Směsi pesticidů v prostředí a hodnocení jejich účinků

BLÁHA, Luděk and Soňa SMETANOVÁ. Směsi pesticidů v prostředí a hodnocení jejich účinků (The mixtures of pesticides in the environment and assessing their effects). Rostlinolékař. Novotného lávka 5, 116 68 Praha 1: Česká společnost rostlinolékařská, 2014, vol. 14, No 6, p. 28-29. ISSN 1211-3565.

Basic information

• Original name: Směsi pesticidů v prostředí a hodnocení jejich účinků
• Name (in English): The mixtures of pesticides in the environment and assessing their effects
• Authors: BLÁHA, Luděk (203 Czech Republic, guarantor, belonging to the institution) and Soňa SMETANOVÁ (203 Czech Republic, belonging to the institution).
• Edition: Rostlinolékař, Novotného lávka 5, 116 68 Praha 1, Česká společnost rostlinolékařská, 2014, 1211-3565.

Other information

• Original language: Czech
• Type of outcome: Article in a journal
• Field of Study: 10511 Environmental sciences
• Country of publisher: Czech Republic
• Confidentiality degree: is not subject to a state or trade secret
• RIV identification code: RIV/00216224:14310/14:00079939
• Organization unit: Faculty of Science
• Keywords (in Czech): Pesticidy; ekotoxicita
• Keywords in English: Pesticedes; ekotoxicity
• Tags: AKR, rivok
• Tags: Reviewed

Abstract

Humans and ecosystems are continuously exposed to highly variable mixtures of chemicals (including pesticides) in all relevant matrices including water, air, soil, food but this is not properly addressed by current risk assessment approaches. The present paper illustrates the importance of chemical mixture assessment using the examples from both literature and own research studies demonstrating serious underestimation of risks if pesticides are considered on individual basis and not as mixtures. The paper reviews traditional as well as emerging approaches towards the RA of mixtures covering both the mechanistic tools (Mode of Action, MoA, or Adverse Outcome Pathways, AOP, concept) as well as complex models such as pesticide mixture ecotoxicity assessment using the Species Sensitivity Distributions, SSD.

Abstract (in English)

Humans and ecosystems are continuously exposed to highly variable mixtures of chemicals (including pesticides) in all relevant matrices including water, air, soil, food but this is not properly addressed by current risk assessment approaches. The present paper illustrates the importance of chemical mixture assessment using the examples from both literature and own research studies demonstrating serious underestimation of risks if pesticides are considered on individual basis and not as mixtures. The paper reviews traditional as well as emerging approaches towards the RA of mixtures covering both the mechanistic tools (Mode of Action, MoA, or Adverse Outcome Pathways, AOP, concept) as well as complex models such as pesticide mixture ecotoxicity assessment using the Species Sensitivity Distributions, SSD.

Links

• LO1214, research and development project: Name: Centrum pro výzkum toxických látek v prostředí (Acronym: RECETOX)

Investor: Ministry of Education, Youth and Sports of the CR