Proximate and mineral composition of some processed traditional and popular Indian dishes

Citation
Nn. Prasad et al., Proximate and mineral composition of some processed traditional and popular Indian dishes, FOOD CHEM, 68(1), 2000, pp. 87-94
Citations number
31
Categorie Soggetti
Food Science/Nutrition
Journal title
FOOD CHEMISTRY
ISSN journal
03088146 → ACNP
Volume
68
Issue
1
Year of publication
2000
Pages
87 - 94
Database
ISI
SICI code
0308-8146(200001)68:1<87:PAMCOS>2.0.ZU;2-N
Abstract
Proximate and mineral composition of 30 different traditional and popular I ndian foods, categorised as either ready-to-eat or easy-to-reconstitute or freeze dried products have been evaluated. Of the 30 products, the proximal score of eleven and mineral composition of two items have been reported re cently, elsewhere. The various products employed for the present study incl ude vegetable pulav, dehydrated pulses/curries, upma, mutton/chicken curry, which form part of main meals, and certain fruit beverage powders of pinea pple, mangoes and grapes. All the products, tested for their shelf stabilit y (minimum of 6-12 months at ambient conditions) and microbiological safety , have been found to provide approximately 350-660 kcals 100 g(-1) (on mois ture-free-basis), depending on the type of product. The pulse, meat/chicken items were found to be protein-rich. Fat content in all the products varie d, depending on the amount of hydrogenated oil used in their preparations. However, the fruit-based products contained negligible amounts of both prot ein and fat. The various minerals and trace elements analysed, include sodi um, potassium, calcium, magnesium, phosphorus, iron, zinc, copper, manganes e, aluminium and lead. The elemental composition of each of the products va ried with the different ingredients going into their preparation. However, it is noteworthy, that contaminants such as lead and aluminium are present in quantities well below the limits prescribed by standard institutions suc h as PFA and ASC. The nutrient database generated hitherto, while suggestin g that the products are nutritionally good/safe, also enables nutrient-labe lling of the products. Further, it helps the nutritionists and food planner s to formulate different diets to meet the varied needs of the consumer. (C ) 1999 Elsevier Science Ltd. All rights reserved.