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Development of a personal passive air sampler for estimating exposure to effective chlorine while using chlorine‐based disinfectants
Indoor Air ( IF 4.3 ) Pub Date : 2020-09-26 , DOI: 10.1111/ina.12747
Yeonjeong Ha 1 , Yoonsub Kim 1 , Eugene Song 2 , Hyun Jung Yoo 2 , Jung-Hwan Kwon 1
Affiliation  

With an increasing use of indoor disinfectants such as chlorine (Cl2) and hypochlorous acid, a convenient sampler for estimating exposure to oxidants, such as effective chlorine, is necessary. Here, we developed a personal passive air sampler (PPAS) composed of a redox dye, o‐dianisidine, in a polydimethylsiloxane (PDMS) sheet. o‐Dianisidine readily reacts with gaseous oxidants generated by bleach usage, and its color changes as the reaction progresses; hence, personal exposure to effective chlorine could be easily detected by the naked eye, while cumulative exposure could be determined by measuring concentrations of o‐dianisidine reacting with it. The PPAS was calibrated, and a sampling rate of 0.00253 m3/h was obtained using a small test chamber. The PPAS was tested with the help of ten volunteers whose personal exposure to Cl2‐equivalent gas was estimated after bathrooms were cleaned using spray and liquid‐type household disinfection products, and the accumulated exposure‐gas concentrations ranged from 69 to 408 ppbv and 148 to 435 ppbv, respectively. These PPAS‐derived exposure concentrations were approximately two orders lower than those estimated using ConsExpo, suggesting a significant overestimation by prevailing screening models, possibly due to the ignorance of transformation reactions.

中文翻译:

开发个人被动式空气采样器,用于估算使用氯基消毒剂时的有效氯暴露量

随着氯 (Cl 2 ) 和次氯酸等室内消毒剂的使用越来越多,需要一个方便的采样器来估计氧化剂(如有效氯)的暴露情况。在这里,我们开发了一种个人被动空气采样器 ( PPAS),它由聚二甲基硅氧烷 (PDMS) 片材中的氧化还原染料邻联苯胺组成。o -二茴香胺易与漂白剂产生的气态氧化剂发生反应,随着反应的进行其颜色会发生变化;因此,个人接触有效氯可以很容易地用肉眼检测,而累积接触可以通过测量与其反应的邻联茴香胺的浓度来确定。PPAS经过校准,采样率为0.00253 m 3/h 是使用小型试验室获得的。PPAS 在 10 名志愿者的帮助下进行了测试,他们在使用喷雾和液体型家用消毒产品清洁浴室后估计个人暴露于 Cl 2等效气体,累积暴露气体浓度范围为 69 至 408 ppbv 和 148分别为 435 ppbv。这些 PPAS 衍生的暴露浓度大约比使用 ConsExpo 估计的低两个数量级,这表明流行的筛选模型显着高估了,可能是由于对转化反应的无知。
更新日期:2020-09-26
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