Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/27413
Appears in Collections:Faculty of Health Sciences and Sport Journal Articles
Peer Review Status: Refereed
Title: "How do you know those particles are from cigarettes?": An algorithm to help differentiate second-hand tobacco smoke from background sources of household fine particulate matter
Author(s): Dobson, Ruaraidh
Semple, Sean
Contact Email: sean.semple@stir.ac.uk
Keywords: Biochemistry
General Environmental Science
Issue Date: 31-Oct-2018
Citation: Dobson R & Semple S (2018) "How do you know those particles are from cigarettes?": An algorithm to help differentiate second-hand tobacco smoke from background sources of household fine particulate matter. Environmental Research, 166, pp. 344-347. https://doi.org/10.1016/j.envres.2018.06.019
Abstract: Background Second-hand smoke (SHS) at home is a target for public health interventions, such as air quality feedback interventions using low-cost particle monitors. However, these monitors also detect fine particles generated from non-SHS sources. The Dylos DC1700 reports particle counts in the coarse and fine size ranges. As tobacco smoke produces far more fine particles than coarse ones, and tobacco is generally the greatest source of particulate pollution in a smoking home, the ratio of coarse to fine particles may provide a useful method to identify the presence of SHS in homes. Methods An algorithm was developed to differentiate smoking from smoke-free homes. Particle concentration data from 116 smoking homes and 25 non-smoking homes were used to test this algorithm. Results The algorithm correctly classified the smoking status of 135 of the 141 homes (96%), comparing favourably with a test of mean mass concentration. Conclusions Applying this algorithm to Dylos particle count measurements may help identify the presence of SHS in homes or other indoor environments. Future research should adapt it to detect individual smoking periods within a 24 h or longer measurement period.
DOI Link: 10.1016/j.envres.2018.06.019
Rights: This item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. Accepted refereed manuscript of: Dobson R & Semple S (2018) “How do you know those particles are from cigarettes?”: An algorithm to help differentiate second-hand tobacco smoke from background sources of household fine particulate matter, Environmental Research, 166, pp. 344-347. DOI: https://doi.org/10.1016/j.envres.2018.06.019. © 2018, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

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