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Toluene

Toluene is an aromatic hydrocarbon compound with the chemical formula C6H5CH3.
It is a colorless, flammable liquid with a distinct benzene-like odor.
Toluene is widely used as an industrial solvent, chemical feedstock, and fuel component.
It is also a common component in paints, adhesives, and cleaning products.
Toluene exposure can have adverse health effects, including neurological and respiratory issues.
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Publication 2009
acryloyl chloride Anabolism Ethyl Ether Hydroxyl Radical Molar poly(ethylene glycol)diacrylate Toluene triethylamine
All reagents were commercially available materials and were used without further purification. (R,S)-Ibuprofen (99%) was obtained from Acros Organics (Geel, Belgium). l-Valine (≥99%) was provided by Carl Roth (Karlsruhe, Germany). Trimethylsilyl chloride (≥99%) (TMSCl) was purchased from Sigma-Aldrich (Steinheim am Albuch, Germany). Methanol (MeOH), ethanol (EtOH), propan-2-ol (iPrOH), propan-1-ol (PrOH), butan-1-ol (BuOH), pentan-1-ol (AmOH), hexan-1-ol (HexOH), acetic acid, potassium chloride, sodium chloride, sodium sulfate anhydrous, orthophosphoric acid (98%), dimethyl sulfoxide, chloroform, ethyl acetate, diethyl ether, toluene and n-hexane were high purity provided by Chempur (Gliwice, Poland). Ammonium hydroxide solution 25% (NH3·H2O) was of analytical grade purchased from StanLab (Lublin, Poland). Acetonitrile (≥99.9%) for HPLC gradient grade and n-octanol (≥99%) were obtained from Sigma-Aldrich (Steinheim am Albuch, Germany). Disodium hydrogen phosphate dihydrate (≥99%) (Na2HPO4·2H2O) was obtained from Fisher Bioreagents (Pittsburgh, Pennsylvania, USA) and sodium dihydrogen phosphate anhydrous (98%) (NaH2PO4) was obtained from Acros Organics (Geel, Belgium). Deuterated chloroform (CDCl3) (99.8%) (+0.03% TMSCl) was obtained from Eurisotop (Cheshire, England). Potassium dihydrogen phosphate anhydrous (99%) was provided from Merck (Darmstadt, Germany).
Porcine skin was used in the permeation experiments due to its similar permeability to human skin.30 (link) The fresh abdominal porcine skin was washed in PBS buffer pH 7.4 several times. After drying, dermatome section skin 0.5 mm thick was prepared (Humby Dermatome, Surtex Instruments, New Malden, England). Then samples of skin were stored frozen at −20 °C not longer than 3 months. This time was safe to keep the barrier properties of skin.31 (link) Prior to the permeation experiments, the skin samples were thawed at room temperature for 30 min. Then the skin was allowed to hydration by phosphate buffer pH 7.4.32–34 (link) Skin integrity was evaluated based on skin electrical impedance measurements (see below). Only undamaged skin pieces were used in the permeation experiments.
Publication 2020
1-Octanol Abdomen Acetic Acid acetonitrile Ammonium Hydroxide Buffers Chloroform Ethanol ethyl acetate Ethyl Ether Freezing High-Performance Liquid Chromatographies Homo sapiens Ibuprofen Impedance, Electric Methanol n-hexane Permeability Phosphates phosphoric acid Pigs Potassium Chloride potassium phosphate, monobasic Skin Sodium Chloride sodium phosphate, dibasic sodium phosphate, monobasic sodium sulfate Sulfoxide, Dimethyl Toluene trimethylsilyl chloride Valine
Oligonucleotides were synthesized using modified (2ʹ-F, 2ʹ-OMe) phosphoramidite with standard protecting groups. Solid-phase synthesis conditions using a MerMade 12 (BioAutomation, Irving, Texas) or AKTA Oligopilot 100 (GE Healthcare Life Sciences, Pittsburgh, PA) using modified protocols. Unconjugated antisense oligonucleotide strands were grown on controlled pore glass functionalized with a long-chain alkyl amine and Unylinker® terminus (Chemgenes, #N-4000–10) Sense strands, as divalent oligonucleotides were synthesized on modified solid support (5), made in house to produce di-valent sense strands. Phosphoramidites (ChemGenes, Wilmington, MA) were prepared at 0.15M (MerMade 12) and 0.2M (AKTA) in ACN with added 15% DMF in the 2`-OMe U amidite. 5-(Benzylthio)-1H-tetrazole was used as the activator at 0.25M. Detritylations were performed using 3% trichloroacetic acid (TCA) in dichloromethane on the MerMade 12 and 3 %DCA in toluene on the AKTA Oligopilot (AIC Wilmington, MA). Capping was done with non-THF containing reagents CAP A: 20% NMI in CAN and CAP B: 20% Ac2 O, 30% 2,6-lutidine in CAN (AIC Wilmington, MA). Sulfurization was performed with 0.1 M solution of DDTT in Pyridine (ChemGenes, Wilmington, MA) for 3 minutes. Phosphoramidite coupling times were 8min for all amidites used.
Publication 2019
1H-tetrazole Amines Antisense Oligonucleotides Methylene Chloride Oligonucleotides phosphoramidite pyridine Toluene Trichloroacetic Acid
The molecular energies of the various data sets are predicted using a deep tensor neural network. The core idea is to represent atoms in the molecule as vectors depending on their type and to subsequently refine the representation by embedding the atoms in their neighbourhood. This is done in a sequence of interaction passes, where the atom representations influence each other in a pair-wise fashion. While each of these refinements depends only on the pair-wise atomic distances, multiple passes enable the architecture to also take angular information into account. Because of this decomposition of atomic interactions, an efficient representation of embedded atoms is learned following quantum-chemical principles.
In the following, we describe the deep tensor neural network step-by-step, including hyper-parameters used in our experiments.
1. Assign initial atomic descriptors
We assign an initial coefficient vector to each atom i of the molecule according to its nuclear charge Zi:

where B is the number of basis functions. All presented models use atomic descriptors with 30 coefficients. We initialize each coefficient randomly following .
2. Gaussian feature expansion of the inter-atomic distances
The inter-atomic distances Dij are spread across many dimensions by a uniform grid of Gaussians

with Δμ being the gap between two Gaussians of width σ.
In our experiments, we set both to 0.2 Å. The centre of the first Gaussian μmin was set to −1, while μmax was chosen depending on the range of distances in the data (10 Å for GDB-7 and benzene, 15 Å for toluene, malonaldehyde and salicylic acid and 20 Å for GDB-9).
3. Perform T interaction passes
Each coefficient vector , corresponding to atom i after t passes, is corrected by the interactions with the other atoms of the molecule:

Here, we model the interaction v as follows:

where the circle () represents the element-wise matrix product. The factor representation in the presented models employs 60 neurons.
4. Predict energy contributions
Finally, we predict the energy contributions Ei from each atom i. Employing two fully-connected layers, for each atom a scaled energy contribution is predicted:


In our experiments, the hidden layer oi possesses 15 neurons. To obtain the final contributions, is shifted to the mean Eμ and scaled by the s.d. Eσ of the energy per atom estimated on the training set.

This procedure ensures a good starting point for the training.
5. Obtain the molecular energy E=∑iEiThe bias parameters as well as are initially set to zero. All other weight matrices are initialized drawing from a uniform distribution according to (ref. 51 ). Neural network code is available.
The deep tensor neural networks have been trained for 3,000 epochs minimizing the squared error, using stochastic gradient descent with 0.9 momentum and a constant learning rate52 . The final results are taken from the models with the best validation error in early stopping.
All DTNN models were trained and executed on an NVIDIA Tesla K40 GPU. The computational cost of the employed models depends on the number of reference calculations, the number of interaction passes as well as the number of atoms per molecule. The training times for all models and data sets are shown in Supplementary Table 2, ranging from 6 h for 5.768 reference calculations of GDB-7 with one interaction pass, to 162 h for 100,000 reference calculations of the GDB-9 data set with three interaction passes.
On the other hand, the prediction is instantaneous: all models predict examples from the employed data sets in <1 ms. Supplementary Fig. 7 shows the scaling of the prediction time with the number of atoms and interaction layers. Even for a molecule with 100 atoms, a DTNN with three interaction layers requires <5 ms for a prediction.
The prediction as well as the training steps scale linearly with the number of interaction passes and quadratically with the number of atoms, since the pairwise atomic distances are required for the interactions. For large molecules it is reasonable to introduce a distance cutoff. In that case, the DTNN will also scale linearly with the number of atoms.
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Publication 2017
Benzene Cloning Vectors EPOCH protocol Malondialdehyde Neurons Nuclear Energy Salicylic Acid Toluene
FAs were analyzed in total lipid fractions for all pools except plasma, which was further separated into phosphatidylcholine, CEs, NEFAs and triglycerides. Total lipid was extracted into chloroform:methanol (2:1, vol:vol) from plasma, MNCs, RBCs, platelets, BUs, and homogenized AT; butylated hydroxytoluene (50 mg/L) was added as an antioxidant. Plasma lipid fractions were separated and isolated by solid-phase extraction on aminopropylsilica cartridges. CEs and triglycerides were eluted with chloroform. Phosphatidylcholine, which is the major plasma phospholipid, was eluted with chloroform:methanol (60:40, vol:vol). NEFAs were eluted by using chloroform:methanol:glacial acetic acid (100:2:2, vol:vol:vol). A second cartridge was used to separate CEs and triglycerides: CEs were eluted with hexane, and triglycerides were eluted with hexane:chloroform:ethyl acetate (100:5:5, vol:vol:vol). All lipids were dried under nitrogen and redissolved in toluene. Fatty acid methyl esters (FAMEs) were formed by incubation with methanol that contained 2% (vol:vol) H2SO4 at 50°C for 2 h. After allowing the tubes to cool, samples were neutralized with a solution of 0.25 mol KHCO3/L and 0.5 mol K2CO3/L. FAMEs were extracted into hexane, dried down, redissolved in a small volume of hexane, and separated by using gas chromatography. Gas chromatography was performed on a Hewlett-Packard 6890 gas chromatograph fitted with a BPX-70 column (30 m × 0.22 mm × 0.25 μm). The inlet temperature was 300°C. The oven temperature was initially 115°C and was maintained for 2 min after injection. The oven temperature was programmed to increase to 200°C at the rate of 10°C/min to hold at 200°C for 16 min and increase to 240°C at the rate of 60°C/min to hold at 240°C for 2 min. The total run time was just longer than 29 min. Helium was used as the carrier gas. FAMEs were detected by using a flame ionization detector held at a temperature of 300°C. The instrument was controlled by, and data collected, with HPChemStation software (Hewlett-Packard). FAMEs were identified by comparison of retention times with those of authentic standards run previously. Within-run CVs for analysis of EPA and DHA as methyl esters were 3% and 2%, respectively. Between-run CVs for analysis of EPA and DHA as methyl esters were 5% and 2.5%, respectively.
Publication 2012
Acetic Acid Antioxidants ARID1A protein, human Blood Platelets Chloroform Erythrocytes Esters ethyl acetate Fatty Acids Flame Ionization Gas Chromatography Helium Hydroxytoluene, Butylated Lipids Methanol n-hexane Nitrogen Nonesterified Fatty Acids Phosphatidylcholines Phospholipids Plasma potassium bicarbonate potassium carbonate Retention (Psychology) Solid Phase Extraction Toluene Triglycerides

Most recents protocols related to «Toluene»

Example 22

To a four-necked flask (1 L volume) equipped with stirring blades, a thermometer, a dropping funnel and a condenser tube, 500 mL of toluene, 30.6 g (0.11 mol) of 4,4′-(propane-2,2-diyl)bis(isocyanate-benzene), and 63.1 mg of p-methoxyphenol were added and dissolved. Next, 14.3 g (0.11 mol) of 2-hydroxyethyl methacrylate was weighed in a beaker, 150 mL of toluene was added, and the mixture was stirred thoroughly and transferred to a dropping funnel. The four-necked flask was immersed in an oil bath heated to 80° C., and 2-hydroxyethyl methacrylate was added dropwise with stirring. After completion of the dropwise addition, the reaction was continued while maintaining the temperature of an oil bath for 24 hours, leading to aging. After completion of the aging, the four-necked flask was removed from the oil bath and the reaction product was returned to room temperature, and then HPLC and FT-IR measurements were performed. Analysis conditions of the HPLC measurement are as follows: a column of ZORBAX-ODS, acetonitrile/distilled water of 7/3, a flow rate of 0.5 mL/min, a multi-scanning UV detector, an RI detector and an MS detector. The FT-IR measurement was performed by an ATR method. As a result of the HPLC measurement, the raw materials 4,4′-(propane-2,2-diyl)bis(isocyanate-benzene) and 2-hydroxyethyl methacrylate disappeared and a new peak of 2-(((4-(2-(4-isocyanate-phenyl)propane-2-yl)phenyl)carbamoyl)oxy)ethyl methacrylate (molecular weight 408.45) was confirmed. As a result of FT-IR measurement, a decrease in isocyanate absorption intensity at 2280-2250 cm−1 and a disappearance of hydroxy group absorption near 3300 cm−1 were confirmed, and a new absorption attributed to urethane group at 1250 cm−1 was confirmed. Next, to a toluene solution containing 40.8 g (0.10 mol) of the precursor compound synthesized in the above procedure, 22.2 g (0.10 mol) of 3-(triethoxysilyl)propan-1-ol was added dropwise with stirring. The reaction was performed with the immersion in an oil bath heated to 80° C. in the same way as in the first step. After completion of the dropwise addition, the reaction was continued for 24 hours, leading to aging. After completion of the aging, HPLC and FT-IR measurements were performed. As a result of the HPLC measurement, the peaks of the raw materials 2-(((4-(2-(4-isocyanate-phenyl)propane-2-yl)phenyl)carbamoyl)oxy)ethyl methacrylate and 3-(triethoxysilyl)propan-1-ol disappeared and 2-(((4-(2-(4-(((3-(triethoxysilyl)propoxy)carbonyl)amino)phenyl)propan-2-yl)phenyl)carbamoyl)oxy)ethyl methacrylate (molecular weight 630.81) was confirmed. As a result of FT-IR measurement, a disappearance of isocyanate absorption at 2280-2250 cm−1 and a disappearance of hydroxy group absorption near 3300 cm−1 were confirmed. The chemical structure formula of the compound synthesized in this synthetic example are described below.

[Figure (not displayed)]

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Patent 2024
2-hydroxyethyl methacrylate acetonitrile Anabolism Bath Benzene ethylmethacrylate High-Performance Liquid Chromatographies Isocyanates Propane Silanes Submersion Thermometers Toluene Urethane

Example 1

This example describes an exemplary nanostructure (i.e. nanocomposite tecton) and formation of a material using the nanostructure.

A nanocomposite tecton consists of a nanoparticle grafted with polymer chains that terminate in functional groups capable of supramolecular binding, where supramolecular interactions between polymers grafted to different particles enable programmable bonding that drives particle assembly (FIG. 4). Importantly, these interactions can be manipulated separately from the structure of the organic or inorganic components of the nanocomposite tecton, allowing for independent control over the chemical composition and spatial organization of all phases in the nanocomposite via a single design concept. Functionalized polystyrene polymers were made from diaminopyridine or thymine modified initiators via atom transfer radical polymerization, followed by post-functionalization to install a thiol group that allowed for particle attachment (FIG. 5). The polymers synthesized had three different molecular weights (˜3.7, ˜6.0, and ˜11.0 kDa), as shown in FIG. 6, with narrow dispersity (Ð<1.10), and were grafted to nanoparticles of different diameters (10, 15, 20, and nm) via a “grafting-to” approach.

Once synthesized, nanocomposite tectons were functionalized with either diaminopyridine-polystyrene or thymine-polystyrene were readily dispersed in common organic solvents such as tetrahydrofuran, chloroform, toluene, and N,N′-dimethylformamide with a typical plasmonic resonance extinction peak at 530-540 nm (FIG. 7A) that confirmed their stability in these different solvents. Upon mixing, diaminopyridine-polystyrene and thymine-polystyrene coated particles rapidly assembled and precipitated from solution, resulting in noticeable red-shifting, diminishing, and broadening of the extinction peak within 1-2 minutes (example with 20 nm gold nanoparticles and 11.0 kDa polymers, FIG. 7B). Within 20 minutes, the dispersion appeared nearly colorless, and large, purple aggregates were visible at the bottom of the tube. After moderate heating (˜55° C. for ˜1-2 minutes for the example in FIG. 7B), the nanoparticles redispersed and the original color intensity was regained, demonstrating the dynamicity and complete reversibility of the diaminopyridine-thymine directed assembly process. Nanocomposite tectons were taken through multiple heating and cooling cycles without any alteration to assembly behavior or optical properties, signifying that they remained stable at each of these thermal conditions (FIG. 7C).

A key feature of the nanocomposite tectons is that the sizes of their particle and polymer components can be easily modified independent of the supramolecular binding group's molecular structure. However, because this assembly process is driven via the collective interaction of multiple diaminopyridine and thymine-terminated polymer chains, alterations that affect the absolute number and relative density of diaminopyridine or thymine groups on the nanocomposite tecton surface impact the net thermodynamic stability of the assemblies. In other words, while all constructs should be thermally reversible, the temperature range over which particle assembly and disassembly occurs should be affected by these variables. To better understand how differences in nanocomposite tecton composition impact the assembly process, nanostuctures were synthesized using different nanoparticle core diameters (10-40 nm) and polymer spacer molecular weights (3.7-11.0 kDa), and allowed to fully assemble at room temperature (˜22° C.) (FIG. 8). Nanocomposite tectons were then monitored using UV-Vis spectroscopy at 520 nm while slowly heating at a rate of 0.25° C./min, resulting in a curve that clearly shows a characteristic disassembly temperature (melting temperature, Tm) for each nanocomposite tecton composition.

From these data, two clear trends can be observed. First, when holding polymer molecular weight constant, Tm increases with increasing particle size (FIG. 8A). Conversely, when keeping particle diameter constant, Tm drastically decreases with increasing polymer length (FIG. 8B). To understand these trends, it is important to note that nanocomposite tecton dissociation is governed by a collective and dynamic dissociation of multiple individual diaminopyridine-thymine bonds, which reside at the periphery of the polymer-grafted nanoparticles. The enthalpic component of nanocomposite tecton bonding behavior is therefore predominantly governed by the local concentration of the supramolecular bond-forming diaminopyridine and thymine groups, while the entropic component is dictated by differences in polymer configuration in the bound versus unbound states.

All nanocomposite tectons possess similar polymer grafting densities (i.e. equivalent areal density of polymer chains at the inorganic nanoparticle surface, FIG. 9) regardless of particle size or polymer length. However, the areal density of diaminopyridine and thymine groups at the periphery of the nanocomposite tectons is not constant as a function of these two variables due to nanocomposite tecton geometry. When increasing inorganic particle diameter, the decreased surface curvature of the larger particle core forces the polymer chains into a tighter packing configuration, resulting in an increased areal density of diaminopyridine and thymine groups at the nanocomposite tecton periphery; this increased concentration of binding groups therefore results in an increased Tm, explaining the trend in FIG. 8A.

Conversely, for a fixed inorganic particle diameter (and thus constant number of polymer chains per particle), increasing polymer length decreases the areal density of diaminopyridine and thymine groups at the nanocomposite tecton periphery due to the “splaying” of polymers as they extend off of the particle surface, thereby decreasing Tm in a manner consistent with the trend in FIG. 8B. Additionally, increasing polymer length results in a greater decrease of system entropy upon nanocomposite tecton assembly, due to the greater reduction of polymer configurations once the polymer chains are linked via a diaminopyridine-thymine bond; this would also be predicted to reduce T m. Within the temperature range tested, all samples were easily assembled and disassembled via alterations in temperature. Inorganic particle diameter and polymer length are therefore both effective handles to control nanocomposite tecton assembly behavior.

Importantly, because the nanocomposite tecton assembly process is based on dynamic, reversible supramolecular binding, it should be possible to drive the system to an ordered equilibrium state where the maximum number of binding events can occur. The particle cores and polymer ligands are polydisperse (FIG. 10) and ordered arrangements represent the thermodynamically favored state for a set of assembled nanocomposite tectons. When packing nanocomposite tectons into an ordered lattice, deviations in particle diameter would be expected to generate inconsistent particle spacings that would decrease the overall stability of the assembled structure. However, the inherent flexibility of the polymer chains should allow the nanocomposite tectons to adopt a conformation that compensates for these structural defects. As a result, an ordered nanocomposite tecton arrangement would still be predicted to be stable if it produced a larger number of diaminopyridine-thymine binding events than a disordered structure and this increase in binding events outweighed the entropic penalty of reduction in polymer chain configurations.

To test this hypothesis, multiple sets of assembled nanocomposite tectons were thermally annealed at a temperature just below their Tm, allowing particles to reorganize via a series of binding and unbinding events until they reached the thermodynamically most stable conformation. The resulting structures were analyzed with small angle X-ray scattering, revealing the formation of highly ordered mesoscale structures where the nanoparticles were arranged in body-centered cubic superlattices (FIG. 11). The body-centered cubic structure was observed for multiple combinations of particle size and polymer length, indicating that the nanoscopic structure of the composites can be controlled as a function of either the organic component (via polymer length), the inorganic component (via particle size), or both, making this nanocomposite tecton scheme a highly tailorable method for the design of future nanocomposites.

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Patent 2024
chemical composition Chloroform Cuboid Bone Dimethylformamide Entropy Extinction, Psychological Gold Human Body Ligands Molecular Structure Polymerization Polymers Polystyrenes Radiography Solvents Spectrum Analysis Sulfhydryl Compounds tetrahydrofuran Thymine Toluene Vibration Vision
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Example 151

[Figure (not displayed)]

To a solution of compound 662 (0.270 g, 0.177 mmol, 1.0 eq.) in DCM (6.0 mL) at r.t. was added TFA (2.0 mL) and stirred for 4 h. The mixture was diluted with anhydrous toluene and concentrated, this operation was repeated for three times to give yellow oil, which was purified on prep-HPLC (C18 column, mobile phase A: water, mobile phase B: acetonitrile, from 10% of B to 80% of B in 60 min). The fractions were pooled and lyophilized to give the title compound (172 mg, 83% yield). ESI m/z calcd for C57H90N11O13S [M+H]+: 1168.6, found: 1168.6.

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Patent 2024
acetonitrile Anabolism High-Performance Liquid Chromatographies Toluene

Example 456

(S)-2-(4-(6-((2,5-difluoro-4-methylbenzyl)oxy)pyridin-2-yl)-2,5-difluorobenzyl)-1-(4,4-dimethyltetrahydrofuran-3-yl)-1H-benzo[d]imidazole-6-carboxylic acid was prepared in a manner as described in Procedure 27, starting with Intermediates I-1219 and 1-(bromomethyl)-2,5-difluoro-4-methyl-benzene. 1H NMR (400 MHz, Methanol-d4) δ 8.90 (s, 1H), 8.18 (dd, J=8.6, 1.4 Hz, 1H), 7.93 (dd, J=10.9, 6.3 Hz, 1H), 7.89-7.73 (m, 2H), 7.58 (dd, J=7.5, 1.5 Hz, 1H), 7.39 (dd, J=11.2, 6.0 Hz, 1H), 7.20 (dd, J=9.7, 6.0 Hz, 1H), 7.04 (dd, J=10.1, 6.1 Hz, 1H), 6.92 (d, J=8.3 Hz, 1H), 5.50 (s, 2H), 5.14 (d, J=6.6 Hz, 1H), 4.81-4.60 (m, 3H), 4.53 (dd, J=11.7, 6.7 Hz, 1H), 4.00 (d, J=8.9 Hz, 1H), 3.84 (d, J=8.9 Hz, 1H), 2.26 (d, J=1.9 Hz, 3H), 1.41 (s, 3H), 0.76 (s, 3H). ES/MS m/z: 620.3 (M+H+).

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Patent 2024
1H NMR Carboxylic Acids imidazole Methanol Toluene
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Example 158

[Figure (not displayed)]

To a solution of compound 671 (0.20 g, 0.349 mmol, 1.0 eq) in DCM (6.0 mL) at r.t. was added TFA (2.0 mL) and the reaction was stirred for 2 h, then diluted with anhydrous toluene and concentrated, this operation was repeated for three times to give the title compound as a yellow oil (165 mg, theoretical yield). ESI m/z calcd for C24H36N5O5 [M+H]+: 474.3, found: 474.3.

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Patent 2024
Anabolism Toluene

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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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Toluene is a colorless, flammable liquid chemical compound with a distinctive benzene-like odor. It is commonly used as a solvent and in the production of various chemical products.
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Methanol is a clear, colorless, and flammable liquid that is widely used in various industrial and laboratory applications. It serves as a solvent, fuel, and chemical intermediate. Methanol has a simple chemical formula of CH3OH and a boiling point of 64.7°C. It is a versatile compound that is widely used in the production of other chemicals, as well as in the fuel industry.
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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 clear, colorless liquid organic compound with a distinct benzene-like odor. It is a versatile solvent commonly used in various laboratory applications, including as a reagent, cleaning agent, and extraction solvent.
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Acetonitrile is a colorless, volatile, flammable liquid. It is a commonly used solvent in various analytical and chemical applications, including liquid chromatography, gas chromatography, and other laboratory procedures. Acetonitrile is known for its high polarity and ability to dissolve a wide range of organic compounds.
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Hydrochloric acid is a commonly used laboratory reagent. It is a clear, colorless, and highly corrosive liquid with a pungent odor. Hydrochloric acid is an aqueous solution of hydrogen chloride gas.

More about "Toluene"

Toluene, also known as methylbenzene or phenylmethane, is a versatile aromatic hydrocarbon compound with the chemical formula C6H5CH3.
It is a colorless, flammable liquid with a distinct, benzene-like odor.
Toluene is widely utilized across various industries as an industrial solvent, chemical feedstock, and fuel component.
It is a common ingredient in paints, adhesives, cleaning products, and other consumer goods.
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This innovative tool allows researchers to easily identify the best protocols and products from published literature, preprints, and patents, enhancing the efficiency and reproducibility of their toluene-focused experiments.
In addition to toluene, other related compounds such as methanol, ethanol, oleic acid, acetone, chloroform, and acetonitrile, as well as hydrochloric acid, may be of interest to researchers working in this field.
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