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Physicochemical surface properties of microalgae and their combined effects on particle selection by suspension-feeding bivalve molluscs
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文摘
Surface properties of microalgae were characterized and used to develop particle selection assays for mussels and oysters Results were modeled with microalgal surface characteristics to determine important predictors of particle selection A discriminant analysis predicted selection 58% of the time in mussels, and 57% in oysters Multiple regressions demonstrated microalgal-lectin affinity and wettability were the strongest predictors of selection Regression models explained ca. 90% of the variability in electivity index for mussels and 94% for oysters

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