2013
DOI: 10.1016/j.chemosphere.2012.08.053
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Chemical characterization of organic microcontaminant sources and biological effects in riverine sediments impacted by urban sewage and pulp mill discharges

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Cited by 38 publications
(19 citation statements)
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“…These results may be associated with recalcitrant compounds remaining in the STE, such as phytosterols, because of which chronic toxicity has been found in effluent discharge in concentrations between 0.16 and 0.33 mg/L for β-sitosterol, 0.02-0.07 mg/L for stigmasterol, and 0.06 mg/L for campesterol [4,5]. These effluents are a potential source of chronic toxicity in aquatic ecosystems because they are associated with particles or dissolved organic matter and sediment [35,36].…”
Section: Resultsmentioning
confidence: 97%
“…These results may be associated with recalcitrant compounds remaining in the STE, such as phytosterols, because of which chronic toxicity has been found in effluent discharge in concentrations between 0.16 and 0.33 mg/L for β-sitosterol, 0.02-0.07 mg/L for stigmasterol, and 0.06 mg/L for campesterol [4,5]. These effluents are a potential source of chronic toxicity in aquatic ecosystems because they are associated with particles or dissolved organic matter and sediment [35,36].…”
Section: Resultsmentioning
confidence: 97%
“…While these values are clearly higher than the maximum observed concentration of pharmaceuticals in the samples, they are not uncommon in environmental samples. AhR ligands have been detected in both wastewaters and superficial waters . Therefore, their removal from brines and wastewaters in general by the oxidation procedure is an interesting result, as they are not eliminated (at least, not completely) by standard secondary treatment procedures.…”
Section: Resultsmentioning
confidence: 99%
“…KILULYA et al (2014) investigam a relação da quantidade de extrativos com localização, espécies, material genético e tamanho das árvores, através da utilização do PCA. Particularmente no ramo de celulose e papel, vários pesquisadores têm aplicado a técnica do PCA para determinar padrões em dados e expressá-los de maneira a evidenciar suas semelhanças e diferenças (RAINER et al, 2013;GUAZZOTTI et al, 2014;CHAMORRO et al, 2013;KILULYA et al, 2014;LTIFI et al, 2017). Apenas KILULYA et al (2014), entretanto, abordam a questão dos extrativos.…”
Section: Introductionunclassified