Physicochemical characterization of edible bird nest extract as functional ingredients in the instant soup application / Mohamad Haziq Aiman Ismail

Ismail, Mohamad Haziq Aiman (2022) Physicochemical characterization of edible bird nest extract as functional ingredients in the instant soup application / Mohamad Haziq Aiman Ismail. [Student Project] (Unpublished)

Abstract

Edible bird nest (EBN) is one of the natural resources that rich in functional properties such as protein and carbohydrate. However, recently, there is lack of study regarding to the EBN protein extraction. This is believed due to the lack of standardize protein extraction method. On top of that, the current work was caried out to compare the physicochemical characterization of EBN hydrolysate with different type of extraction method. Alkaline hydrolysis and heat extraction method are both methods that will be compared. Four type of analysis that will be operate is yield, viscosity, FTIR and DPPH assay. The viscosity for all the EBN samples were in the ranges of 2000 to 3000 mpa.s. This is believed due to the same type of drying method. The absorption spectrum shows the functional group that present in the EBN samples. A broad absorption band in the 3 267.22-3 275.29 cm-1 range was discovered and identified as hydrogen bonded (O-H) stretching vibration indicating the moisture content in the sample. Besides, at the peak that near to 1400 cm-1, the existence of polysaccharide group. Then, the formulation of EBN based instant soup would be done by using Response Surface Method (RSM). The design used to for this formulation is Centre Composite Design. EBN, mushroom powder, and skimmed milk percentage weight are the manipulated variable that will be the factor in this formulation. This formulation will be run by using Design Expert 13th edition software. After the optimization, the optimum condition to formulate EBN based instant soup with high value of antioxidant activity are 39.54% of EBN, 18.64% of mushroom powder and 18.96% of skimmed milk. The percentage error obtained from the predicted antioxidant activity by RSM compared to actual antioxidant value is 5.32% which less than 10 %. This shows that the model is valid to be used

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Ismail, Mohamad Haziq Aiman
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Osman, Mohamed Syazwan
UNSPECIFIED
Subjects: T Technology > TP Chemical technology
T Technology > TP Chemical technology > Biotechnology
T Technology > TP Chemical technology > Biotechnology > Processes, operations, and techniques
T Technology > TP Chemical technology > Biotechnology > Processes, operations, and techniques > Extraction
Divisions: Universiti Teknologi MARA, Pulau Pinang > Permatang Pauh Campus > Faculty of Chemical Engineering
Programme: Bachelor of Chemical Engineering (Environment) With Honours
Keywords: Edible bird nest (EBN), response surface method (RSM), hydrogen bonded (O-H)
Date: 2022
URI: https://ir.uitm.edu.my/id/eprint/67268
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