Advanced search
505
Views
29
CrossRef citations to date
0
Altmetric
Papers

Effect of banana pulp and peel flour on physicochemical properties and in vitro starch digestibility of yellow alkaline noodles

, , , &
Pages 326-340
Published online: 21 Sep 2009

The present study describes the utilization of banana—Cavendish (Musa acuminata L., cv cavendshii) and Dream (Musa acuminata colla. AAA, cv ‘Berangan’)—pulp and peel flours as functional ingredients in yellow alkaline noodles. Noodles were prepared by partial substitution of wheat flour with ripe banana pulp or peel flours. In most cases, the starch hydrolysis index, predicted glycaemic index (pGI) and physicochemical properties of cooked noodles were affected by banana flour addition. In general, the pGI values of cooked noodles were in the order; banana peel noodles < banana pulp noodles < control noodles. Since the peel flour was higher in total dietary fibre but lower in resistant starch contents than the pulp flour, the low pGI of banana peel noodles was mainly due to its high dietary fibre content. In conclusion, banana pulp and peel flour could be useful for controlling starch hydrolysis of yellow noodles, even though some physicochemical properties of the noodles were altered.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
EUR 51.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
EUR 629.00 Add to cart

Purchase access via tokens

  • Choose from packages of 10, 20, and 30 tokens
  • Can use on articles across multiple libraries & subject collections
  • Article PDFs can be downloaded & printed
From EUR 400.00
per package
Learn more
* Local tax will be added as applicable
 

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.