Drinking Water Network as a Potential Pathway for Micro- and Nanoplastics Exposure to Human: A Mini Review DOI Open Access

Yecang Chen,

Yi Wang, Bo Hu

и другие.

Water, Год журнала: 2025, Номер 17(8), С. 1188 - 1188

Опубликована: Апрель 15, 2025

The risk of human exposure to micro- and nanoplastics (MNPs) has received increasing attention in recent years. Consumption drinking water is a significant route MNPs. While previous studies focus on MNPs treated wastewater or final effluent, research addressing networks (DWNs) as potential secondary sources remains sparse. However, how DWN, critical component transporting from treatment plants consumers, contributes contamination underexplored existing studies. We extracted keywords reviewed literature using bibliometric methods conducted correlation analyses, revealing four clusters: baseline detection, health assessments, nanoplastic, treatment. abundance DWN ranged 0.01 1.4 items/L. varied between 679.5 4.5 × 107 items/kg when calculated based sample mass (in scales debris). Based the shape polymer composition MNPs, strongly suspected contribute tap water. also main mechanisms for formation release pipelines, including mechanical forces, hammer effects, chemical aging. Our review highlighted current gaps MNP DWN. It will understanding contribution provide framework future monitoring efforts.

Язык: Английский

Improved multivariate quantification of plastic particles in human blood using non-targeted pyrolysis GC-MS DOI Creative Commons

Wilco Nijenhuis,

Kas J. Houthuijs, Martin Brits

и другие.

Journal of Hazardous Materials, Год журнала: 2025, Номер 489, С. 137584 - 137584

Опубликована: Фев. 11, 2025

Accurate analytical methods are crucial to assess human exposure micro- and nanoplastics (MNPs). Quantitative pyrolysis-gas chromatography coupled with mass spectrometry (Py-GC-MS) has recently been used for quantifying MNPs in blood. However, pyrolysis introduces complex effects such as secondary reactions between matrix compounds polymers. This work a non-targeted multivariate approach improve the identification quantification of polyethylene (PE), poly(vinyl chloride) (PVC) terephthalate (PET). After spiking extracted blood samples, PARADISe was componentization integration 417 features detected Py-GC-MS. Quantification based on calibration models demonstrated superior performance when compared univariate regression. Feature selection approaches were identify optimal feature subsets, which reduced errors by 30 % PE, 10 PVC 38 PET. In addition, chemical insight into processes obtained studying (MEs) The PE appeared be minimally affected (MEs = 81-154 %), while PET exhibited interactions 40-9031 impacting its accuracy. conclusion, this research highlights importance accounting during more accurate robust

Язык: Английский

Процитировано

1
Drinking Water Network as a Potential Pathway for Micro- and Nanoplastics Exposure to Human: A Mini Review DOI Open Access

Yecang Chen,

Yi Wang, Bo Hu

и другие.

Water, Год журнала: 2025, Номер 17(8), С. 1188 - 1188

Опубликована: Апрель 15, 2025

The risk of human exposure to micro- and nanoplastics (MNPs) has received increasing attention in recent years. Consumption drinking water is a significant route MNPs. While previous studies focus on MNPs treated wastewater or final effluent, research addressing networks (DWNs) as potential secondary sources remains sparse. However, how DWN, critical component transporting from treatment plants consumers, contributes contamination underexplored existing studies. We extracted keywords reviewed literature using bibliometric methods conducted correlation analyses, revealing four clusters: baseline detection, health assessments, nanoplastic, treatment. abundance DWN ranged 0.01 1.4 items/L. varied between 679.5 4.5 × 107 items/kg when calculated based sample mass (in scales debris). Based the shape polymer composition MNPs, strongly suspected contribute tap water. also main mechanisms for formation release pipelines, including mechanical forces, hammer effects, chemical aging. Our review highlighted current gaps MNP DWN. It will understanding contribution provide framework future monitoring efforts.

Язык: Английский

Процитировано

0