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首页> 外文期刊>Regulatory Toxicology and Pharmacology: RTP >Mainstream smoke constituent yields and predicting relationships from a worldwide market sample of cigarette brands: ISO smoking conditions.
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Mainstream smoke constituent yields and predicting relationships from a worldwide market sample of cigarette brands: ISO smoking conditions.

机译:主流烟气成分的产量和来自全球卷烟品牌市场样本的预测关系:ISO吸烟条件。

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摘要

The study objective is evaluation of a benchmark approach for predicting mainstream smoke constituent machine-yields for conventional cigarette brands from worldwide markets. Results for ISO smoke yields support the validity of benchmarking when brands, for which yields are to be predicted, have design characteristics within boundaries established by the exploratory brands. Yields of ISO-method mainstream smoke constituents were generally well described by weighted least squares regression relationships with ISO tar ( [Formula: see text] and coefficient [Formula: see text] values [Formula: see text] 0.05). The impact of the varied chemical composition of cigarette tobaccos from different regions on smoke constituent yields was recognized. Mainstream smoke nitrogen oxides and tobacco-specific nitrosamine (TSNA) yield prediction relationships improved by including tobacco nitrate or TSNA concentration factors in respective independent parameters. For carbon-filter brands, inclusion of a carbon factor improved the predicting relationships for several vapor-phase constituents. Relationships were validated with a subset of additional validation brands. Greater than 90% of the validation brands' smoke chemistry yields were within the 95% prediction intervals. Average differences between measured and predicted yields were generally within the range of one to two measurement standard deviations. The estimation methods proposed relate to machine-smoking conditions and are not intended to reflect the actual exposure of any given consumer to smoke constituents.
机译:该研究目标是对基准方法的评估,该方法可预测来自全球市场的传统卷烟品牌的主流烟气成分机器产量。当要预测产量的品牌在探索性品牌确定的范围内具有设计特征时,ISO烟气产量的结果可支持基准测试的有效性。通常通过与ISO焦油的加权最小二乘回归关系很好地描述了ISO方法主流烟雾成分的产量([公式:参见文字]和系数[公式:参见文字]值[公式:参见文字] 0.05)。认识到来自不同地区的卷烟化学成分的变化对烟雾成分产量的影响。通过将烟草硝酸盐或TSNA浓度因子纳入各自独立的参数,可以改善主流烟气中的氮氧化物和烟草特有的亚硝胺(TSNA)产量的预测关系。对于碳过滤器品牌,包含碳因子改善了几种气相成分的预测关系。关系通过其他验证品牌的子集进行验证。验证品牌中超过90%的烟雾化学产率在95%的预测区间内。测得的产量和预测的产量之间的平均差异通常在一到两个测量标准偏差的范围内。所提出的估计方法与机器吸烟状况有关,并不旨在反映任何给定消费者对烟雾成分的实际暴露。

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