is then calibrated using direct shear-strength tests and validated against physical measurements conducted in a laboratory under similar sand conditions. The tire-sand interaction is defined using a hybrid FEA-SPH interaction model, and a non-symmetric node-to-segment contact with edge treatment contact algorithm. The tire tractive performance including tractive effort, motion resistance coefficient, and tire sinkage was examined under various operating conditions, including different sand moisture content levels and tire longitudinal speeds.

Numerical implementation of the hypoplastic model for SPH analysis of soil structure development in extremely large deformation

The extremely large deformation of soil is a significant challenge due to the dynamic changes in soil structure, but it is poorly understood owing to inadequate effective numerical methods. This paper presents a numerical method for analysing the responses of sand-like granular soil undergoing extremely large deformation. The proposed method utilizes the Smoothed Particle Hydrodynamics (SPH) technique, which is a meshfree particle-based approach capable of circumventing the computational difficulties associated with mesh distortion. The Gudehus-Bauer (G-B) hypoplastic model, which can capture the pressure- and density- dependent mechanical behaviour of granular soil, is implemented into the in-house developed SPH code. Concerning the characteristics of large deformation, the Green-Naghdi rate is applied in this study to achieve objective stress integration. An adaptive explicit stress integration scheme, termed Modified Euler automatic Substepping with Error Control (M-E-SEC) is utilized to handle the time integration of the SPH equation system. Additionally, a stability correction method is introduced to suppress the breakdown problem that occurs at low-stress states. The effectiveness of the proposed method is validated by experimental data. Furthermore, several numerical examples are presented to elucidate the evolution of shear band structures in granular soils subject to extremely large deformation levels.

High-Throughput 3D Imaging Flow Cytometry of Suspended Adherent 3D Cell Cultures.

3D cell cultures are indispensable in recapitulating in vivo environments. Among the many 3D culture methods, culturing adherent cells on hydrogel beads to form spheroid-like structures is a powerful strategy for maintaining high cell viability and functions in the adherent states. However, high-throughput, scalable technologies for 3D imaging of individual cells cultured on the hydrogel scaffolds are lacking. This study reports the development of a high throughput, scalable 3D imaging flow cytometry platform for analyzing spheroid models. This platform is realized by integrating a single objective fluorescence light-sheet microscopy with a microfluidic device that combines hydrodynamic and acoustofluidic focusing techniques. This integration enabled unprecedentedly high-throughput and scalable optofluidic 3D imaging, processing 1310 spheroids consisting of 28 117 cellsmin-1. The large dataset obtained enables precise quantification and comparison of the nuclear morphology of adhering and suspended cells, revealing that the adhering cells have smaller nuclei with less rounded surfaces. This platform's high throughput, robustness, and precision for analyzing the morphology of subcellular structures in 3D culture models hold promising potential for various biomedical analyses, including image-based phenotypic screening of drugs with spheroids or organoids.

(Invited) Probing the Oxygen Reduction and Hydrazine Oxidation Reactions Using Transient Amperometric Techniques

The kinetics of electrochemical reactions affected by mass transfer is often investigated by rotating disc electrode (RDE) and rotating ring disc electrodes. However, these hydrodynamic techniques require electrodes that can be shaped into a disk or catalysts that can be drop casted on the surface of a disk electrode. Instead, transient amperometric techniques such as chronoamperometry and sampled current voltammetry (SCV) hold potential to investigate the kinetics of reactions without such requirements.In SCV, a series of chronoamperograms are recorded for a range of target potentials, and the current sampled at a fixed time or over a range of time scales. Sampled current voltammograms are obtained by plotting the selected currents vs the target potentials. 1-3 As we demonstrated recently with ferri/ferrocyanide ions and with oxygen reduction reaction (ORR) on Pt polycrystalline disk electrode, proper selection of the sampling times leads to the same mass transfer coefficients as in the RDE, and so the obtained SCV are equivalent to the linear sweep voltammograms recorded with a RDE. 4 Moreover, the kinetically controlled current can be extracted from the current transients, by plotting the inverse of the current vs the square root of time and by extrapolating to infinitely short times (large mass transfer coefficients). Tafel analysis can then be conducted. 4 In this talk, we will first present how these transient amperometric techniques were used to investigate the oxygen reduction on Au (001) thin films with different thicknesses grown on insulating MgO (001) substrates. 5 It will be shown that SCV is sensitive to the structure and to themosaicity of the thin films, and thus suitable to establish reactivity structure relationships. Then, we will show some of our recent work on the hydrazine oxidation on Au and Pt polycrystalline surfaces. 6 References [1] A. J. V and L. R. Faulkner, Electrochemical methods: Fundamentals and Applications; Wiley, 2001.[2] S.C. Perry and G. Denuault, Phys. Chem. Chem. Phys. 17, 30005 (2015).[3] L. Mignard, M. Denoual, O. Lavastre, D. Floner and F. Geneste, J. Electroanal. Chem., 689, 83 (2013).[4] C. O. Soares, O. Rodríguez, G. Buvat, G., M. Duca, S. Garbarino, D. Guay, G. Denuault and A. C. Tavares, Electrochim. Acta, 362, 136946 (2020).[5] C. O. Soares, G. Buvat, Y. G. Hernández, S. Garbarino, M. Duca, A. Ruediger, G. Denuault, A. C. Tavares and D. Guay, ACS Catal 12, 1664 (2022).[6] D. Kashyap, C. O. Soares, A. C. Tavares, G. Denuault, D. Guay, in preparation. Acknowledgements This work was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC, Strategic Partnership program). Cybelle Oliveira Soares acknowledges the FRQNT funding by means of the PBEEE merit scholarship and an internship received from the Engineered Nickel Catalysts for Electrochemical Clean Energy project administered from Queen’s University and supported by Grant No RGPNM 477963-2015 under the NSERC Discovery Frontiers Program.

Emerging Trends in Wastewater Treatment of Semiconductor Industry: A Review

The semiconductor industry produces a lot of wastewater. These wastewaters can affect the environment if they are not treated. As a result, one of the semiconductor industry’s primary concerns and duties is the treatment and disposal of wastewater from the industry. Many processes, including electrocoagulation, electro-adsorption, and coagulation-flocculation using both natural and synthetic coagulants, have been invented over the years for purifying semiconductor effluent. The long-term viability of this system is unknown although it generates solid by-products (sludge) and requires routine sludge disposal, both of which raise the operational expenses of effluent treatment. Thus, a sustainable alternative method of removing contaminants from the semiconductor industry is needed to advance toward pollution prevention and green innovation. The hydrodynamic cavitation technique has improved over time and is useful for treating water and wastewater. This article gives an insight into different wastewater technologies, so proper technology must be chosen.

Galaxy formation and evolution

Galaxies as the most important structures in the universe and Galaxy formation is a sequential redistribution process.The basic picture of galaxy formation was first proposed by White and Rees.The physical processes involved in galaxy formation are very numerous and complex. We know very little about most of these processes. Therefore, we can only describe them with a few empirical formulas. In this article the popular simulation techniques for galaxy formation are discussed in detail, based on the most recently observed cosmic star formation history. This study will focus mostly on the goals of galaxy development by describing the processes of star formation, gas dispersion, dark matter, and galaxy correlation. In this paper, we do not study the formation process of a specific galaxy, but focus on the formation process of a large sample of galaxies in the framework of the whole cosmology We are also concerned not with the specific properties of a particular galaxy, but with the statistical properties of the whole sample of galaxies.Therefore the paper will next explore hydrodynamic techniques such as N-body simulation, other modified f (R) gravity models, smoothed-particle hydrodynamic simulation, and semi-analytic models to mimic the process of galaxy formation. This article finishes with a summary of galaxy formation.

Influence of low temperature hydrodynamic cavitation treatment on shelf life of ascorbic acid‐treated sugarcane juice

AbstractSugarcane juice has a lower shelf life owing to enzymatic browning as well as microbial activity. To overcome these issues, fresh sugarcane juice was treated with ascorbic acid, a strong antioxidant, and further subjected to low‐temperature hydrodynamic cavitation (LTHC) treatment at 4°C/.35 MPa for 30 min. The AALHC‐treated juice was filled into PET bottles and stored under atmospheric (25 ± 5°C) and refrigerated (4 ± 1°C) conditions. The changes in reducing sugar, total sugar, color (ΔE), microbial load, total phenolic content, total flavonoid content, and antioxidant activity of sugarcane juice during the storage period were evaluated. During the storage, better retention of the quality parameters was observed in the AALTHC processed sugarcane juice followed by AA‐treated sugarcane juice and fresh sugarcane juice. Under the atmospheric storage, fresh juice and AA‐treated juice were spoiled within a day, whereas the AALTHC‐treated sugarcane juice could last for 4 days. On the other hand, under the refrigerated storage conditions (4 ± 1°C), the quality of the fresh and AA‐treated sugarcane juice could last only for a week, while the quality of AALTHC could be maintained up to 42 days.Practical ApplicationsThe current study aims to improve the shelf life of sugarcane juice by low‐temperature orifice‐based hydrodynamic cavitation. Sugarcane juice has a short shelf life owing to high levels of microbiological contamination and enzymatic reactions that begin immediately following extraction. The use of hydrodynamic cavitation technique enables a significant reduction in microbial load as well as spoilage enzymes, with minimum effect on the nutrient profile and sensory qualities. The treatments presented in this study are successful, inexpensive, more practicable, and long‐term enough to be scaled up for larger‐scale production of sugar cane juice. The outcomes of this study may be useful for developing a fortified beverage industry employing low‐temperature hydrodynamic cavitation.