Primary aromatic amines in indoor dust from 10 countries and associated human exposure

Chinthakindi, Sridhar; Kannan, Kurunthachalam

doi:10.1016/j.envint.2021.106840

Cited by 23 publications

(14 citation statements)

References 37 publications

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“…Indoor dust has been a major source of human exposure to several environmental chemicals. − Two earlier studies have reported the occurrence of DPG in house dust. Shin et al collected 38 house dust samples from Northern California and found DPG in all samples at a median concentration of 3220 ng/g .…”

Section: Introductionmentioning

confidence: 99%

Occurrence of 1,3-Diphenylguanidine, 1,3-Di-o-tolylguanidine, and 1,2,3-Triphenylguanidine in Indoor Dust from 11 Countries: Implications for Human Exposure

2023

Environ. Sci. Technol.

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1,3-Diphenylguanidine (DPG), 1,3-di-o-tolylguanidine (DTG), and 1,2,3-triphenylguanidine (TPG) are synthetic chemicals widely used in rubber and other polymers. Nevertheless, limited information is available on their occurrence in indoor dust. We measured these chemicals in 332 dust samples collected from 11 countries. DPG, DTG, and TPG were found in 100%, 62%, and 76% of the house dust samples, at median concentrations of 140, 2.3, and 0.9 ng/g, respectively. The sum concentrations of DPG and its analogues varied among the countries in the following decreasing order: Japan (median: 1300 ng/g) > Greece (940) > South Korea (560) > Saudi Arabia (440) > the United States (250) > Kuwait (160) > Romania (140) > Vietnam (120) > Colombia (100) > Pakistan (33) > India (26). DPG accounted for ≥87% of the sum concentrations of the three compounds in all countries. DPG, DTG, and TPG exhibited significant correlations (r: 0.35−0.73; p < 0.001). Elevated concentrations of DPG were found in dust from certain microenvironments (e.g., offices and cars). Human exposure to DPG through dust ingestion were in the ranges 0.07−4.40, 0.09− 5.20, 0.03−1.70, 0.02−1.04, and 0.01−0.87 ng/kg body weight (BW)/day for infants, toddlers, children, teenagers, and adults, respectively.

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Section: Introductionmentioning

confidence: 99%

Occurrence of 1,3-Diphenylguanidine, 1,3-Di-o-tolylguanidine, and 1,2,3-Triphenylguanidine in Indoor Dust from 11 Countries: Implications for Human Exposure

2023

Environ. Sci. Technol.

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“…Their improper discharge and leakage will cause serious pollution to the atmosphere and water resources, both of which are public health problems that countries all over the world attach great importance to resolving. 1,2 Many technological means can be applied to the detection of aromatic amine derivatives, such as gas chromatography, 3 fluorescence spectroscopy, 4 ultraviolet spectrophotometry 5 and liquid chromatography, 6 and so on. Most of these methods have drawbacks such as high cost, long analysis time and tedious operation.…”

Section: Introductionmentioning

confidence: 99%

Aromatic amine electrochemical sensors based on a Co-MOF: a hydrogen bond-induced specific response

Yang

Sang

et al. 2022

Dalton Trans.

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“…8,9) Simplified PBPK models that use some fixed physiological system parameters are easier to handle than full PBPK models and are of use in the fields of drug discovery, poisoning, or therapeutic drug monitoring 7,[10][11][12] as well as in risk assessment for a variety of general chemicals or food components/additives. 13) Although the metabolic profiles of disparate chemicals (including aromatic amines 14,15) ) traditionally have been elucidated in rodent studies, 16) so-called new alternative methods (NAMs) for evaluating chemical safety have been widely investigated using in silico or in vitro approaches. 17,18) The approach that applies simple PBPK modeling, without any reference to experimental pharmacokinetic data, has the potential to play significant roles in replacing and reducing the use of animals for estimating toxicokinetics or internal exposures of drugs, food components, and general chemicals.…”

Section: Introductionmentioning

confidence: 99%

Updated <i>in Silico</i> Prediction Methods for Fractions Absorbed and Key Input Parameters of 355 Disparate Chemicals for Physiologically Based Pharmacokinetic Models for Time-Dependent Plasma Concentrations after Virtual Oral Doses in Humans

Adachi

Shimizu

Yamazaki

2022

Biological & Pharmaceutical Bulletin

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Human metabolic profiles for substances such as toxic food-derived compounds are usually allometrically extrapolated from traditionally determined in vivo rat concentration profiles. To evaluate internal exposures in humans without any reference to experimental data, physiologically based pharmacokinetic (PBPK) modeling could be used if the model input parameters could be estimated in silico. This approach would simplify the use of PBPK models for forward dosimetry after oral doses. In this study, the in silico estimation of input parameters for PBPK models (i.e., fraction absorbed × intestinal availability, absorption rate constants, and volumes of the systemic circulation) was updated for an panel of 355 chemicals (212 previously analyzed and 143 additional substances) using a light gradient boosting machine learning algorithms (LightGBM) based on between 11 and 29 in silico-calculated chemical descriptors.Simplified human PBPK models were then used to calculate virtual maximum plasma concentrations (Cmax) and areas under the concentration-time curve (AUC) based on two sets of input parameters, i.e., traditionally derived values from in vivo data and those calculated in silico using the current updated systems. Both sets of Cmax and AUC data were well correlated (r = 0.87 and r = 0.73, respectively; p < 0.01, n = 355). Therefore, input parameters for human PBPK models for a diverse range of compounds could be successfully estimated using chemical descriptors and in silico tools. This approach to pharmacokinetic modeling has potential for application in computational toxicology and in the clinical setting for assessing the potential risk of general chemicals.

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Primary aromatic amines in indoor dust from 10 countries and associated human exposure

Cited by 23 publications

References 37 publications

Occurrence of 1,3-Diphenylguanidine, 1,3-Di-o-tolylguanidine, and 1,2,3-Triphenylguanidine in Indoor Dust from 11 Countries: Implications for Human Exposure

Occurrence of 1,3-Diphenylguanidine, 1,3-Di-o-tolylguanidine, and 1,2,3-Triphenylguanidine in Indoor Dust from 11 Countries: Implications for Human Exposure

Aromatic amine electrochemical sensors based on a Co-MOF: a hydrogen bond-induced specific response

Updated <i>in Silico</i> Prediction Methods for Fractions Absorbed and Key Input Parameters of 355 Disparate Chemicals for Physiologically Based Pharmacokinetic Models for Time-Dependent Plasma Concentrations after Virtual Oral Doses in Humans

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