Results 91 to 100 of about 7,256 (182)

Toxicological Legacy of Polycyclic Aromatic Hydrocarbons from a Tire Fire-Urban Soil Contamination and Cancer Risk Assessment. [PDF]

Toxics
Pająk K, Trawińska A, Łapicz M, Reindl AR.   +3 more
europepmc   +1 more source

Evaluation of risks associated with PAHs, pesticides, and heavy metals in the red sea at Jazan harbors and nearby marine regions including halophile analysis. [PDF]

Sci Rep
Alnashiri HM, Areshi S, El-Shabasy A.
europepmc   +1 more source

Effect of preparation method and edible oil type on the formation of PAHs in popcorns. [PDF]

Sci Rep
Kiralan M, Toptanci İ, Kiralan S, Ketenoglu O.   +3 more
europepmc   +1 more source

Evaluating the Role of Roadside Green Belts in Mitigating Particulate Matter-Bound Polycyclic Aromatic Hydrocarbon Pollution. [PDF]

Environ Health Insights
Rezai H, Rahmani-Sani A, Lotfi H, Eskandari M, Najafi ML, Miri M.   +5 more
europepmc   +1 more source

Carcinogenic PAHs (BaP and PAH4) in Breast Milk: Dietary and Environmental Determinants Among Hungarian Mothers. [PDF]

Toxics
Dergez T, Collins AB, Szerencsés D, Szabó I, Wahr M, Kőnig-Péter A, Poór V.   +6 more
europepmc   +1 more source

Occurrence, Source Apportionment and Health Risk Potential of Polycyclic Aromatic Hydrocarbons (PAHs) in Urban Soils from Thessaloniki City (Northern Greece): A Case Study. [PDF]

Toxics
Bourliva A, Golia EE, Bakeas E, Koukoulakis K, Papadopoulos I.   +4 more
europepmc   +1 more source

Green-synthesized reduced graphene oxide@chitosan beads for the removal of polycyclic aromatic hydrocarbons. [PDF]

Environ Sci Pollut Res Int
de Farias MB, Rios AG, Ferreira AFP, Prediger P, Vieira MGA.   +4 more
europepmc   +1 more source

Impact of Oil Spill Stress on Amino Acid Abundance in <i>Heterosigma akashiwo</i>. [PDF]

Metabolites
Xue D, Su H, Yu J, Yang X, Li N, Chen S.
europepmc   +1 more source

Self-induced charge transfer activation enables metal-free C-H coupling of polycyclic aromatic hydrocarbons under photo irradiation. [PDF]

Chem Sci
Kurokawa K, Kohyama A, Kuroda Y, Tao-Kakuyama K, Takikawa H, Takasu K.   +5 more
europepmc   +1 more source

Predicting Aquatic Species Sensitivity Distributions Using Machine Learning in a Regulatory Setting. [PDF]

Chem Res Toxicol
Minnema J, Viljanen M, Rorije E, Peijnenburg WJGM, Wassenaar PNH.   +4 more
europepmc   +1 more source