“…In particular, with the high sensitivity and the selectivity of MS-based technologies, food constituents can be detected at trace levels (e.g., fmol). Composition analyses by MS-based metabolomics have been performed extensively for a large number of natural foods, including barley, potato cultivars, honey and olive oil [25][26][27][28], processed foods, such as ketchups, green tea and pasta [29][30][31][32], geneticallymodified crops, including transgenic potato, maize and soybean [15,[33][34][35], beverages, such as milk, wine and beer [36][37][38][39][40] and aquatic products, such as fish, shrimp, shark meat and mackerel [41,42]. Taking milk as an example, characterizing the composition, especially milk from different species, is important for uncovering the role of milk in food and health, as milk is the only bio-material to nourish and to sustain infant mammals.…”