This invention relates to the field of food
nutritional quality assessment technology, and discloses a method for predicting the lipid
nutritional quality of bivalve mollusks based on
climate change driving factors. The method includes: determining the family to which the bivalve mollusks to be predicted belong and their geographical region; obtaining the change values of
climate change driving factors in the region, including temperature,
aragonite saturation,
salinity, and dissolved
oxygen; determining the lipid
nutritional quality indicators to be assessed, and constructing a prediction model based on the correlation between the lipid nutritional quality indicators corresponding to different geographical regions and different bivalve mollusks and the change values of
climate change driving factors; substituting the obtained change values of climate change driving factors into the prediction model to calculate the predicted values; and assessing the lipid nutritional quality indicators of the bivalve mollusks to be predicted based on the predicted values and outputting the results. This invention reveals the response mechanism of mollusks'
lipid metabolism to climate factors, providing
objective data support for the
site selection assessment and suitable species screening for bivalve mollusks.