Data from which figures and table in "A Model for Risk-Based Screening and Prioritization of Human Exposure to Chemicals from Near-Field Sources" were constructed. This dataset is associated with the following publication: Li, L., J. Westgate, L. Hughes, X. Zhang, B. Givehchi, L. Toose, J. Armitage, F. Wania, P. Egeghy, and J. Arnot. A Model for Risk-Based Screening and Prioritization of Human Exposure to Chemicals from Near-Field Sources. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(24): 14235-14244, (2018).

Data from which figures and table in "A Model for Risk-Based Screening and Prioritization of Human Exposure to Chemicals from Near-Field Sources" were constructed. This dataset is associated with the following publication: Li, L., J. Westgate, L. Hughes, X. Zhang, B. Givehchi, L. Toose, J. Armitage, F. Wania, P. Egeghy, and J. Arnot. A Model for Risk-Based Screening and Prioritization of Human Exposure to Chemicals from Near-Field Sources. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(24): 14235-14244, (2018).

t is widely accepted that substances that cannot penetrate through the skin will not be sensitizers. LogKow and molecular weight (MW) have been used to set thresholds for sensitization potential. Highly hydrophilic substances e.g. LogKow ≤ 1 are expected not to penetrate effectively to induce sensitization. To investigate whether LogKow >1 is a true requirement for sensitization, a large dataset of substances that had been evaluated for their skin sensitization potential under Registration, Evaluation, Authorisation and restriction of CHemicals (REACH), together with available measured LogKow values was compiled using the OECD eChemPortal. The incidence of sensitizers relative to non-sensitizers above and below a LogKow of 1 was explored. Reaction chemistry principles were used to explain the sensitization observed for the subset of substances with a LogKow ≤0. 1482 substances were identified with skin sensitization data and measured LogKow values. 525 substances had a measured LogKow ≤ 1, 100 of those were sensitizers. There was no significant difference in the incidence of sensitizers above and below a LogKow of 1. Reaction chemistry principles that had been established for lower MW and more hydrophobic substances were found to be still valid in rationalizing the skin sensitizers with a LogKow ≤ 0. The LogKow threshold arises from the widespread misconception that the ability to efficiently penetrate the stratum corneum is a key determinant of sensitization potential and potency. This dataset is associated with the following publication: Fitzpatrick, J., D. Roberts, and G. Patlewicz. (Journal of Applied Toxicology) Is skin penetration a determining factor in skin sensitisation potential and potency? Refuting the notion of a LogKow threshold for Skin Sensitisation. JOURNAL OF APPLIED TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 1-11, (2016).

생활화학제품 사용시 흡입, 피부접촉, 음용을 통해 화학물질에 노출될 수 있는 양에 대하여 경로별 시나리오를 가정하고 표준노출계수와 사용량 정보 등을 이용하여 노출량을 계산하여 제공합니다. 사용자가 주어진 조건에서의 계산된 노출량 값을 보고 그와 유사한 조건에서의 노출량을 추정하는데 도움을 주며, 기타 노출량 결과값과 비교해 볼 수 있습니다.

Dermal absorption is an important route of exposure that includes pharmaceuticals, consumer products and occupational exposures. "httk" is being developed as a tool to predict internal dose after exposure. The dermal route will be added to this package in order to account for dermal exposure. This dataset is associated with the following publication: Evans, M., T. Moxon, G. Lian, B. Deacon, T. Chen, L. Adams, A. Meade, and J. Wambaugh. A regression analysis using simple descriptors for multiple dermal datasets: Going from individual membranes to the full skin. JOURNAL OF APPLIED TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 43(6): 940-950, (2023).

Dermal absorption is an important route of exposure that includes pharmaceuticals, consumer products and occupational exposures. "httk" is being developed as a tool to predict internal dose after exposure. The dermal route will be added to this package in order to account for dermal exposure. This dataset is associated with the following publication: Evans, M., T. Moxon, G. Lian, B. Deacon, T. Chen, L. Adams, A. Meade, and J. Wambaugh. A regression analysis using simple descriptors for multiple dermal datasets: Going from individual membranes to the full skin. JOURNAL OF APPLIED TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 43(6): 940-950, (2023).

This data set contains dose-response data for perchlorate exposure in multiple species. These data were assembled from peer-reviewed studies. Species included in this dataset are: rats (Rattus sp.), meadow voles (Microtus sp.), rabbits (Oryctolagus cuniculus), the African clawed frog (Xenopus laevis), zebrafish (Danio rerio), mosquito fish (Gambusia holbrooki), the bobwhite quail (Colinus virginianus), earthworms (Eisenia foetida), mosquito larvae (Culex quinquefasciatus), the water flea (Daphnia magna), and the sand dollar (Peronella japonica). This dataset is associated with the following publication: Hines, D., S. Edwards, R. Conolly, and A. Jarabek. The Aggregate Exposure Pathway (AEP) and Adverse Outcome Pathway (AOP) frameworks facilitate the integration of human health and ecological endpoints for Cumulative Risk Assessment (CRA). ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(2): 839-849, (2018).

This data set contains dose-response data for perchlorate exposure in multiple species. These data were assembled from peer-reviewed studies. Species included in this dataset are: rats (Rattus sp.), meadow voles (Microtus sp.), rabbits (Oryctolagus cuniculus), the African clawed frog (Xenopus laevis), zebrafish (Danio rerio), mosquito fish (Gambusia holbrooki), the bobwhite quail (Colinus virginianus), earthworms (Eisenia foetida), mosquito larvae (Culex quinquefasciatus), the water flea (Daphnia magna), and the sand dollar (Peronella japonica). This dataset is associated with the following publication: Hines, D., S. Edwards, R. Conolly, and A. Jarabek. The Aggregate Exposure Pathway (AEP) and Adverse Outcome Pathway (AOP) frameworks facilitate the integration of human health and ecological endpoints for Cumulative Risk Assessment (CRA). ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(2): 839-849, (2018).