OECD Guidelines for the Testing of Chemicals, Section 2

Effects on Biotic Systems

English
ISSN: 
2074-5761 (online)
http://dx.doi.org/10.1787/20745761
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The OECD Guidelines for the Testing of Chemicals is a collection of about 150 of the most relevant internationally agreed testing methods used by government, industry and independent laboratories to identify and characterise potential hazards of chemicals. They are a set of tools for professionals, used primarily in regulatory safety testing and subsequent chemical and chemical product notification, chemical registration and in chemical evaluation. They can also be used for the selection and ranking of candidate chemicals during the development of new chemicals and products and in toxicology research. This group of tests covers effects on biotic systems.

Also available in French
 
Test No. 219: Sediment-Water Chironomid Toxicity Using Spiked Water

Test No. 219: Sediment-Water Chironomid Toxicity Using Spiked Water You or your institution have access to this content

English
Click to Access: 
    http://oecd.metastore.ingenta.com/content/9721901e.pdf
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Author(s):
OECD
23 Nov 2004
Pages:
21
ISBN:
9789264070288 (PDF)
http://dx.doi.org/10.1787/9789264070288-en

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This Test Guideline is designed to assess the effects of prolonged exposure of chemicals to the sediment-dwelling larvae of the freshwater dipteran Chironomus sp.

First instar chironomid larvae are exposed to at least five concentrations of the test chemical in sediment-water systems. The test starts by placing first instar larvae into the test beakers containing the sediment-water system and subsequently spiking the test substance into the water. Chironomid emergence and development rate is measured at the end of the test. The maximum exposure duration is 28 days for C. riparius, C. yoshimatsui, and 65 days for C. tentans. Larval survival and weight may also be measured after 10 days if required (using additional replicates as appropriate). The study report should include the development time and the total number of fully emerged midges (sex and number are recorded daily), the observation of any abnormal behaviour, the number of visible pupae that have failed to emerge and any egg masses deposition. The data are analysed either by using a regression model in order to estimate the concentration that would cause x % reduction in emergence, larvae survival or growth, or by using statistical hypothesis testing to determine a NOEC/LOEC.

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