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Using a new, low-cost air quality sensor to quantify second-hand smoke (SHS) levels in homes

机译：使用新型低成本空气质量传感器来量化房屋中的二手烟（SHS）水平

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Objective To determine if a low-cost particle counter, the Dylos DC 1700, can be used in homes to quantify second-hand smoke (SHS) concentrations. Methods Participants were recruited from a hospital-based study of attitudes on smoking. Two photometric devices (Dylos DC1700 and Sidepak AM510 Personal Aerosol Monitor) capable of measuring and logging concentrations of particulate matter were placed in smoking and non-smoking homes for approximately 24h. Acquired data were randomly allocated to one of two groups: one was used to generate a calibration equation using regression techniques; the second was used for validation of the generated model. The mean difference and limits of agreement between the two instruments were calculated using the validation dataset. Summary air-quality results were also compared across the entire dataset. Results Over 500 001 minute concentration measurements were collected from 34 homes. 25 301 randomly selected paired-measurements were used to generate a calibration equation (R~2 0.86) converting the particle number concentration from the Dylos to a mass concentration of PM_(2.5) as measured by the Sidepak. The mean difference (limits of agreement) between the remaining 25 102 paired measurements was -0.09 (-49.7 to 49.5) with 3.2% of values outside the limits of agreement. Differences in the air quality information generated by the two instruments were generally small and unlikely to impact on user interpretation. Conclusions The Dylos appears to be a valid instrument for measuring PM_(2.5) in household settings. The Dylos may be useful in air quality-based interventions designed to change smokers' behaviours with the possibility of encouraging cessation and/or smoke-free homes.
机译：目的为了确定是否可以在家庭中使用低成本的粒子计数器Dylos DC 1700来量化二手烟（SHS）浓度。方法从医院对吸烟态度的研究中招募参与者。将两个能够测量和记录颗粒物浓度的光度测量设备（Dylos DC1700和Sidepak AM510个人气溶胶监测器）放置在吸烟和无烟房屋中约24小时。将获得的数据随机分配给两组中的一组：一组用于使用回归技术生成校准方程式；另一组用于生成回归方程式。第二个用于验证生成的模型。使用验证数据集计算两种工具之间的平均差异和一致性极限。还对整个数据集的空气质量汇总结果进行了比较。结果从34个家庭中收集了超过500 001分钟的浓度测量值。使用25 301个随机选择的配对测量值来生成校正方程式（R〜2 0.86），该校正方程式将Dylos的颗粒数浓度转换为Sidepak测量的PM_（2.5）质量浓度。其余25 102个配对测量之间的平均差（一致性限制）为-0.09（-49.7至49.5），其中3.2％的值超出一致性限制。两种仪器产生的空气质量信息的差异通常很小，并且不太可能影响用户的解释。结论Dylos似乎是在家庭环境中测量PM_（2.5）的有效仪器。 Dylos在基于空气质量的干预措施中可能有用，该干预措施旨在改变吸烟者的行为，并可能鼓励戒烟和/或无烟家庭。

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  • 来源
    《Tobacco control》 |2015年第2期|153-158|共6页
  • 作者

    Sean Semple; Azmina Engku Ibrahim; Andrew Apsley; Markus Steiner; Stephen Turner;

  • 作者单位

    Respiratory Group, Division of Applied Health Sciences, Scottish Centre for Indoor Air, University of Aberdeen, Aberdeen, UK,Center for Human Exposure Science, Institute of Occupational Medicine, Edinburgh, UK,Centre for Indoor Air, University of Aberdeen, Room 29.04a, Royal Aberdeen Children's Hospital, Westburn Road, Aberdeen AB25 2ZD, UK;

    Respiratory Group, Division of Applied Health Sciences, Scottish Centre for Indoor Air, University of Aberdeen, Aberdeen, UK;

    Respiratory Group, Division of Applied Health Sciences, Scottish Centre for Indoor Air, University of Aberdeen, Aberdeen, UK;

    Respiratory Group, Division of Applied Health Sciences, Scottish Centre for Indoor Air, University of Aberdeen, Aberdeen, UK;

    Respiratory Group, Division of Applied Health Sciences, Scottish Centre for Indoor Air, University of Aberdeen, Aberdeen, UK;

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