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

机译:接触个人护理产品中的防腐剂:案例研究将生物监测数据与模型预测进行比较

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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:曝光模型对于评估个人护理产品成分的安全性至关重要。但是,很少有研究可以将模型预测与曝光数据进行比较。来自最近使用个人护理产品的八个志愿者的最近密集的观察生物监测研究的数据用于估计最小和最大吸收剂量的三种羟基苯甲烷(甲基,乙基 - 和N-丙基[MP,EP和PP])和三氯烷4天记录使用牙膏,洗发水,淋浴凝胶,剃须膏,面霜和遮阳膜与目标防腐成分。在默认模式下运行四种可用的模型,假设基于产品使用的参与者的特定组合来估算每种成分和参与者的平均每日吸收剂量的0.1%的成分浓度:Consexpo,在确定性模式下运行;欧盟委员会消费者安全(SCCS)风险评估筛查模型算法; sheds-ht;和奶油护理和化妆品(CC)。基于生物监测数据的志愿者的最小估计的吸收剂量范围为0.2至12.1ug / kg-d,用于EP,0.05至2.4 ug / kg-d,pp 0.02至5.0ug / kg-d,0.02至26.9ug / kg-d用于triclosan。通过一些例外,根据化学模型,曝光模型的结果落入了生物监测数据的10倍。 Consexpo和SCCS点估计往往是最保守的,但通常在最低限度范围内降至最大估计的曝光率范围内。曝光估计的CC和Sheds-HT分布通常包括基于生物监测数据的估计曝光率。将提出和过度估计实际曝光的具体模式,包括比较估计和测量产品使用量和频率。还将提出对产品和其他因素的假定浓度的敏感性分析。

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