Institute of Natural Science, Yongin University, Yongin 17092, Republic of Korea.
Department of Occupational and Environmental Health, Yongin University, Yongin 17092, Republic of Korea.
Ecotoxicol Environ Saf. 2022 Jul 15;240:113677. doi: 10.1016/j.ecoenv.2022.113677. Epub 2022 May 26.
People are exposed to various chemicals contained in consumer products for which the risks are poorly characterized. There is growing evidence that exposure to endocrine disrupting chemicals (EDCs) through product use potentially affects development, behavior, and reproduction. However, limited information is available about common combinations of chemicals based on their appearance and potential health effects. The present study listed the ingredients contained in 11064 household chemical products from a publicly available database, and identified EDCs related to estrogenicity, androgenicity, thyroid hormone disruption, and changes in steroidogenesis. Association rule mining was applied to the dataset to identify frequent combinations of chemicals or commonly occurring EDCs contained in a single product. Among the target products, ingredient names were matched with 1241 chemical identifiers. A total of 293 chemicals were related to endocrine disruption, and nearly two-thirds of the products contained more than one of these chemicals. Cleaning products, synthetic detergents, fabric softeners, air fresheners, and deodorants have several hotspots for fragrances, isothiazolinones, glycol ethers, and parabens. The three most prevalent EDCs in household chemical products were added to act as fragrances and preservatives. The present study demonstrated that commonly occurring chemical combinations can be derived using an association rule mining algorithm. The results of this study will be useful in prioritizing chemical combinations and developing management plans for EDC mixture in consumer products.
人们会接触到各种消费品中含有的化学物质,而这些物质的风险特征描述却很差。越来越多的证据表明,通过产品使用接触内分泌干扰化学物质(EDCs)可能会影响发育、行为和生殖。然而,关于常见的化学物质组合,根据其外观和潜在的健康影响,信息有限。本研究从一个公开的数据库中列出了 11064 种家用化学品产品中的成分,并确定了与雌激素、雄激素、甲状腺激素干扰和类固醇生成变化有关的 EDCs。关联规则挖掘被应用于数据集,以识别单个产品中常见的化学物质组合或常见的 EDCs。在目标产品中,成分名称与 1241 种化学标识符相匹配。共有 293 种化学物质与内分泌干扰有关,近三分之二的产品含有不止一种此类化学物质。清洁产品、合成洗涤剂、织物柔软剂、空气清新剂和除臭剂都有几个香水、异噻唑啉酮、乙二醇醚和对羟基苯甲酸酯的热点。家用化学品中最常见的三种 EDC 被添加到产品中用作香料和防腐剂。本研究表明,可以使用关联规则挖掘算法得出常见的化学物质组合。本研究的结果将有助于优先考虑化学物质组合,并为消费品中的 EDC 混合物制定管理计划。