Optimization of double boiling condition for kelulut honey processing using response surface methodology

This study was conducted to investigate the combined effects of temperature and time of double boiling treatment on the quality of Kelulut honey using Response Surface Methodology (RSM). Three-level factorial design employed nine runs with duplicates under different combination of temperature (30 –...

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Main Authors: A. Rahman, Atikah, M. Fauzi, Akhmazillah, Razali, Faiz
Format: Article
Language:English
Published: AIDIC-Italian Association of Chemical Engineering 2018
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Online Access:http://eprints.uthm.edu.my/2840/1/AJ%202019%20%2840%29.pdf
http://eprints.uthm.edu.my/2840/
https://www.cetjournal.it/index.php/cet/article/view/CET1863128
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Institution: Universiti Tun Hussein Onn Malaysia
Language: English
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spelling my.uthm.eprints.28402021-11-15T06:42:08Z http://eprints.uthm.edu.my/2840/ Optimization of double boiling condition for kelulut honey processing using response surface methodology A. Rahman, Atikah M. Fauzi, Akhmazillah Razali, Faiz QA273-280 Probabilities. Mathematical statistics This study was conducted to investigate the combined effects of temperature and time of double boiling treatment on the quality of Kelulut honey using Response Surface Methodology (RSM). Three-level factorial design employed nine runs with duplicates under different combination of temperature (30 – 60 °C) and time (10 – 60 min) was developed. Quality of Kelulut honey in this experiment was analyzed under six parameters which are physicochemical properties (pH, moisture content, total solids, and total soluble solids), and nutritional properties (brown pigment and antioxidant activity). Statistical analysis revealed that treatment variables give coefficient of determination, R2 in the range of 46.21 % to 83.16 % that indicates an adequate to strong correlation between the experimental and predicted response values. As treatment temperature increases, total solids and total soluble solids increase while moisture content decreases. In addition, treatment conditions give significant effect on brown pigment along with highest R2 value (83.17 %). The optimal setting of the experimental factors has been determined by desirability approach at temperature of 60 °C with treatment time of 35 minutes. This study is currently a novel report on optimization of combined temperature and time of double boiling treatment which provides a new insight on Kelulut honey processing. AIDIC-Italian Association of Chemical Engineering 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/2840/1/AJ%202019%20%2840%29.pdf A. Rahman, Atikah and M. Fauzi, Akhmazillah and Razali, Faiz (2018) Optimization of double boiling condition for kelulut honey processing using response surface methodology. Chemical Engineering Transactions, 63. pp. 763-768. ISSN 2283-9216 https://www.cetjournal.it/index.php/cet/article/view/CET1863128
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic QA273-280 Probabilities. Mathematical statistics
spellingShingle QA273-280 Probabilities. Mathematical statistics
A. Rahman, Atikah
M. Fauzi, Akhmazillah
Razali, Faiz
Optimization of double boiling condition for kelulut honey processing using response surface methodology
description This study was conducted to investigate the combined effects of temperature and time of double boiling treatment on the quality of Kelulut honey using Response Surface Methodology (RSM). Three-level factorial design employed nine runs with duplicates under different combination of temperature (30 – 60 °C) and time (10 – 60 min) was developed. Quality of Kelulut honey in this experiment was analyzed under six parameters which are physicochemical properties (pH, moisture content, total solids, and total soluble solids), and nutritional properties (brown pigment and antioxidant activity). Statistical analysis revealed that treatment variables give coefficient of determination, R2 in the range of 46.21 % to 83.16 % that indicates an adequate to strong correlation between the experimental and predicted response values. As treatment temperature increases, total solids and total soluble solids increase while moisture content decreases. In addition, treatment conditions give significant effect on brown pigment along with highest R2 value (83.17 %). The optimal setting of the experimental factors has been determined by desirability approach at temperature of 60 °C with treatment time of 35 minutes. This study is currently a novel report on optimization of combined temperature and time of double boiling treatment which provides a new insight on Kelulut honey processing.
format Article
author A. Rahman, Atikah
M. Fauzi, Akhmazillah
Razali, Faiz
author_facet A. Rahman, Atikah
M. Fauzi, Akhmazillah
Razali, Faiz
author_sort A. Rahman, Atikah
title Optimization of double boiling condition for kelulut honey processing using response surface methodology
title_short Optimization of double boiling condition for kelulut honey processing using response surface methodology
title_full Optimization of double boiling condition for kelulut honey processing using response surface methodology
title_fullStr Optimization of double boiling condition for kelulut honey processing using response surface methodology
title_full_unstemmed Optimization of double boiling condition for kelulut honey processing using response surface methodology
title_sort optimization of double boiling condition for kelulut honey processing using response surface methodology
publisher AIDIC-Italian Association of Chemical Engineering
publishDate 2018
url http://eprints.uthm.edu.my/2840/1/AJ%202019%20%2840%29.pdf
http://eprints.uthm.edu.my/2840/
https://www.cetjournal.it/index.php/cet/article/view/CET1863128
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