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LINEAR ALKYLBENZENE SULFONATE (LAS) - UNEP Chemicals

LINEAR ALKYLBENZENE SULFONATE (LAS) - UNEP Chemicals

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OECD SIDS <strong>LINEAR</strong> <strong>ALKYLBENZENE</strong> <strong>SULFONATE</strong> (<strong>LAS</strong>)<br />

Remarks: Structure modeled is the pure C12 sodium salt homologue, 2-phenyl isomer,<br />

not the commercial material.<br />

Reference: USEPA. 2000. EPI Suite v3.10.<br />

Reliability: 2 Valid with restrictions. Standard EPA estimation software.<br />

(e)<br />

Log Pow: 3.42<br />

Method: Estimation: EPI Suite<br />

GLP: Yes [ ] No [X] ? [ ]<br />

Test Substance: C13 <strong>LAS</strong> (CAS #26248-24-8)<br />

Remarks: Structure modeled is the pure C13 sodium salt homologue, 2-phenyl isomer,<br />

not the commercial material.<br />

Reference: USEPA. 2000. EPI Suite v3.10.<br />

Reliability: 2 Valid with restrictions. Standard EPA estimation software.<br />

(f)<br />

Remarks: In its review of <strong>LAS</strong> and related compounds, IPCS notes that while the<br />

octanol-water partition coefficient can be calculated in practice, it is<br />

impossible to measure Pow for surface-active compounds like <strong>LAS</strong>. This has<br />

been confirmed by Roberts (2000).<br />

Reference: 1) IPCS. 1996. Environmental Health Criteria 169: Linear Alkylbenzene<br />

Sulfonates and Related Compounds. World Health Organization, Geneva,<br />

Switzerland.<br />

2) Roberts, D.W. 2000. Use of octanol/water partition coefficient as<br />

hydrophobicity parameters in surfactant science. 5 th World CESIO Congress<br />

2:1517-1524, May-June 2000, Firenze, Italy.<br />

(g)<br />

Methods: Acute lethal toxicity data for a range of anionic and non-ionic surfactants<br />

were analyzed with the objective of determining whether QSARs can be<br />

developed relating toxicity to calculated log P values. Approaches to dealing<br />

with the deficiencies in the Leo and Hansch (1979) fragment method for<br />

calculating log P of surfactants (related to mixtures and phenyl isomer<br />

position) were developed and applied to the general narcosis QSAR of<br />

Könemann (1981) as represented by Equation 1:<br />

Log (1/LC50) = 0.87log P + 1.13 (EQ 1)<br />

(for 14-d LC50 tests on guppies; n = 50, r = 0.998, s = 0.237)<br />

Mixtures<br />

Two approaches were taken in this paper to address mixtures. In the first<br />

approach, P was calculated for each component individually then multiplied<br />

by the mole fraction and summed to give a weighted average log P.<br />

Alternatively, when only the overall average composition was known, log P<br />

was calculated for the average structure.<br />

Phenyl isomer position<br />

Since the fragment method gives values for log P that are independent of<br />

branch (i.e., phenyl isomer) position, a position-dependent branch factor<br />

(PDBF) was defined. Branching results in a decrease in the number of water<br />

molecules required to solvate the hydrocarbon chain by allowing water<br />

molecules to be shared between the two branches. Where both branches are<br />

long the water sharing effect should continue, although to a decreasing extent<br />

with increasing distance from the branching position, as long as the branches<br />

can be paired. To model this, a water sharing function log (CP + 1) was<br />

<strong>UNEP</strong> PUBLICATIONS 124

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