Optimisation of Stingless Bee Honey Nanoemulsions Using Response Surface Methodology

Nanoemulsions (NEs) have been used in a wide range of products, such as those producedby the food, cosmetics, and pharmaceutical industries, due to their stability and long shelf life. Inthe present study, stingless bee honey (SBH) NEs were formulated using SBH, oleic acid, tween 80,glycerol, and do...

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Main Authors: Azri Shahir, Rozman, Norhashila, Hashim, Bernard, Maringgal, Khalina, Abdan
Format: Article
Language:English
Published: MDPI 2021
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Online Access:http://ir.unimas.my/id/eprint/38026/1/Optimisation%20of%20Stingless%20Bee%20Honey%20Nanoemulsions.pdf
http://ir.unimas.my/id/eprint/38026/
https://www.mdpi.com/2304-8158/10/9/2133
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Institution: Universiti Malaysia Sarawak
Language: English
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spelling my.unimas.ir.380262022-03-08T08:08:55Z http://ir.unimas.my/id/eprint/38026/ Optimisation of Stingless Bee Honey Nanoemulsions Using Response Surface Methodology Azri Shahir, Rozman Norhashila, Hashim Bernard, Maringgal Khalina, Abdan Q Science (General) SB Plant culture Nanoemulsions (NEs) have been used in a wide range of products, such as those producedby the food, cosmetics, and pharmaceutical industries, due to their stability and long shelf life. Inthe present study, stingless bee honey (SBH) NEs were formulated using SBH, oleic acid, tween 80,glycerol, and double-distilled water. SBH NEs were prepared using a high-pressure homogeniserand were characterised by observing their stability and droplet size. Fourier Transform-Infrared(FTIR) analysis was used to observe the functional groups of the SBH NEs after being subjected tohigh-pressure homogenisation. Transmission Electron Microscopy (TEM) images were then usedto confirm the particle size of the SBH NEs and to investigate their morphology. The effects ofthe independent variables (percentage of oleic acid, storage time, and storage temperature) on theresponse variables (particle size and polydispersity index) were investigated using the responsesurface methodology, along with a three-level factorial design. The results showed that the modelsdeveloped via the response surface methodology were reliable, with a coefficient of determination(R2) of more than 0.90. The experimental validation indicated an error of less than 10% in the actualresults compared to the predicted results. The FTIR analysis showed that SBH NEs have the samefunctional group as SBH. Observation through TEM indicated that the SBH NEs had a similar particlesize, which was between 10 and 100 nm. Thus, this study shows that SBH NEs can be developedusing a high-pressure homogeniser, which indicates a new direction for SBH by-products. MDPI 2021 Article PeerReviewed text en http://ir.unimas.my/id/eprint/38026/1/Optimisation%20of%20Stingless%20Bee%20Honey%20Nanoemulsions.pdf Azri Shahir, Rozman and Norhashila, Hashim and Bernard, Maringgal and Khalina, Abdan (2021) Optimisation of Stingless Bee Honey Nanoemulsions Using Response Surface Methodology. Foods, 10 (9). p. 2133. https://www.mdpi.com/2304-8158/10/9/2133 10.3390/foods10092133
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic Q Science (General)
SB Plant culture
spellingShingle Q Science (General)
SB Plant culture
Azri Shahir, Rozman
Norhashila, Hashim
Bernard, Maringgal
Khalina, Abdan
Optimisation of Stingless Bee Honey Nanoemulsions Using Response Surface Methodology
description Nanoemulsions (NEs) have been used in a wide range of products, such as those producedby the food, cosmetics, and pharmaceutical industries, due to their stability and long shelf life. Inthe present study, stingless bee honey (SBH) NEs were formulated using SBH, oleic acid, tween 80,glycerol, and double-distilled water. SBH NEs were prepared using a high-pressure homogeniserand were characterised by observing their stability and droplet size. Fourier Transform-Infrared(FTIR) analysis was used to observe the functional groups of the SBH NEs after being subjected tohigh-pressure homogenisation. Transmission Electron Microscopy (TEM) images were then usedto confirm the particle size of the SBH NEs and to investigate their morphology. The effects ofthe independent variables (percentage of oleic acid, storage time, and storage temperature) on theresponse variables (particle size and polydispersity index) were investigated using the responsesurface methodology, along with a three-level factorial design. The results showed that the modelsdeveloped via the response surface methodology were reliable, with a coefficient of determination(R2) of more than 0.90. The experimental validation indicated an error of less than 10% in the actualresults compared to the predicted results. The FTIR analysis showed that SBH NEs have the samefunctional group as SBH. Observation through TEM indicated that the SBH NEs had a similar particlesize, which was between 10 and 100 nm. Thus, this study shows that SBH NEs can be developedusing a high-pressure homogeniser, which indicates a new direction for SBH by-products.
format Article
author Azri Shahir, Rozman
Norhashila, Hashim
Bernard, Maringgal
Khalina, Abdan
author_facet Azri Shahir, Rozman
Norhashila, Hashim
Bernard, Maringgal
Khalina, Abdan
author_sort Azri Shahir, Rozman
title Optimisation of Stingless Bee Honey Nanoemulsions Using Response Surface Methodology
title_short Optimisation of Stingless Bee Honey Nanoemulsions Using Response Surface Methodology
title_full Optimisation of Stingless Bee Honey Nanoemulsions Using Response Surface Methodology
title_fullStr Optimisation of Stingless Bee Honey Nanoemulsions Using Response Surface Methodology
title_full_unstemmed Optimisation of Stingless Bee Honey Nanoemulsions Using Response Surface Methodology
title_sort optimisation of stingless bee honey nanoemulsions using response surface methodology
publisher MDPI
publishDate 2021
url http://ir.unimas.my/id/eprint/38026/1/Optimisation%20of%20Stingless%20Bee%20Honey%20Nanoemulsions.pdf
http://ir.unimas.my/id/eprint/38026/
https://www.mdpi.com/2304-8158/10/9/2133
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