To enhance the efficiency of assessing human exposure to SVOCs in the atmosphere, we developed a free platform to achieve rapid prediction of SVOCs exposure intake and to reduce the technical barriers to human exposure assessment. Furthermore, it allowed for the determination of human intakes of SVOCs in both gas and particulate phases by requiring only the concentrations in a single phase, eve
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To enhance the efficiency of assessing human exposure to SVOCs in the atmosphere, we developed a free platform to achieve rapid prediction of SVOCs exposure intake and to reduce the technical barriers to human exposure assessment. Furthermore, it allowed for the determination of human intakes of SVOCs in both gas and particulate phases by requiring only the concentrations in a single phase, even only in a specific particle size range. The core computational components of the platform were provided by the method for predicting inhalation and dermal intakes of SVOCs from gaseous concentration, as well as the method for estimating inhalation and dermal intakes of SVOCs from their concentrations in a specified size-range particles, TSP, or total air (gas phase + particle phase), which were achieved through the deduction from the size-resolved G/P partitioning model and equation of human exposure assessment. This platform was currently constrained by the limitations of G/P partitioning theory, allowing for reliable predictions only for 209 PBDEs and 8 NBFRs.
为了提高人类对大气中SVOCs暴露的评估效率，我们开发了一个免费的平台，以实现SVOCs暴露摄入量的快速预测，降低人类暴露评估的技术障碍。此外，它允许通过仅单一相或是在特定粒径范围内的颗粒物的浓度来确定气相和颗粒相中SVOCs的人体暴露摄入量。平台的核心是通过气相浓度（Cg）以及通过特定粒径范围内颗粒物浓度（Cpi）、颗粒物浓度（Cp）或总空气浓度（Cg+Cp）预测SVOCs吸入和皮肤摄入量的方法，此预测方法都是通过不同粒径区间的气粒分配模型和人体暴露评估方程推导出来的。该平台目前受到气粒分配划分理论的限制，只能对209种PBDEs和8种NBFRs进行可靠的预测。
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