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Hydrostatic Pressure

Hydrostatic Pressure refers to the pressure exerted by a fluid at rest.
This pressure is equal in all directions and acts perpendicular to any surface within the fluid.
Hydrostatic pressure is an important factor in numerous scientific and engineering applications, including the design of hydraulic systems, the study of biological processes, and the analysis of geological formations.
Understanding the principles of hydrostatic pressure is crucial for optimizing research protocols and enhancing the reproducibility of experiments in these fields.
PubCompare.ai's AI-driven platform can help researchers locate the best protocols from literature, pre-prints, and patents, as well as improve their research outcomes through intelligent comparisons and analysis of hydrostatic pressure experiments.

Most cited protocols related to «Hydrostatic Pressure»

For closed-environment format, microfluidic devices were first infused with PBS and pressurized to remove air bubbles inside the microwells using a manually operated syringe with outlet closed. The devices were filled with 1% BSA in PBS, and incubated at room temperature for 30 min to prevent attachment of cells and molecules on PDMS surfaces. Devices were then washed with PBS prior to cell and bead loading. To establish gravity-driven flow, device outlet was connected to a 10′ tubing with a one way stopcock connected at the end while the device inlet is left unconnected to serve as a reservoir. In this configuration, solutions were simply pipetted onto the inlet reservoir and withdrawn into the device through gravity-driven flow by adjusting the height difference between the inlet and the end of the tubing connected to outlet. The one way stopcock further allowed start/stop control over the fluid flow to facilitate cell and bead loading. Similarly, the flow could also be reversed by creating a higher hydrostatic pressure on the outlet side by adjusting the height of the tubing. During scRNA-seq experiments, a single cell suspension, 5000–10 000 cells in 50 μl PBS + 1%BSA solution, was pipetted on the inlet and withdrawn into the device. Once the channel was completely filled with cell solution, the fluid flow was stopped and cells were allowed to settle by gravity. Excess cells were washed out by PBS, and mRNA capture beads, 30 000–120 000 beads in 50–150 μl, were loaded similar to cells. Size exclusion and back-and-forth loading ensured loading of >99% of the microwells with a single bead. Excess beads were washed out with PBS, and 100–200 μl freeze-thaw lysis buffer was introduced into the devices. Fluorinated oil (Fluorinert FC-40), 100–200 μl in volume, was then withdrawn into the devices to seal the microwells. After oil sealing, the tubing at the outlet was disconnected, and the microfluidic devices were exposed to three freeze thaw cycles, 5 min freezing at –80°C freezer or dry ice/ethanol bath and 5 min thawing at room temperature. Following lysis, microfluidic device was incubated for an hour inside a wet chamber for mRNA capture onto beads. mRNA binding occurs in the freeze-thaw lysis buffer without the need for buffer exchange. After incubation, the inlet of the microfluidic device was connected to a syringe filled with 6× saline-sodium citrate (SSC) buffer and the outlet was connected to eppendorf tube with a tubing. The microfluidic device was then inverted and the beads were flushed out of the device into the tube by purging. Centrifugation of the microfluidic device in inverted orientation before purging or gentle tapping on the back of the microfluidic device with a tweezer during purging was used to help move the beads out of the microwells. We were able to recover >95% of the beads using this fashion. Collected beads were centrifuged at 1000g for 1 min, and washed twice with 6× SSC buffer prior to reverse transcription.
Publication 2018
Bath Buffers Cell-Matrix Junction Cells Centrifugation Dry Ice Ethanol Fluorinert Freezing Gravity Hydrostatic Pressure Medical Devices Microchip Analytical Devices Reverse Transcription RNA, Messenger Saline Solution Single-Cell RNA-Seq Sodium Citrate Syringes

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Publication 2013
Adult Arteries Atmospheric Pressure BLOOD Fentanyl Hydrostatic Pressure Hypoventilation Males Partial Pressure Perfusion Rats, Sprague-Dawley Rattus Respiratory Rate Saline Solution
A structural-based model for the effective (tissue-level) mechanical behavior of the RVFW was developed as follows. We idealize the RV myocardium as primarily composed of two major material phases: a dense fibrous phase and a non-fibrous substance. The fibrous phase is subdivided into two mechanically relevant fiber constituents: myo- and collagen fibers. Here, we make a further distinction between two sub-groups of collagen fibers: the “large” perimysial collagen fibers that were observed to run nearly parallel to myofibers (Fig. 3a), and the “fine” endomysial collagen fiber network that surrounds individual myofibers as well as interconnects extensively with the large collagen fibers (Figs. 3a,b) (Borg and Caulfield 1981 (link); Borg et al. 1983 (link)). Also, the non-fibrous phase, referred to as the matrix phase, includes remaining mechanically insignificant substances such as vasculature, neural tissues, myofibroblasts, etc. This phase together with the fluid phase are assumed to be responsible for the incompressibility of the tissue and are combined into one single phase.
Based on these structural idealizations, we first consider a representative tissue element (RTE) of RVFW treated as a 3D continuum. The RTE is assumed to be large enough to represent the properties associated with the myocardial microstructure in an average sense, yet small compared to the characteristic length scale of the RVFW (typical RTE size was 3mm × 3mm × 0.5 mm). Upon application of external loading, a material point X in the reference configuration of the RTE moves to a new point x = X(x,t) at time t in the deformed configuration of the RTE. The deformation gradient tensor F = Gradx serves to characterize the deformation of the material. The tissue-level right Cauchy-Green tensor is defined as C = FTF, and the tissue-level Green-Lagrange strain tensor is given by E = (CI) / 2, where I is the identity tensor.
Ignoring any time-dependency effects, each constituent phase is assumed to exhibit a pseudo-hyperelastic behavior (Fung 1993 ), so that the effective mechanical behavior of the RVFW in loading can be described by a strain energy function Ψ(C). In this work, we assume the affine kinematics for tissue constituents, i.e. the fibers and matrix phases undergo the same deformation applied to the tissue (Fan and Sacks 2014 (link); Lanir 1983b (link); Lee et al. 2015 (link)). The total energy function can be written as the sum of the mechanical contribution of the ground matrix and embedded fibers, as
Ψ(C)=ϕgΨg(C)+ϕmΨm(C)+ϕcΨ¯c(C)=ϕgΨg(C)+ϕmΨm(C)+ϕc[Ψc(C)+Ψmc(C)],
where Ψg, Ψm and Ψ̄c are the strain energy functions associated with the ground matrix phase, myofibers, and collagen fibers. The energy term Ψ̄c has contributions from large (perimysial) collagen fibers and fine (endomysial) collagen fiber network (Fig. 3b). The latter is hypothesized to drive the interaction (coupling) between myofiber and (large) collagen fibers. Therefore, two terms Ψc and Ψm-c in (6) are designated to capture the mechanical contribution of large collagen fibers and their interaction with myofibers. Note that ϕc in (6) represents the total volume fraction of both groups of collagen fibers (as we were able to measure in our experimental analysis). The accurate calculation of amount of energy generated in each group of collagen fibers will be still due to the knowledge of sub-fraction of each collagen group which is absorbed in the respective term in the form (6). Such information is not currently available, however the form (6) is still useful to estimate the contribution of each fiber group to the total energy.
At the tissue level, the second Piola-Kirchhoff stress tensor S can be described in terms of the energy function Ψ(C), through
S=2ΨCpC1=Sg+Sm+Sc+Smc,
where Sg = 2ϕg∂Ψg (C) / ∂C −pC−1, Sm = 2ϕm ∂Ψm (C) / ∂C, Si = 2ϕc ∂Ψi(C) / ∂C (i=c, m-c), and p is the unknown hydrostatic pressure to enforce det(C)= 1. In the following, we describe the behavior of each constituent phase.
Publication 2016
A Fibers Collagen Fibrosis Hydrostatic Pressure Indium Myocardium Myofibroblasts Nerve Tissue Strains Tissues
Hydrostatic Filtration Dialysis (HFD): A schematic representation of the methodology used for vesicle isolation is shown in figure 1. Pooled urine samples (50 ml per tube) were centrifuged at a Relative Centrifugal Force (RCF) of 2,000 g calculated at average radius of 100 mm in a swing bucket rotor Benchtop Universal 320 centrifuge (Hettich Zentrifugen, Tuttingen, Germany) for 30 min at room temperature (RT) (without braking). The supernatant (SN) ~ 0.5l was poured in a separating funnel connected with a dialysis membrane made of cellulose ester (CE) with molecular weight cut-off (MWCO) of 1,000 kDa (Spectra/Por Biotech MWCO 1,000,000 MWCO Catalogue number 131486; Spectrum Laboratories, Ca) (Supplemental Fig. 1).
The hydrostatic pressure of the urinary solution in the funnel pushes the solvent (water) through the mesh of dialysis membrane (filtration), together with all the analytes below the selected MWCO. After the first step resulting in sample concentration, the separating funnel was refilled with 200 ml of deionised filtrate (0.22 µm) water (R ≥ 18.2 MΩ·cm, mQ water) to rinse away remaining analytes below the MWCO until the volume of 5–8 ml of volume is reached. This filtration-concentration-dialysis process is called “hydrostatic filtration dialysis(HFD).
HFD and differential centrifugation:The retained solution above the 1,000 kDa cut-off (HFDa) (5 ml) was then centrifuged at 5,000 g, 20,000 g and/or 40,000 g calculated at maximum radius 105 mm of a fixed angle JA-20 rotor (clearing factor or k factor = 770) (Beckman Coulter, Fullerton, Ca) for 1 h at RT. The retained 40,000 g supernatant (SN) fraction (5 ml) was then ultracentrifuged at 200,000 g calculated at maximum radius 91.9 mm of 70 Ti fixed-angle rotor (k factor = 44) (Beckman Coulter) for 2 h (RT) using a Beckman XL-80 Ultracentrifuge (Beckman Coulter). All the pellets were re-suspended in mQ water. For a pilot study, HFDa from the starting urinary volumes of 15, 50, 100 and 200 ml were concentrated to 3 ml. After determining the protein concentration, an equal amount of total protein was loaded in polycarbonate centrifugation tubes (3 ml). Ultracentrifugation was performed at 200,000 g calculated at the maximum radius 82.0 mm of 70.1Ti fixed-angle rotor (k factor = 36) (Beckman Coulter) for 2 h at RT.
Differential centrifugation and HFD: Comparative analysis was performed according to Fernández-Llama and colleagues15 (link). Pellets from 2,000 g and 17,000 g were resuspended in 10 ml of 250 mM sucrose, 10 mM triethanolamine pH7.6 and 200 mg/ml of DTT for 10 minutes at 37°C vortexing every 2 minutes. Centrifugations at 17,000 g (42 ml per tube of urine and 10 ml of dithiothreitol (DTT) fraction) were performed in a fixed angle JA-20 rotor (clearing factor or k factor = 770) (Beckman Coulter) for 30 min at RT. RCF were calculated at average radius of 70 mm. Ultracentrifugations (16,5 ml urine per tube and 10 ml of DTT fraction) were performed at 200,000 g calculated at maximum radius 91.9 mm of 70 Ti fixed-angle rotor (k factor = 44) (Beckman Coulter) for 2 h (RT) using a Beckman XL-80 Ultracentrifuge (Beckman Coulter). All the final pellets were resuspended in 1 ml of purified water. The final SNs were poured in HFD system and processed as described above. Conversely, the urine solution below the 1,000 kDa cut-off (HFDb) was ultracentrifuged (16.5 ml per tube) at 200,000 g calculated at maximum radius 91.9 mm of 70 Ti fixed-angle rotor (k factor = 44) (Beckman Coulter) for 2 h (RT) using a Beckman XL-80 Ultracentrifuge (Beckman Coulter).
Publication 2014
Cellulose Centrifugation Dialysis Dithiothreitol Esters Filtration G Force Hydrostatic Pressure isolation JA 20 Llamas Pellets, Drug polycarbonate Proteins Radius Solvents Sucrose Tissue, Membrane triethanolamine Ultracentrifugation Urine
Ninety subjects (40 men and 50 women) were studied. All subjects lived in Chonnam Province. They were mainly members of the Chonnam University Hospital, medical students, relatives of patients, and persons visiting the hospital for regular physical checkups.
Subjects were screened to select a population of disease-free nonsmokers. Normal was defined as having no history of (1) smoking, (2) asthma, chronic bronchitis, pneumonia or cardiac disease, (3) persistent cough, (4) recent treatment for any respiratory or cardiac symptoms, (5) chest injury or operation, (6) working in a polluted atmosphere for any extended period, finally, no evidence of cardiopulmonary disease on a physical examination, an EKG, or a chest radiograph.
Height, weight, and hemoglobin concentration were measured. The DLCO was measured by the modified Krogh’s single-breath method, using the SRL 1000IV Computerized Pulmonary Function Laboratory, Gould Co., USA.
With the subjects in the sitting position, their noses were clamped and initial maximal exhalation was followed by maximal inhalation of the test gas (contained 0.3%CO and 10%He). After a 10-second holding of the breath the exhaled gas was collected in a sample bag, and the sampling was analyzed for CO and He. Then the DLCO was calculated as follows:
DLCO=VA×60(PB47)(t2t1)×Ln(FACOt1)(FACOt2)

VA: Alveolar volume (STPD)

60: Correction from seconds to minutes

PB: Barometric pressure

47: Water vapor pressure (PH2O)

t2–t1: Breath holding interval

Ln: Natural logarithm

FACOt1: Fraction of CO in alveolar gas before diffusion

FACOt2: Fraction of CO in alveolar gas at the end of diffusion

Because the inspired gas was dry, an ATPD to BTPS correction factor was used. Units for DLCO were ml CO(STPD)/min/mmHg, and for DLCO/VA, ml CO(STPD)/min/mmHg/L(BTPS). Because changes in the hemoglobin concentration have a calculable effect on total CO diffusion, the measured DLCO and DLCO/VA were normalized to a standard hemoglobin value according to Cotes equation.8) CorrectedDLCO=Hgb+10.221.7Hgb×measured DLCO
The correlations based on the diffusion capacity of the lung and the physical characteristics, such as age, height, weight and body surface area were observed. And prediction formulas were derived from the variables for both sexes, using a computer system (SPSS Batch System).
Publication 1986
Asthma Atmosphere Body Surface Area Breath Tests Bronchitis, Chronic Cor Pulmonale Cough Diet, Formula Diffusion Gender Heart Heart Diseases Hemoglobin A Hydrostatic Pressure Inhalation Therapy Lung Lung Capacities Neoplasm Metastasis Non-Smokers Nose Patients Physical Examination Pneumonia Radiography, Thoracic Students, Medical Thoracic Injuries Woman

Most recents protocols related to «Hydrostatic Pressure»

Not available on PMC !

EXAMPLE 8

A protected particle was formed of a base particle having an average diameter of 20 μm. The base particle is a hollow sphere having a shell thickness of 1 μm. The interior pressure in the hollow cavity of the base particle is 14.7 psi. The density of the base particle is 0.38 g/cc and the crush strength of the base particle is 1,500 psi. The outer surface of the base particle was coated with a PLGA by suspension deposition. The coating thickness was 18 μm. The protected particle had a crush strength of about 8000 psi. The protected particles were subjected to well conditions of 30,000 ppm brine solution at a pH of 7.5, a temperature of 90° C., and under 6,000 psi hydrostatic pressure. After about 12 hours and over the period of 2 hours thereafter, the base particles were fractured or crushed. The acoustic sound or emission created by the fractured or crushed base particles had a traceable harmonic resonant frequency peak at 3,000 Hz. As is evident from Examples 7 and 8, the protected particle can be tailored by using different sized base particles to create a certain frequency or range of frequencies when the base particle fractures or crushes.

Patent 2024
Acoustics Dental Caries Fracture, Bone Hydrostatic Pressure Polylactic Acid-Polyglycolic Acid Copolymer Pressure Sound Training Programs

EXAMPLE 10

A protected particle was formed of a base particle having an average diameter of 40 μm. The base particle is a hollow sphere having a shell thickness of 1 μm. The interior pressure in the hollow cavity of the base particle is 1000 psi. The density of the base particle is 0.39 g/cc. The outer surface of the base particle was coated with a PVA by suspension deposition. The coating thickness was 68 μm. The protected particle had a crush strength of about 8000 psi. The protected particles were subjected to well conditions of 10,000 ppm brine solution at a pH of 8, a temperature of 80° C., and under 6,000 psi hydrostatic pressure. After about 36 hours and over the period of 72 hours thereafter, the base particles were fractured or crushed. The acoustic sound or emission created by the fractured or crushed base particles had a traceable harmonic resonant frequency peak at 600 Hz. As is evident from Examples 9 and 10, the protected particle can be tailored by using certain pressures in the hollow cavity of the base particle to create a certain frequency or range of frequencies when the base particle fractures or crushes.

Patent 2024
Acoustics Dental Caries Fracture, Bone Hydrostatic Pressure Sound Training Programs

EXAMPLE 7

A protected particle was formed of a base particle having an average diameter of 40 μm. The base particle is a hollow sphere having a shell thickness of 1 μm. The interior pressure in the hollow cavity of the base particle is 14.7 psi. The density of the base particle is 0.38 g/cc and the crush strength of the base particle is 1,500 psi. The outer surface of the base particle was coated with a PLGA by suspension deposition. The coating thickness was 60 μm. The protected particle had a crush strength of about 8000 psi. The protected particles were subjected to well conditions of 30,000 ppm brine solution at a pH of 7.5, a temperature of 90° C., and under 6,000 psi hydrostatic pressure. After about 12 hours and over the period of 2 hours thereafter, the base particles were fractured or crushed. The acoustic sound or emission created by the fractured or crushed base particles had a traceable harmonic resonant frequency peak at 1,500 Hz.

Patent 2024
Acoustics Dental Caries Hydrostatic Pressure Polylactic Acid-Polyglycolic Acid Copolymer Pressure Sound Training Programs
Not available on PMC !

EXAMPLE 9

A protected particle was formed of a base particle having an average diameter of 40 μm. The base particle is a hollow sphere having a shell thickness of 1 μm. The interior pressure in the hollow cavity of the base particle is 14.7 psi. The density of the base particle is 0.38 g/cc. The outer surface of the base particle was coated with a PVA by suspension deposition. The coating thickness was 68 μm. The protected particle had a crush strength of about 8000 psi. The protected particles were subjected to well conditions of 10,000 ppm brine solution at a pH of 8, a temperature of 80° C., and under 6,000 psi hydrostatic pressure. After about 36 hours and over the period of 72 hours thereafter, the base particles were fractured or crushed. The acoustic sound or emission created by the fractured or crushed base particles had a traceable harmonic resonant frequency peak at 1,500 Hz.

Patent 2024
Acoustics Dental Caries Hydrostatic Pressure Pressure Sound Training Programs
The experiments were performed in a rotary-shear low- to high-velocity frictional testing machine equipped with a pressure vessel25 (link),33 (link) (Supplementary Fig. S1a, b). Main parts of the vessel are shown in Supplementary Fig. S1b. The rock used is dolerite named “Fengzhen black” from Inner Mongolia, north China. The dolerite cylinders for experiments were made by using a few tool machines including coring machine, cylindrical grinder, diamond saw and surface grinder. The samples ready for the experiments are 39.98 ± 0.01 mm in diameter and ~20 mm in length, with the edge near one of the end surfaces cut to form two parallel surfaces for the purpose of torque transmission (Supplementary Fig. S1c). The slip surfaces were roughened with 80# silicon carbide after being leveled carefully with a surface grinder. Some of such roughened level surfaces were further pitted with small holes of 2 mm in diameter and ~1.5 mm in depth. Both of these two kinds of slip surfaces (referred to as flat and pitted slip surfaces, respectively; Supplementary Fig. S1d) were used in the experiments to evaluate the effects of the amount of water within the simulated faults on TP weakening. The existence of the pits only results in a difference in the area of slip surface by 2.25 percent, so it only exerts negligible effects on the σn_eff for a given normal load. To suppress the sample failure due to thermal fracturing, for each rock cylinder, an aluminum ring tightly fitting around the cylinder was set about 2 mm away from the slip surface (Supplementary Fig. S1c).
The experimental conditions are summarized in Supplementary Table S1. In the experiments, the samples were immersed in deionized water of about 200 ml. We used a gas booster to pressurize pure nitrogen and a precision pressure-reducing regulator to control the nitrogen pressure at the upper part of the pressure vessel, through which the desired pore water pressure inside the vessel was obtained (Supplementary Fig. S1b). For a given set point of the pressure-reducing regulator, if the downstream pressure increases due to temperature rise or volume change, the poppet valve inside the regulator would be closed, making a closed system of the vessel during the experiments. It is worth noting that any changes in local pressure could be significantly buffered due to the high compressibility of nitrogen and the relatively large volume of water in the vessel. For the sample configuration we used, the pore pressure could impose a downward force (Fpp) that reduces the net axial loading on the slip surface. In the data processing, we used the recorded data of Pp and axial force from the air actuator (Fa), and the calibrated relation25 (link) between Fpp and Pp to determine σn_eff (= (FaFpp)/A = [Fa – (177.9*Pp [MPa] + 90.5)]/A, where A is the area of the slip surface). The changes in bulk Pp only brought about small deviations (<0.3 MPa) from the initial σn_eff during the experiments.
The sheathed thermocouple of 0.5 mm in diameter was used to monitor the temperature evolution in selected experiments. The thermocouple hole of 2 mm in diameter was drilled through the stationary rock cylinder, and the thermocouple was fixed in the hole by using the high-temperature waterproof adhesive, with its tip end exposing on the slip surface (Supplementary Fig. S1b, c).
In each experiment, before shearing the dolerite samples at the equivalent slip rate24 (link) of 2.0 m/s, we preslid the samples for two revolutions (~166 mm in equivalent displacement) under the slip rate of 5 mm/s and the normal stress same as that in the main test. This adjusts the alignment of rock cylinders and helps to get better quality experimental data.
Publication 2023
Aluminum Biological Evolution Blood Vessel Diamond Dietary Fiber Fever Fracture, Bone Friction Hydrostatic Pressure Nitrogen Partial Pressure Pressure Secondary Immunization Torque Transmission, Communicable Disease Van der Woude syndrome

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More about "Hydrostatic Pressure"

Hydrostatic pressure, also known as fluid pressure or static pressure, is a fundamental concept in various scientific and engineering disciplines.
It refers to the pressure exerted by a fluid or liquid at rest, which is equal in all directions and acts perpendicular to any surface within the fluid.
This pressure is an important factor in numerous applications, including the design of hydraulic systems, the study of biological processes, and the analysis of geological formations.
Understanding the principles of hydrostatic pressure is crucial for optimizing research protocols and enhancing the reproducibility of experiments in these fields.
One key application of hydrostatic pressure is in the design and operation of hydraulic systems, such as those used in industrial machinery, heavy equipment, and even in everyday household appliances.
The principles of hydrostatic pressure are used to transfer and amplify force, enabling the efficient operation of these systems.
In the biological sciences, hydrostatic pressure plays a crucial role in various physiological processes, such as the transport of fluids and nutrients within the body, the regulation of cell volume, and the maintenance of tissue integrity.
Understanding the effects of hydrostatic pressure on these processes is essential for research in areas like cell biology, physiology, and biomedicine.
Geological formations, such as sedimentary rocks and underground aquifers, are also influenced by hydrostatic pressure.
This pressure can affect the properties and behavior of these formations, including their permeability, porosity, and the flow of fluids through them.
Studying hydrostatic pressure in geological contexts is important for applications like oil and gas exploration, groundwater management, and the assessment of natural hazards.
To optimize research protocols and enhance the reproducibility of hydrostatic pressure experiments, researchers can utilize advanced tools and technologies, such as PubCompare.ai's AI-driven platform.
This platform can help researchers locate the best protocols from literature, pre-prints, and patents, as well as improve their research outcomes through intelligent comparisons and analysis of hydrostatic pressure experiments.
Additionally, researchers may employ a variety of other techniques and instruments, such as Collagenase D for tissue dissociation, MATLAB for data analysis, STS-VIS for visualization, FITC-dextran for permeability measurements, Quanta 200 FEG for high-resolution imaging, DNase I for nucleic acid removal, CO2 flow meters for gas flow control, PPMS for physical property measurements, and Transwell cell culture inserts for in vitro experiments.
By leveraging these tools and technologies, researchers can deepen their understanding of hydrostatic pressure and its applications, ultimately leading to more robust, reproducible, and impactful research in their respective fields.