Characterizing and quantifying chemical ingredient use in consumer products between two separate databases and implications for environmental and human health exposure

T. Gouin
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引用次数: 1

Abstract

Assessing chemical exposure in home and personal care products (HPCPs) represents an important data need. Key challenges to the assessment are related to limited knowledge in quantifying and characterizing the weight-fraction inclusion level and functionality of chemicals in HPCPs. Publicly available tools have been developed to address these challenges, such as the Chemical and Products database (CPDat). This study aims to evaluate the relative performance of CPDat by comparing estimates of weight-fraction inclusion level and functionality to other relevant data sources. Specifically, estimates obtained from CPDat are evaluated and compared with estimates obtained from marketing analytic data, using Euromonitor Passport for 31 commonly used chemicals found in HPCPs. The results obtained from this exercise suggest relatively good agreement between each of the methods for 10 chemicals (ρ = 0.92; P-value =0.02). When considering all 31 chemical ingredients, however, the correlation observed is generally poor (ρ = 0.46; P-value = 0.1), which is attributed to differences in how the underlying data are obtained for each method. With an emphasis on obtaining data based on mining datasheets for individual products, the application of CPDat is suggested to be useful for higher tiers of assessment, with data obtained from marketing analytics providing valuable input to exposure-based screening models. The insight gained from this study can be used to help guide the appropriate use of data obtained from different sources within a tiered exposure assessment.
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在两个独立的数据库之间描述和量化消费品中化学成分的使用及其对环境和人类健康暴露的影响
评估家庭和个人护理产品(HPCPs)中的化学品暴露是一项重要的数据需求。评估面临的主要挑战是在定量和表征HPCPs中化学品的重量分数包含水平和功能方面的知识有限。为了应对这些挑战,已经开发了公开可用的工具,例如化学品和产品数据库(CPDat)。本研究旨在通过比较权重分数包含水平和功能与其他相关数据源的估计来评估CPDat的相对性能。具体而言,使用Euromonitor Passport对hpcp中发现的31种常用化学品进行评估,并将CPDat获得的估计值与营销分析数据获得的估计值进行比较。从这个练习中得到的结果表明,10种化学品的每种方法之间的一致性相对较好(ρ = 0.92;假定值= 0.02)。然而,当考虑所有31种化学成分时,观察到的相关性通常很差(ρ = 0.46;p值= 0.1),这归因于每种方法获得基础数据的方式不同。重点是获取基于单个产品挖掘数据表的数据,建议CPDat的应用对更高层次的评估有用,从营销分析中获得的数据为基于暴露的筛选模型提供了有价值的输入。从这项研究中获得的见解可用于帮助指导在分层暴露评估中适当使用从不同来源获得的数据。
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