التفاصيل البيبلوغرافية
| العنوان: |
Characterization of Starches from Some Selected White and Yellow Cassava Roots for Dry Starch Noodle Production. |
| المؤلفون: |
Akinde, Halimat Afolasade, Sanni, Lateef O., Shittu, Taofik Akinyemi, Adegunwa, Mojisola O., Abass, Adebayo, Awoyale, Wasiu |
| المصدر: |
Journal of Culinary Science & Technology; 2024, Vol. 22 Issue 5, p974-992, 19p |
| مصطلحات موضوعية: |
CASSAVA starch, FISHER discriminant analysis, MUNG bean, CHEMICAL properties, STARCH, NOODLES |
| مستخلص: |
Starch noodle, originally produced from mung bean starch, is now patronized in many parts of the world. Although cassava is one of the most abundant sources of starch in Nigeria, previous works determining its applicability for noodle production are scarce in literature. This study therefore determined the chemical properties of starches from selected white and yellow cassava for dry starch noodle production. Descriptive attributes and sensory acceptability of the starch noodle produced were also determined using commercial starch noodle as reference sample. Data obtained were subjected to analysis of variance using SPSS (version 21). Chemical properties of cassava starches varied significantly (p <.05). Using clustering and discriminant function analyses, two product clusters were identified with their distinct physical and sensory properties. This study showed that the most acceptable cassava starch noodles were obtained from TMS 01/1206 followed by TMS 01/1368, the least acceptable noodle was obtained from TME 419. [ABSTRACT FROM AUTHOR] |
|
Copyright of Journal of Culinary Science & Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
PDF full text from Publisher 
Full Text Finder