The inhibitor JQ1 was synthesized in both racemic and enantiomerically pure format using the synthetic route outlined in Scheme S1 and Scheme S2 and its structure was fully characterized. Human bromodomains were expressed in bacteria as His-tagged proteins and were purified by nickel-affinity and gel-filtration chromatography. Proteins integrity was assessed by SDS-PAGE and Electro-spray Mass Spectrometry on an Agilent 1100 Series LC/MSD TOF. All crystallizations were carried out at 4 °C using the sitting drop vapour-diffusion method. X-ray diffraction data were collected at the Swiss Light source beamline X10SA, or using a Rigaku FR-E generator. Structures were determined by molecular replacement. Isothermal titration calorimetry experiments were performed at 15 °C on a VP-ITC titration microcalorimeter (MicroCal™). Thermal melting experiments were carried out on a Mx3005p RT- PCR machine (Stratagene) using SYPRO Orange as a fluorescence probe. Dose-ranging small-molecule studies of proliferation were performed in white, 384-well plates (Corning) in DMEM media containing 10 % FBS. Compounds were delivered with a PerkinElmer JANUS pin-transfer robot and Envision multilabel plate-reader, using a commercial assay (Cell TiterGlo). Murine xenografts were established by injecting NMC cells in 30 % Matrigel (BD Biosciences) into the flank of 6 week-old female NCr nude mice (Charles River Laboratories). Tumor measurements were assessed by caliper measurements, and volume calculated using the formula Vol = 0.5 × L × W2 (link). All mice were humanely euthanized, and tumors were fixed in 10 % formalin for histopathological examination. Quantitative immunohistochemistry was performed using the Aperio Digital Pathology Environment (Aperio Technologies, Vista, CA) at the DF/HCC Core Laboratory at the Brigham and Women’s Hospital.
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Procedures
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Laboratory Procedure
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Calorimetry
Calorimetry
Calorimetry is a powerful analytical technique used to measure the heat energy released or absorbed during chemical and physical processes.
This versatile method provides invaluable insights into a wide range of scientific disciplines, from chemistry and biology to materials science and energy research.
By precisely quantifying thermal changes, calorimetry enables researchers to study reaction kinetics, phase transitions, and thermodynamic properties with unparalleled accuracy.
Whther you're investigating protein folding, battery performance, or catalytic reactions, calorimetry remains an indispensable tool for unlocking the secrets of the natural world.
With its ability to deliver reproducible, high-quality data, calorimetry continues to drive scientific discovery and innovation across multple fields.
Harness the full potential of this essential technique with the help of cutting-edge AI tools like PubCompare.ai, which can optimze your calorimetry research and elevate your scientific findings.
This versatile method provides invaluable insights into a wide range of scientific disciplines, from chemistry and biology to materials science and energy research.
By precisely quantifying thermal changes, calorimetry enables researchers to study reaction kinetics, phase transitions, and thermodynamic properties with unparalleled accuracy.
Whther you're investigating protein folding, battery performance, or catalytic reactions, calorimetry remains an indispensable tool for unlocking the secrets of the natural world.
With its ability to deliver reproducible, high-quality data, calorimetry continues to drive scientific discovery and innovation across multple fields.
Harness the full potential of this essential technique with the help of cutting-edge AI tools like PubCompare.ai, which can optimze your calorimetry research and elevate your scientific findings.
Most cited protocols related to «Calorimetry»
Bacteria
Biological Assay
Calorimetry
Cells
Crystallization
Diffusion
Females
Fluorescent Probes
Formalin
Gel Chromatography
Heterografts
Homo sapiens
Immunohistochemistry
Mass Spectrometry
matrigel
Mice, Nude
Mus
Neoplasms
Nickel
Proteins
Reverse Transcriptase Polymerase Chain Reaction
Rivers
SDS-PAGE
Titrimetry
TNFSF14 protein, human
Woman
X-Ray Diffraction
Animals
Calorimetry
Calorimetry, Indirect
Carbon dioxide
Energy Metabolism
Isotopes
Measure, Body
Mus
Thermogenesis
The thermodynamics of the precursor 5-azido-pyrazole (14 ) binding with pure human COX-2 protein studied with a high sensitivity ITC instrument (VP-ITC, MicroCal). All titrations were performed by following VP-ITC general procedure described in manual. Protein (20 µM) and ligand (200 µM) solution were prepared in PBS buffer, pH 7.4. Prior to each ITC run, all solutions were filtered using membrane filters (pore size 0.45 μm) and thoroughly stirred and degassed using Thermovac accessory for 20 min to remove any air bubbles at 25 °C. In a typical experiment, aliquots (6 µl) of ligand solution (prepared at 10 times the COX-2 protein concentration) were injected with a computer-controlled stirrer-syringe into a reaction cell containing COX-2 protein. Titrations were carried out with a stirring speed of 400 rpm and 240 s intervals between injections. All experiments were conducted at 25 °C. Control experiments, including titration of the ligand into buffer alone or COX-2 protein into buffer alone, were carried to determine the heat due to dilution and subtracting during the original experiment. Calorimetric data analysis was performed with ORIGIN software provided by MicroCal. All results, including the binding constant (Ka), stoichiometry of binding (N), and thermodynamics of binding (ΔH and TΔS) were determined by fitting the experimental binding isotherms. Each ITC experiment was repeated three times and showed good reproducibility.
Binding Proteins
Buffers
Calorimetry
Cells
Homo sapiens
Hypersensitivity
Ligands
Proteins
PTGS2 protein, human
pyrazole
Syringes
Technique, Dilution
Tissue, Membrane
Titrimetry
GluN1b and GluN2B ATD proteins were expressed as secreted proteins using the insect cells/baculovirus system and purified using metal-chelate chromatography and size-exclusion chromatography. Crystallization was performed in hanging-drop vapor diffusion configuration in a buffer containing 20% PEG3350, 150 mM KNO3 and 50 mM HEPES-NaOH (pH 7.0) and 3.0–3.5 M NaFormate and 0.1M HEPES-NaOH (pH 7.5) for GluN1b ATD and GluN1b/GluN2B ATDs, respectively. Diffraction data sets obtained at 100K were indexed, integrated, and scaled using HKL2000. The GluN1b ATD structure was solved by the single anomalous diffraction (SAD) phasing method using Se-Met incorporated crystals and the GluN1b/GluN2B ATD structures were solved by molecular replacement using coordinates of GluN1b ATD and GluN2B ATD (PDB code: 3JPW)10 (link). Model refinement was conducted using the program Phenix20 (link). Experiments involving analytical ultracentrifugation and isothermal titration calorimetry were conducted using the purified protein samples in the glycosylated form. Ion channel activities of full-length NMDA receptors were measured by whole-cell recording using cRNA injected Xenopus laevis oocytes using a two electrode voltage-clamp configuration.
Baculoviridae
Buffers
Calorimetry
Cells
Chromatography
Complementary RNA
Crystallization
Diffusion
Gel Chromatography
Glycosylated Proteins
GRIN2B protein, human
HEPES
Insecta
Ion Channel
Metals
N-Methyl-D-Aspartate Receptors
Oocytes
polyethylene glycol 3350
Proteins
Titrimetry
Ultracentrifugation
Xenopus laevis
Dispersions were prepared based on a protocol recently developed by the authors16 (link). Sonication was performed in deionized water (DI H2O) using the critical dispersion sonication energy (DSEcr), which was determined as previously described for each ENM16 (link). ENMs were dispersed at 5 mg cm−3 in 3 ml of solute in 15 ml conical polyethylene tubes using a Branson Sonifier S-450A (Branson Ultrasonics, Danbury, CT, USA), calibrated by the calorimetric calibration method previously described16 (link),26 (link), whereby the power delivered to the sample was determined to be 1.75 W, fitted with a 3 inch cup horn (maximum power output of 400 W at 60 Hz, continuous mode, output level 3) in which tubes were immersed so that sample and cup water menisci were aligned. Stock DI H2O suspensions were then diluted to final concentrations in either RPMI or F12K cell culture media, each either alone or supplemented with 10% heat inactivated fetal bovine serum (FBS), and vortexed for 30 seconds. Dispersions were analyzed for hydrodynamic diameter (dH), polydispersity index (PdI), zeta potential (ζ), and specific conductance (σ) by DLS using a Zetasizer Nano-ZS (Malvern Instruments, Worcestershire, UK). pH was measured using a VWR sympHony pH meter (VWR International, Radnor, PA, USA).
Calorimetry
Cell Culture Techniques
Cells
Culture Media
Fetal Bovine Serum
Horns
Hydrodynamics
Meniscus
Neoplasm Metastasis
Polyethylenes
Ultrasonics
Most recents protocols related to «Calorimetry»
To determine the surface wettability,
the contact angle (CA) and the sliding angle (SA) were measured with
an optical tensiometer (Attension, Theta Lite). CA and SA were measured
at three different locations using water droplets of 5 and 10 μL,
respectively. The reported results are arithmetic averages obtained
from these three measurements. The surface morphology of samples was
imaged via a scanning electron microscope (SEM) (Zeiss EVO LS10) at
25 kV. Surface topography was examined with a profilometer (Bruker-DektakXT).
Before measurements, the sample surface was coated with a thin layer
of gold via sputtering. The chemical composition was characterized
via FTIR using the ATR mode (LUMOS II, Bruker) and X-ray photoelectron
spectroscopy (XPS). For the XPS measurements, a Thermo Scientific
K-Alpha spectrometer with a monochromatic Al Kα source (1486.7
eV) was used. The XPS data were calibrated against adventitious C
1s. The thermal property of the materials was investigated via differential
scanning calorimetry (DSC, METTLER1). Specifically, 4–7 mg
of the sample was placed in an aluminum pan and heated to 200 °C,
equilibrated for 5 min, and then cooled to room temperature. The heating
and cooling rate was 10 °C/min.
the contact angle (CA) and the sliding angle (SA) were measured with
an optical tensiometer (Attension, Theta Lite). CA and SA were measured
at three different locations using water droplets of 5 and 10 μL,
respectively. The reported results are arithmetic averages obtained
from these three measurements. The surface morphology of samples was
imaged via a scanning electron microscope (SEM) (Zeiss EVO LS10) at
25 kV. Surface topography was examined with a profilometer (Bruker-DektakXT).
Before measurements, the sample surface was coated with a thin layer
of gold via sputtering. The chemical composition was characterized
via FTIR using the ATR mode (LUMOS II, Bruker) and X-ray photoelectron
spectroscopy (XPS). For the XPS measurements, a Thermo Scientific
K-Alpha spectrometer with a monochromatic Al Kα source (1486.7
eV) was used. The XPS data were calibrated against adventitious C
1s. The thermal property of the materials was investigated via differential
scanning calorimetry (DSC, METTLER1). Specifically, 4–7 mg
of the sample was placed in an aluminum pan and heated to 200 °C,
equilibrated for 5 min, and then cooled to room temperature. The heating
and cooling rate was 10 °C/min.
Aluminum
Calorimetry
chemical composition
Gold
Radiography
Scanning Electron Microscopy
Spectroscopy, Fourier Transform Infrared
Vision
The master alloy
used for rapid solidification is prepared from
raw materials of iron, silicon, and copper chunks (>99.9%). Alloy
raw materials with different Cu contents (0–2.5 wt %) were
repeatedly smelted (6–8 times) in a high-vacuum arc melting
furnace to prepare alloy ingots. After that, the master alloy was
remelted in a quartz crucible of a high-vacuum single-roll belt spinning
furnace using a high-efficiency electromagnetic heating device. Before
preparing the steel strip by rapid solidification, the vacuum degree
of the melting chamber of the strip furnace was controlled below 6.0
× 10–4 Pa, and then Ar (99.99%) was injected
to make the vacuum degree of the melting chamber −0.07 to −0.04
MPa. The molten Fe–Si master alloys with different Cu dosages
were injected onto a rotating copper roll using high-purity Ar and
spun into a strip (Figure 1 ). The wheel speed of the copper wheel was precisely controlled
and monitored by motor control system. A thermal camera was set up
to record the ribbon surface temperature through a sapphire window
during the melt spinning process. Multiple frames were used to acquire
the average cooling rate for wheel speed. The spouted molten master
alloy forms a high-silicon steel strip with a cooling rate of 8 ×
105 K/s (30 m/s).
The thermal evolution of the Fe–Si–Cu
steel strip
samples was conducted using thermogravimetric analysis and differential
scanning calorimetry (TG-DSC, Mettler TGA/DSC3+) equipment from room
temperature to 1000 °C with a heating rate of 5 °C/min.
The grain morphology and the texture of Fe–Si–Cu steel
strip sample were characterized by electron back-scattered diffraction
(EBSD, Oxford SYMMETRY), and data analysis was postprocessed with
HKL-Channel 5 software to characterize. Considering typical orientations
that are developed in silicon steel (Figure 2 ), φ2 = 0° and φ2 = 45° orientation distribution function (ODF) sections
were used in this study. The hysteresis loops of the steel strip samples
were confirmed by vibrating sample magnetometer (VSM, MPMS-VSM, and
MPMS-XL) devices at 25 °C. Vickers hardness and engineering stress–strain
curves of the samples were obtained with HVS-30 and Instron-3344 devices.
Modeling by density functional theory (DFT) and
simulation calculations
for phase stability and magnetic properties. The compositions are
assumed to be Fe-12 atom % Si (equivalent to 6.4 wt % Si) and Fe-12
atom % Si-1 atom % Cu (equivalent to 6.4 wt % Si, 1.3 wt % Cu). The
exchange-correlation energy was calculated using the generalized gradient
approximation and the projector augmented wave method in the Vienna
Ab-Initio Simulation Package, and the plane wave energy cutoff was
350 eV. A 2 × 2 × 2 supercell of 16 atoms was used for the
modeling with the lattice parameters of a = b = c = 5.7328 Å of the bcc lattice.
Fe–Si alloys (VCA = 0.88, 0.12) and Fe–Si–Cu
alloys (VCA = 0.87, 0.12, 0.01) were simulated by virtual crystal
approximation. A Γ-centered grid of 4 × 4 × 4 k-points was used for Brillouin zone sampling, and a tetrahedron
method with Bloch corrections was used for the k-point
integration.
used for rapid solidification is prepared from
raw materials of iron, silicon, and copper chunks (>99.9%). Alloy
raw materials with different Cu contents (0–2.5 wt %) were
repeatedly smelted (6–8 times) in a high-vacuum arc melting
furnace to prepare alloy ingots. After that, the master alloy was
remelted in a quartz crucible of a high-vacuum single-roll belt spinning
furnace using a high-efficiency electromagnetic heating device. Before
preparing the steel strip by rapid solidification, the vacuum degree
of the melting chamber of the strip furnace was controlled below 6.0
× 10–4 Pa, and then Ar (99.99%) was injected
to make the vacuum degree of the melting chamber −0.07 to −0.04
MPa. The molten Fe–Si master alloys with different Cu dosages
were injected onto a rotating copper roll using high-purity Ar and
spun into a strip (
and monitored by motor control system. A thermal camera was set up
to record the ribbon surface temperature through a sapphire window
during the melt spinning process. Multiple frames were used to acquire
the average cooling rate for wheel speed. The spouted molten master
alloy forms a high-silicon steel strip with a cooling rate of 8 ×
105 K/s (30 m/s).
The thermal evolution of the Fe–Si–Cu
steel strip
samples was conducted using thermogravimetric analysis and differential
scanning calorimetry (TG-DSC, Mettler TGA/DSC3+) equipment from room
temperature to 1000 °C with a heating rate of 5 °C/min.
The grain morphology and the texture of Fe–Si–Cu steel
strip sample were characterized by electron back-scattered diffraction
(EBSD, Oxford SYMMETRY), and data analysis was postprocessed with
HKL-Channel 5 software to characterize. Considering typical orientations
that are developed in silicon steel (
were used in this study. The hysteresis loops of the steel strip samples
were confirmed by vibrating sample magnetometer (VSM, MPMS-VSM, and
MPMS-XL) devices at 25 °C. Vickers hardness and engineering stress–strain
curves of the samples were obtained with HVS-30 and Instron-3344 devices.
Modeling by density functional theory (DFT) and
simulation calculations
for phase stability and magnetic properties. The compositions are
assumed to be Fe-12 atom % Si (equivalent to 6.4 wt % Si) and Fe-12
atom % Si-1 atom % Cu (equivalent to 6.4 wt % Si, 1.3 wt % Cu). The
exchange-correlation energy was calculated using the generalized gradient
approximation and the projector augmented wave method in the Vienna
Ab-Initio Simulation Package, and the plane wave energy cutoff was
350 eV. A 2 × 2 × 2 supercell of 16 atoms was used for the
modeling with the lattice parameters of a = b = c = 5.7328 Å of the bcc lattice.
Fe–Si alloys (VCA = 0.88, 0.12) and Fe–Si–Cu
alloys (VCA = 0.87, 0.12, 0.01) were simulated by virtual crystal
approximation. A Γ-centered grid of 4 × 4 × 4 k-points was used for Brillouin zone sampling, and a tetrahedron
method with Bloch corrections was used for the k-point
integration.
1-methyl-1-piperidinomethane sulfonate
Alloys
Biological Evolution
Calorimetry
Cereals
Copper
Electromagnetics
Electrons
Iron
K 105
Medical Devices
Quartz
Reading Frames
Sapphire
Silicon
Steel
Vacuum
To estimate the nitrogen release from the coated urea, firstly the total available nitrogen content of the coated urea was evaluated using Kjeldahl. The detail of this method can be found elsewhere.27 (link) Diacetyl monoxime (DAM) calorimetry method was used to estimate the amount of nitrogen leached out from the coated urea. This method involves the usage of color reagent, which was prepared by mixing the 25 ml of DAM solution (prepared by dissolving 2.5 g of diacetyl monoxime in 100 ml of distilled water), 15 ml of TSC solution (prepared by dissolving 0.25 g of thiosemicarbazide in 100 ml of distilled water) and 460 ml of acid reagent (prepared by mixing 10 ml of sulfuric acid, 240 ml of distilled water and 250 ml of phosphoric acid).20,21,28 (link) 2 g of coated urea was placed in a conical flask containing 200 ml of distilled water. To estimate the amount of the nitrogen released in distilled water from coated urea, after every 24 h 2.5 ml of the aliquot was taken and mixed with 7.5 ml of the color reagent and heated to a temperature of 85 °C for 30 min in a water bath followed by cooling at room temperature. The obtained red color solutions were then analysed using Shimadzu UV-1800 UV-Vis spectrophotometer at 526 nm wavelength.13,20,21 (link)
Acids
Bath
Calorimetry
diacetylmonoxime
Nitrogen
Phosphoric Acids
sulfuric acid
thiosemicarbazide
Urea
White matter samples were collected from the dorsolateral frontal region of fresh-frozen brain tissue. The dorsolateral frontal cortex was examined because of its known involvement in CTE.80 (link) The frozen tissue was weighed and placed on dry ice. Freshly prepared 5 M Guanidine Hydrochloride in Tris-buffered saline (20 mM Tris-HCl, 150 mM NaCl, pH 7.4) containing 1:100 Halt protease inhibitor cocktail (Thermo Fischer Scientific, Waltham, MA) was added to the brain tissue at 5:1 [5 M Guanidine Hydrochloride volume (ml):brain wet weight (g)]; and tissue was homogenized with Qiagen Tissue Lyser LT at 50 Hz for 5 min. The homogenate was diluted 1:100 with phosphate buffered saline (pH = 7.4) and subsequently centrifuged at 17 000 g and 4°C for 15 min. Enzyme-linked immunosorbent assay (ELISA) kits from AVIVA (San Diego, CA) for MAG (OKEH00439) and PLP1 (OKEH00437) were used to measure levels of these proteins in the dorsolateral frontal white matter according to the manufacturer’s protocol. The plates were read on a standard calorimetric plate reader at 450 nm absorbance with background subtraction. Plates for each protein were run in three separate batches with samples repeated as internal controls.
Brain
Calorimetry
Cerebral Edema
Dry Ice
Enzyme-Linked Immunosorbent Assay
Freezing
Hydrochloride, Guanidine
Lobe, Frontal
Phosphates
Protease Inhibitors
Proteins
Saline Solution
Sodium Chloride
Tissues
Tromethamine
White Matter
Protocol full text hidden due to copyright restrictions
Open the protocol to access the free full text link
Biological Assay
Calorimetry
Cells
SMAD3 protein, human
Titrimetry
Top products related to «Calorimetry»
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The ITC200 is a sensitive and precise instrument used for measuring the heat effects associated with molecular interactions. It provides accurate data on the thermodynamic parameters of binding events between molecules, such as proteins, ligands, and other biomolecules. The ITC200 allows researchers to gain valuable insights into the nature and strength of these interactions, which is crucial for various applications in the fields of drug discovery, biochemistry, and biophysics.
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Origin 7.0 is a data analysis and graphing software that provides tools for data visualization, data analysis, and scientific plotting. The software supports a wide range of data formats and offers a variety of plotting and analysis features.
Sourced in United Kingdom, United States
The MicroCal iTC200 is a high-sensitivity isothermal titration calorimeter (ITC) designed for the measurement of thermodynamic parameters of biomolecular interactions. It is capable of accurately measuring heat changes associated with ligand-target binding events, enabling researchers to determine binding affinity, stoichiometry, and thermodynamic parameters such as enthalpy, entropy, and Gibbs free energy.
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Origin 7.0 is a laboratory instrument designed for particle size and particle shape analysis. It uses laser diffraction technology to measure the size distribution of particles in a sample.
Sourced in United Kingdom, United States, Germany
The MicroCal PEAQ-ITC is a high-performance isothermal titration calorimetry (ITC) instrument designed for the study of biomolecular interactions. It measures the heat released or absorbed during the binding of two or more molecules, providing detailed thermodynamic information about the interaction.
Sourced in United States
NanoAnalyze software provides a comprehensive data analysis platform for thermal analysis techniques, such as differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA). The software enables users to import, visualize, and analyze data from these experiments, facilitating the interpretation of thermal behavior and phase changes in materials.
Sourced in United States, United Kingdom
The VP-ITC is a microcalorimeter instrument designed for isothermal titration calorimetry (ITC) analysis. It measures the heat changes that occur during interactions between molecules, providing insights into the thermodynamic properties of these interactions.
Sourced in United States
The Nano ITC is a highly sensitive calorimeter designed for the precise measurement of thermodynamic parameters in biomolecular interactions. It measures the heat released or absorbed during a binding event with high resolution, enabling researchers to analyze the energetics of complex formation, conformational changes, and other biomolecular processes.
Sourced in United States, United Kingdom
The VP-ITC microcalorimeter is a high-sensitivity instrument designed for the measurement of thermodynamic parameters in a wide range of applications. It employs the isothermal titration calorimetry (ITC) technique to precisely measure heat changes associated with various molecular interactions or processes.
More about "Calorimetry"
Calorimetry is a powerful analytical tool used to measure the thermal energy released or absorbed during chemical and physical processes.
This versatile technique provides invaluable insights into a wide range of scientific disciplines, from chemistry and biology to materials science and energy research.
By precisely quantifying thermal changes, calorimetry enables researchers to study reaction kinetics, phase transitions, and thermodynamic properties with unparalleled accuracy.
Whether you're investigating protein folding, battery performance, or catalytic reactions, calorimetry remains an indispensable method for unlocking the secrets of the natural world.
With its ability to deliver reproducible, high-quality data, calorimetry continues to drive scientific discovery and innovation across multiple fields.
Calorimetry techniques, such as Isothermal Titration Calorimetry (ITC), Differential Scanning Calorimetry (DSC), and Microcalorimetry, are widely used in various applications.
ITC200, Origin 7.0, MicroCal iTC200, MicroCal PEAQ-ITC, NanoAnalyze software, VP-ITC, and Nano ITC are some of the popular calorimetry instruments and software used by researchers.
Harness the full potential of this essential technique with the help of cutting-edge AI tools like PubCompare.ai, which can optimize your calorimetry research and elevatte your scientific findings.
Discover the most reliable and effective methods for your calorimetry experiments, all with the help of our powerful AI technology.
This versatile technique provides invaluable insights into a wide range of scientific disciplines, from chemistry and biology to materials science and energy research.
By precisely quantifying thermal changes, calorimetry enables researchers to study reaction kinetics, phase transitions, and thermodynamic properties with unparalleled accuracy.
Whether you're investigating protein folding, battery performance, or catalytic reactions, calorimetry remains an indispensable method for unlocking the secrets of the natural world.
With its ability to deliver reproducible, high-quality data, calorimetry continues to drive scientific discovery and innovation across multiple fields.
Calorimetry techniques, such as Isothermal Titration Calorimetry (ITC), Differential Scanning Calorimetry (DSC), and Microcalorimetry, are widely used in various applications.
ITC200, Origin 7.0, MicroCal iTC200, MicroCal PEAQ-ITC, NanoAnalyze software, VP-ITC, and Nano ITC are some of the popular calorimetry instruments and software used by researchers.
Harness the full potential of this essential technique with the help of cutting-edge AI tools like PubCompare.ai, which can optimize your calorimetry research and elevatte your scientific findings.
Discover the most reliable and effective methods for your calorimetry experiments, all with the help of our powerful AI technology.