刊名:Journal of Experimental Marine Biology and Ecology
出版年:2017
出版时间:January 2017
年:2017
卷:486
期:Complete
页码:59-68
全文大小:653 K
卷排序:486
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