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Statistical optimisation for the formulation of edible bird nest-based instant soup using Response Surface Methodology (RSM) / Mohamad Haziq Aiman Ismail … [et al.]

Scientifically, edible bird nest (EBN) contains protein, carbohydrate, fat, and bioactive compounds that can boost the human immune system, strengthen bones, and improve skin complexion. The inclusion of EBN as the main ingredient in instant soup mix can provide an accomplished nutritional meal with...

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Main Authors: Ismail, Mohamad Haziq Aiman, Osman, Mohamed Syazwan, Khairudin, Khairunnisa, Zainon, Mohammad Faizal, Mohd Eusoff, Abdul Fattah, Zubli, Quzaimer
Format: Article
Language:English
Published: Universiti Teknologi MARA Shah Alam 2022
Online Access:https://ir.uitm.edu.my/id/eprint/70369/1/70369.pdf
https://ir.uitm.edu.my/id/eprint/70369/
https://mjcetfkk.uitm.edu.my/
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spelling my.uitm.ir.703692022-11-16T07:22:15Z https://ir.uitm.edu.my/id/eprint/70369/ Statistical optimisation for the formulation of edible bird nest-based instant soup using Response Surface Methodology (RSM) / Mohamad Haziq Aiman Ismail … [et al.] Ismail, Mohamad Haziq Aiman Osman, Mohamed Syazwan Khairudin, Khairunnisa Zainon, Mohammad Faizal Mohd Eusoff, Abdul Fattah Zubli, Quzaimer Scientifically, edible bird nest (EBN) contains protein, carbohydrate, fat, and bioactive compounds that can boost the human immune system, strengthen bones, and improve skin complexion. The inclusion of EBN as the main ingredient in instant soup mix can provide an accomplished nutritional meal with protein, carbohydrates, fat, vitamin etc. The formulation of the main ingredients of EBN-based instant soup is statistically optimised using Response Surface Methodology (RSM) technique, with three main ingredients (i.e., EBN wt%, mushroom powder wt%, and skimmed milk wt%) as input factors meanwhile the antioxidant activity (%) of EBN-instant soup solution as the response. The antioxidant activity (%) is analysed using a standard DPPH (2,2-diphenyl-1-picryl-hydrazyl-hydrate) antioxidant assay. The optimised instant soup mix formulation contains 40 wt% EBN, 20 wt% mushroom powder, and 20 wt% skimmed milk with antioxidant activity of 85.35%. The response fit a linear model with a coefficient of determination (R2, 0.9734) and a standard deviation of 0.2. The model is significant with a p-value of < 0.0001which is below 0.0500. The model has been validated successfully with a maximum error of 5.32%. Universiti Teknologi MARA Shah Alam 2022-10 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/70369/1/70369.pdf Statistical optimisation for the formulation of edible bird nest-based instant soup using Response Surface Methodology (RSM) / Mohamad Haziq Aiman Ismail … [et al.]. (2022) Malaysian Journal of Chemical Engineering and Technology (MJCET), 5 (2): 9. pp. 115-122. ISSN 2682-8588 https://mjcetfkk.uitm.edu.my/
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description Scientifically, edible bird nest (EBN) contains protein, carbohydrate, fat, and bioactive compounds that can boost the human immune system, strengthen bones, and improve skin complexion. The inclusion of EBN as the main ingredient in instant soup mix can provide an accomplished nutritional meal with protein, carbohydrates, fat, vitamin etc. The formulation of the main ingredients of EBN-based instant soup is statistically optimised using Response Surface Methodology (RSM) technique, with three main ingredients (i.e., EBN wt%, mushroom powder wt%, and skimmed milk wt%) as input factors meanwhile the antioxidant activity (%) of EBN-instant soup solution as the response. The antioxidant activity (%) is analysed using a standard DPPH (2,2-diphenyl-1-picryl-hydrazyl-hydrate) antioxidant assay. The optimised instant soup mix formulation contains 40 wt% EBN, 20 wt% mushroom powder, and 20 wt% skimmed milk with antioxidant activity of 85.35%. The response fit a linear model with a coefficient of determination (R2, 0.9734) and a standard deviation of 0.2. The model is significant with a p-value of < 0.0001which is below 0.0500. The model has been validated successfully with a maximum error of 5.32%.
format Article
author Ismail, Mohamad Haziq Aiman
Osman, Mohamed Syazwan
Khairudin, Khairunnisa
Zainon, Mohammad Faizal
Mohd Eusoff, Abdul Fattah
Zubli, Quzaimer
spellingShingle Ismail, Mohamad Haziq Aiman
Osman, Mohamed Syazwan
Khairudin, Khairunnisa
Zainon, Mohammad Faizal
Mohd Eusoff, Abdul Fattah
Zubli, Quzaimer
Statistical optimisation for the formulation of edible bird nest-based instant soup using Response Surface Methodology (RSM) / Mohamad Haziq Aiman Ismail … [et al.]
author_facet Ismail, Mohamad Haziq Aiman
Osman, Mohamed Syazwan
Khairudin, Khairunnisa
Zainon, Mohammad Faizal
Mohd Eusoff, Abdul Fattah
Zubli, Quzaimer
author_sort Ismail, Mohamad Haziq Aiman
title Statistical optimisation for the formulation of edible bird nest-based instant soup using Response Surface Methodology (RSM) / Mohamad Haziq Aiman Ismail … [et al.]
title_short Statistical optimisation for the formulation of edible bird nest-based instant soup using Response Surface Methodology (RSM) / Mohamad Haziq Aiman Ismail … [et al.]
title_full Statistical optimisation for the formulation of edible bird nest-based instant soup using Response Surface Methodology (RSM) / Mohamad Haziq Aiman Ismail … [et al.]
title_fullStr Statistical optimisation for the formulation of edible bird nest-based instant soup using Response Surface Methodology (RSM) / Mohamad Haziq Aiman Ismail … [et al.]
title_full_unstemmed Statistical optimisation for the formulation of edible bird nest-based instant soup using Response Surface Methodology (RSM) / Mohamad Haziq Aiman Ismail … [et al.]
title_sort statistical optimisation for the formulation of edible bird nest-based instant soup using response surface methodology (rsm) / mohamad haziq aiman ismail … [et al.]
publisher Universiti Teknologi MARA Shah Alam
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/70369/1/70369.pdf
https://ir.uitm.edu.my/id/eprint/70369/
https://mjcetfkk.uitm.edu.my/
_version_ 1751540013278953472
score 13.211869

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