The Threshold of Toxicological Concern (TTC) is an approach for assessing the safety of chemicals with low levels of exposure for which limited toxicology data are available. The original TTC criteria were derived for oral exposures from a distributional analysis of a dataset of 613 chemicals that identified 5 percentile no observed effect level (NOEL) values grouped within three tiers of compounds having specific structural functional groups and/or toxic potencies known as Cramer I, II and III classifications. Subsequent assessments of the TTC approach have established current thresholds to be scientifically robust. While the TTC has gained acknowledgment and acceptance by many regulatory agencies and organizations, use of the TTC approach in evaluating drinking water chemicals has been limited. To apply the TTC concept to drinking water chemicals, an exposure-based approach that incorporates the current weight of evidence for the target chemical is presented. Such an approach provides a comparative point of departure to the 5 percentile TTC NOEL using existing data, while conserving the allocation of toxicological resources for quantitative risk assessment to chemicals with greater exposure or toxicity. This approach will be considered for incorporation into NSF/ANSI/CAN 600, a health effects standard used in the safety evaluation of chemicals present in drinking water from drinking water contact additives and materials certified to NSF/ANSI/CAN 60 and 61, respectively.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1080/15376516.2023.2279041 | DOI Listing |
Environ Sci Pollut Res Int
January 2025
Research Engineer I, Applied Research Center for Environment & Marine Studies, Research Institute, King Fahd University of Petroleum & Minerals, 31261, Dhahran, Saudi Arabia.
Concerns regarding disinfection byproducts (DBPs) in drinking water persist, with measurements in water treatment plants (WTPs) being relatively easier than those in water distribution systems (WDSs) due to accessibility challenges, especially during adverse weather conditions. Machine learning (ML) models offer improved predictions of DBPs in WDSs. This study developed multiple ML models to predict Trihalomethanes (THMs), Haloacetic Acids (HAAs), Dichloroacetonitrile (DCAN), and N-nitrosodimethylamine (NDMA) in WDSs using data collected over 13 years (2008-2020) from 113 water supply systems (WSS) in Ontario.
View Article and Find Full Text PDFDialogues Health
June 2025
Department of Economics, Shahjalal University of Science & Technology, Sylhet-3114, Bangladesh.
Purpose: Energy is a health issue. Energy intersects with health outcomes, as evidenced by the relationship between access to clean fuels and technologies and population health measured by life expectancy at birth.
Methods: Utilizing a comprehensive dataset spanning 190 countries from 2000 to 2022, this paper employs a range of static and dynamic panel data models to analyze this empirical relationship, while effectively managing unobserved country-specific heterogeneity and endogeneity issues.
ACS Environ Au
January 2025
Department of Chemistry, University of Toronto, Toronto, Ontario M5S 3H6, Canada.
Haloacetonitriles (HANs) are a class of toxic drinking water disinfection byproducts (DBPs). However, the toxicity mechanisms of HANs remain unclear. We herein investigated the structure-related in vitro toxicity of 6 representative HANs by utilizing complementary bioanalytical approaches.
View Article and Find Full Text PDFIran J Pharm Res
June 2024
Department of Clinical Sciences, Faculty of Veterinary Medicine, Shahrekord, Iran.
Background: Poultry red mites, or , pose a threat to the welfare and productivity of laying hens. Moreover, the increasing resistance of these mites to conventional miticides highlights the urgent need for alternative treatment options. There are also documented cases of poultry red mite infestations in humans.
View Article and Find Full Text PDFFood Chem X
January 2025
Department of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, 144411, India.
The study focused on converting tea bag waste into strong fluorescence carbon quantum dots (TBW-CQDs) for the detection of acrylamide in drinking water, antimicrobial activity, and photocatalytic degradation. The TBW-CQDs exhibited blue luminescence and maximum absorbance at 287 nm under UV light and distinctive fluorescence emission and excitation wavelengths at 425 nm and 287 nm, respectively. TBW-CQDs revealed a particle size of 8.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!