The effects of ozone/limonene reactions on indoor secondary organic aerosols

Sarwar, Golam; Corsi, Richard L.

doi:10.1016/j.atmosenv.2006.09.032

Cited by 107 publications

(106 citation statements)

References 30 publications

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“…Consequently, it is necessary to have accurate methods for evaluating their levels, their evolution and their implication in reactional mechanisms. Indeed, previous studies [19][20][21][22] have demonstrated that monoterpenes reactivity with oxidative agents (O 3 , NO x , OH) leads to aldehyde and ketone formation.…”

Section: Discussionmentioning

confidence: 99%

“…Prolonged exposure could probably also explain other symptoms such as allergic and non-allergic contact dermatitis, chronic impairment of lung function and airway irritation [11][12][13][14][15][16][17][18]. Many other studies have dealt with the reactions of monoterpenes with oxidative agents such as O 3 , NO 2 and OH radical generating airborne particulate matter as well as secondary pollutants such as formaldehyde, acetaldehyde and acetone [19][20][21][22]. Preconcentration on solid adsorbents followed by thermal desorption and GC analysis has become a wellaccepted VOC analysis technique in a wide range of applications.…”

Section: Introductionmentioning

confidence: 99%

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Development and validation by accuracy profile of a method for the analysis of monoterpenes in indoor air by active sampling and thermal desorption-gas chromatography-mass spectrometry

Marlet

Lognay

2010

Talanta

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The technique of thermal desorption (TD)-GC/MS was evaluated for the measurement of monoterpenes in indoor air. The validation strategy was intentionally oriented towards routine use and the reliability of the method rather than extreme performance. For this reason, validation by accuracy profile was chosen. The accuracy profile procedure, which is based on the concept of total error (bias + standard deviation), guarantees that a known proportion of future results obtained with the method will be within acceptance limits. For all the compounds tested in the present study, α-pinene, α-terpineol, β-pinene, d-limonene, ∆ 3 -carene, camphene, 1,8-cineole, p-cymene, linalool, but not in the case of carvone, the accuracy profile procedure established that at least 95% of the future results obtained would be within the ±15% acceptance limits of the validated method over the whole defined concentration range. Other parameters, such as selectivity, recovery, repeatability, stability of the molecules of interest and the effect of temperature, were also determined. The performance of the described method was finally evaluated by the analysis of indoor air from new timber frame constructions.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development and validation by accuracy profile of a method for the analysis of monoterpenes in indoor air by active sampling and thermal desorption-gas chromatography-mass spectrometry

Marlet

Lognay

2010

Talanta

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“…Since data are relatively abundant to characterize the temperature dependence for α-pinene, limonene and m-xylene, chamber studies with similar experimental conditions were used to derive unified temperature parameterized functions for α and K. In this study, we grouped the available ozonolysis experiments for α-pinene and limonene, and photo-oxidation (OH initiated) experiments for m-xylene (Chen and Hopke, 2010;Cocker et al, 2001a, b;Griffin et al, 1999;Hoffmann et al, 1997;Kamens et al, 1999;Odum et al, 1996;Offenberg et al, 2007;Pathak et al, 2007a, b;Presto et al, 2005;Presto and Donahue, 2006;Saathoff et al, 2009;Sarwar et al, 2007;Takekawa et al, 2003;Warren et al, 2009;Yu et al, 1999) as described in Table 2. Due to the fact that records of α-pinene chamber data were more abundant than others, we were able to define 14 temperature bins ranging from 243 to 320 K. Limonene data, available in the temperature range of 253 to 313 K, was divided into 6 bins.…”

Section: Unified Temperature Parameterized Functions -α(T ) and K(t )mentioning

confidence: 99%

Updated aerosol module and its application to simulate secondary organic aerosols during IMPACT campaign May 2008

Elbern

et al. 2013

Atmos. Chem. Phys.

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The formation of Secondary organic aerosol (SOA) was simulated with the Secondary ORGanic Aerosol Model (SORGAM) by a classical gas-particle partitioning concept, using the two-product model approach, which is widely used in chemical transport models. In this study, we extensively updated SORGAM including three major modifications: firstly, we derived temperature dependence functions of the SOA yields for aromatics and biogenic VOCs (volatile organic compounds), based on recent chamber studies within a sophisticated mathematic optimization framework; secondly, we implemented the SOA formation pathways from photo oxidation (OH initiated) of isoprene; thirdly, we implemented the SOA formation channel from NO₃-initiated oxidation of reactive biogenic hydrocarbons (isoprene and monoterpenes). The temperature dependence functions of the SOA yields were validated against available chamber experiments, and the updated SORGAM with temperature dependence functions was evaluated with the chamber data. Good performance was found with the normalized mean error of less than 30%. Moreover, the whole updated SORGAM module was validated against ambient SOA observations represented by the summed oxygenated organic aerosol (OOA) concentrations abstracted from aerosol mass spectrometer (AMS) measurements at a rural site near Rotterdam, the Netherlands, performed during the IMPACT campaign in May 2008. In this case, we embedded both the original and the updated SORGAM module into the EURopean Air pollution and Dispersion-Inverse Model (EURAD-IM), which showed general good agreements with the observed meteorological parameters and several secondary products such as O₃, sulfate and nitrate. With the updated SORGAM module, the EURAD-IM model also captured the observed SOA concentrations reasonably well especially those during nighttime. In contrast, the EURAD-IM model before update underestimated the observations by a factor of up to 5. The large improvements of the modeled SOA concentrations by updated SORGAM were attributed to the mentioned three modifications. Embedding the temperature dependence functions of the SOA yields, including the new pathways from isoprene photo oxidations, and switching on the SOA formation from NO₃ initiated biogenic VOC oxidations, contributed to this enhancement by 10, 22 and 47%, respectively. However, the EURAD-IM model with updated SORGAM still clearly underestimated the afternoon SOA observations up to a factor of two

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“…The air freshener contained many volatile organic compounds, such as α-pinene, β-pinene, myrcene, limonene, terpinene, linalool, terpineol, benzyl and geraniol. Some of these VOCs are known to readily react with ozone, forming secondary indoor pollutants (Jo et al, 2008;Lamorena and Lee, 2008;Langer et al, 2008;Sarwar and Corsi, 2007;Fan et al, 2005).…”

Section: Volatile Organic Compounds Emittedmentioning

confidence: 99%

“…Ozone and other oxidants may also react with the dust particles or the compounds adsorbed on them, resulting in the formation of oxidation products. New particle formation may occur at low VOC concentrations and low or zero air exchange rates (Langer et al, 2008;Sarwar and Corsi, 2007). The use of commercial air fresheners may, therefore, not improve indoor air quality but may actually contribute to increased indoor air pollution to ultimately produce adverse health effects.…”

Section: Introductionmentioning

confidence: 99%

Nanoparticle Formation from a Commercial Air Freshener at Real-exposure Concentrations of Ozone

Vu¹,

Kim²,

Lee³

et al. 2011

ajae

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The effects of ozone/limonene reactions on indoor secondary organic aerosols

Cited by 107 publications

References 30 publications

Development and validation by accuracy profile of a method for the analysis of monoterpenes in indoor air by active sampling and thermal desorption-gas chromatography-mass spectrometry

Development and validation by accuracy profile of a method for the analysis of monoterpenes in indoor air by active sampling and thermal desorption-gas chromatography-mass spectrometry

Updated aerosol module and its application to simulate secondary organic aerosols during IMPACT campaign May 2008

Nanoparticle Formation from a Commercial Air Freshener at Real-exposure Concentrations of Ozone

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