yellow alkaline noodle
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Food Research ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 70-76
Author(s):  
Nur Azura Z. ◽  
Radhiah Shukri ◽  
Wan Zunairah Wan Ibadullah ◽  
Nurul Shazini R. ◽  
Nur Hanani Z.A. ◽  
...  

Mango peel comprises of 7-25% of mango fruit that contributes to the environmental pollution. Mango peel contains nutraceutical compounds that are useful as a functional ingredient to increase nutritional properties in Asian staple food, which in our case was yellow alkaline noodle. The objective of this research was to study the effect of mango peel powder at different levels (0%, 10%, 20%, and 30%) on the cooking, physicochemical and sensory properties of yellow alkaline noodles (YAN). Substitution of wheat flour with mango peel powder significantly increased 2 to 15 times fibre content in the YAN compared to control. Additionally, fat and carbohydrate were reduced by 8-45% and 6-25%, respectively. The lowest cooking quality was observed in YAN incorporated with 30% mango peel powder, which showed the highest cooking lost (20.45%) and the lowest cooking yield (163.7%). YAN with mango peel powder had decreased lightness (L*) and yellowness (b*). All of the texture profile was negatively affected by an increment of mango peel powder in YAN but showed no significant differences. Sensory attributes of YAN with the incorporation of mango peel powder up to 20% showed similar acceptance with the control. The YAN with 30% mango peel powder had significantly lower sensory acceptance of panelists than other YAN samples. The study suggests that mango peel powder substitution up to 20% is suitable to increase nutritional properties of YAN with minimal adverse effects on the cooking quality, textural properties and sensory attributes.



2019 ◽  
Vol 56 (4) ◽  
pp. 1801-1810
Author(s):  
Anissa Soraya ◽  
Shyan Yea Chay ◽  
Radhiah Shukri ◽  
Farinazleen Mohamad Ghazali ◽  
Kharidah Muhammad ◽  
...  


2012 ◽  
Vol 81 (2) ◽  
pp. 173-182
Author(s):  
Masato Taira ◽  
Naoto Nihei ◽  
Akari Endo ◽  
Yoshinori Taniguchi ◽  
Hidekazu Maejima ◽  
...  


2008 ◽  
Vol 85 (3) ◽  
pp. 425-432 ◽  
Author(s):  
D. W. Hatcher ◽  
N. M. Edwards ◽  
J. E. Dexter


2008 ◽  
Vol 77 (4) ◽  
pp. 449-456 ◽  
Author(s):  
Masaya Fujita ◽  
Masako Seki ◽  
Hitoshi Matsunaka ◽  
Chikako Kiribuchi-Otobe ◽  
Ado Hiwatashi ◽  
...  


2003 ◽  
Vol 83 (1) ◽  
pp. 11-21 ◽  
Author(s):  
D. W. Hatcher ◽  
M. J. Anderson ◽  
R. M. Clear ◽  
D. G. Gaba ◽  
J. E. Dexter

Composite samples of Canada Western Red Winter wheat (CWRW) with varying levels of Fusarium head blight damage (0.5–9.6%) were prepared from the 1998 Western Canadian harvest survey and milled to yield both patent (60% extraction) and straight grade (~76%) flours. The mycotoxin deoxynivalenol (DON) levels in the flours ranged from 0.21 to 2.6 ppm with no significant influence due to flour extraction. No differences were attributable to Fusarium damage (FD) in the amount of work required to sheet either yellow alkaline (YA) or white salted (WS) noodles. The color of the raw (YA) noodles was adversely affected by FD as a significant loss in noodle brightness (L*) and an increase in redness (a*) were observed for noodles prepared from both patent and straight grade flour. Straight grade YA noodles, prepared from wheat with FD levels above acceptable limits for milling grades, displayed a significant loss in yellowness (b*) after aging for 24 h. Differences in noodle brightness of raw WS noodles were observed between the control and 9.6% FD samples for both patent and straight grade noodles at 24 h. Analysis of YA and WS noodles indicated a significant linear relationship between the number of specks and the quantity of FD in the wheat. YA and WS noodles displayed significant loss in cooked noodle texture with increasing FD levels. Maximum cutting stress and recovery declined with increasing FD for both noodle types whether made from patent or straight grade flour. Maximum wheat FD tolerances below 2% are required in order to ensure optimum noodle quality. Key words: Fusarium damage, noodles, color, texture and image analysis



1994 ◽  
Vol 46 (8) ◽  
pp. 292-299 ◽  
Author(s):  
Christine M. Konik ◽  
Lene M. Mikkelsen ◽  
Ray Moss ◽  
Peter J. Gore


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