Category: 110-42-9

Li, Song published the artcileOne-pot hydrodeoxygenation of biomass furan derivatives into decane under mild conditions over Pd/C combined with phosphotungstic acid, Safety of Methyl decanoate, the main research area is furan hydrodeoxygenation decane production palladium carbon combined phosphotungstic acid.

One-pot hydrodeoxygenation (HDO) of biomass furan derivatives into long-chain alkanes remains unclear owing to the complicated reactions at high temperatures Here, Pd/C combined with phosphotungstic acid (HPW), a strong Bronsted solid acid promoter, was developed to produce decane under mild conditions through the one-pot HDO of δ-furfurylidenelevulinic acid (FDLA). A 93.16% sum yield of alkanes including 89.53% yield of decane was obtained under 3 MPa H2 at 170°C for 4 h. The ring-opening and HDO of furans are accomplished at preheating stage, which enable to clarify the complicated reaction pathway. In addition, exptl. validations and catalytic characterizations confirm that the synergistic effect of active acid-metal sites plays a critical role in the generation of alkanes via the formation and hydrogenolysis of lactone intermediates to aldehyde/alc. This work provides guidance for the one-pot HDO of biomass furan derivatives via the combination of metal catalyst and strong Bronsted solid acid under mild conditions.

Green Chemistry published new progress about Deoxidation. 110-42-9 belongs to class esters-buliding-blocks, name is Methyl decanoate, and the molecular formula is C11H22O2, Safety of Methyl decanoate.

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

Zhou, Zi-Wei published the artcileThe Dynamic Change in Fatty Acids during the Postharvest Process of Oolong Tea Production, Application of Methyl decanoate, the main research area is oolong tea linolenic linoleic acid dynamic change; LOX; fatty acids; manufacturing process; oolong tea.

As important factors to oolong tea quality, the accumulation and dynamic change in aroma substances attracts great attention. The volatile composition of oolong tea is closely related to the precursor contents. Fatty acids (FAs) and their derivatives are basic components of oolong tea fragrance during the postharvest process. However, information about the precursors of FAs during the postharvest process of oolong tea production is rare. To investigate the transformation of fatty acids during the process of oolong tea production, gas chromatograph-flame ionization detection (GC-FID) was conducted to analyze the composition of FAs. The results show that the content of total polyunsaturated FAs initially increased and then decreased. Specifically, the contents of α-linolenic acid, linoleic acid and other representative substances decreased after the turn-over process of oolong tea production The results of partial least squares discrimination anal. (PLS-DA) showed that five types of FAs were obviously impacted by the processing methods of oolong tea (VIP > 1.0). LOX (Lipoxygenase, EC 1.13.11.12) is considered one of the key rate-limiting enzymes of long-chain unsaturated FAs in the LOX-HPL (hydroperoxide lyase) pathway, and the mech. wounding occurring during the postharvest process of oolong tea production greatly elevated the activity of LOX.

Molecules published new progress about Leaf. 110-42-9 belongs to class esters-buliding-blocks, name is Methyl decanoate, and the molecular formula is C11H22O2, Application of Methyl decanoate.

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

Zhang, Lei published the artcileA reduced reaction mechanism of biodiesel surrogates with low temperature chemistry for multidimensional engine simulation, Product Details of C11H22O2, the main research area is biodiesel surrogate multidimensional engine simulation reduced reaction mechanism.

A reduced biodiesel mechanism composed of 156 species and 589 reactions is reduced from an original complex mechanism (3299 species and 10806 reactions) based on MD, MD9D, and n-heptane as the surrogates. The mechanism reduction is conducted using the path flux anal. method, which considers multiple reaction path generations in the anal. of species interactions, and isomer lumping. These reaction states cover the high-pressure and low-temperature operating conditions of future engines using advanced combustion technologies characterized by fuel-air premixing and auto-ignition. The fidelity of the resulting reduced mechanism with low-temperature chem. is examined using a variety of applications. Close agreements between the reduced and original mechanisms are obtained in the predictions of ignition delay, history of mixture temperature, and species mole fraction during homogeneous auto-ignition and the temperature profile in PSR. The reduced mechanism, further integrated with a nitrogen oxides chem. and a two-step soot model, is implemented into the KIVA/CHEMKIN program for the 3D simulation of biodiesel spray combustion. The predicted liquid and vapor penetrations agree with the exptl. data in a non-reactive biodiesel spray simulation, indicating an accurate estimation of biodiesel phys. properties. In the simulation of biodiesel spray combustion, predicted spatial distributions of hydroxyl radical and soot also agree with the corresponding exptl. data.

Combustion and Flame published new progress about Air. 110-42-9 belongs to class esters-buliding-blocks, name is Methyl decanoate, and the molecular formula is C11H22O2, Product Details of C11H22O2.

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

Yan, DanDan published the artcileAssessment of the phytochemical profiles of novel hop (Humulus lupulus L.) cultivars: A potential route to beer crafting, Recommanded Product: Methyl decanoate, the main research area is phytochem profile Humulus hop beer; Beer; GC–accTOFMS; Hop genotypes; Humulus lupulus L.; Volatile phytochemical profile.

This study investigated the volatile phytochem. diversity of 30 samples obtained from exptl. hybrid and com. H. lupulus L. plants. Essential oils distilled from these samples were analyzed by high resolution gas chromatog. coupled with accurate mass time-of-flight mass spectrometry (GC-accTOFMS). A total of 58 secondary metabolites, mainly comprising 18 esters, 6 monoterpene hydrocarbons, 2 oxygenated monoterpenes, 20 sesquiterpene hydrocarbons, 7 oxygenated sesquiterpenes, and 4 ketones, were pos. or tentatively identified. A total of 24 metabolites were detected in all samples, but com. cultivars (selected for brewing performance) had fewer compounds identified compared to exptl. genotypes. Chemometrics analyses enabled distinct differentiation of exptl. hybrids from com. cultivars, discussed in terms of the different classes of compounds present in different genotypes. Differences among the mono- and sesquiterpenoids, appear to be related to either: i) the genetic origin of the plants; or ii) the processes of bioaccumulation of the identified secondary metabolites.

Food Chemistry published new progress about Beer. 110-42-9 belongs to class esters-buliding-blocks, name is Methyl decanoate, and the molecular formula is C11H22O2, Recommanded Product: Methyl decanoate.

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

Buras, Zachary J. published the artcileSimulated production of OH, HO2, CH2O, and CO2 during dilute fuel oxidation can predict 1st-stage ignition delays, Quality Control of 110-42-9, the main research area is hydroxyl hydroperoxo formaldehyde fuel oxidation autoignition plug flow reactor.

Chem. kinetics simulations are used to explore whether detailed measurements of relevant chem. species during the oxidation of very dilute fuels (less than 1 Torr partial pressure) in a high-pressure plug flow reactor (PFR) can predict autoignition propensity. We find that for many fuels the timescale for the onset of spontaneous oxidation in dilute fuel/air mixtures in a simple PFR is similar to the 1st-stage ignition delay time (IDT) at stoichiometric engine-relevant conditions. For those fuels that deviate from this simple trend, the deviation is closely related to the peak rate of production of OH, HO2, CH2O, and CO2 formed during oxidation We use these insights to show that an accurate correlation between simulated profiles of these species in a PFR and 1st-stage IDT can be developed using convolutional neural networks. Our simulations suggest that the accuracy of such a correlation is 10-50%, which is appropriate for rapid fuel screening and may be sufficient for predictive fuel performance modeling.

Combustion and Flame published new progress about Fuels. 110-42-9 belongs to class esters-buliding-blocks, name is Methyl decanoate, and the molecular formula is C11H22O2, Quality Control of 110-42-9.

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

Furdikova, Katarina published the artcileComparison of volatiles in noble-rotten and healthy grape berries of Tokaj, SDS of cas: 110-42-9, the main research area is Vitis glycerol ethanol citric gluconic succinic acid.

The presented work compares basic parameters as well as comprehensive profiles of volatile organic compounds identified in healthy and noble-rotten grape berries of 6 Tokaj grapevine varieties (Muscat Lunel, Furmint, Lipovina, Zet́a, Kabar and Fat grape). Volatile components were determined by GC × GC-HRTOF-MS with previous solid phase microextraction of volatiles from head space and expressed as relative concentrations The greatest differences between the basic composition of healthy and noble-rotten grapes were found in glycerol, ethanol, citric, gluconic and succinic acid. 116 volatile compounds were identified and compared in scope of their ability to distinguish healthy and noble-rotten berries in context of aromatic or non-aromatic variety. Regardless of grapevine variety, 59 compounds significantly distinguished noble rot from healthy berries whereby the most important were 2-hepten-1-ol, 2-octen-1-ol, hexadecanoic acid, 3,5-octadien-2-one, sulcatol and hexyl acetate. Volatile profiles of healthy as well as noble-rotten berries of aromatic variety Muscat Lunel differed from non-aromatic ones and were characterized mostly by higher relative concentrations of terpenoids neo-allo ocimene, cis-rose oxide, linalool, nerol oxide and sulcatol.

LWT–Food Science and Technology published new progress about Grape. 110-42-9 belongs to class esters-buliding-blocks, name is Methyl decanoate, and the molecular formula is C11H22O2, SDS of cas: 110-42-9.

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

Chizzola, Remigius published the artcileVariability of volatiles in Pinus cembra L. within and between trees from a stand in the Salzburg Alps (Austria) as assessed by essential oil and SPME analysis, Related Products of esters-buliding-blocks, the main research area is Pinus cembra volatile essential oil SPME analysis.

Pinus cembra L. is a coniferous European mountain range tree rich in oleoresins and essential oils. Twig tips with needles are the most common tree parts used to obtain essential oils. As the whole tree contains volatiles, the essential oil composition from different parts was studied, including twig tips with needles from the bottom, the top and the cone bearing branches, cones, twigs without needles from the lower and upper part of the crown as well as wood and bark from the trunk. The variability in essential oil composition between these plant parts and between individual trees has been studied using multivariate statistical analyses. α-Pinene was present in all samples, being highest in cones (49.3%) and lowest in sapwood (0.7%). Twig tips with needles from different parts of the crown had similar essential oil composition with α-pinene (43.9-48.3%), β-phellandrene (13.1-17.2%), β-pinene (6.6-9.3%), germacrene D (5.1-6.8%) and limonene (4.1-6.1%) as main compounds Twig essential oils had usually more β;-phellandrene (23.9-29.8%) than α-pinene (23.3-24.3%) and also appreciable amounts of β-pinene (13.5-15.1%) and limonene (11.9-17.9%). Cone essential oils contained mainly α-pinene, β-pinene (20.1%) and limonene (13.9%). The essential oils from wood and bark were rich in diterpenes as cembratrienol (4.9-21.4%), cembrene (4.8-14.3%) and Me daniellate (2.7-6.8%). Sapwood distillates contained also notable amounts of alkane derivatives Finally, the solventfree SPME technique has been employed to analyze the volatiles in the plant parts. For needles and cones the observed patterns were in good accordance with the compositions of the resp. essential oils.

Genetic Resources and Crop Evolution published new progress about Bark. 110-42-9 belongs to class esters-buliding-blocks, name is Methyl decanoate, and the molecular formula is C11H22O2, Related Products of esters-buliding-blocks.

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

Van Holle, Ann published the artcileSingle Nucleotide Polymorphisms and Biochemical Markers As Complementary Tools To Characterize Hops (Humulus lupulus L.) in Brewing Practice, Application of Methyl decanoate, the main research area is SNP biomarker hop characterization brewing; Humulus lupulus L.; biochemical fingerprinting; genotyping; growth location; quality.

In brewing practice, the use of the appropriate hop variety is essential to produce consistent and high-quality beers. Yet, hop batches of the same variety cultivated in different geog. regions can display significant biochem. differences, resulting in specific taste- and aroma-related characteristics in beer. In this study, we illustrate the complementarity of genetic and biochem. fingerprinting methods to fully characterize hop batches. Using genotyping-by-sequencing (GBS), a set of 1 830 polymorphic single nucleotide polymorphism (SNP) markers generated 48 unique genetic fingerprints for a collection of 56 com. hop varieties. Three groups of varieties, consisting of somaclonal variants, could not be further differentiated using this set of markers. Biochem. marker information offered added value to characterize hop samples from a given variety grown at different geog. locations. We demonstrate the power of combining genetic and biochem. fingerprints for quality control of hop batches in the brewing industry.

Journal of Agricultural and Food Chemistry published new progress about Beer. 110-42-9 belongs to class esters-buliding-blocks, name is Methyl decanoate, and the molecular formula is C11H22O2, Application of Methyl decanoate.

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

Ramsey, Imogen published the artcileAssessing the sensory and physicochemical impact of reverse osmosis membrane technology to dealcoholize two different beer styles, Application In Synthesis of 110-42-9, the main research area is beer dealcoholization sensory physicochem impact reverse osmosis membrane technol; Dealcoholization; Non-alcoholic beer; Physicochemical; Reverse osmosis; Sensory.

A pilot scale dealcoholisation unit fitted with reverse osmosis (RO) membranes was used to directly compare two beer matrixes (stout, lager, ∼ 5% ABV) and their dealcoholized counterparts (∼0.5% ABV), for physicochem. properties (volatiles, pH, ABV, polyphenols, bitterness) and sensory profiles using a trained descriptive panel (n = 12). The efficiency and consistency of RO membranes were evaluated by replicate dealcoholisation trials (n = 3) for each beer. Statistical anal. revealed significant reductions (p < 0.05) in key volatile compounds with linear structures (Et octanoate, octan-1-ol) compared to those with increased levels of branching (3-methylbutyl acetate, 2-methylpropan-1-ol). Significant reductions (p < 0.0001) in fruity/estery, alc./solvent, malty, sweetness and body sensory attributes were also discovered. Finally, longer processing times for the stout across replicate trials suggested membrane clogging, while differences in volatile reduction suggested membrane fouling. This novel research proposes compound structure, rather than compound size, impacts RO membrane permeability and resulting sensory quality. Food Chemistry: X published new progress about Beer. 110-42-9 belongs to class esters-buliding-blocks, name is Methyl decanoate, and the molecular formula is C11H22O2, Application In Synthesis of 110-42-9.

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

Perestrelo, Rosa published the artcileDifferentiation of fresh and processed fruit juices using volatile composition, Application of Methyl decanoate, the main research area is Vitis Fragaria fresh processed fruit juice volatile composition; GC-MS; HS-SPME; fresh juice; processed juice; volatile pattern.

In the current study, a comprehensive approach based on headspace solid-phase microextraction (HS-SPME), combined with gas chromatog.-quadrupole mass spectrometry (GC-qMS), was used to establish the volatile signature of fresh and processed fruit juices, obtained from the same batch of grapes, red fruits, orange, pear, and apple. This is a powerful tool for evaluating the impact of the production process on the volat. pattern of fruit juice. A total of 169 volatile organic compounds (VOCs) belonging to different chem. groups were identified. Esters, carbonyl compounds, terpenoids, and alcs. are the major chem. groups in the investigated fruit juices. However, their contribution to the total volatile profile varied. Special attention should be paid to processed fruit juices to avoid the possible deleterious effects associated with the formation of furanic compounds (e.g., heat treatment), since their furanic content was significantly higher in comparison to that of fresh fruit juices. The knowledge obtained in the current study will allow for the introduction of modifications to the process involved in processing juice, which will improve the organoleptic characteristics of processed juices, contributing to a better acceptance by consumers. Furthermore, more assays should be performed to assess the effect of harvests, geog., and agronomy on the volatile profile of juices.

Molecules published new progress about Apple. 110-42-9 belongs to class esters-buliding-blocks, name is Methyl decanoate, and the molecular formula is C11H22O2, Application of Methyl decanoate.

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