LINEAR ALKYLBENZENE SULFONATE (LAS) - UNEP Chemicals

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OECD SIDS LINEAR ALKYLBENZENE SULFONATE (LAS) Available Chronic Data Distribution Cumulative Probability Original VdP Values Cumulative Probability 1.0 0.8 0.6 0.4 0.2 0.0 1.0 0.8 0.6 0.4 0.2 0.0 LAS Microcystis Tilapia Lemna Lepomis Selenastru, 0.01 0.10 1.00 10.00 100.00 Original VdP Microcystis Oncorhynchus NOEC (mg/L) NOEC (mg/L) Ceriodaphnia Tilapia mossambica, dossier 4.5.1e Daphnia Pimephales Ceriodaphnia Plectonema Chlamydomonas Brachydanio rerio, dossier 4.5.1a Daphnia magna, dossier 4.5.2b Pimephales promelas, dossier 4.5.1b Elodea Partanytarsus Chironomus Poecilia reticulate, dossier 4.5.1c Chironomus riparius, dossier 4.5.2m Scenedesmus Scenedesmus subspicatus, dossier 4.3f Selenastrum capricronutum, dossier 4.3a Chlorella kessleri, dossier 4.3r Paratanytarsus parthenogenica, dossier 4.5.2g 0.01 0.10 1.00 10.00 100.00 1000.00 Compound Group Log-Logistic Calculation Statistical Parameters Intercept (u) Scale (sigma) (mean) Variability K-S Test p-value HC5 Available Chronic Values 0.279 0.5736 0.9756 0.244 Original VdP Values 0.911 0.6531 0.8655 0.363 UNEP PUBLICATIONS 104
OECD SIDS LINEAR ALKYLBENZENE SULFONATE (LAS) Discussion The HC5 values for LAS are considered to be valid estimates of the NOEC since all three meet the OECD criteria for statistical extrapolation methods (OECD 2002). These include: 1) QSAR method – The approach used to normalize the NOEC data is clearly described (above). The approach is considered reliable because it’s application to LAS and other major surfactants is well documented in the scientific literature (Leo and Hansch 1979, Roberts 1991, van de Plassche et al. 1999). 2) Clear input data – Reliable NOEC values from freshwater single-species chronic studies are used as described in Table 12A of the SIAR and listed above. 3) Mode of action – LAS has a nonspecific mode of action described as “narcosis toxicity” (Roberts 1991). As expected from this mode of action, sensitivity of the tested species follows a log –normal and log-logistic distribution with a high degree of goodness of fit. The best fit of the data is to the log-logistic distribution. 4) Minimum species requirements – Represented species include fish, crustaceans, insects, a rotifer, algae, and higher plants. 5) Minimum sample size – The database consists of NOEC values on at least 12 freshwater species. 6) Use of multiple data for same species – In the van de Plassche et al. (1999) review, the geometric mean value is used for species with multiple values (number of species indicated in Table 12A). For the available data set, the geometric mean value of the valid studies is provided. 7) Statistical fitting procedure – The specified Kolmogorov-Smirnov test was used as described above. Goodness of fit across distributions (i.e. log-normal versus log-logistic) was compared using the Cramer-von Mises statistical test as described by Versteeg et al. (1999). 8) Estimation parameter – The reported value is as specified, the HC5 value with 50% confidence limits. 9) Estimation of NOEC – The HC5 values support the conclusion of the mesocosm studies that no uncertainty (assessment) factor is needed to determine the NOEC value for LAS. The NOEC for LAS is derived from the entire database of freshwater chronic data, including the HC5 values and the mesocosm data, as discussed in the SIAR, section 4.1 Aquatic Effects. UNEP PUBLICATIONS 105
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LINEAR ALKYLBENZENE SULFONATE (LAS) - UNEP Chemicals

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