Chemicals used in building materials can be a major passive emission source indoors, associated with the deterioration of indoor environmental quality. This study aims to screen the various chemicals used in building materials for potential near-field human exposures and related health risks, identifying chemicals and products of concern to inform risk reduction efforts. We propose a mass balance-based and high-throughput suited model for predicting chemical emissions from building materials considering indoor sorption. Using this model, we performed a screening-level human exposure assessment for chemicals in building materials, starting from product chemical composition data reported in the Pharos Building Products Database for the USA. Health risks and MAximum chemical Contents from High-Throughput Screening (MAC_HTS) were determined, combining exposure estimates with toxicity information. Exposures were estimated for >300 unique chemical-product combinations from the Pharos databases, of which 73% (25%) had non-cancer (cancer) toxicity data available. We identified 55 substances as chemicals of high concern, with actual chemical contents exceeding MAC_HTS by up to a factor 10⁵, in particular diisocyanates and formaldehyde. This stresses the need for more refined investigations to select safer alternatives. This study serves as a suitable starting point for prioritizing chemicals/products and thus developing safer and more sustainable building materials.

建筑材料中使用的化学品可能是室内的主要被动排放源，与室内环境质量恶化有关。本研究旨在筛选建筑材料中使用的各种化学品，以发现潜在的近场人体暴露和相关的健康风险，确定关注的化学品和产品，为降低风险的工作提供信息。我们提出了一种基于质量平衡且适合高通量的模型，用于预测考虑室内吸附的建筑材料的化学排放。使用该模型，我们从美国 Pharos 建筑产品数据库中报告的产品化学成分数据开始，对建筑材料中的化学物质进行了筛查级别的人体暴露评估。高通量筛查 (MAC _{HTS ) 中的健康风险和最大化学成分}) 被确定，结合暴露估计与毒性信息。对 Pharos 数据库中超过 300 种独特化学产品组合的暴露量进行了估计，其中 73% (25%) 有可用的非癌症（癌症）毒性数据。我们将 55 种物质确定为高度关注的化学物质，其实际化学物质含量超过 MAC _HTS高达 10 ⁵倍，尤其是二异氰酸酯和甲醛。这强调了需要进行更精细的调查以选择更安全的替代品。这项研究可作为优先考虑化学品/产品的合适起点，从而开发更安全、更可持续的建筑材料。