Jain Anupam, N K Rakhi, Bagler Ganesh
Center for System Science, Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan, India.
Center for Biologically Inspired System Science, Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan, India.
PLoS One. 2015 Oct 2;10(10):e0139539. doi: 10.1371/journal.pone.0139539. eCollection 2015.
Any national cuisine is a sum total of its variety of regional cuisines, which are the cultural and historical identifiers of their respective regions. India is home to a number of regional cuisines that showcase its culinary diversity. Here, we study recipes from eight different regional cuisines of India spanning various geographies and climates. We investigate the phenomenon of food pairing which examines compatibility of two ingredients in a recipe in terms of their shared flavor compounds. Food pairing was enumerated at the level of cuisine, recipes as well as ingredient pairs by quantifying flavor sharing between pairs of ingredients. Our results indicate that each regional cuisine follows negative food pairing pattern; more the extent of flavor sharing between two ingredients, lesser their co-occurrence in that cuisine. We find that frequency of ingredient usage is central in rendering the characteristic food pairing in each of these cuisines. Spice and dairy emerged as the most significant ingredient classes responsible for the biased pattern of food pairing. Interestingly while individual spices contribute to negative food pairing, dairy products on the other hand tend to deviate food pairing towards positive side. Our data analytical study highlighting statistical properties of the regional cuisines, brings out their culinary fingerprints that could be used to design algorithms for generating novel recipes and recipe recommender systems. It forms a basis for exploring possible causal connection between diet and health as well as prospection of therapeutic molecules from food ingredients. Our study also provides insights as to how big data can change the way we look at food.
任何一种国家美食都是其各种地方菜系的总和,而这些地方菜系是各自地区的文化和历史标识。印度拥有众多展示其烹饪多样性的地方菜系。在此,我们研究了来自印度八个不同地方菜系的食谱,这些菜系涵盖了不同的地理区域和气候条件。我们调查了食物搭配现象,该现象从两种食材共有的风味化合物角度来考察食谱中两种食材的兼容性。通过量化食材对之间的风味共享情况,在菜系、食谱以及食材对层面列举了食物搭配。我们的结果表明,每种地方菜系都遵循负面食物搭配模式;两种食材之间的风味共享程度越高,它们在该菜系中的同时出现频率就越低。我们发现食材的使用频率是形成这些菜系中特色食物搭配的关键因素。香料和乳制品成为导致食物搭配出现偏差模式的最重要食材类别。有趣的是,虽然单个香料会导致负面食物搭配,但乳制品另一方面却倾向于使食物搭配向正面方向偏离。我们的数据分析研究突出了地方菜系的统计特性,揭示了它们的烹饪特征,这些特征可用于设计生成新食谱的算法和食谱推荐系统。它为探索饮食与健康之间可能的因果联系以及从食物成分中寻找治疗性分子奠定了基础。我们的研究还提供了关于大数据如何改变我们看待食物方式的见解。