Category: 140-11-4

Peralta-Ruiz, Yeimmy published the artcilePackham′s triumph pears (Pyrus communis L.) post-harvest treatment during cold storage based on chitosan and rue essential oil, Safety of Benzyl acetate, the main research area is Pyrus communis chitosan Rue essential oil antifungal; Ruta graveolens essential oil; antifungal; chitosan.

Pears (Pyrus communis L.) cv. Packham′s Triumph are very traditional for human consumption, but pear is a highly perishable climacteric fruit with a short shelf-life affected by several diseases with a microbial origin. In this study, a protective effect on the quality properties of pears was evidenced after the surface application of chitosan-Ruta graveolens essential oil coatings (CS + RGEO) in four different concentrations (0, 0.5, 1.0 and 1.5 %, volume/volume) during 21 days of storage under 18 °C. After 21 days of treatment, a weight loss reduction of 10% (from 40.2 ± 5.3 to 20.3 ± 3.9) compared to the uncoated pears was evident with CS + RGEO 0.5%. All the fruits′ phys.-chem. properties evidenced a protective effect of the coatings. The maturity index increased for all the treatments. However, the pears with CS + RGEO 1.5% were lower (70.21) than the uncoated fruits (98.96). The loss of firmness for the uncoated samples was higher compared to the coated samples. The pears′ most excellent mech. resistance was obtained with CS + RGEO 0.5% after 21 days of storage, both for compression resistance (7.42 kPa) and force (22.7 N). Microbiol. studies demonstrated the protective power of the coatings. Aerobic mesophilic bacteria and molds were significantly reduced (in 3 Log CFU/g compared to control) using 15 μL/mL of RGEO, without affecting consumer perception. The results presented in this study showed that CS + RGEO coatings are promising in the post-harvest treatment of pears.

Molecules published new progress about Acidity. 140-11-4 belongs to class esters-buliding-blocks, name is Benzyl acetate, and the molecular formula is C9H10O2, Safety of Benzyl acetate.

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics

Yao, Lingyun published the artcileCharacterization of key aroma compounds in Xinjiang dried figs (Ficus carica L.) by GC-MS, GC-olfactometry, odor activity values, and sensory analyses, Category: esters-buliding-blocks, the main research area is Ficus carica GCMS GC olfactometry odor activity sensory analysis.

Xinjiang is the main production area of figs in China. In this work, three different methods (SDE, SAFE, and SPME) were employed to extract the volatile compounds from Xinjiang dried figs. The exactions were then analyzed using aroma extract dilution anal. (AEDA) based on gas chromatog.-mass spectrometry (GC-MS) and gas chromatog.-olfactometry (GC-O). Seventy-five aroma-active compounds were identified with flavor dilutions (FD) factors ranging from 1 to 2187. Aroma compounds with odor activity value (OAV) greater than 10 were subsequently used in aroma reconstitution and omission experiments Based on instrumental anal. and sensory evaluation, 22 compounds were identified as the key aroma compounds and eight of these were evaluated as the most important aroma contributors of Xinjiang dried figs, including heptanal, nonanal, linalool, benzyl benzoate, styrene, eugenol, 2-methoxy-4-vinylphenol, and vanillin. Moreover, three volatile components, including 2-methoxy-4-methylphenol, 2-methoxy-4-vinylphenol and ortho-guaiacol, were identified as key aroma compounds of dried figs and have not been reported previously.

LWT–Food Science and Technology published new progress about Dilution. 140-11-4 belongs to class esters-buliding-blocks, name is Benzyl acetate, and the molecular formula is C9H10O2, Category: esters-buliding-blocks.

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics

Zhang, Qingqing published the artcileHierarchically porous Bronsted acidic ionic liquid functionalized nitrogen-doped carbons for pyrolysis biofuel upgrading via esterification of acetic acid with high boiling point alcohols, Quality Control of 140-11-4, the main research area is nitrogen carbon pyrolysis biofuel Bronsted acetic acid IL esterification.

Bronsted acidic ionic liquid (BAIL) functionalized hierarchically porous nitrogen-doped carbons (NHPCs) with interesting 3D interconnected macro-meso-microporous structure are successfully prepared by chem. bonding -[C3][SO3CF-3] (C3 = PrSO3H) groups throughout the NHPC supports that are obtained via a single step CaCO3 nanoparticle-directed nanocasting approach combined with K2C2O4 chem. activation and urea/melamine self-activation during the process of carbonization of glucose and urea/melamine. By changing initial urea-to-glucose weight ratio in the preparation systems, the macro/meso/micropore proportion of the resulting GU-[C3N][SO3CF3] catalysts are well-adjusted. The morphol. characteristics, porosity properties and chem. structure of the prepared catalysts are well-characterized so that the contribution of the synergistic effect of CaCO3 nanoparticle and K2C2O4 to the formation of hierarchically porous structure is revealed. Owing to super strong Bronsted acidity and unique hierarchically porous structure of the catalysts, they exhibit excellent heterogeneous acid catalytic activity in raw pyrolysis biofuel upgrading via esterification of acetic acid with high b.p. benzyl alc. or 4-methoxybenzyl alc. in toluene media, and therefore high acetic acid removal efficiency and efficient production of value-added benzyl acetate or 4-methoxybenzyl acetate are obtained simultaneously. The catalysts also show good reusability in target reactions, attributing to chem. interactions between BAILs and NHPC supports.

Applied Catalysis, A: General published new progress about Biofuels. 140-11-4 belongs to class esters-buliding-blocks, name is Benzyl acetate, and the molecular formula is C9H10O2, Quality Control of 140-11-4.

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics

Chen, Yao published the artcileMicrowave-assisted hydrodistillation extraction based on microwave-assisted preparation of deep eutectic solvents coupled with GC-MS for analysis of essential oils from clove buds, Application In Synthesis of 140-11-4, the main research area is microwave hydrodistillation gas chromatog mass spectrometry oil clove bud.

In recent years, deep eutectic solvents (DESs) as green and sustainable solvents have been widely used in the effective extraction of natural products. Usually, DESs are synthesized by heating and stirring method which takes a long time and energy. In this case, a microwave assisted preparation technique was used to form DESs for saving time and energy. And the DESs as pretreatment solvents were combined with microwave-assisted hydrodistillation (MAHD) for the extraction of essential oils (EOs) from the clove buds in this work. The maximum essential oils yield of 4.60% was obtained with the microwave power of 600 W, the pretreatment time of 5 min and the hydrodistillation time of 40 min using a deep eutectic solvent composed of choline chloride and lactic acid (molar ratio with 1:2). In addition, the essential oil was analyzed by gas chromatog.-mass spectrometry (GC-MS), a total of 40 compounds were identified. Compared with MAHD, water-based MAHD and traditional hydrodistillation (HD), the content and composition of essential oil extracted by DES-based MAHD were higher. Thus, the combination of deep eutectic solvents with a microwave-assisted technique in this study provided an eco-friendly way of extracting essential oils.

Sustainable Chemistry and Pharmacy published new progress about Cell wall. 140-11-4 belongs to class esters-buliding-blocks, name is Benzyl acetate, and the molecular formula is C9H10O2, Application In Synthesis of 140-11-4.

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics

Son, Yeongkwon published the artcileHydroxyl Radicals in E-Cigarette Vapor and E-Vapor Oxidative Potentials under Different Vaping Patterns, SDS of cas: 140-11-4, the main research area is hydroxyl radical E cigarette vapor oxidative stress vaping flavor.

Available studies, while limited in number, suggest that e-cigarette vaping induces oxidative stress, with one potential mechanism being the direct formation of reactive oxygen species (ROS) in e-vapor. In the present studies, we measured the formation of hydroxyl radical (•OH), the most destructive ROS, in e-vapor under a range of vaping patterns (i.e., power settings, solvent concentrations, flavorings). Study results show that increased power output and puff volume correspond with the formation of significantly higher amounts of •OH in e-vapor because of elevated coil temperature and oxygen supply. Vegetable glycerin (VG) e-liquids generated higher •OH levels than propylene glycol (PG) e-liquids, as did flavored e-liquids relative to nonflavored e-liquids E-vapor in combination with ascorbic acid, which is an abundant biol. mol. in human epithelial lining fluid, can also induce •OH formation. The dose of radical per puff associated with e-cigarette vaping was 10-1000 times lower than the reported dose generated by cigarette smoking. However, the daily average •OH dose can be comparable to that from cigarette smoking depending on vaping patterns. Overall, e-cigarette users who use VG-based flavored e-cigarettes at higher power output settings may be at increased risk for •OH exposures and related health consequences such as asthma and chronic obstructive pulmonary disease.

Chemical Research in Toxicology published new progress about E-liquids. 140-11-4 belongs to class esters-buliding-blocks, name is Benzyl acetate, and the molecular formula is C9H10O2, SDS of cas: 140-11-4.

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics

Zhou, Chengzhe published the artcileIntegrated volatile metabolome, multi-flux full-length sequencing, and transcriptome analyses provide insights into the aroma formation of postharvest jasmine (Jasminum sambac) during flowering, COA of Formula: C9H10O2, the main research area is Jasminum sambac volatile metabolome transcriptome aroma formation flowering.

Jasmine [Jasminum sambac (L.) Aiton] flowers usually bloom and release their fragrance at night. However, the underlying regulatory mechanisms of aroma formation during flowering in postharvest jasmine are still poorly understood. Here, we profiled the volatile metabolome, multi-flux full-length sequencing, and transcriptome anal. to investigate volatile biosynthesis and global transcriptomic changes in postharvest flowering jasmine. A total of 102 volatiles were identified. Of these, 16 volatiles were considered key odorants of jasmine flowers. Linalool, a-farnesene, D-nerolidol, geraniol, α-cadinol, benyzl alc., benzaldehyde, benzyl acetate, benzyl benzoate, 3-hexen-1-ol benzoate, and (Z)-3-hexen-1-ol acetate play decisive roles in the typical jasmine fragrance, while benzeneacetaldehyde, benzoic acid, Me anthranilate, Me 2-(methylamino) benzoate, and (E)-2-hexenal modify the aroma of jasmine. Meanwhile, we built the first reference full-length transcriptome of postharvest jasmine flowers, which had 366,081 non-redundant isoforms. Among them, 280,326 (76.57%) were annotated with at least one hit in the NT, NR, Swissprot, KEGG, KOG, Pfam, and GO databases. Combined with second-generation transcriptome anal., we identified 52 differentially expressed transcripts (DETs) involved in terpenoid metabolic pathways and 28 DETs involved in phenylpropanoid/benzenoid metabolic pathway, and 31 β-glucosidase transcripts may be related to aroma formation of postharvest jasmine during flowering. In addition, the expression of 42 heat shock protein (HSP) transcripts was pos. correlated with the content of 11 key odorants, as revealed by weighted gene co-expression network anal. (WGCNA). The present results advance the knowledge of the regulatory mechanism of aroma formation in postharvest jasmine during flowering and provide an abundant genetic resource for further studies on gene discovery in jasmine.

Postharvest Biology and Technology published new progress about Flowering. 140-11-4 belongs to class esters-buliding-blocks, name is Benzyl acetate, and the molecular formula is C9H10O2, COA of Formula: C9H10O2.

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics

Levi, Samuel M. published the artcileCatalytic activation of glycosyl phosphates for stereoselective coupling reactions, Recommanded Product: Benzyl acetate, the main research area is stereoselective coupling catalytic glycoside preparation nucleophilic substitution thiourea; H bonding; glycosylation; organocatalysis; phosphate.

Glycosyl phosphates are shown to be activated to stereospecific nucleophilic substitution reactions by precisely tailored bis-thiourea catalysts. Enhanced reactivity and scope is observed with phosphate relative to chloride leaving groups. Stronger binding (Km) to the H-bond donor and enhanced reactivity of the complex (kcat) enables efficient catalysis with broad functional group compatibility under mild, neutral conditions.

Proceedings of the National Academy of Sciences of the United States of America published new progress about Catalysis. 140-11-4 belongs to class esters-buliding-blocks, name is Benzyl acetate, and the molecular formula is C9H10O2, Recommanded Product: Benzyl acetate.

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics

Bradford, Shanshan Y. C. published the artcileTemperature artifacts in protein structures bias ligand-binding predictions, Recommanded Product: Benzyl acetate, the main research area is temperature artifacts ligand binding prediction protein structure.

X-ray crystallog. is the gold standard to resolve conformational ensembles that are significant for protein function, ligand discovery, and computational methods development. However, relevant conformational states may be missed at common cryogenic (cryo) data-collection temperatures but can be populated at room temperature To assess the impact of temperature on making structural and computational discoveries, we systematically investigated protein conformational changes in response to temperature and ligand binding in a structural and computational workhorse, the T4 lysozyme L99A cavity. Despite decades of work on this protein, shifting to RT reveals new global and local structural changes. These include uncovering an apo helix conformation that is hidden at cryo but relevant for ligand binding, and altered side chain and ligand conformations. To evaluate the impact of temperature-induced protein and ligand changes on the utility of structural information in computation, we evaluated how temperature can mislead computational methods that employ cryo structures for validation. We find that when comparing simulated structures just to exptl. cryo structures, hidden successes and failures often go unnoticed. When using structural information in ligand binding predictions, both coarse docking and rigorous binding free energy calculations are influenced by temperature effects. The trend that cryo artifacts limit the utility of structures for computation holds across five distinct protein classes. Our results suggest caution when consulting cryogenic structural data alone, as temperature artifacts can conceal errors and prevent successful computational predictions, which can mislead the development and application of computational methods in discovering bioactive mols.

Chemical Science published new progress about Algorithm. 140-11-4 belongs to class esters-buliding-blocks, name is Benzyl acetate, and the molecular formula is C9H10O2, Recommanded Product: Benzyl acetate.

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics

Perez-Sanz, Fernando published the artcilegcProfileMakeR: an R package for automatic classification of constitutive and non-constitutive metabolites, Recommanded Product: Benzyl acetate, the main research area is gcProfileMakeR package automatic classification constitutive metabolites; R package; automatic classification; circadian clock; constitutive metabolome; floral organ identity; gcProfileMakeR; machine learning; non-constitutive metabolome.

Metabolomes comprise constitutive and non-constitutive metabolites produced due to physiol., genetic or environmental effects. However, finding constitutive metabolites and non-constitutive metabolites in large datasets is tech. challenging. We developed gcProfileMakeR, an R package using standard Excel output files from an Agilent Chemstation GC-MS for automatic data anal. using CAS numbers gcProfileMakeR has two filters for data preprocessing removing contaminants and low-quality peaks. The first function NormalizeWithinFiles, samples assigning retention times to CAS. The second function NormalizeBetweenFiles, reaches a consensus between files where compounds in close retention times are grouped together. The third function getGroups, establishes what is considered as Constitutive Profile, Non-constitutive by Frequency i.e., not present in all samples and Non-constitutive by Quality. Can be plotted with the plotGroup function. We used it to analyze floral scent emissions in four snapdragon genotypes. These included a wild type, Deficiens nicotianoides and compacta affecting floral identity and RNAi:AmLHY targeting a circadian clock gene. We identified differences in scent constitutive and non-constitutive profiles as well as in timing of emission. gcProfileMakeR is a very useful tool to define constitutive and non-constitutive scent profiles. It also allows to analyze genotypes and circadian datasets to identify differing metabolites.

Metabolites published new progress about Algorithm. 140-11-4 belongs to class esters-buliding-blocks, name is Benzyl acetate, and the molecular formula is C9H10O2, Recommanded Product: Benzyl acetate.

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics

Tan, Tian published the artcilePrediction of infinite-dilution activity coefficients with neural collaborative filtering, Synthetic Route of 140-11-4, the main research area is prediction infinite dilution activity coefficient neural collaborative filtering.

Accurate prediction of infinite dilution activity coefficient (γ∞) for phase equilibrium and process design is crucial. In this work, an exptl. γ∞ dataset containing 295 solutes and 407 solvents (21,048 points) is obtained through data integrating, cleaning, and filtering. The dataset is arranged as a sparse matrix with solutes and solvents as columns and rows, resp. Neural collaborative filtering (NCF), a modern matrix completion technique based on deep learning, is proposed to fully fill in the γ∞ matrix. Ten-fold cross-validation is performed on the collected dataset to test the effectiveness of the proposed NCF, proving that NCF outperforms the state-of-the-art phys. model and previous machine learning model. The completed γ∞ matrix makes solvent screening and extension of UNIFAC parameters possible. Taking two typical hard-to-sep. systems (benzene/cyclohexane and Me cyclopentane/n-hexane mixtures) as examples, the NCF-developed database provides high-throughput screening for separation systems in terms of solvent selectivity and capacity.

AIChE Journal published new progress about Algorithm. 140-11-4 belongs to class esters-buliding-blocks, name is Benzyl acetate, and the molecular formula is C9H10O2, Synthetic Route of 140-11-4.

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics