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Ozone

Ozone is a colorless, odorless, and highly reactive gas that occurs naturally in the Earth's atmosphere.
It plays a crucial role in absorbing harmful ultraviolet radiation from the sun, protecting life on Earth.
Ozone can also be artificially produced and has numerous applications, including water and air purification, disinfection, and medical treatments.
Research on ozone and its effects is essential for understanding its environmental impact and developing effective ozone-related products and methodologies.
This MeSH term provides a concise overview of ozone and its importance, serving as a useful starting point for researchers exploring this critical component of the Earth's ecosytem.

Most cited protocols related to «Ozone»

To aid understanding the models we describe their application to a study of daily air ozone pollution in relation to counts of deaths from London from 2002–6, using data previously published
[3 (link)]. Primary confounder control is by stratifying time by month and day-of-week, a typical case crossover approach. A summary of the data is given in Table 
1. We illustrate each method discussed using these data, which are also provided with R and Stata code reproducing the results in Additional file
1 and Additional file
2.

Description of example daily data: London 2002-2006

VariableMeanMimimumMaximum
Date (YMD)2002.1.12006.12.31
Mean temperature11.7-1.428.2
Mean ozone34.818.3119.2
Number of deaths (all cause)149.599280
Strata: year X month X day-of-week2002.1.tues2006.12.sun
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Publication 2014
Air Pollution Ozone
We fit a two-pollutant Cox proportional-hazards model with a generalized estimating equation to account for the correlation between ZIP Codes.22 In this way, the risk of death from any cause associated with long-term exposure to PM2.5 was always adjusted for long-term exposure to ozone, and the risk of death from any cause associated with long-term exposure to ozone was always adjusted for long-term exposure to PM2.5, unless noted otherwise. We also conducted single-pollutant analyses for comparability. We allowed baseline mortality rates to differ according to sex, race, Medicaid eligibility, and 5-year categories of age at study entry. To adjust for potential confounding, we also obtained 15 ZIP-Code or county-level variables from various sources and a regional dummy variable to account for compositional differences in PM2.5 across the United States (Table 1, and Section 1 in the Supplementary Appendix). We conducted this same statistical analysis but restricted it to person-years with PM2.5 exposures lower than 12 μg per cubic meter and ozone exposures lower than 50 ppb (low-exposure analysis) (Table 1, and Section 1 in the Supplementary Appendix).
To identify populations at a higher or lower pollution-associated risk of death from any cause, we refit the same two-pollutant Cox model for some subgroups (e.g., male vs. female, white vs. black, and Medicaid eligible vs. Medicaid ineligible). To estimate the concentration-response function of air pollution and mortality, we fit a log-linear model with a thin-plate spline of both PM2.5 and ozone and controlled for all the individual and ecologic variables used in our main analysis model (Section 7 in the Supplementary Appendix). To examine the robustness of our results, we conducted sensitivity analyses and compared the extent to which estimates of risk changed with respect to differences in confounding adjustment and estimation approaches (Sections S2 through S4 in the Supplementary Appendix).
Data on some important individual-level co-variates were not available for the Medicare cohort, including data on smoking status, body-mass index (BMI), and income. We obtained data from the Medicare Current Beneficiary Survey (MCBS), a representative subsample of Medicare enrollees (133,964 records and 57,154 enrollees for the period 2000 through 2012), with individual-level data on smoking, BMI, income, and many other variables collected by means of telephone survey. Using MCBS data, we investigated how the lack of adjustment for these risk factors could have affected our calculated risk estimates in the Medicare cohort (Section 5 in the Supplementary Appendix). The computations in this article were run on the Odyssey cluster, which is supported by the FAS Division of Science, Research Computing Group, and on the Research Computing Environment, which is supported by the Institute for Quantitative Social Science in the Faculty of Arts and Sciences, both at Harvard University. We used R software, version 3.3.2 (R Project for Statistical Computing), and SAS software, version 9.4 (SAS Institute).
Publication 2017
Air Pollution Cuboid Bone Eligibility Determination Environmental Pollutants Faculty Females Hypersensitivity Index, Body Mass Males Ozone

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Publication 2012
Aerosols Age Groups Airborne Particulate Matter Asbestos Child Conferences Diarrhea Diet Disease, Chronic Extinction, Psychological Food Grid Cells Light Lung Cancer Malignant Neoplasms Malnutrition Mesothelioma Nicotiana tabacum Non-Smokers Occupational Exposure Ozone physiology Respiration Disorders Respiratory Rate Respiratory Tract Infections Serum Simulate composite resin Zinc
We estimated the association between short-term exposure to PM2.5 (adjusted by ozone) and short-term exposure to ozone (adjusted by PM2.5), and all-cause mortality using a case-crossover design.8 (link) Specifically, “case day” was defined as the date of death. For the same person, we compared daily air pollution exposure on the case day vs daily air pollution exposure on “control days.” Control days were chosen (1) on the same day of week as the case day to control for potential confounding effect by day of week; (2) before and after the case day (bidirectional sampling) to control for time trend;9 (link),10 (link) and (3) only in the same month as the case day to control for seasonal and sub-seasonal patterns.9 (link),11 (link) Individual-level covariates and zip code-level covariates that did not vary day-to-day (e.g., age, sex, race, socioeconomic status, smoking, and other behavioral risk factors) were not considered to be confounders as they remain constant when comparing case days vs control days.
Publication 2017
Air Pollution Ozone
Ozone data were obtained from 1977 (5 years before the identification of the CPS II cohort) through 2000 for all air-pollution monitors in the study metropolitan areas from the EPA’s Aerometric Information Retrieval System. Ozone data at each monitoring site were collected on an hourly basis, and the daily maximum value for the site was determined. All available daily maximum values for the monitoring site were averaged over each quarter year. The quarterly average values were reported for each monitor only when at least 75% of daily observations for that quarter were available.
The averages of the second (April through June) and third (July through September) quarters were calculated for each monitor if both quarterly averages were available. The period from April through September was selected because ozone concentrations tend to be elevated during the warmer seasons and because fewer data were available for the cooler seasons.
The average of the second and third quarterly averages for each year was then computed for all the monitors within each metropolitan area to form a single annual time series of air-pollution measurements for each metropolitan area for the period from 1977 to 2000. In addition, a summary measure of long-term exposure to ambient warm-season ozone was defined as the average of annual time-series measurements during the entire period from 1977 to 2000. Individual measures of exposure to ozone were then defined by assigning the average for the metropolitan area to each cohort member residing in that area.
Data on exposure to PM2.5 were also obtained from the Aerometric Information Retrieval System database for the 2-year period from 1999 to 2000 (data on PM2.5 were not available before 1999 for most metropolitan areas).5 (link) The average concentrations of PM2.5 were included in our analyses to distinguish the effect of particulates from that of ozone on outcomes.
Publication 2009
Air Pollution Ozone

Most recents protocols related to «Ozone»

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Example 1

InCl (1 eq.) was added to a Schlenk flask charged with LiCp(CH2)3NMe2 (11 mmol) in Et2O (50 mL). The reaction mixture was stirred overnight at room temperature. After filtration of the reaction mixture, the solvent was evaporated under reduced pressure to obtain a red oil. After distillation a yellow liquid final product was collected (mp˜5° C.). Various measurements were done to the final product. 1H NMR (C6D6, 400 MHz): δ 5.94 (t, 2H, Cp-H), 5.82 (t, 2H, Cp-H), 2.52 (t, 2H, N—CH2—), 2.21 (t, 2H, Cp-CH2—), 2.09 (s, 6H, N(CH3)2, 1.68 (q, 2H, C—CH2—C). Thermogravimetric (TG) measurement was carried out under the following measurement conditions: sample weight: 22.35 mg, atmosphere: N2 at 1 atm, and rate of temperature increase: 10.0° C./min. 97.2% of the compound mass had evaporated up to 250° C. (Residue <2.8%). T (50%)=208° C. Vacuum TG measurement was carried out under delivery conditions, under the following measurement conditions: sample weight: 5.46 mg, atmosphere: N2 at 20 mbar, and rate of temperature increase: 10.0° C./min. TG measurement was carried out under delivery conditions into the reactor (about 20 mbar). 50% of the sample mass is evaporated at 111° C.

Using In(Cp(CH2)3NMe2) synthesized in Example 1 as an indium precursor and H2O and O3 as reaction gases, indium oxide film may be formed on a substrate by ALD method under the following deposition conditions. First step, a cylinder filled with In(Cp(CH2)3NMe2) is heated to 90° C., bubbled with 100 sccm of N2 gas and the In(Cp(CH2)3NMe2) is introduced into a reaction chamber (pulse A). Next step, O3 generated by an ozone generator is supplied with 50 sccm of N2 gas and introduced into the reaction chamber (pulse B). Following each step, a 4 second purge step using 200 sccm of N2 as a purge gas was performed to the reaction chamber. 200 cycles were performed on a Si substrate having a substrate temperature of 150° C. in the reaction chamber at a pressure of about 1 torr. As a result, an indium oxide film will be obtained at approximately 150° C.

Example 2

Same procedure as Example 1 started from Li(CpPiPr2) was performed to synthesize In(CpPiPr2). An orange liquid was obtained. 1H NMR (C6D6, 400 MHz): δ 6.17 (t, 2H, Cp-H), 5.99 (t, 2H, Cp-H), 1.91 (sept, 2H, P—CH—), 1.20-1.00 (m, 12H, C—CH3).

Using In(CpPiPr2) synthesized in Example 2 as the indium precursor and H2O and O3 as the reaction gases, indium oxide film may be formed on a substrate by the ALD method under the following deposition conditions. First step, a cylinder filled with In(CpPiPr2) is heated to 90° C., bubbled with 100 sccm of N2 gas and the In(CpPiPr2) is introduced into a reaction chamber (pulse A). Next step, O3 generated by an ozone generator is supplied with 50 sccm of N2 gas and introduced into the reaction chamber (pulse B). Following each step, a 4 second purge step using 200 sccm of N2 as a purge gas was performed to the reaction chamber. 200 cycles were performed on the Si substrate having a substrate temperature of 150° C. in an ALD chamber at a pressure of about 1 torr. As a result, an indium oxide was obtained at 150° C.

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Patent 2024
1H NMR Atmosphere Distillation Fever Filtration Indium indium oxide Obstetric Delivery Ozone Pressure Pulse Rate Solvents Vacuum

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Publication 2023
Decontamination Digitorenocerebral Syndrome Gases Humidity Ozone PPM 18 Staphylococcus aureus

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Publication 2023
Clip Decontamination Gases myristoyl-L-methionine Ozone Staphylococcus aureus styrofoam

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Publication 2023
Decontamination Humidity Microbicides Ozone

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Publication 2023
Decontamination Gases myristoyl-L-methionine Ozone Staphylococcus aureus Ultrasonics

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More about "Ozone"

Ozone (O₃) is a highly reactive gas that plays a crucial role in the Earth's atmosphere.
This colorless, odorless substance is a key component of the ozone layer, which shields the planet from harmful ultraviolet (UV) radiation.
Ozone is naturally produced through a series of photochemical reactions involving oxygen molecules and UV light.
Beyond its atmospheric importance, ozone has numerous applications in various industries.
It is commonly used for water and air purification, disinfection, and even medical treatments.
Ozone's powerful oxidizing properties make it effective at eliminating contaminants, pathogens, and odors in water and air.
In the field of scientific research, ozone is a subject of great interest.
Researchers are constantly exploring its environmental impact, potential applications, and the development of ozone-related products and methodologies.
This research often involves the use of other chemical compounds and materials, such as Sylgard 184 (a silicone elastomer), Pluronic F-127 (a non-ionic surfactant), Fibronectin (an extracellular matrix protein), JEM-2100 (a transmission electron microscope), DMSO (dimethyl sulfoxide), Acetone, Sodium dodecyl sulfate, Methanol, Toluene, and Streptomycin (an antibiotic).
Understanding the properties, behavior, and applications of ozone is crucial for addressing environmental challenges, improving public health, and advancing scientific knowledge.
The insights gained from ozone research can lead to the development of innovative ozone-based technologies and the optimization of existing ozone-related products and methodologies.