Tag: M.W=150-200

Slavova, Tatiana G. published the artcileEncapsulation of fragrances and oils by core-shell structures from silica nanoparticles, surfactant and polymer: Effect of particle size, SDS of cas: 140-11-4, the main research area is encapsulation fragrance oil silica nanoparticle surfactant polymer.

Oils and fragrances can be encapsulated by using composite shells of silica nanoparticles, polymer and surfactant (potassium oleate). The template for the creation of the core-shell structure is a particle stabilized (Pickering) emulsion. The surfactant adsorbs on the nanoparticles and leads to their reversible hydrophobization and adsorption on the oil/water interface. The outer layer of the self-assembled shell represents a layer from crosslinked polymer. The procedure of encapsulation is simple and includes single homogenization by ultrasound of the formulation that contains all ingredients together. The produced capsules have mean radius in the range between 2 and 11μ. By order of magnitude and trend, the capsule size follows the law of limited coalescence with respect to the dependence on nanoparticle size and concentration The composite structure of the shells leads also to dependence on the concentrations of added polymer and surfactant. The produced microcapsules are stable when rinsed with pure water of pH in the range 3 – 10. However, if dispersed in water of pH > 11, the microcapsules are destabilized and release their cargo, i.e., they are pH-responsive. Various fragrances and oils, such as limonene, citronellol, benzyl acetate, and sunflower seed oil were encapsulated. The developed methodol. could find applications in any field, in which reversible encapsulation of oily substances is needed.

Colloids and Surfaces, A: Physicochemical and Engineering Aspects published new progress about Encapsulation. 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

Corsini, Lara published the artcileCharacterization by gas chromatography-olfactometry of the most odour-active compounds in Italian balsamic vinegars with geographical indication, Category: esters-buliding-blocks, the main research area is balsamic vinegar odor compound geog GC olfactometry; Aroma; Balsamic vinegars from Modena; Gas chromatography-olfactometry; Geographical indication; Odour-active compounds.

Odor-active compounds in three traditional balsamic vinegars from Modena (TB) and seven balsamic vinegars from Modena (PGI) were determined by gas chromatog.-olfactometry (GC-O) using frequency of detection methodol. (modified frequency, MF, %). The main odor compounds (mean MF > 60%) were 2,3-butanedione (75%), acetic acid (70%), furan-2-carbaldehyde (62%), 1-(furan-2-yl)ethanone (62%), 2-methylpropanoic acid (66%), butanoic acid (78%), 3-methylbutanoic acid (83%), 2-phenylethyl acetate (65%), 2-hydroxy-3-methylcyclopent-2-en-1-one (61%), 2-phenylethan-1-ol (84%), 3-hydroxy-2-methylpyran-4-one (60%), (5-formylfuran-2-yl)methyl acetate (68%), 2-phenylacetic acid (69%) and 4-hydroxy-3-methoxybenzaldehyde (86%). All odor impact compounds were grouped into 7 categories according to their aromatic character: cheesy-butter-lactic, sweet, flower, empyreumatic, fruity, chem. and miscellaneous Balsamic vinegars from Modena showed lower values for the sweet category whereas for the miscellaneous and chem. categories they exhibited higher values than those found in traditional balsamic vinegars from Modena. A principal component anal. showed that both types of vinegars from Modena could be clearly differentiated based on olfactometric data.

Food Chemistry published new progress about Food analysis. 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

Bi, Shuang published the artcileGas chromatography-mass spectrometry combined with multivariate data analysis as a tool for differentiating between processed orange juice samples on the basis of their volatile markers, Formula: C10H20O2, the main research area is GC MS multivariate analysis orange juice volatile marker; (E)-2-Heptenal (PubChem CID 5283316); (E)-2-nonenal (PubChem CID 5283335); Carveol (PubChem CID 7438); Discriminant volatile compound; Ethyl butanoate (PubChem CID 7762); Gas chromatography–mass spectrometry; Heptanal (PubChem CID 8130); High hydrostatic pressure; Nootkatone (PubChem CID 1268142); Orange juice; Partial least-squares analysis; Pasteurization; d-Carvone (PubChem CID 16724); d-Limonene (PubChem CID 440917); p-Mentha-1,5-dien-8-ol (PubChem CID 519323); β-Terpineol (PubChem CID 8748).

The contents of volatile aroma compounds in orange juice vary after high hydrostatic pressure (HHP) processing and pasteurization, and hence gas chromatog.-mass spectrometry has potential for discriminating between orange juice samples according to the processing method. Effects of HHP processing and pasteurization on orange juice were investigated immediately after processing and after storage for 28 days at 4°C. Processing decreased the contents of most terpenes and esters and increased those of alcs. and aldehydes. Volatile compounds that could serve as discriminant indicators of HHP processing and pasteurization were heptanal, (E)-2-heptenal, (E)-2-nonenal, and d-carvone and β-terpineol, p-mentha-1,5-dien-8-ol, carveol, and β-copaene, resp. The discrimination abilities of pH, ascorbic acid, total soluble solids, and color were compared with those of volatile compounds, which were found to be lower. The compounds d-carvone and β-terpineol could be used as discriminant indicators of HHP-treated and pasteurized orange juice, resp., throughout the storage period.

Food Chemistry published new progress about Food analysis. 106-32-1 belongs to class esters-buliding-blocks, name is Ethyl octanoate, and the molecular formula is C10H20O2, Formula: C10H20O2.

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

Luo, Manli published the artcileGlycine betaine treatment alleviates loss of aroma-related esters in cold-stored ‘Nanguo’ pears by regulating the lipoxygenase pathway, SDS of cas: 106-32-1, the main research area is Pyrus ester lipoxygenase pathway; Antioxidant activity; Aroma-related esters; Glycine betaine; Lipoxygenase pathway; ‘Nanguoâ€?pears.

Glycine betaine (GB) is known to alleviate chilling injury in many fruit species. Therefore, we studied how GB affects the biosynthesis of esters in ‘Nanguo’ pears. Based on the kinds of esters, total esters, and the quantity of the main esters, it was evident that aroma losses were alleviated by GB treatment. In addition, unsaturated fatty acids contents (linoleic and linolenic acid) and the activities of lipoxygenase (LOX) and alc. acyltransferase (AAT) enzymes were also increased. Meanwhile, comparing with the control fruit, the genes directly involved in ester synthesis were up-regulated in the GB-treated fruit. In addition, an increase in the activities and gene expression of antioxidant enzymes was observed in the treated samples. Thus, GB treatment promotes the synthesis of esters by regulating the LOX pathway and increasing antioxidant capacity, thereby effectively improving the quality of esters in cold-stored fruit.

Food Chemistry published new progress about Food analysis. 106-32-1 belongs to class esters-buliding-blocks, name is Ethyl octanoate, and the molecular formula is C10H20O2, SDS of cas: 106-32-1.

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

Bogatishcheva, Nataliya S. published the artcileHeat capacities and thermal diffusivities of some n-alkanoic acid methyl esters, Formula: C9H18O2, the main research area is alkanoic acid methyl ester heat capacity thermal diffusivity temperature.

The heat capacities and thermal diffusivities of n-alkanoic acid Me esters CnH2n-1O2CH3 with n from 6 to 12 have been measured. The heat capacities have been measured in the temperature range from 303.15 K to 373.15 K; the measurements of thermal diffusivity have been carried out for a given Me ester from 303.15 K to the temperature at which a noticeable evaporation of the ester took place. The temperature dependencies of the heat capacities and thermal diffusivities have been approximated by a third-order and a first-order polynomial, resp. It has been shown that the dependence of the molar heat capacity on n (n = 1-14) at a temperature of 298.15 K is close to linear.

Journal of Chemical Thermodynamics published new progress about Heat capacity. 111-11-5 belongs to class esters-buliding-blocks, name is Methyl octanoate, and the molecular formula is C9H18O2, Formula: C9H18O2.

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

Bogatishcheva, Nataliya S. published the artcileHeat capacities and thermal diffusivities of some n-alkanoic acid methyl esters, COA of Formula: C11H22O2, the main research area is alkanoic acid methyl ester heat capacity thermal diffusivity temperature.

The heat capacities and thermal diffusivities of n-alkanoic acid Me esters CnH2n-1O2CH3 with n from 6 to 12 have been measured. The heat capacities have been measured in the temperature range from 303.15 K to 373.15 K; the measurements of thermal diffusivity have been carried out for a given Me ester from 303.15 K to the temperature at which a noticeable evaporation of the ester took place. The temperature dependencies of the heat capacities and thermal diffusivities have been approximated by a third-order and a first-order polynomial, resp. It has been shown that the dependence of the molar heat capacity on n (n = 1-14) at a temperature of 298.15 K is close to linear.

Journal of Chemical Thermodynamics published new progress about Heat capacity. 110-42-9 belongs to class esters-buliding-blocks, name is Methyl decanoate, and the molecular formula is C11H22O2, COA of Formula: C11H22O2.

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

Boetje, Laura published the artcileMore efficient synthesis and properties of saturated and unsaturated starch esters, COA of Formula: C9H18O2, the main research area is synthesis property saturated unsaturated starch ester hydrophobicity contact angle; Fatty acid starch ester; Hydrophobicity; Methyl 10-undcenoate (PubChem CID: 8138); Methyl linoleate (PubChem CID: 5284421); Methyl octanoate (PubChem CID: 8091); Methyl oleate (PubChem CID: 5364509); Methyl stearate (PubChem CID: 8201); Methyl trans-2-octenoate (PubChem CID: 5364532); Methyl undecanoate (PubChem CID: 15607); Side-chain crystallinity; Thermal properties; Transesterification; Unsaturated fatty acid.

This work presents a series of starch esters synthesized via 1,5,7-triazabicyclo[4.4.0]-dec-5-ene (TBD) catalyzed transesterifications in DMSO (DMSO). The reaction was performed with saturated and unsaturated fatty acids (8, 11, and 18 carbon atoms). The degree of substitution (DS) was raised by purging the reaction flask with nitrogen instead of simply performing the reaction under a nitrogen atm. The increase of DS was most obvious for long-chain fatty acids, as an almost complete DS was observed for starch stearate (2.8) and starch oleate (2.7). The products were characterized by differential scanning calorimetry (DSC), thermogravimetric anal. (TGA), and X-ray diffraction. Starch esters from unsaturated fatty acids have a lower Tg than their saturated analogs. Moreover, contact angle and moisture uptake measurements showed increased hydrophobicity for all starch esters in comparison to pristine starch. Our results show a more efficient method for synthesizing a biobased material that steers into the direction of a material that could replace conventional plastics.

Carbohydrate Polymers published new progress about Contact angle. 111-11-5 belongs to class esters-buliding-blocks, name is Methyl octanoate, and the molecular formula is C9H18O2, COA of Formula: C9H18O2.

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

Fan, Xiaqiong published the artcileDeep-Learning-Assisted multivariate curve resolution, COA of Formula: C11H22O2, the main research area is deep learning assisted multivariate curve resolution; Deep Learning; GC-MS; Multivariate Curve Resolution.

Gas chromatog.-mass spectrometry (GC-MS) is one of the major platforms for analyzing volatile compounds in complex samples. However, automatic and accurate extraction of qual. and quant. information is still challenging when analyzing complex GC-MS data, especially for the components incompletely separated by chromatog. Deep-Learning-Assisted Multivariate Curve Resolution (DeepResoln.) was proposed in this study. It essentially consists of convolutional neural networks (CNN) models to determine the number of components of each overlapped peak and the elution region of each compound With the assistance of the predicted elution regions, the informative regions (such as selective region and zero-concentration region) of each compound can be located precisely. Then, full rank resolution (FRR), multivariate curve resolution-alternating least squares (MCR-ALS) or iterative target transformation factor anal. (ITTFA) can be chosen adaptively to resolve the overlapped components without manual intervention. The results showed that DeepResoln. has superior compound identification capability and better quant. performances when comparing with MS-DIAL, ADAP-GC and AMDIS. It was also found that baseline levels, interferents, component concentrations and peak tailing have little influences on resolution result. Besides, DeepResoln. can be extended easily when encountering unknown component(s), due to the independence of each CNN model. All procedures of DeepResoln. can be performed automatically, and adaptive selection of resolution methods ensures the balance between resolution power and consumed time. It is implemented in Python and available at https://github.com/XiaqiongFan/DeepResoln.

Journal of Chromatography A published new progress about Deep learning. 110-42-9 belongs to class esters-buliding-blocks, name is Methyl decanoate, and the molecular formula is C11H22O2, COA of Formula: C11H22O2.

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

Fan, Xiaqiong published the artcileDeep-Learning-Assisted multivariate curve resolution, Synthetic Route of 111-11-5, the main research area is deep learning assisted multivariate curve resolution; Deep Learning; GC-MS; Multivariate Curve Resolution.

Gas chromatog.-mass spectrometry (GC-MS) is one of the major platforms for analyzing volatile compounds in complex samples. However, automatic and accurate extraction of qual. and quant. information is still challenging when analyzing complex GC-MS data, especially for the components incompletely separated by chromatog. Deep-Learning-Assisted Multivariate Curve Resolution (DeepResoln.) was proposed in this study. It essentially consists of convolutional neural networks (CNN) models to determine the number of components of each overlapped peak and the elution region of each compound With the assistance of the predicted elution regions, the informative regions (such as selective region and zero-concentration region) of each compound can be located precisely. Then, full rank resolution (FRR), multivariate curve resolution-alternating least squares (MCR-ALS) or iterative target transformation factor anal. (ITTFA) can be chosen adaptively to resolve the overlapped components without manual intervention. The results showed that DeepResoln. has superior compound identification capability and better quant. performances when comparing with MS-DIAL, ADAP-GC and AMDIS. It was also found that baseline levels, interferents, component concentrations and peak tailing have little influences on resolution result. Besides, DeepResoln. can be extended easily when encountering unknown component(s), due to the independence of each CNN model. All procedures of DeepResoln. can be performed automatically, and adaptive selection of resolution methods ensures the balance between resolution power and consumed time. It is implemented in Python and available at https://github.com/XiaqiongFan/DeepResoln.

Journal of Chromatography A published new progress about Deep learning. 111-11-5 belongs to class esters-buliding-blocks, name is Methyl octanoate, and the molecular formula is C9H18O2, Synthetic Route of 111-11-5.

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

Ijichi, Chiori published the artcileMetabolism of odorant molecules in human nasal/oral cavity affects the odorant perception, Product Details of C9H10O2, the main research area is odorant mol nasal oral cavity perception; cross adaptation; enzyme; metabolism; mucus; odorant receptors; olfaction.

In this study, we examined the mode of metabolism of food odorant mols. in the human nasal/oral cavity in vitro and in vivo. We selected 4 odorants, 2-furfurylthiol (2-FT), hexanal, benzyl acetate, and Me raspberry ketone, which are potentially important for designing food flavors. In vitro metabolic assays of odorants with saliva/nasal mucus analyzed by gas chromatog. mass spectrometry revealed that human saliva and nasal mucus exhibit the following 3 enzymic activities: (i) methylation of 2-FT into furfuryl methylsulfide (FMS); (ii) reduction of hexanal into hexanol; and (iii) hydrolysis of benzyl acetate into benzyl alc. However, (iv) demethylation of Me raspberry ketone was not observed Real-time in vivo anal. using proton transfer reaction-mass spectrometry demonstrated that the application of 2-FT and hexanal through 3 different pathways via the nostril or through the mouth generated the metabolites FMS and hexanol within a few seconds. The concentration of FMS and hexanol in the exhaled air was above the perception threshold. A cross-adaptation study based on the activation pattern of human odorant receptors suggested that this metabolism affects odor perception. These results suggest that some odorants in food are metabolized in the human nasal mucus/saliva, and the resulting metabolites are perceived as part of the odor quality of the substrates. Our results help improve the understanding of the mechanism of food odor perception and may enable improved design and development of foods in relation to odor.

Chemical Senses published new progress about Demethylation. 140-11-4 belongs to class esters-buliding-blocks, name is Benzyl acetate, and the molecular formula is C9H10O2, Product Details of C9H10O2.

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