A measurement and modelling investigation of the indoor air chemistry following cooking activities

Davies, Helen Louise; O’Leary, Catherine; Dillon, Terry J.; Shaw, David R.; Shaw, Marvin; Mehra, Archit; Phillips, G. J.; Carslaw, Nicola

doi:10.1039/d3em00167a

Cited by 8 publications

(12 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The formation of organic nitrates is dependent on the branching ratio of RO 2 + NO reactions to form RO (≥80%) or organic nitrate species (≤20%). 7 Hence, the specific RO 2 species formed by initial oxidation of monoterpene species determines the yield of organic nitrate via pathway 1 in Fig. 5.…”

Section: Resultsmentioning

confidence: 99%

Does green mean clean? Volatile organic emissions from regular versus green cleaning products

Harding-Smith,

Shaw,

Shaw

et al. 2024

Environ. Sci.: Processes Impacts

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Resultsmentioning

confidence: 99%

Does green mean clean? Volatile organic emissions from regular versus green cleaning products

Harding-Smith,

Shaw,

Shaw

et al. 2024

Environ. Sci.: Processes Impacts

Self Cite

View full text Add to dashboard Cite

show abstract

“…Further work, including the analysis of more controls, might allow for the remaining unidentified components to be identified. The volatiles in some components may also have largely off-gassed over the decades [43,44], and it may be that their identity will never be revealed.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the Naturally Aged Scented Components of Montien Boonma’s House of Hope

Stephens,

Biggs,

Poh

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

Analysis of the scented components of the art installation House of Hope by Montien Boonma, including eight bags of unlabeled or poorly labeled powder and five strands of aromatic beads, was completed to facilitate its display at the Museum of Modern Art (MoMA). Though an olfactory experience is central to the piece, limited information was available concerning the origin of the object’s scent. Identification of the aromas from the powders and beads, some of which were nearly 30 years old, was accomplished through visual assessment, attenuated total reflectance–Fourier-transform infrared spectroscopy (ATR-FTIR), and static headspace solid-phase microextraction gas chromatography–mass spectrometry (HS-SPME-GCMS) and confirmed using controls. Challenges included spices that had lost some of their potency or become cross-contaminated. The contents of five of the eight bags of powder were successfully identified as black pepper (two bags), clove, turmeric, and white sandalwood (Santalum album). All beads contained nutmeg, peppermint, ginger, and turmeric, while licorice root, thyme, cardamom, and clove were noted in some. The beads were bound using pine honey, a unique type of honey produced by bees that feed on aphid excretions. Identifying the scented components informs current and future installations so that the artist’s original intent is more closely approximated.

show abstract

“…The utility of INCHEM-Py is further demonstrated by the publications that have used the model since the Shaw and Carslaw (2021) release of v1.1. Published articles include Lakey et al (2021), Wang et al (2022), Carter et al (2023, Beel et al (2023) and Davies et al (2023), with several additional articles in preparation that discuss emissions from cooking and cleaning, UV-induced emissions from plastics, and future indoor air pollution scenarios. Each case exhibits the versatility of INCHEM-Py and the ability of users to simulate custom experimental scenarios to expand our understanding of indoor air chemistry.…”

Section: Discussionmentioning

confidence: 99%

INCHEM-Py v1.2: a community box model for indoor air chemistry

Shaw,

Carter,

Davies

et al. 2023

Geosci. Model Dev.

Self Cite

View full text Add to dashboard Cite

Abstract. The Indoor CHEMical model in Python, INCHEM-Py, is an open-source and accessible box model for the simulation of the indoor atmosphere and is a refactor (rewrite of source code) and significant development of the INdoor Detailed Chemical Model (INDCM). INCHEM-Py creates and solves a system of coupled ordinary differential equations that include gas-phase chemistry, surface deposition, indoor–outdoor air change, indoor photolysis processes and gas-to-particle partitioning for three common terpenes. It is optimised for ease of installation and simple modification for inexperienced users, while also providing unfettered access to customise the physical and chemical processes for more advanced users. A detailed user manual is included with the model and updated with each version release. In this paper, INCHEM-Py v1.2 is introduced, and the modelled processes are described in detail, with benchmarking between simulated data and published experimental results presented, alongside discussion of the parameters and assumptions used. It is shown that INCHEM-Py achieves excellent agreement with measurements from an experimental campaign which investigate the effects of different surfaces on the concentrations of different indoor air pollutants. In addition, INCHEM-Py shows closer agreement to experimental data than INDCM. This is due to the increased functionality of INCHEM-Py to model additional processes, such as deposition-induced surface emissions. A comparative analysis with a similar zero-dimensional model, AtChem2, verifies the solution of the gas-phase chemistry. Published community use cases of INCHEM-Py are also presented to show the variety of applications for which this model is valuable to further our understanding of indoor air chemistry.

show abstract

A measurement and modelling investigation of the indoor air chemistry following cooking activities

Abstract: Domestic cooking is a source of indoor air pollutants, including volatile organic compounds (VOCs), which can impact on indoor air quality. However, the real-time VOC emissions from cooking are not...

Cited by 8 publications

References 58 publications

Does green mean clean? Volatile organic emissions from regular versus green cleaning products

Does green mean clean? Volatile organic emissions from regular versus green cleaning products

Analysis of the Naturally Aged Scented Components of Montien Boonma’s House of Hope

INCHEM-Py v1.2: a community box model for indoor air chemistry

Contact Info

Product

Resources

About