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Analysis of Food Pairing in Regional Cuisines of India

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 o...

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Autores principales: Jain, Anupam, N K, Rakhi, Bagler, Ganesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4592201/
https://www.ncbi.nlm.nih.gov/pubmed/26430895
http://dx.doi.org/10.1371/journal.pone.0139539
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author Jain, Anupam
N K, Rakhi
Bagler, Ganesh
author_facet Jain, Anupam
N K, Rakhi
Bagler, Ganesh
author_sort Jain, Anupam
collection PubMed
description 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.
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spelling pubmed-45922012015-10-09 Analysis of Food Pairing in Regional Cuisines of India Jain, Anupam N K, Rakhi Bagler, Ganesh PLoS One Research Article 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. Public Library of Science 2015-10-02 /pmc/articles/PMC4592201/ /pubmed/26430895 http://dx.doi.org/10.1371/journal.pone.0139539 Text en © 2015 Jain et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Jain, Anupam
N K, Rakhi
Bagler, Ganesh
Analysis of Food Pairing in Regional Cuisines of India
title Analysis of Food Pairing in Regional Cuisines of India
title_full Analysis of Food Pairing in Regional Cuisines of India
title_fullStr Analysis of Food Pairing in Regional Cuisines of India
title_full_unstemmed Analysis of Food Pairing in Regional Cuisines of India
title_short Analysis of Food Pairing in Regional Cuisines of India
title_sort analysis of food pairing in regional cuisines of india
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4592201/
https://www.ncbi.nlm.nih.gov/pubmed/26430895
http://dx.doi.org/10.1371/journal.pone.0139539
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