Tag: M.W=150-200

Khachatoorian, Careen published the artcileE-cigarette fluids and aerosol residues cause oxidative stress and an inflammatory response in human keratinocytes and 3D skin models, Name: Benzyl acetate, the main research area is human keratinocyte skin E cigarette fluid aerosol oxidative stress; Electronic cigarette; Flavors; Inflammation; Oxidative stress; Refill fluids.

Our goal was to evaluate the effects of EC refill fluids and EC exhaled aerosol residue (ECEAR) on cultured human keratinocytes and MatTek EpiDerm, a 3D air liquid interface human skin model. Quantification of flavor chems. and nicotine in Dewberry Cream and Churrios refill fluids was done using GC-MS. The dominant flavor chems. were maltol, ethyl maltol, vanillin, Et vanillin, benzyl alc., and furaneol. Cytotoxicity was determined with the MTT and LDH assays, and inflammatory markers were quantified with ELISAs. Churrios was cytotoxic to keratinocytes in the MTT assay, and both fluids induced ROS production in the medium (ROS-Glo) and in cells (CellROX). Exposure of EpiDerm to relevant concentrations of Dewberry Cream and Churrios for 4 or 24 h caused secretion of inflammatory markers (IL-1α, IL-6, and MMP-9), without altering EpiDerm histol. Lab made fluids with propylene glycol (PG) or PG plus a flavor chem. did not produce cytotoxic effects, but increased secretion of IL-1α and MMP-9, which was attributed to PG. ECEAR derived from Dewberry Cream and Churrios did not produce cytotoxicity with Epiderm, but Churrios ECEAR induced IL-1α secretion. These data support the conclusion that EC chems. can cause oxidative damage and inflammation to human skin.

Toxicology In Vitro published new progress about Aerosols. 140-11-4 belongs to class esters-buliding-blocks, name is Benzyl acetate, and the molecular formula is C9H10O2, Name: Benzyl acetate.

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

Chen, Xin published the artcileTargeted Characterization of the Chemical Composition of JUUL Systems Aerosol and Comparison with 3R4F Reference Cigarettes and IQOS Heat Sticks, Quality Control of 140-11-4, the main research area is aerosol cigarette heat stick nicotine.

Aerosol constituent yields have been reported from a wide range of electronic nicotine delivery systems. No comprehensive study has been published on the aerosol constituents generated from the JUUL system. Targeted analyses of 53 aerosol constituents from the four JUUL products currently on the US market (Virginia Tobacco and Menthol flavored e-liquids in both 5.0% and 3.0% nicotine concentration by weight) was performed using non-intense and intense puffing regimens. All measurements were conducted by an ISO 17025 accredited contract research organization. JUUL product aerosol constituents were compared to published values for the 3R4F research cigarette and IQOS Regular and Menthol heated tobacco products. Across the four JUUL products and two puffing regimes, only 10/53 analytes were quantifiable, including only two carbonyls (known propylene glycol or glycerol degradants). The remaining analytes were primary ingredients, nicotine degradants and water. Average analyte reductions (excluding primary ingredients and water) for all four JUUL system aerosols tested were greater than 98% lower than 3R4F mainstream smoke, and greater than 88% lower than IQOS aerosol. In summary, chem. characterization and evaluation of JUUL product aerosols demonstrates a significant reduction in toxicants when compared to mainstream cigarette smoke from 3R4F reference cigarettes or aerosols from IQOS-heated tobacco products.

Separations published new progress about Aerosols. 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

Oh, Ki-Kwang published the artcileRevealing Potential Bioactive Compounds and Mechanisms of Lithospermum erythrorhizon against COVID-19 via Network Pharmacology Study, Application In Synthesis of 110-42-9, the main research area is bioactive compound Lithospermum anticoronavirus COVID19; COVID-19; Lithospermum erythrorhizon; MAPK signaling pathway; RELA; TNF; VEGFA; eugenol; methyl 4-prenyloxycinnamate; tormentic acid.

Lithospermum erythrorhizon (LE) is known in Korean traditional medicine for its potent therapeutic effect and antiviral activity. Currently, coronavirus (COVID-19) disease is a developing global pandemic that can cause pneumonia. A precise study of the infection and mol. pathway of COVID-19 is therefore obviously important. The compounds of LE were identified from the Natural Product Activity and Species Source (NPASS) database and screened by SwissADME. The targets interacted with the compounds and were selected using the Similarity Ensemble Approach (SEA) and Swiss Target Prediction (STP) methods. PubChem was used to classify targets linked to COVID-19. The protein-protein interaction (PPI) networks and signaling pathways-targets-bioactive compounds (STB) networks were constructed by RPackage. Lastly, we performed the mol. docking test (MDT) to verify the binding affinity between significant complexes through AutoDock 1.5.6. The Natural Product Activity and Species Source (NPASS) revealed a total of 82 compounds from LE, which interacted with 1262 targets (SEA and STP), and 249 overlapping targets were identified. The 19 final overlapping targets from the 249 targets and 356 COVID-19 targets were ultimately selected. A bubble chart exhibited that inhibition of the MAPK signaling pathway could be a key mechanism of LE on COVID-19. The three key targets (RELA, TNF, and VEGFA) directly related to the MAPK signaling pathway, and Me 4-prenyloxycinnamate, tormentic acid, and eugenol were related to each target and had the most stable binding affinity. The three bioactive effects on the three key targets might be synergistic effects to alleviate symptoms of COVID-19 infection. Overall, this study shows that LE can play a role in alleviating COVID-19 symptoms, revealing that the three components (bioactive compounds, targets, and mechanism) are the most significant elements of LE against COVID-19. However, the promising mechanism of LE on COVID-19 is only predicted on the basis of mining data; the efficacy of the chem. compounds and the affinity between compounds and the targets in experiment was ignored, which should be further substantiated through clin. trials.

Current Issues in Molecular Biology published new progress about Affinity. 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

Le Roy, Sarah published the artcileComparative Investigation of Conventional and Innovative Headspace Extraction Methods to Explore the Volatile Content of Human Milk, Quality Control of 110-42-9, the main research area is human milk innovative headspace extraction dynamic volatile content; dynamic headspace analysis; headspace extraction; human milk; neonate; olfaction; solid phase micro-extraction; volatilome.

The odor of human milk induces search-like movements and oral activation in newborns, which increases their chances of taking advantage of milk intake and benefits. However, the underlying volatile fraction of human milk remains understudied. This study aimed to devise a simple method to extract a wide range of volatile compounds from small-volume human milk samples. Headspace solid phase micro-extraction (HS-SPME) with a Car/PDMS fiber and dynamic headspace extraction (D-HS) with a Tenax or a trilayer sorbent were tested because of their selective affinity for volatiles. Then, innovative variations of these methods were developed to combine their resp. advantages in a one-step extraction: Static headspace with multiple SPME fibers (S-HS-MultiSPME), Dynamic headspace with multiple SPME fibers (D-HS-MultiSPME) and dynamic headspace with multiple SPME fibers and Tenax (D-HS-MultiSPME/Tenax). The extracts were analyzed by gas chromatog. coupled with mass spectrometric and flame ionization detection. The relative performances of these methods were compared based on qual. and semi-quant. analyses of the chromatograms. The D-HS technique showed good sensitivity for most compounds, whereas HS-SPME favored the extraction of acids. The D-HS-MultiSPME/Tenax identified more than 60 compounds from human milk (some for the first time) and evidence of individual singularities. This method that can be applied to volatilome anal. of any biol. fluid should further our understanding of human milk odor.

Molecules published new progress about Affinity. 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

Lopes, Ana Claudia Alencar published the artcileImpact of Saccharomyces cerevisiae single inoculum and mixed inoculum with Meyerozyma caribbica on the quality of mead, Recommanded Product: Ethyl nonanoate, the main research area is Meyerozyma Saccharomyces single inoculum mead quality.

The sensory quality of fermented beverages, such as mead, is directly related to the raw material, microorganisms, and production process. The aim of this study was to evaluate the impact of Saccharomyces cerevisiae as single inoculum and co-inoculated with Meyerozyma caribbica on the physicochem. and sensory quality of mead. The meads were characterized according to their sugar, ethanol, furfural, hydroxymethylfurfural, Et carbamate, phenolics, volatile compounds, and sensory profile. Both starter cultures showed good fermentative capacity, resulting in beverages with 12% (w/v) alc. content. 4-Methylumbelliferone and gallic acid were the most abundant phenolic compounds detected in both beverages. Et carbamate was not detected; furfural detected below the quantification limit and 5-hydroxymethylfurfural was not higher than 0.3 mg/L. In general, unlike expected, the mixed inoculum resulted in a reduction of the volatile compounds The mead produced with S. cerevisiae presented 1403.3 μg/L of esters and while mixed inoculum, 1084 μg/L. This result impacted the sensory anal., in which the scores for flavor, aroma, and purchase intention were slightly higher for the mead produced with S. cerevisiae, although there was no statistical difference from the mixed inoculum. The results of this work indicate that further studies, such as on the adequacy of the must composition, are necessary for a better understanding of the potential of the used mixed inoculum.

European Food Research and Technology published new progress about Alcohols. 123-29-5 belongs to class esters-buliding-blocks, name is Ethyl nonanoate, and the molecular formula is C11H22O2, Recommanded Product: Ethyl nonanoate.

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

Karabagias, Ioannis K. published the artcilePhysico-chemical parameters complemented with aroma compounds fired up the varietal discrimination of wine using statistics, Computed Properties of 106-32-1, the main research area is wine elec conductivity phenolic compound salinity.

Wine comprises a beloved food and human companion since the early times of humans on earth. In this study, wine samples of different type (red, white, and rose) and variety (Agiorgitiko, Augoustiatis, Cabernet Sauvignon, Syrah, Vlahiko, Assyrtiko, Chardonnay, Debina, Moschofilero, Vidiano, Syrah plus Mandilari, and Xinomavro) were subjected to physico-chem. and aroma compounds analyses, in an effort to characterize their identity and discriminate these samples according to variety using statistics. Results showed significant differences (p < 0.05) for wine samples of different variety in regard to the measured physico-chem. parameters (pH, elec. conductivity, total dissolved solids, salinity, L*, a*, b*, and Chroma*) and aroma compounds (alcs., esters, phenolic compounds, pyran compounds, and terpenoids/norisoprenoids). Application of multivariate anal. of variance, linear discriminant anal., and weighted least-squares regression anal. fired up the perfect varietal discrimination (100%) of wine samples and modeling of results, contributing to new information in the literature about the identity of these wine varieties. European Food Research and Technology published new progress about Alcohols. 106-32-1 belongs to class esters-buliding-blocks, name is Ethyl octanoate, and the molecular formula is C10H20O2, Computed Properties of 106-32-1.

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

Li, Xinran published the artcileIdentification of changes in volatile compounds in sea cucumber Apostichopus japonicus during seasonings soaking using HS-GC-IMS, Formula: C9H10O2, the main research area is volatile compound Apostichopus japonicus gas chromatog ion mobility spectrometry.

The flavor fingerprint of sea cucumbers was developed and volatile compounds were investigated by HS-GC-IMS. A total of 73 typical target compounds were identified. The differences of flavor compounds in sea cucumbers from different seasonings soaking samples areas were observed After soaking, the concentration of compounds such as 1-octen-3-one and 3-methyl-2-butanol in sea cucumbers were decreased, while the concentration of representative flavor compounds in seasonings such as β-ocimene, linalool and furaneol were increased. Subsequently, PCA was performed based on the signal intensity of the identified flavor compounds, and the results clearly showed that the sea cucumbers without seasonings group and seasonings-soaked sea cucumbers samples in a relatively independent space would be well distinguished. The results showed that the flavor fingerprint of sea cucumbers was established by HS-GC-IMS and PCA based on the identified volatile compounds

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

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

Guo, Ziwei published the artcileHighly selective conversion of natural oil to alcohols or alkanes over a Pd stabilized CuZnAl catalyst under mild conditions, Recommanded Product: Methyl decanoate, the main research area is conversion natural oil alc alkanes production.

A novel and green catalytic system based on a Pd stabilized CuZnAl catalyst was designed for one-pot conversion of natural oil components to the corresponding alcs. or long-chain linear and branched alkanes with high selectivity and atom economy. When Me decanoate was used as the model compound, a nearly full yield of n-decanol was obtained at 200 °C and 2 MPa H2 within 8 h. 100% Decane was produced when acidic HZSM-5 was introduced under the same reaction conditions, and the selectivity of n-decane and i-decane could be tuned by temperature Cu species were verified as the active sites for lipid conversion, while a small amount of Pd could stabilize the catalyst to avoid Cu leaching. The reaction pathway involved hydrogenation, where Me decanoate can be equivalently converted to methanol and decanol or decane, and no extra CO2 or CO from decarboxylation or decarbonylation was detected. This system increases the sustainability and economy of natural oil conversion to valuable liquid fuel and chems.

Green Chemistry published new progress about Chemicals. 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

Vannoni, Lorenzo published the artcileDisclosing the chemistry of oil curing by mass spectrometry using methyl linoleate as a model binder, Application In Synthesis of 111-11-5, the main research area is mass spectrometry methyl linoleate model binder oil curing.

The structure of the polymeric fraction in an oil painting is believed to be strongly connected to the stability of the paint layers over time, but its mol. characterization is extremely difficult given the complex composition of a vegetable oil-based polymer. In this study we report the implementation of a methodol. approach for the systematic mass spectrometric investigation of the mol. features of the products of oxidative degradation and crosslinking of oil paint layers upon curing. The approach is based on the use of Me linoleate as a simplified model of an oil paint binder. Gas-chromatog. coupled with mass spectrometry, solid phase microextraction gas chromatog. mass spectrometry, flow injection electrospray mass spectrometry and evolved gas anal. mass spectrometry, are used to analyze the evolution of compounds produced over seven months of natural ageing, from the volatile products to the macromol. and cross-linked fractions. The aim is to improve our fundamental mol. understanding of the curing process of oil paints, and to investigate the balance between oxidative degradation and crosslinking when specific binder-pigment combinations are in place. Model paint layers were prepared using lead white and ultramarine blue as pigments. These two pigments are known to produce paint layers with different stability over time. The use of Me linoleate as model oil binder greatly simplifies the mass spectral features of the lipid paint fraction, enabling the detection of products of oxidation and crosslinking with a new high level of mol. detail. Data clearly show that crucial differences between paints containing the two pigments establish with time, which are mostly related to the cross-linked fraction.

Microchemical Journal published new progress about Chemistry. 111-11-5 belongs to class esters-buliding-blocks, name is Methyl octanoate, and the molecular formula is C9H18O2, Application In Synthesis of 111-11-5.

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

Trinklein, Timothy J. published the artcileDetermination of the signal-to-noise ratio enhancement in comprehensive three-dimensional gas chromatography, HPLC of Formula: 110-42-9, the main research area is signal noise ratio enhancement three dimensional gas chromatog.

We investigate the extent to which comprehensive three-dimensional gas chromatog. (GC3) provides a signal enhancement (SE) and a signal-to-noise ratio enhancement (S/NRel) relative to one-dimensional (1D)-GC. Specifically, the SE is defined as the ratio of the tallest 3D peak height from the GC3 separation to the 1D peak height from the unmodulated 1D-GC separation A model is proposed which allows the analyst to predict the theor. attainable SE (SET) based upon the peak width and sampling d. inputs. The model is validated via comparison of the SET to the exptl. measured SE (SEM) obtained using total-transfer GC3 (100% duty cycle for both modulators) with time-of-flight mass spectrometry detection. Two exptl. conditions were studied using the same GC3 column set, differing principally in the modulation period from the 1D to 2D columns: 4 s vs. 8 s. Under the first set of conditions, the average SEM was 97 (±22), in excellent agreement with the SET of 97 (±18). The second set of conditions improved the average SEM to 181 (±27), also in agreement with the average SET of 176 (±26). The average S/NRel following correction for the mass spectrum acquisition frequency was 38.8 (±11.2) and 59.0 (±27.2) for the two sets of conditions. The enhancement in S/N is largely attributed to moving the signal to a higher frequency domain where the impact of “”low frequency”” noise is less detrimental. The findings here provide strong evidence that GC3 separations can provide enhanced detectability relative to 1D-GC and comprehensive two-dimensional gas chromatog. (GCxGC) separations

Analytical Chemistry (Washington, DC, United States) published new progress about Cryostats. 110-42-9 belongs to class esters-buliding-blocks, name is Methyl decanoate, and the molecular formula is C11H22O2, HPLC of Formula: 110-42-9.

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