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Exposure to Preservatives in Personal Care Products: Case Study Comparing Biomonitoring Data to Model Predictions

机译:个人护理产品中防腐剂的暴露:比较生物监测数据与模型预测的案例研究

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Exposure models are critical to the evaluation of the safety of personal care product ingredients. However, very few studies are available comparing model predictions to exposure data. Data from a recent intensive observational biomonitoring study of eight volunteers using personal care products were used to estimate minimum and maximum absorbed doses of three parabens (methyl-, ethyl-, and n-propyl [MP, EP, and PP]) and triclosan over four days of recorded use of toothpaste, shampoo, shower gel, shaving cream, face cream, and sunscreen with the target preservative ingredients. Four available models were run in default mode assuming 0.1% ingredient concentration to estimate average daily absorbed doses for each ingredient and participant based on the participant-specific combination of product uses: ConsExpo, run in deterministic mode; the European Commission Scientific Committee on Consumer Safety (SCCS) risk assessment screening model algorithms; SHEDS-HT; and Creme Care & Cosmetics (Creme CC). Minimum estimated absorbed doses across volunteers based on biomonitoring data ranged from 0.2 to 12.1 ug/kg-d for MP, 0.05 to 2.4 ug/kg-d for EP, 0.02 to 5.0 ug/kg-d for PP, and 0.02 to 26.9 ug/kg-d for triclosan. With a few exceptions, the results of the exposure models fell within a factor of 10 of the biomonitoring data depending on the chemical modeled. ConsExpo and SCCS point estimates were often the most conservative, but often fell within the range of minimum to maximum estimated exposure levels. The Creme CC and SHEDS-HT distributions of exposure estimates often encompassed the estimated exposure levels based on biomonitoring data. Specific patterns of under- and over- estimation of actual exposures will be presented, including comparison of estimated and measured product use amounts and frequencies. A sensitivity analysis on the assumed concentration of preservatives in the products and other factors will also be presented.
机译:暴露模型对于评估个人护理产品成分的安全性至关重要。但是,很少有研究将模型预测与暴露数据进行比较。来自最近对八名使用个人护理产品的志愿者进行的密集观察性生物监测研究的数据用于估计三种对羟基苯甲酸酯(甲基,乙基和正丙基[MP,EP和PP])和三氯生的最小和最大吸收剂量。记录使用目标防腐剂成分的牙膏,洗发水,沐浴露,剃须膏,面霜和防晒霜的四天。四种可用模型在默认模式下运行,假定成分浓度为0.1%,以根据特定于参与者的特定用途产品组合估算每种成分和参与者的平均每日吸收剂量:ConsExpo,以确定性模式运行;欧洲委员会消费者安全科学委员会(SCCS)风险评估筛选模型算法; SHEDS-HT;和Creme Care&Cosmetics(Creme CC)。根据生物监测数据,志愿者对MP的最低估计吸收剂量范围为MP的0.2至12.1 ug / kg-d,EP的0.05至2.4 ug / kg-d,PP的0.02至5.0 ug / kg-d和0.02至26.9 ug / kg-d三氯生。除少数例外,根据所建模的化学物质,暴露模型的结果在生物监测数据的十分之一以内。 ConsExpo和SCCS的点估计值通常是最保守的,但通常落在最小到最大估计暴露水平范围内。接触估计的Creme CC和SHEDS-HT分布通常包含基于生物监测数据的估计接触水平。将介绍实际暴露量低估和高估的特定模式,包括比较估计和测得的产品使用量和使用频率。还将对假定产品中防腐剂的浓度和其他因素进行敏感性分析。

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