Suitability of log-linear models to evaluate the microbiological quality of baby clams (Chamelea gallina L.) harvested in the Adriatic Sea.

The presence of fecal coliforms or Escherichia coli in baby clams (Chamelea gallina L.) is considered an indicator related to their safety because they can be correlated with the presence of pathogenic bacteria. For this reason the Italian regulation has defined limits for these microorganisms. The presence of these microbial indicators is dependent on various environmental variables. In this work all the variables considered are categorical and, consequently, the traditional approach of predictive microbiology was not applicable. The data were summarized by means of a cross-tabulation and analyzed using the log-linear model technique. This statistical technique is widely used in social and economic studies but only partially developed in food microbiology. The suitability of the log-linear model to analyse microbiological data in relation to environmental variables was evaluated. In particular, the microbiological quality of baby clams harvested in five different areas of the Adriatic Sea coast in Emilia Romagna (Italy) was considered. The influence of the season and geographical origin on microbiological standards was assessed. A logit model was developed to predict the frequencies, depending on geographical origin and season, of samples with concentrations of the indicator organisms below or above the legal standards provided by Italian regulation.