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19 results for “Oils Volatile”
The data sheet of "Phytochemicals, Proximate Composition, Minerals and Volatile Oil Analysis of Zanthoxylum acanthopodium DC. Fruits"
<p>The dataset of ‘Phytochemicals, Proximate Composition, Minerals and Volatile Oil Analysis of <em>Zanthoxylum acanthopodium</em> DC. Fruits’</p>
Quantification of volatile organic compound emissions from unconventional oil and gas development
<p>Oil and gas (O&G) development in the U.S. has accelerated in the past two decades, aided by unconventional extraction techniques including hydraulic fracturing and horizontal drilling. Potential environmental and health impacts of volatile organic compounds (VOCs) originating from O&G activities in populated regions have raised concerns. In Broomfield, Colorado, six new O&G well pads were approved for development in 2017 and an air monitoring program was established in October 2018 to collect weekly and plume-triggered air samples. This study addresses the limited existing knowledge of activity-specific VOC emission rates from unconventional O&G development (UOGD), utilizing these observations and dispersion model simulations through emission inversion methods. Emissions are characterized from well drilling, hydraulic fracturing, coiled tubing/millout, flowback, and production operations.</p> <p>Substantial variations in average VOC emission rates, determined using weekly canister observations, are observed across different UOGD phases. Drilling and coiled tubing/millout operations exhibit the highest VOC emission rates, attributed to hydrocarbon release from shale formations and drilling mud. In contrast, hydraulic fracturing gives lower emission rates, consistent with injection of fluids into the well, minimizing the probability of subsurface hydrocarbon emissions. Diesel-powered engines are identified as the primary ethyne sources during hydraulic fracturing. Production was characterized by lower VOC emission rates than pre-production phases but remains an important emission category due to its long duration (decades). Internal variations of emission rates within each phase highlight the complexity of factors and activities influencing emission rates, including, for example, vertical vs. horizontal drilling and periodic maintenance activities. VOC emission rates associated with drilling mud volatilization and hydraulic fracturing suggest that previously published emission estimates (EPA (2022), and Hecobian et al. (2019)) underestimate VOC emission rates during these activities. Significantly lower emission rates during flowback compared to previous work (Hecobian et al., 2019) reveal how improved management practices, including tankless, closed-loop fluid handling systems have effectively reduced what used to be a dominant source of pre-production VOC emissions. Plume-triggered samples, capturing transient high-concentration plumes, reveal short-term VOC emission rates approximately ten times higher for drilling and flowback than determined from weekly samples. In the case of flowback, short-term emission pulses have been linked to periodic emptying of sand canisters used to trap fracking sand emerging from previously fracked wells.</p>
Quantification of volatile organic compound emissions from unconventional oil and gas development
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Fig. 1 in Volatile constituents of Eupatorieae (Asteraceae). Compositional multivariate analysis of volatile oils from Southern Brazilian species in the subtribe Disynaphiinae
Fig. 1. Samplings for the study series showing subtribes of Eupatorieae with relative sizes (in number of species) both inside and outside the Rio Grande do Sul State territory. Fleishmanninae, Hebeclininae, Hofmeisterinae, Liatrinae, Neomirandeinae, Oaxacaninae, and Trichocoroniinae have no representatives in the area. For other subtribes, the number of species in the area and its proportion to the total number in the subtribe is represented in light green. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Volatile constituents of Eupatorieae (Asteraceae). Compositional multivariate analysis of volatile oils from Southern Brazilian species in the subtribe Disynaphiinae
Fig. 5. Compositional PCA of the chemical composition of VO of species from the subtribe Disynaphiinae (according to Rivera et al., 2016) sampled in Rio Grande do Sul, Southern Brazil. S. itatiayensis was transferred to an uncertain place, Grazielia was transferred to Neocabreria and Campovassouria was merged into Disynaphia. Samples were colored according to the newly proposed genera. Ten variables contributing the most to variability are depicted. Upper Left: PC1 and PC2; Upper Right: PC2 and PC3. The exclusion of S. itatiayensis from Symphyopappus is well-supported by the chemical data. Samples from R. tremula (green spheres in top-left (bottom panel), have a very similar chemistry to S. itatiayensis (yellow cube). Two samples of R. crenulata from the same area previously published by our group were included in the analysis (de Souza et al., 2007). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in Volatile constituents of Eupatorieae (Asteraceae). Compositional multivariate analysis of volatile oils from Southern Brazilian species in the subtribe Disynaphiinae
Fig. 4. Compositional robust PCA of the chemical composition of VO of species from the subtribe Disynaphiinae (according to Rivera et al., 2016) sampled in Rio Grande do Sul, Southern Brazil. S. itatiayensis was transferred to an uncertain place while Grazielia was transferred to Neocabreria. Samples are identified by species and colored according to the newly proposed genera. PC1 and PC2. Two samples of R. crenulata from the same area previously published by our group were included in the analysis (de Souza et al., 2007).
Fig. 3 in Volatile constituents of Eupatorieae (Asteraceae). Compositional multivariate analysis of volatile oils from Southern Brazilian species in the subtribe Disynaphiinae
Fig. 3. Compositional PCA of the chemical composition of VO of species from the subtribe Disynaphiinae (King and Robinson, 1987) sampled in Rio Grande do Sul, Southern Brazil. Samples are colored according to genera. Ten variables contributing the most to variability are depicted. Top: PC2 and PC3; Bottom: PC2, PC3, and PC4 with Mahalanobis distances (Aconthostyles buniifolius was excluded for clarity). Two samples of R. crenulata from the same area previously published by our group were included in the analysis (de Souza et al., 2007).
Fig. 2 in Volatile constituents of Eupatorieae (Asteraceae). Compositional multivariate analysis of volatile oils from Southern Brazilian species in the subtribe Disynaphiinae
Fig. 2. The number of genera and species recognized in the subtribe Disynaphiinae is given in white, while the number of genera and species reported in the area as well as the number of sampled species is given in black. The number of species in the genus, species in the sampled area, and sampled species are given in gray alongside each genus.
Fig. 6 in Volatile constituents of Eupatorieae (Asteraceae). Compositional multivariate analysis of volatile oils from Southern Brazilian species in the subtribe Disynaphiinae
Fig. 6. Compositional robust PCA of the chemical composition of VO of species from the subtribe Disynaphiinae (according to Rivera et al., 2016) sampled in Rio Grande do Sul, Southern Brazil. Samples are identified at the species level and colored according to the newly proposed genera. Neocabreria serrulata (Critoniinae) and Urolepis hecatantha (Gyptidinae) are included after transference from their respective subtribes. Top panel: Grazielia was merged into Neocabreria. Bottom panel: Neocabreria and Grazielia were merged into Symphyopappus (excluding S. itatiayensis). Two samples of R. crenulata from the same area previously published by our group were included in the analysis (de Souza et al., 2007).
Fig. 2 in Volatile phenolics: A comprehensive review of the anti-infective properties of an important class of essential oil constituents
Fig. 2. World map showing the publications of the different countries involved in scholarly publication of the anti-infective properties of volatile phenolics (1985–2019) as retrieved from the Scopus database.
Fig. 1 in Volatile phenolics: A comprehensive review of the anti-infective properties of an important class of essential oil constituents
Fig. 1. The number of publications retrieved from Scopus database in 35 years dealing with anti-infective properties of VP's (n = 2310 publications).
Data from: Comparative chemical analysis of volatile compounds of Echinops ilicifolius using hydrodistillation and headspace solid-phase microextraction and the antibacterial activities of its essential oil
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Phytochemicals, Proximate Composition, Minerals and Volatile Oil Analysis of Zanthoxylum acanthopodium DC. Fruits
<p>The dataset of ‘Phytochemicals, Proximate Composition, Minerals and Volatile Oil Analysis of <em>Zanthoxylum acanthopodium</em> DC. Fruits’</p>
Fig. 5 in Volatile phenolics: A comprehensive review of the anti-infective properties of an important class of essential oil constituents
Fig. 5. Mechanism of antifungal action of volatile phenolics.
Fig. 4 in Volatile phenolics: A comprehensive review of the anti-infective properties of an important class of essential oil constituents
Fig. 4. Mechanism of antibacterial action of volatile phenolics.
Fig. 3 in Volatile phenolics: A comprehensive review of the anti-infective properties of an important class of essential oil constituents
Fig. 3. Term map generated from all keyword fields on the anti-infective of volatile phenolics.
Study on the Antidepressant Effects and Mechanism of Action of Cang-ai Volatile Oil Based on Near-Infrared Functional Brain Imaging and the NT-Trk Signalling Pathway
ClinicalTrials.gov study NCT07384312. IPD Sharing: NO. Countries: 1. Publications: 0.
Clinical Study of Cang Ai Volatile Oil (CAVO) on Mild to Moderate Depression in Children and Adolescents
ClinicalTrials.gov study NCT05789186. IPD Sharing: NO. Countries: 1. Publications: 0.
A Clinical Study on the Effects of Inhalation of Volatile Oil of Cang-Ai Via the Nose on Patients With Depression
ClinicalTrials.gov study NCT05251779. IPD Sharing: YES. Countries: 0. Publications: 0.
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OpenNeuro
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