“…44 MA and 3-&4-MHA are urinary exposure biomarkers of styrene and m-&p-xylene, respectively. 33 Consistent with internal exposure biomonitoring results, studies for atmospheric VOCs suggest that the ratios of styrene to m-&p-xylene in the air in the ER (1.00) 24 are significantly higher compared with that in other reference areas (0.20 and 0.40). 45,46 Thus, the high prediction accuracy of Function 1 may be because MA/3-&4-MHA and 2-HPMA/3-&4-MHA are characteristic indicators of EWP.…”
Section: Environmentalmentioning
confidence: 63%
“…3 Using MeTs and VOCs to indicate EWP has two advantages, as MeTs are essential components of e-waste, 2,4 and the exposure biomarkers for most MeTs and VOCs can be easily detected in urine. 21,22 Environmental evidence has documented the pollution level of VOCs and MeTs in different environmental media in the ER, 11,23,24 but minimal information is available regarding their human exposure burden except for some highly concerning MeTs, such as lead (Pb) and cadmium (Cd). 1,3,23 Exposure to VOCs in nonoccupationally exposed populations from the ER after e-waste control has not been profiled.…”
Section: Introductionmentioning
confidence: 99%
“…Urine is widely used as a noninvasive biomonitoring substrate to reflect human pollutant exposure levels. − Although halogenated flame retardants, polychlorinated dibenzo- p -dioxins, and high molecular-PAH derivatives are characteristic indicators of e-waste pollution (EWP), , these pollutants cannot be routinely biomonitored because of their high retention in the blood or tissues rather than in urine . Using MeTs and VOCs to indicate EWP has two advantages, as MeTs are essential components of e-waste, , and the exposure biomarkers for most MeTs and VOCs can be easily detected in urine. , Environmental evidence has documented the pollution level of VOCs and MeTs in different environmental media in the ER, ,, but minimal information is available regarding their human exposure burden except for some highly concerning MeTs, such as lead (Pb) and cadmium (Cd). ,, Exposure to VOCs in nonoccupationally exposed populations from the ER after e-waste control has not been profiled . Herein, taking advantage of the opportunity to implement e-waste control in Guiyu ER since 2015, we attempted to reveal the temporal variations in levels of urinary VOC metabolites (mVOCs), MeTs, and oxidative DNA damage in children to demonstrate the effectiveness of e-waste control in reducing population pollutant exposure risks.…”
The significant health implications of e-waste toxicants
have triggered
the global tightening of regulation on informal e-waste recycling
sites (ER) but with disparate governance that requires effective monitoring.
Taking advantage of the opportunity to implement e-waste control in
the Guiyu ER since 2015, we investigated the temporal variations in
levels of oxidative DNA damage, 25 volatile organic compound metabolites
(VOCs), and 16 metals/metalloids (MeTs) in urine in 918 children between
2016 and 2021 to demonstrate the effectiveness of e-waste control
in reducing population exposure risks. The hazard quotients of most
MeTs and levels of 8-hydroxy-2′-deoxyguanosine in children
decreased significantly during this time, indicating that e-waste
control effectively reduces the noncarcinogenic risks of MeT exposure
and levels of oxidative DNA damage. Using mVOC-derived indexes as
a feature, a bagging-support vector machine algorithm-based machine
learning model was constructed to predict the extent of e-waste pollution
(EWP). The model exhibited excellent performance with accuracies >97.0%
in differentiating between slight and severe EWP. Five simple functions
established using mVOC-derived indexes also had high accuracy in predicting
the presence of EWP. These models and functions provide a novel human
exposure monitoring-based approach for assessing e-waste governance
or the presence of EWP in other ERs.
“…44 MA and 3-&4-MHA are urinary exposure biomarkers of styrene and m-&p-xylene, respectively. 33 Consistent with internal exposure biomonitoring results, studies for atmospheric VOCs suggest that the ratios of styrene to m-&p-xylene in the air in the ER (1.00) 24 are significantly higher compared with that in other reference areas (0.20 and 0.40). 45,46 Thus, the high prediction accuracy of Function 1 may be because MA/3-&4-MHA and 2-HPMA/3-&4-MHA are characteristic indicators of EWP.…”
Section: Environmentalmentioning
confidence: 63%
“…3 Using MeTs and VOCs to indicate EWP has two advantages, as MeTs are essential components of e-waste, 2,4 and the exposure biomarkers for most MeTs and VOCs can be easily detected in urine. 21,22 Environmental evidence has documented the pollution level of VOCs and MeTs in different environmental media in the ER, 11,23,24 but minimal information is available regarding their human exposure burden except for some highly concerning MeTs, such as lead (Pb) and cadmium (Cd). 1,3,23 Exposure to VOCs in nonoccupationally exposed populations from the ER after e-waste control has not been profiled.…”
Section: Introductionmentioning
confidence: 99%
“…Urine is widely used as a noninvasive biomonitoring substrate to reflect human pollutant exposure levels. − Although halogenated flame retardants, polychlorinated dibenzo- p -dioxins, and high molecular-PAH derivatives are characteristic indicators of e-waste pollution (EWP), , these pollutants cannot be routinely biomonitored because of their high retention in the blood or tissues rather than in urine . Using MeTs and VOCs to indicate EWP has two advantages, as MeTs are essential components of e-waste, , and the exposure biomarkers for most MeTs and VOCs can be easily detected in urine. , Environmental evidence has documented the pollution level of VOCs and MeTs in different environmental media in the ER, ,, but minimal information is available regarding their human exposure burden except for some highly concerning MeTs, such as lead (Pb) and cadmium (Cd). ,, Exposure to VOCs in nonoccupationally exposed populations from the ER after e-waste control has not been profiled . Herein, taking advantage of the opportunity to implement e-waste control in Guiyu ER since 2015, we attempted to reveal the temporal variations in levels of urinary VOC metabolites (mVOCs), MeTs, and oxidative DNA damage in children to demonstrate the effectiveness of e-waste control in reducing population pollutant exposure risks.…”
The significant health implications of e-waste toxicants
have triggered
the global tightening of regulation on informal e-waste recycling
sites (ER) but with disparate governance that requires effective monitoring.
Taking advantage of the opportunity to implement e-waste control in
the Guiyu ER since 2015, we investigated the temporal variations in
levels of oxidative DNA damage, 25 volatile organic compound metabolites
(VOCs), and 16 metals/metalloids (MeTs) in urine in 918 children between
2016 and 2021 to demonstrate the effectiveness of e-waste control
in reducing population exposure risks. The hazard quotients of most
MeTs and levels of 8-hydroxy-2′-deoxyguanosine in children
decreased significantly during this time, indicating that e-waste
control effectively reduces the noncarcinogenic risks of MeT exposure
and levels of oxidative DNA damage. Using mVOC-derived indexes as
a feature, a bagging-support vector machine algorithm-based machine
learning model was constructed to predict the extent of e-waste pollution
(EWP). The model exhibited excellent performance with accuracies >97.0%
in differentiating between slight and severe EWP. Five simple functions
established using mVOC-derived indexes also had high accuracy in predicting
the presence of EWP. These models and functions provide a novel human
exposure monitoring-based approach for assessing e-waste governance
or the presence of EWP in other ERs.
“…Informal electronic waste (e-waste) recycling uses primitive techniques, without or with very little technology to retrieve valuable materials such as copper, silver, tin, and gold from old electrical and electronic products [ 1 ]. These informal recycling activities, such as open burning, which persist in developing countries, have led to the emission of pollutants of public health concern into the ambient environment [ 2 , 3 , 4 , 5 ]. E-waste workers and people living near e-waste sites are exposed to elevated levels of these pollutants compared to the general population.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, the Alaba International electronic market and Ikeja Computer Village in Nigeria are major destinations of shipped e-waste from Europe and the USA [ 16 , 17 ]. Previous studies have reported elevated levels of toxic metals, polycyclic aromatic hydrocarbons (PAHs), volatile organic compounds (VOCs), and particulate matter (PM) among e-waste workers compared to the general population [ 2 , 6 , 8 , 9 , 10 , 18 ].…”
Informal electronic waste (e-waste) recycling in Africa has become a major public health concern. This review examined studies that report on the association between e-waste exposure and adverse human health outcomes in Africa. The review was conducted following the updated version of the Preferred Items for Systematic Review and Meta-analysis (PRISMA 2020) statement checklist. We included papers that were original peer-reviewed epidemiological studies and conference papers, written in English, and reported on e-waste exposure among human populations and any health-related outcome in the context of Africa. Our results from the evaluation of 17 studies found an association between informal e-waste recycling methods and musculoskeletal disease (MSD) symptoms and physical injuries such as back pains, lacerations, eye problems, skin burns, and noise-induced hearing loss (NIHL). In addition, the generation and release of particulate matter (PM) of various sizes, and toxic and essential metals such as cadmium (Cd), lead (Pb), zinc (Zn), etc., during the recycling process are associated with adverse systemic intermediate health outcomes including cardiopulmonary function and DNA damage. This systematic review concludes that the methods used by e-waste recyclers in Africa expose them to increased risk of adverse health outcomes. However, there is a need for more rigorous research that moves past single pollutant analysis.
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