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Volatile Organic Compounds

Volatile Organic Compounds (VOCs) are a class of organic chemicals that have a high vapor pressure and low boility point, allowing them to easilly evaporate into the air.
These compounds are commonly found in a variety of household and industrial products, and can have adverse health effects with prolonged exposure.
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Most cited protocols related to «Volatile Organic Compounds»

For deployed wristbands used in the partitioning study, wristbands were cleaned with two sequential rinses of 18 MΩ·cm water and one isopropanol rinse to remove superficial fouling or particles. To illustrate the effectiveness of this cleaning process, microscopic images were obtained (Supplementary Figure S1). After deployment, cleaned wristbands were stored in amber glass jars at −20 °C until extraction.
SVOCs were recovered from wristbands with two 100 ml rounds of ethyl acetate extraction at ambient temperature as previously described.33 (link) The ethyl acetate was combined and reduced to nominally 1 ml with nitrogen evaporators (Turbo-Vap L, Biotage, Charlotte, NC, USA and N-EVAP 111, Organomation Associates, Berlin, MA, USA). For VOC analyses, wristbands were thermally extracted directly as described below in ‘Volatile organic chemicals (VOCs)’ section.
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Publication 2017
Amber ethyl acetate Isopropyl Alcohol Microscopy Nitrogen Volatile Organic Compounds
Environmental factors are manifold and complicated. In order to evaluate exposure to a wide range of environmental factors, the following four approaches are employed:
1. Questionnaires
A part of each questionnaire is designated to collect information about chemical exposure, e.g. the use of organic solvents, kerosene, pesticides, disinfectants, heavy metals, antineoplastic drugs, narcotics, paints, hair dyes, and printer inks. Exposure to noise, vibration, high/low temperature, and dusts is also asked in the questionnaires.
2. Chemical analysis of bio-specimens
Chemical substances or their metabolites are measured in peripheral blood, cord blood, breast milk, urine, and hair. Target compounds are shown in Table 1.
3. Environmental measurements
In the same sub-cohort as the one described above, indoor air pollutants, including volatile organic compounds (VOCs), aldehydes, nitrogen oxides, and fine particulate matters (PM2.5), will be measured during home visits. Noise levels and other physical parameters such as temperature and humidity will also be assessed.
4. Atmospheric simulation from ambient air quality monitoring
There are about 1,500 ambient air quality monitoring stations and about 500 roadside air quality monitoring stations across Japan, where levels of the five classical air pollutants, i.e., carbon monoxide (CO), suspended particulate matter (SPM), sulfur dioxide (SO2), nitrogen dioxide (NO2), and photochemical oxidants are monitored continuously. Twenty other hazardous air pollutants are also monitored at over 300 sites. Exposure to classical and hazardous air pollutants will be estimated from the monitoring station data using atmospheric simulation models.
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Publication 2014
Air Pollutants Aldehydes Antineoplastic Agents BLOOD Environmental Exposure Fever Hair Hair Dyes Humidity Kerosene Metals, Heavy Milk, Human Monoxide, Carbon Narcotics Nitrogen Dioxide Nitrogen Oxides Oxidants, Photochemical Pesticides Physical Examination Solvents Umbilical Cord Blood Urine Vibration Visit, Home Volatile Organic Compounds
Comprehensive data including biomedical, environmental, psychosocial, demographic, physical and mental health of the mother, father and child and intercurrent morbidity are collected. Specimens (blood, urine, stool, respiratory) are longitudinally taken (figure 1). Urine cotinine, to investigate tobacco smoke exposure, is longitudinally measured. Monitors measuring nitrogen dioxide, sulfur dioxide, carbon monoxide, volatile organic compounds and particulate matter (PM10) exposure over 24 h to 2 weeks are placed in homes; electrostatic dust collectors collect household dust over 2 weeks.
Infant lung function, undertaken for the first time in an African setting, is measured at 6 weeks and annually at Paarl hospital. State-of-the-art measurements in unsedated children during sleep include tidal breathing, exhaled nitric oxide, forced oscillation technique and sulfur hexafluoride multiple breath washout. Lung function is also measured during a LRTI and 4–6 weeks thereafter. Chronic respiratory disease measurements include symptoms, clinical data, lung function and chest X-ray and ultrasound (during an LRTI).
Child neurodevelopmental outcomes are assessed longitudinally with a subsample of infants undergoing brain MRI.
All children have six monthly nasopharyngeal swabs (NPs) and stool specimens collected, while a subset intensive cohort have two weekly NPs and monthly stool samples in the first year. These specimens will enable longitudinal delineation of the child's nasopharyngeal and stool microbiome using targeted (bacterial culture, multiplex real-time PCR for viral and bacterial pathogens) and non-targeted approaches (16srRNA gene sequencing). A similar approach is used for detailed investigation of LRTI aetiology on NP and induced sputum specimens. The maternal microbiome (stool, vaginal, skin, breast milk, NPs) is also studied perinatally (figure 1). The predictive value of the child's microbiome for development of LRTI or chronic respiratory illness is a key area of study.
Specimens from mothers, fathers, children and the environment are processed in a central research laboratory and stored at −80°C, creating a large biobank for future studies.
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Publication 2014
Bacteria Blood Brain Child Cotinine Disease, Chronic Electrostatics Fathers Feces Genes Households Infant Mental Health Microbiome Milk Monoxide, Carbon Mothers Nasopharynx Negroid Races Nicotiana tabacum Nitrogen Dioxide Oxide, Nitric pathogenesis Physical Examination Radiography, Thoracic Real-Time Polymerase Chain Reaction Respiration Disorders Respiratory Physiology Respiratory Rate Skin Sleep Smoke Sputum, Induced Sulfur Dioxide Sulfur Hexafluoride Ultrasonography Urine Vagina Volatile Organic Compounds

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Publication 2020
COVID 19 Culture Media Environmental Pollutants Environmental Pollution Impacts, Environmental Monoxide, Carbon Nitrogen Dioxide Volatile Organic Compounds
The air pollution to which individuals are exposed is multifaceted; there are no standardized approaches to characterize specific pollutant mixtures, which typically include hundreds of individual gaseous compounds and particles of complex physicochemical composition. Accordingly, indicator pollutants are often used to assess exposures for risk assessment and epidemiologic analysis. For such mixtures, the relative importance of different pollutants is a function of location-specific economic, developmental, social, and technological factors combined with meteorology, topography, geography and atmospheric transformations. Literature and measurement databases exist for a limited number of selected gaseous pollutants (ozone [O3], nitrogen oxides [NOx ≈ NO+NO2], sulfur dioxide [SO2], carbon monoxide [CO]) and one or more measures of PM such as Total Suspended Particles (TSP), or the mass concentration of particles with aerodynamic diameter smaller than 10 (PM10) or 2.5 (PM2.5) micrometers.
An extensive epidemiological literature relates PM2.5 to adverse health impacts (8 (link)-10 (link)). In epidemiologic cohort studies of long term exposure (which form the basis of the exposure-response functions used in health impact assessment) PM2.5 is the most robust indicator of adverse (mortality) impacts (11 (link)). The epidemiologic observations of adverse health impacts associated with elevated ambient PM2.5 concentrations is supported by toxicological experiments, epidemiologic analyses of acute exposures and controlled exposure studies. In populated regions, a large fraction of PM2.5 originates from combustion processes and includes both primary PM (direct emissions) and secondary PM (resulting from atmospheric transformations).
Ozone represents a pollutant mixture that is somewhat different from that associated with PM. This gaseous pollutant is derived from a series of atmospheric photochemical reactions of primary air pollutants, including nitrogen oxides and volatile organic compounds (VOCs). The seasonal, spatial and temporal patterns of surface ozone concentrations are often distinct from those of PM, as are the relative importance of emissions source categories of ozone precursors. Epidemiologic associations have been observed between elevated ozone concentrations and premature mortality that are independent of associations between PM and mortality (12 (link)-15 (link)). There is also an extensive literature on adverse respiratory impacts resulting from ozone exposure in randomized controlled exposure studies (16 (link)). As such, estimates of the global burden of disease attributable to outdoor air pollution are further enhanced by the inclusion of ozone in addition to PM2.5. By including both metrics, the GBD analysis is also compatible with recent national and regional analyses of air pollution health and economic impacts (e.g. (17 )).
Publication 2012
Air Pollutants Air Pollution Environmental Pollutants Gases Health Impact Assessment Health Risk Assessment Monoxide, Carbon Nitrogen Oxides Ozone Respiratory Rate Volatile Organic Compounds

Most recents protocols related to «Volatile Organic Compounds»

To enable accurate chemical compound extractions, powders of the cheese samples were prepared. Therefore, cheese core and rind samples were frozen using liquid nitrogen (Air Liquide, Paris, France) and subsequently milled into a fine powder with a coffee grinder (De’Longhi KG49, Treviso, Italy). These cheese powders were subjected to two types of extractions. To assess organic acids, free amino acids, and biogenic amines, an aqueous extraction was performed, as described previously (Le Boucher et al., 2016 (link); Zhang et al., 2019 (link)). Briefly, 1.0 g of cheese powder was mixed with 9.0 mL of ultrapure water (Milli-Q; Merck) on a rotating wheel at 30 rpm for 30 min at room temperature, followed by centrifugation at 1,000 × g for 5 min. Extracts were stored at −25°C until further analysis. To assess volatile organic compounds, ethyl acetate extracts were prepared by mixing 0.5 g of cheese powder with 9.5 mL of ethyl acetate (SupraSolv® grade; Merck) and supplemented with 100 μg/L of toluene-D8 (Sigma-Aldrich) as internal standard (IS). Ethyl acetate extracts were filtered with a Millex Syringe Driven Filter Unit (Millex; Merck) and immediately used for further analysis.
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Publication 2023
Acids Amino Acids Biogenic Amines Centrifugation Cheese Coffee ethyl acetate Freezing Nitrogen Powder Syringes Toluene Volatile Organic Compounds
The concentrations of targeted volatile organic compounds present in ethyl acetate extracts were quantified with external standards by liquid injection gas chromatography with triple-quad tandem mass spectrometry (LI-GC-TQ-MS/MS), using a Trace 1,300 gas chromatograph equipped with a Dbwax-etr column (Thermo Fisher Scientific) and coupled to a TSQ 8000 EVO triple quadrupole mass spectrometer (Interscience, Breda, Netherlands), as described previously (Díaz-Muñoz et al., 2021 (link)).
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Publication 2023
Chromatography, Gas-Liquid-Mass Spectrometry ethyl acetate Gas Chromatography Tandem Mass Spectrometry Volatile Organic Compounds
As shown in figure 1, to establish a baseline for analysis we first modeled demand for cooling energy in Ahmedabad in 2018 and the sources of energy supply (thermal coal-fired power plants or renewable sources including solar and wind energy) utilized to meet current electricity needs (sections 2.24). We then estimated electricity and cooling demand in 2030, considering changing demand for cooling driven by population growth, economic development, and climate warming (section 2.5). Energy modeling then informed the level of air pollution generated from thermal coal plant electric power delivery to Ahmedabad in baseline 2018 and in 2030, under a BAU future and a combined mitigation (energy source) and adaptation (land cover) scenario (section 2.6).
Air pollution modeling subsequently distributed the stationary energy source-generated air pollution emissions across the modeling domain, along with other regional air pollution inputs (section 2.6.1). Regional chemical inputs were pollutant concentrations of PM2.5 (and its precursor gases: sulfur dioxide, nitrogen oxides, volatile organic compounds, and primary particulate matter composed of dust, black carbon, and organic carbon) analyzed in a city-level domain nested in broader domain boundaries (see supplemental information section 1.3.3). Finally, associated changes in air pollution-related premature mortality, under the combined M&A scenario, were evaluated and compared using a health impact assessment model that integrates population, pollution exposure, and baseline health data with air pollution exposure-risk functions (figure 1 and section 2.6.2).
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Publication 2023
Acclimatization Air Pollution Carbon Carbon Black Climate Coal Electricity Environmental Pollutants Gases Health Impact Assessment Nitrogen Oxides Obstetric Delivery Sulfur Dioxide Volatile Organic Compounds Wind
Initially, to demonstrate the selective reactivity of the sensing dyes in the presence of different volatiles, a series of tests were conducted with the following gases: water vapour, ethanol, acetic acid, and acetone. This experiment allowed us to determine potential interference due to water in our experiments, since it is ubiquitously present in all environments, and the changes in sensitivity of each dye towards different chemical functionalities. Moreover, the chosen organic volatiles (acetone, acetic acid, and ethanol) allowed us to study the impact of different functional groups on the response of the final devices. In each case, the sensing papers were subjected to 10 ppm of each gas inside a sealed pyrex borosilicate bottle, and the changes in colour were determined by a low-cost TCS34725 (Adafruit)-based spectrometer after 2 h.
After conducting this initial test using simple organic volatiles and water, the sensors were tested in the presence of trans-2-hexen-1-al, indole-3-acetic acid (auxin), and tryptophol. These molecules are involved in the growth and stress response of plants. In particular, trans-2-hexen-1-al is a volatile organic compound (VOC) emitted by wounded or stressed plants, indole-3-acetic acid is the most common naturally occurring phytohormone of the auxin class, and tryptophol is a quorum sensing molecule (QSM) found during fungal infections. We tested the sensitivity of the dyes in the presence of 10 ppm of each gas separately. The exact values were calculated using the following formula (1): c=22.4×p×d×V1M×V2
where c denotes concentration in ppm, p denotes purity, d denotes density in g/mL, V1 denotes the volume injected in µL, M denotes molecular weight, and V2 denotes the volume in the bottle in L. The colorimetric sensor arrays were left in sealed 1 L glass bottles for about 2 h to react with the gases. Color changes in the drop-casted dyes were then determined. A simple and low-cost RGB colour sensor (Adafruit TCS34725) was used, connected to an Arduino board for data collection. This sensor component also had an in-built white LED next to its RGB sensor. The TCS34725 contained a 3 × 4 photodiode array, consisting of red-filtered, green-filtered, blue-filtered, and clear (unfiltered) photodiodes. This RGB sensor quantifies the level of reflected light from the white LED source and measures the following wavelengths: 465 nm (blue), 525 nm (green), and 615 nm (red).
Connections to the colour sensor were soldered to allow for stable electrical contacts and to hold the components firmly in place. During the measurement, a paper sensor was placed onto the colour sensor, so that the LED of the colour sensor evenly illuminated the sample. RGB values for each coloured spot on the filter paper were recorded. The measurements were recorded using the microcontroller Wio Terminal, which could potentially be used to automate the whole data extraction and calculation process.
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Publication 2023
Acetic Acid Acetone Auxins Colorimetry Dyes Electricity Ethanol Gases Hypersensitivity indoleacetic acid Light Medical Devices Mycoses physiology Plant Growth Regulators Plants tryptophol Volatile Organic Compounds Water Vapor
The effect of Purolite® A502PS IEX on the removal of dissolved organics (DOC) and the organic micro-pollutants was studied using an MF–IEX hybrid system (Figure 1). A hollow fibre MF membrane was submerged in the reactor tank containing 3 L of ROC. The flow of influent (ROC) and effluent (treated water) was controlled using two master flux peristaltic pumps. The TMP of the membrane filtration was measured using a pressure gauge. Different doses of Purolite® A502PS (5 g/L, 10 g/L; 20 g/L) were added to the reactor tank. The flux of influent and effluent was 36 L/m2·h which maintained a constant water level in the reactor. The reactor tank was fed with continuous air flow at 1.5 m3/m2 membrane area h (pre-determined) to keep the Purolite® A502PS particles in suspension to enhance the removal of contaminants. The hybrid system was found to be effective for two reasons. First, because the prior removal of organics/other charged compounds before they reach the membrane surface reduced fouling/scaling effects on the membrane surface, and second, because the airflow produces shear stress across the membrane surface, and its scouring effect further reduces the deposition of organics and reduces fouling [25 (link),26 (link)].
The loss of volatile organic compounds (VOCs) due to aeration was neglected as the wastewater used in this study was previously biologically treated and stabilized. The primary purpose of hollow fibre MF was to remove tiny purolite particles, if any, from treated water. The TMP of the MF–IEX hybrid system was measured using a pressure gauge (Novus log box).
The MF membrane alone can remove less than 10% of the DOC from the wastewater due to the larger pore size, which is not small enough to retain organic molecules [26 (link)]. Purolite®A502PS was added to enhance the removal of organics from the ROC in the MF–IEX hybrid system. The authors’ previous study [19 (link)], reported that 1 g/L of Purolite® A502PS was optimum in removing organics from RO feed using pre-adsorption of organics. Since ROC is ~5 times more concentrated than RO feed, a 5-fold increase in Purolite® A502PS dosage (5 g/L) was used in MF–IEX hybrid system to achieve optimum organic removal. Further, higher doses (10–20 g/L), were also trialled to enhance the removal of micro-pollutants so as to overcome the competitive effect of the organics for Purolite® A502PS exchange sites.
In addition, the authors have performed a similar short-term experiment with GAC at varying dosages of 5 g/L, 10 g/L, and 20 g/L using the ROC as the feed for the same experimental conditions. The respective DOC removals were observed to be 20–50%, 60–80%, and 70–90% over 4 h of operation [26 (link)]. Though GAC was found to reduce the organic load in several studies, it also reduced the sites available for sorption and removal of other micro- or priority organic pollutants [27 (link)]. Further, the removal of humics with ion-exchange resin (Purolite) is excellent compared to GAC [3 (link)]. In this context, the performance of Purolite®A502PS in the MF–IEX hybrid system was studied for the removal of organic fractions and organic micro-pollutants at the dosage of 5 g/L, 10 g/L, and 20 g/L. The ion-exchange resin was added only at the start of the experiment and no further additions were made during the experimental run.
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Publication 2023
Adsorption Environmental Pollutants Fibrosis Filtration Hybrids Ion Exchange Resins Novus Peristalsis Pressure Tissue, Membrane Volatile Organic Compounds

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More about "Volatile Organic Compounds"

Volatile Organic Compounds (VOCs) are a class of carbon-based chemicals that have a high vapor pressure and low boiling point, allowing them to easily evaporate into the air.
These compounds, also known as volatile organics or VOCs, are commonly found in a variety of household and industrial products, such as paints, solvents, cleaners, and personal care items.
VOCs can have adverse health effects with prolonged exposure, including respiratory issues, headaches, and even long-term organ damage.
Understanding and accurately analyzing VOCs is crucial for maintaining indoor air quality, ensuring product safety, and protecting human health.
PubCompare.ai's AI-driven platform can help elevate your VOCs analysis by discovering the most reproducible and accurate protocols from published literature, preprints, and patents.
Their data-driven comparisons can identify the best methods and products, such as the HP-5MS column, Divinylbenzene/carboxen/polydimethylsiloxane fiber, and GCMS-QP2010 Ultra, to enhance your research and enable you to make informed decisions.
For example, the 4-methyl-2-pentanol compound is a common VOC that can be detected and analyzed using techniques like SPME (Solid Phase Microextraction) and GC-MS (Gas Chromatography-Mass Spectrometry) with instruments like the Clarus 680 and DB-FFAP column.
By leveraging PubCompare.ai's insights, you can optimize your VOCs analysis and ensure accurate, reproducible results.
Embrace the power of data-driven decision making and elevate your VOCs research with PubCompare.ai's AI-driven platform.
Experience the benefits of discovering the best protocols, methods, and products to enhance your understanding of these important chemical compounds.