The impact of environmental contamination on the generation of reactive oxygen and nitrogen species - consequences for plants and humans

Joanna Drzeżdżon , Dagmara Jacewicz , Lech Chmurzyński

Abstract

Environmental contaminants, such as heavy metals, nanomaterials, and pesticides, induce the formation of reactive oxygen and nitrogen species (RONS). Plants interact closely with the atmosphere, water, and soil, and consequently RONS intensely affect their biochemistry. For the past 30 years researchers have thoroughly examined the role of RONS in plant organisms and oxidative modifications to cellular components. Hydrogen peroxide, superoxide anion, nitrogen(II) oxide, and hydroxyl radicals have been found to take part in many metabolic pathways. In this review the various aspects of the oxidative stress induced by environmental contamination are described based on an analysis of literature. The review reinforces the contention that RONS play a dual role, that is, both a deleterious and a beneficial one, in plants. Environmental contamination affects human health, also, and so we have additionally described the impact of RONS on the coupled human – environment system.
Author Joanna Drzeżdżon PFZK
Joanna Drzeżdżon,,
- Laboratory of Physicochemistry of Coordination Complexes
, Dagmara Jacewicz PFZK
Dagmara Jacewicz,,
- Laboratory of Physicochemistry of Coordination Complexes
, Lech Chmurzyński PFZK
Lech Chmurzyński,,
- Laboratory of Physicochemistry of Coordination Complexes
Journal seriesEnvironment International, ISSN 0160-4120
Issue year2018
Vol119
Pages133-151
Publication size in sheets0.9
Keywords in Englishplant environment, oxidative stress, reactive oxygen and nitrogen species, environmental toxicology, nanomaterials
DOIDOI:10.1016/j.envint.2018.06.019
URL https://doi.org/10.1016/j.envint.2018.06.019
Languageen angielski
Score (nominal)45
ScoreMinisterial score = 45.0, 03-07-2018, ArticleFromJournal
Ministerial score (2013-2016) = 45.0, 03-07-2018, ArticleFromJournal
Publication indicators WoS Impact Factor: 2016 = 7.088 (2) - 2016=7.729 (5)
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