All experimental procedures used in this study were approved by the Animal Care and Use Committee of USC. Female adult mice (12–16 weeks, C57BL/6) were anesthetized with urethane (1.2 g/kg) and sedative chlorprothixene (0.05 ml of 4 mg/ml), as previously described28 (link)–30 (link),39 (link). Lactated Ringer’s solution was administrated at 3 ml/kg/hour to prevent dehydration. The animal’s body temperature was maintained at ~37.5° by a heating pad (Havard Apparatus, MA). Trachotomy was performed to maintain a clear airway, and a ventilator (Havard Apparatus, MA) was connected. Cerebrospinal fluid draining was performed to prevent the cortex from swelling. The animal was placed in a custom-built stereotaxic holder. The part of the skull and dura mater (~1×1 mm) over the V1 was removed. Artificial cerebrospinal fluid solution (ACSF, containing (in mM) 140 NaCl, 2.5 KCl, 2.5 CaCl2, 1.3 MgSO4, 1.0 NaH2PO4, 20 HEPES, 11 glucose, pH 7.4) was applied onto the exposed cortical surface when necessary. Throughout the surgical procedure, the lids were sutured. After surgery, right eyelid was reopened and drops of 30k silicone oil were applied to prevent the eye from drying. The whole procedure of RF mapping was finished within 25 minutes. Previous studies showed that in nonparalyzed mice the drift of the measured RF was negligible within an hour, compared to the average RF size27 (link)–29 (link),39 (link). Our cell-attached recording also showed that the drift of the measured RF of single unit was never more than 2–3° per hour, so that the largely overlapped excitation was not due to the eye movement.
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Silicone Oils
Silicone Oils
Silicone Oils are a class of synthetic, inert fluids composed of silicon, oxygen, and various organic groups.
They are widely used in a variety of industrial and medical applications due to their unique properties, such as thermal stability, low surface tension, and biocompatibility.
Silicone Oils can be found in lubricants, cosmetics, medical devices, and more.
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Our platform allows you to easily locate and compare protocols from literature, pre-prints, and patents, using advanced AI-powered analysis to identify the most effective and reliable protocols and products.
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They are widely used in a variety of industrial and medical applications due to their unique properties, such as thermal stability, low surface tension, and biocompatibility.
Silicone Oils can be found in lubricants, cosmetics, medical devices, and more.
Discover how PubCompare.ai's AI-driven platform can help you optimize your research protocols and enhance reproducibility when working with Silicone Oils.
Our platform allows you to easily locate and compare protocols from literature, pre-prints, and patents, using advanced AI-powered analysis to identify the most effective and reliable protocols and products.
Improve the efficieny and quality of your Silicone Oils research with PubCompare.ai.
Most cited protocols related to «Silicone Oils»
Adult
Animals
Body Temperature
Cells
Cerebrospinal Fluid
Chlorprothixene
Cortex, Cerebral
Cranium
Dehydration
Dry Eye
Dura Mater
Eyelids
Eye Movements
Females
Glucose
HEPES
Kidney Cortex
Lactated Ringer's Solution
Mice, House
Operative Surgical Procedures
Sedatives
Silicone Oils
Sodium Chloride
Sulfate, Magnesium
Urethane
The detailed procedure has been published before20 (link),21 (link). In brief, mice were anesthetized by an intraperitoneal injection of Avertin (0.3mg/g) and received the SO (Alcon Laboratories, 1000 mPa.s) injection at 9–10 weeks of age. Prior to injection, one drop of 0.5% proparacaine hydrochloride (Akorn, Somerset, New Jersey) was applied to the cornea to reduce its sensitivity during the procedure. A 32G needle was tunneled through the layers of the cornea at the superotemporal side close to the limbus to reach the anterior chamber without injuring lens or iris. Following this entry, ~ 2µl silicone oil (1000 mPa s, Silikon, Alcon Laboratories, Fort Worth, Texas) was injected slowly into the anterior chamber using a homemade sterile glass micropipette, until the oil droplet expanded to cover most areas of the iris (diameter ~ 1.8–2.2mm). After the injection, veterinary antibiotic ointment (BNP ophthalmic ointment, Vetropolycin, Dechra, Overland Park, Kansas) was applied to the surface of the injected eye. The contralateral control eyes received 2 µl normal saline to the anterior chamber. During the whole procedure, artificial tears (Systane Ultra Lubricant Eye Drops, Alcon Laboratories, Fort Worth, Texas) were applied to keep the cornea moist.
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Antibiotics
Chambers, Anterior
Cornea
Eye
Hypersensitivity
Injections, Intraperitoneal
Iris
Lens, Crystalline
Lubricant Eye Drops
Mice, House
Needles
Normal Saline
Ointments
proparacaine hydrochloride
Silicone Oils
Sterility, Reproductive
tribromoethanol
All experiments were carried out at room temperature (22 ± 2 °C). Conventional electrochemical experiments were performed in a three electrode format with an Ag/AgCl QRCE (preparation described above) and platinum wire (Goodfellow, U.K.) auxiliary electrode on a CHI-730A potentiostat (CH instruments, U.S.A.). All other electrochemical experiments were carried out in the SECCM format on a home-built electrochemical workstation.34 ,45 (link) In this setup, a dual-barreled nanopipet probe was filled with electrolyte solution (5 or 100 mM HClO4) and mounted on a z-piezoelectric positioner (P-753.3CD, PhysikInstrumente). The tip of the nanopipet probes were elliptical in shape, with major (ra) and minor (rb) radii of approximately 250 nm and 130 nm, respectively, as shown in Fig. S2a.† Ag/AgCl wire placed in each barrel served as QRCEs (detailed above). A bias potential (Eb) of either +0.05 V (100 mM HClO4) or +0.2 V (5 mM HClO4) was applied between the QRCEs in order to generate an ion conductance current, which was used as a feedback signal during positioning of the nanopipet probe (see below). The nanopipet was positioned above the surface of interest using micropositioners for coarse movement and an xy-piezoelectric positioner (P-622.2CD, PhysikInstrumente) for fine movement. The nanopipet was oscillated normal to the surface of interest (f ≈ 280 Hz, Δz ≈ 30 nm peak-to-peak) by an ac signal generated by a lock-in amplifier (SR830, Stanford Research Systems, U.S.A.) applied to the z-piezoelectric positioner. During approach, the magnitude of the ac ion conductance current generated by distance modulation (measured using the same lock-in amplifier) was used as feedback to detect when the meniscus at the end of the nanopipet had made contact with the working electrode surface.34 ,45 (link) The nanopipet itself did not contact the substrate. Electrochemical (voltammetric) measurements were performed in the confined area defined by the meniscus (droplet cell) created between the tip and substrate. The size of the confined area (i.e., working electrode area) was determined by (SEM) imaging the droplet “footprint” left after electrochemical measurements, as demonstrated in Fig. S2b.† Electrochemical measurements at the substrate (working electrode) were made using a linear-sweep voltammetric “hopping” regime, as described previously.37 (link),39 (link),40 (link) In brief, as shown schematically in Fig. 1a , the nanopipet was approached to the surface of interest at a series of predefined locations in a grid and, upon each landing, a linear sweep voltammetric experiment was carried out, building up an voltammetric ‘map’ of the substrate. In other words, in the resulting “electrochemical map” (equipotential image), each pixel corresponds to an individual LSV. The hopping distance between each pixel was 1 μm to avoid overlap of the probed areas. Note that in the images and movies presented, there is no interpolation of the data.
The SECCM cell and all piezoelectric positioners were placed in an aluminum Faraday cage equipped with heat sinks and vacuum panels to block out all light (important in the study of semiconducting materials) and minimize noise and thermal drift. The QRCE potentials were controlled (with respect to ground) with a home-built bipotentiostat and the substrate (working electrode, common ground) current was measured using a home-built electrometer with variable data acquisition times. A home-built 16th order (low-pass) brick-wall filter unit (time constant = 2 ms) was utilized during data (current) collection. Data acquisition and fine control of all the instruments was achieved using an FPGA card (PCIe-7852R) controlled by a LabVIEW 2016 (National Instruments, U.S.A.) interface. Data treatment and analysis was carried out using the Matlab R2015b (8.6.0.267246, Mathworks, U.S.A.) and OriginPro 2016 64bit (b9.3.226, OriginLab, U.S.A.) software packages.
The dual-barrelled nanopipets were pulled from quartz filamented theta-capillaries (QTF120-90-100, Friedrich & Dimmock Inc., U.S.A.) using a CO2-laser puller (P-2000, Sutter Instruments, U.S.A.). Following pulling, the outer walls of nanopipet tips were silanized with dichlorodimethylsilane to aid meniscus confinement (and stability) when coming into contact with the substrate of interest. After the nanopipet tips were filled with the solution of interest using a MicroFil syringe (World Precision Instruments Inc., U.S.A.), a layer of silicone oil (DC 200, Sigma-Aldrich) was added on top in order to minimize evaporation (exacerbated by the filament, shown schematically in Fig. S3† ). The QRCEs were then inserted through the oil layer, into the solution of interest, and mounted on the z-piezoelectric positioner, as described above.
The SECCM cell and all piezoelectric positioners were placed in an aluminum Faraday cage equipped with heat sinks and vacuum panels to block out all light (important in the study of semiconducting materials) and minimize noise and thermal drift. The QRCE potentials were controlled (with respect to ground) with a home-built bipotentiostat and the substrate (working electrode, common ground) current was measured using a home-built electrometer with variable data acquisition times. A home-built 16th order (low-pass) brick-wall filter unit (time constant = 2 ms) was utilized during data (current) collection. Data acquisition and fine control of all the instruments was achieved using an FPGA card (PCIe-7852R) controlled by a LabVIEW 2016 (National Instruments, U.S.A.) interface. Data treatment and analysis was carried out using the Matlab R2015b (8.6.0.267246, Mathworks, U.S.A.) and OriginPro 2016 64bit (b9.3.226, OriginLab, U.S.A.) software packages.
The dual-barrelled nanopipets were pulled from quartz filamented theta-capillaries (QTF120-90-100, Friedrich & Dimmock Inc., U.S.A.) using a CO2-laser puller (P-2000, Sutter Instruments, U.S.A.). Following pulling, the outer walls of nanopipet tips were silanized with dichlorodimethylsilane to aid meniscus confinement (and stability) when coming into contact with the substrate of interest. After the nanopipet tips were filled with the solution of interest using a MicroFil syringe (World Precision Instruments Inc., U.S.A.), a layer of silicone oil (DC 200, Sigma-Aldrich) was added on top in order to minimize evaporation (exacerbated by the filament, shown schematically in Fig. S3
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Aluminum
Capillaries
Carbon Dioxide Lasers
Cardiac Arrest
Cells
Cytoskeletal Filaments
dichlorodimethylsilane
Electrolytes
Ion Transport
Light
Meniscus
Microfil
Movement
Platinum
Quartz
Radius
Silicone Oils
Syringes
Vacuum
Biopharmaceuticals
Buffers
Escherichia coli
NPM1 protein, human
Proteins
Ribosomal RNA
Silicone Oils
Sodium Chloride
All optics were bolted to a 4′ × 8′ × 8″ optical table (Newport) in order to minimize external vibrations. A rapid automated modular microscope (Applied Scientific Instrumentation, RAMM-FULL-INVAR) served as the microscope body that housed sample, objectives (Olympus, PlanApo, NA 1.45 TIRF, for single cells, or UPLSAPO 60XS, NA 1.3 silicone oil, for zebrafish embryos samples), and automated XY stage equipped with Z axis piezo (Applied Scientific Instrumentation, PZ2300) that moved the axial position of the sample relative to the objective. For exciting fluorescence, two lasers were used: a 1W, 488 nm laser and a 0.5 W, 561 nm laser (Coherent, Genesis MX488-1000 STM and Genesis MX561-500 STM). Lasers were combined via a dichroic mirror (DC, Semrock, LPD01-488RU-25) and passed through an acousto-optical tunable filter (AOTF, AA Optoelectronic, Quanta Tech, AOTFnC-400.650-TN) for shuttering control. The intensity of each laser was maximized by tuning the rotation of half wave plates (Thorlabs, WPH10M-488 and AHWP05M-600) placed in front of each laser. After the AOTF, the beams were expanded 8.9x with a beam expander (Edmund, f = 45 mm, 64–837 and Thorlabs, f = 400, AC254-400-A), and passed through a converging microlens array (Amus, f = 1.86 mm, 1 mm thick, 25 mm diameter, antireflection coated over 400–650 nm, APO-Q-P222-F1.86), compensator plate (CVI Melles-Griot, PW1-2025-UV) and 6 mm thick dichroic mirror (TDC, Iridian Spectral Technologies, 488–561 DM). The compensator plate was used to cancel astigmatism that would otherwise arise when the focused beamlets passed through the tilted dichroic mirror. The resulting multifocal illumination was reimaged with a 1:1 telescope, consisting of 2 scan lenses (Scan lens 1 and 2, Special Optics, f = 190 mm, 55-S190-60-VIS) placed in a 4f configuration. An additional demagnification of 116.7x was achieved by reimaging the resulting excitation to the sample plane with tube lens (Edmund, f = 350 mm, NT49-289-INK) and objectives (f = 3 mm), also placed in a 4f configuration, and aligned so that the rear focal plane of the tube lens coincided with the front focal plane of Scan lens 2. Rotations of a 2-sided galvanometric mirror (Galvo, Nutfield Technology, QS-12 Galvo-Based Single-Axis Scan Set, P-PWR15 (power supply), S-0152 (Connector Kit), 10-2564 (mounting block); and Sierra Precision Optics, SPO9086 Rev B X-Mirror, double-coated) placed midway between each scan lens served to translate the multifocal array at the sample plane, thus covering the imaging field.
Several of these optics were reused for emission, as fluorescence was collected along the same path, through objective, tube lens, scan lenses 1 and 2, and galvanometric mirror, before reflection from the 6 mm thick dichroic mirror. Since the galvanometric mirror introduced an equal and opposite rotation angle on the return path (‘descanning’), the multiple fluorescence foci produced at the focus of scan lens 1 were stationary. A pinhole array, with pinhole spacing equivalent to the spacing between microlenses in the converging microlens array (Photosciences, Chrome on 0.090″ thick quartz, 222 μm pinhole spacing, 40 μm pinhole diameter) placed at the front focal plane of scan lens 1 served to reject out-of-focus fluorescence emission present around each fluorescent beamlet. The resulting filtered beamlets were relayed to a secondary microlens array via a 1:1 imaging telescope (Relay lenses, Thorlabs AC508-300-A-ML) and focused through a second microlens array (Amus, f = 0.93 mm, 1 mm thick, 25 mm diameter, antireflection coated over 400–650 nm, APO-Q-P222-F0.93) that locally contracted each fluorescent focus 2x, while preserving the orientation of each foci (see further discussion below andSupplementary Fig. 3 ). The locally scaled multifocal array thus produced was reimaged to a scientific grade complementary metal-oxide semiconductor camera (PCO-TECH, pco.edge) via additional scan lenses (Scan Lenses 3 and 4, Special Optics, f = 190 mm, 55-S190-60-VIS) placed in a 4f configuration. By placing the galvanometric mirror at the midpoint between scan lenses, fluorescence was rescanned onto the camera, producing a super-resolution, sectioned image of the sample plane. A filter wheel (Sutter, FG-LB10-BIQ and FG-LB10-NW) and notch filters (Semrock, NF03-488E-25 and NF03-561E-25) placed immediately before the cameras served to reject excitation laser light. These optical elements are shown in Supplementary Fig. 1 .
Our magnification of 116.7x resulted in an imaging pixel size of 55.5 nm. Excitation power varied between 5–50 W/cm2 depending on the particular sample.
Several of these optics were reused for emission, as fluorescence was collected along the same path, through objective, tube lens, scan lenses 1 and 2, and galvanometric mirror, before reflection from the 6 mm thick dichroic mirror. Since the galvanometric mirror introduced an equal and opposite rotation angle on the return path (‘descanning’), the multiple fluorescence foci produced at the focus of scan lens 1 were stationary. A pinhole array, with pinhole spacing equivalent to the spacing between microlenses in the converging microlens array (Photosciences, Chrome on 0.090″ thick quartz, 222 μm pinhole spacing, 40 μm pinhole diameter) placed at the front focal plane of scan lens 1 served to reject out-of-focus fluorescence emission present around each fluorescent beamlet. The resulting filtered beamlets were relayed to a secondary microlens array via a 1:1 imaging telescope (Relay lenses, Thorlabs AC508-300-A-ML) and focused through a second microlens array (Amus, f = 0.93 mm, 1 mm thick, 25 mm diameter, antireflection coated over 400–650 nm, APO-Q-P222-F0.93) that locally contracted each fluorescent focus 2x, while preserving the orientation of each foci (see further discussion below and
Our magnification of 116.7x resulted in an imaging pixel size of 55.5 nm. Excitation power varied between 5–50 W/cm2 depending on the particular sample.
Astigmatism
Cells
Embryo
Epistropheus
Eye
Fluorescence
Forehead
Human Body
Lens, Crystalline
Light
Metals
Microscopy
Oxides
Quartz
Radionuclide Imaging
Reflex
Silicone Oils
Telescopes
Vibration
Zebrafish
Most recents protocols related to «Silicone Oils»
According to the method described by Sun et al. (18 (link)) with minor modifications to determine the rheological properties (Viscotester iQ, Thermo Fisher Scientific Shier, Guangzhou, China) of the samples. Tests were performed in gradient warming oscillation mode using 50 mm plates. The samples were uniformly coated on the test platform. Before the test, the sample edges were sealed with silicone oil to keep closed. Then, the temperature was increased from 20 to 80°C at a rate of 1°C/min with a frequency of 0.1 Hz and a plate spacing of 0.6 mm.
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Silicone Oils
Physiological susceptibility tests for transfluthrin were conducted for each mosquito strain before the start of semi-field experiments. The tests were performed using tube test bioassays following World Health Organization (WHO) guidelines [25 ]. As there is no recommended discriminating dose of transfluthrin for testing the susceptibility status of these mosquitoes, transfluthrin-impregnated papers at the doses proposed by Sukkanon et al. [26 (link)] were used. Five serial dilutions of emulsifiable concentrate (EC) were prepared by mixing with acetone and silicone oil in individual Falcon tubes. The concentrations of EC transfluthrin were 0.00125%, 0.0025%, 0.005%, 0.01%, 0.02%, 0.04%, 0.08% and 0.1% for Anopheles, and 0.003125%, 0.00625%, 0.125%, 0.025%, 0.05% and 0.1% for Ae. aegypti. Whatman grade 1 filter papers (12 × 15 cm; Whatman International, Banbury, UK) were prepared by impregnation with the concentrations of EC transfluthrin. For each filter paper, 2 ml of diluted EC transfluthrin was used. The impregnated papers were air-dried in the shade at ambient temperature, then wrapped in aluminium foil and refrigerated at 4 °C before use in the tests that were carried out on the same day. The papers were destroyed after the experiment.
One hundred and fifty non-blood-fed, 3–5-day-old mosquitoes were exposed to the transfluthrin-treated paper or to the control for 1 h. The mosquitoes were then provided with 10% sucrose solution and maintained at approximately 27 °C and 80% RH for the determination of 24 h mortality. Each dilution was tested four times.
The discriminating concentration (DC) for Anopheles (Table4 ) was used to test the susceptibility status of An. gambiae (Kisumu strain; KDR) and An. funestus (FUMOZ strain). The same procedure was used as in the susceptibility test, and the same numbers of mosquitoes were exposed to the transfluthrin-treated paper as per the obtained DC.
One hundred and fifty non-blood-fed, 3–5-day-old mosquitoes were exposed to the transfluthrin-treated paper or to the control for 1 h. The mosquitoes were then provided with 10% sucrose solution and maintained at approximately 27 °C and 80% RH for the determination of 24 h mortality. Each dilution was tested four times.
The discriminating concentration (DC) for Anopheles (Table
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Acetone
Aluminum
Anopheles
Biological Assay
Blood
Culicidae
Fertilization
physiology
Silicone Oils
Strains
Sucrose
Susceptibility, Disease
Technique, Dilution
transfluthrin
To evaluate the spectral performance, we prepared 5 × 5 mm2 unpolished as-cut samples of varying thicknesses (2, 5, 10, and 20 mm) sawed from a larger (5 × 5 × 50 mm3) unpolished Ce:GAGG single-crystal block (TPS, Republic of Korea) grown by the Czochralski technique. The mechanically polished reference samples were prepared using a polisher (XP 8, Ted Pella) with alumina suspension (particle size: 1 μm). The chemically polished samples were fabricated by dipping the as-cut samples into a beaker containing phosphoric acid (85% in volume), placed in a silicone oil bath, to evaluate the effect of chemical polishing on the light output of the crystal samples [11 (link), 12 (link)]. First, to investigate the correlation between the chemical polishing time and the etching rate, groups of 5 × 5 × 2 mm3 Ce:GAGG single-crystal samples were etched separately for 5, 10, 20, 30, 60, 90, and 120 min. As described before, the transmittance of the scintillation light to the photosensor is also dependent on the crystal thickness; thus, the Ce:GAGG single-crystal samples of 2, 5, 10, and 20 mm thicknesses were chemically polished for 30, 60, 90, and 120 min to compare their light outputs. The two polishing methods and spectral data acquisition process are illustrated in Fig 1 . After the chemical polishing, each sample was cleaned with deionized water and dried in air. Next, the change in the weight of each sample was recorded to assess the weight loss due to chemical polishing.
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Bath
Light
Oxide, Aluminum
Phosphoric Acids
Silicone Oils
For the simulation workshop, a silicone breast model consisting of a soft inner core and an outer skin was used. Therefore, silicone basis component and catalyzation component (SF00-RTV2 Silicone [silicone rubber], SILIKONFABRIK.DE) were mixed in a ratio of 1:1, then silicone oil (SF-V50, SILIKONFABRIK.DE) and Alginat (Protesil ®, ISO 21563) were added. Finally, a color paste (European‑3, FPHE3; Silikonfabrik.de, Ahrensburg, Deutschland) was used to give the model an authentic skin-colored tone. To ensure the soft texture of the inner core, salt and semolina were added to the mixture. The prepared inner core mixture was cast in a ceramic mold with a wire-fixed Styrodur® sphere of approximately 2 cm in diameter, which was supposed to simulate the tumor bed (Fig. 1 ). After the silicone had cured, the inner core was transferred to a breast-shaped plaster mold treated with silicone removal agent by keeping a gap of 1.5 cm between the inner core and mold, which was filled with the silicone mixture for the outer skin. After a second curing period, the whole breast could be gently removed from the mold.![]()
The breast model was evaluated by experienced radiation oncologists (MM, SD, SK) for its condition, safety, and suitability for training purposes prior to use.
Photographic images (
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Breast
Catheters
CD3EAP protein, human
Europeans
Fungus, Filamentous
Neoplasms
Paste
Radiation Oncologists
Safety
Salts
Silicone Elastomers
Silicone Oils
Silicones
Skin
Skin Pigmentation
X-Ray Computed Tomography
All chemicals and reagents were purchased from Sigma-Aldrich, Acros, Avera Synthesis, Spectrochem Pvt. Ltd., and used without further purification. Commercially available anhydrous solvents (THF, DMF, benzene, toluene, MeOH, EtOH, and CH2Cl2 Spectrochem) were used in the reactions. Thin-layer chromatography (TLC) was performed using precoated aluminum plates purchased from E. Merck (silica gel 60 PF254, 0.25 mm). Column chromatography was performed using Spectrochem silica gel (60–120 mesh). Melting points were determined in open capillary tubes on the Precision Digital melting point apparatus (LABCO make) containing silicone oil, and the results are uncorrected. IR spectra (neat) were recorded on an Agilent FTIR spectrophotometer. 1H and 13C NMR spectra were recorded either on an Avance III Bruker or a JEOL JNM-ECS spectrometer at operating frequencies of 200/400/500 MHz (1H) and or 100/125/150 MHz (13C) as indicated in the individual spectra using TMS as an internal standard. Elemental analyses were performed on a Carlo-Erba 108 or an Elementar Vario EL III microanalyzer. The room temperature varied between 25 °C and 30 °C. The multiplicities in the 1HNMR spectra are presented as s for singlet, d for doublet, dd for doublet of the doublet, td for a triplet of doublet, t for triplet and m for multiplet. The multiplicity in the 13C NMR spectra is presented as d for doublet.
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Aluminum
Anabolism
Benzene
Capillaries
Carbon-13 Magnetic Resonance Spectroscopy
Chromatography
Ethanol
Gene, THRA
Infrared Spectrophotometry
Silica Gel
Silicone Oils
Solvents
Spectroscopy, Fourier Transform Infrared
Thin Layer Chromatography
Toluene
Triplets
Top products related to «Silicone Oils»
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Silicone oil is a type of laboratory equipment used in various scientific applications. It is a clear, odorless liquid with a smooth, viscous texture. The primary function of silicone oil is to act as a heat transfer medium, lubricant, or insulating material in laboratory equipment and instruments.
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Sylgard 184 is a two-part silicone elastomer system. It is composed of a siloxane polymer and a curing agent. When mixed, the components crosslink to form a flexible, transparent, and durable silicone rubber. The core function of Sylgard 184 is to provide a versatile material for a wide range of applications, including molding, encapsulation, and coating.
Sourced in United States
Silicone oil is a specialized lubricant used in laboratory equipment. It is a clear, odorless, and non-toxic liquid that is designed to provide smooth and consistent movement in various types of lab instruments and devices.
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The MCR 302 is a rheometer from Anton Paar that measures the rheological properties of materials. It is designed for precise and reliable measurements of viscosity, viscoelasticity, and other rheological parameters.
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The FV3000 is a confocal laser scanning microscope system designed for advanced imaging applications. It features high-resolution scanning, a flexible optical configuration, and integrated software for image capture and analysis.
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The MCR 301 is a rheometer, a device used to measure the flow and deformation properties of materials. It is designed to perform rotational and oscillatory measurements on a wide range of samples, including liquids, pastes, and gels.
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Chloroform is a colorless, volatile liquid with a characteristic sweet odor. It is a commonly used solvent in a variety of laboratory applications, including extraction, purification, and sample preparation processes. Chloroform has a high density and is immiscible with water, making it a useful solvent for a range of organic compounds.
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Toluene is a colorless, flammable liquid with a distinctive aromatic odor. It is a common organic solvent used in various industrial and laboratory applications. Toluene has a chemical formula of C6H5CH3 and is derived from the distillation of petroleum.
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Ethanol is a clear, colorless liquid chemical compound commonly used in laboratory settings. It is a key component in various scientific applications, serving as a solvent, disinfectant, and fuel source. Ethanol has a molecular formula of C2H6O and a range of industrial and research uses.
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Mineral oil is a clear, odorless, and colorless liquid derived from petroleum. It is commonly used as a lubricant, solvent, and base for various personal care and pharmaceutical products.
More about "Silicone Oils"
Silicone oils are a versatile class of synthetic, inert fluids composed primarily of silicon, oxygen, and various organic moieties.
These unique compounds, also known as polydimethylsiloxane (PDMS) or dimethicone, are widely utilized across diverse industrial and medical applications due to their exceptional properties.
Some of the key attributes of silicone oils include thermal stability, low surface tension, biocompatibility, and chemical inertness.
These features make them invaluable in a range of products, from personal care items like cosmetics and personal lubricants to industrial applications such as lubricants, sealants, and mold-making materials (e.g., Sylgard 184, MCR 302, FV3000, MCR 301).
Beyond their versatility, silicone oils are also valued for their compatibility with a variety of solvents, including chloroform, toluene, and ethanol, which can aid in formulation and processing.
Additionally, the ability to blend silicone oils with other fluids, such as mineral oil, can further enhance their functionality and performance in specialized applications.
Optimizing research protocols and ensuring reproducibility when working with silicone oils can be a challenge.
However, AI-powered platforms like PubCompare.ai can greatly assist in this endeavor by providing a comprehensive, data-driven approach to identifying the most effective and reliable protocols and products from the literature, preprints, and patents.
This can lead to improved efficiency, quality, and consistency in silicone oil-based research and development.
These unique compounds, also known as polydimethylsiloxane (PDMS) or dimethicone, are widely utilized across diverse industrial and medical applications due to their exceptional properties.
Some of the key attributes of silicone oils include thermal stability, low surface tension, biocompatibility, and chemical inertness.
These features make them invaluable in a range of products, from personal care items like cosmetics and personal lubricants to industrial applications such as lubricants, sealants, and mold-making materials (e.g., Sylgard 184, MCR 302, FV3000, MCR 301).
Beyond their versatility, silicone oils are also valued for their compatibility with a variety of solvents, including chloroform, toluene, and ethanol, which can aid in formulation and processing.
Additionally, the ability to blend silicone oils with other fluids, such as mineral oil, can further enhance their functionality and performance in specialized applications.
Optimizing research protocols and ensuring reproducibility when working with silicone oils can be a challenge.
However, AI-powered platforms like PubCompare.ai can greatly assist in this endeavor by providing a comprehensive, data-driven approach to identifying the most effective and reliable protocols and products from the literature, preprints, and patents.
This can lead to improved efficiency, quality, and consistency in silicone oil-based research and development.