α-amylase from white pitaya (Hylocereus undatus L.) peel: optimization of extraction using full factorial design
Introduction. Amylase is a significant enzyme with numerous commercial applications, which is largely used to convert starches into oligosaccharides. Extraction of amylase from plant by-products or cheap sources is cost-effective. Annually, pitaya fruit juice industry produces huge amounts of peels...
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Kemerovo State University
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doaj-2eab97d7499a46bebc2e35b26429e77b2021-05-19T07:24:09ZengKemerovo State UniversityFoods and Raw Materials2308-40572310-95992021-04-0191798610.21603/2308-4057-2021-1-79-86α-amylase from white pitaya (Hylocereus undatus L.) peel: optimization of extraction using full factorial designZahra Shad0https://orcid.org/0000-0001-8621-7451Hamed Mirhosseini1https://orcid.org/0000-0001-5538-0205Mahsa Motshakeri2https://orcid.org/0000-0002-8441-335XMohammad Reza Sanjabi3https://orcid.org/0000-0002-5364-8201Anis Shobirin Meor Hussin4https://orcid.org/0000-0002-9702-8856Universiti Putra Malaysia, Serdang, MalaysiaUniversiti Putra Malaysia, Serdang, MalaysiaThe University of Auckland, Auckland, New ZealandIranian Research Organization for Science and Technology, Tehran, IranUniversiti Putra Malaysia, Serdang, MalaysiaIntroduction. Amylase is a significant enzyme with numerous commercial applications, which is largely used to convert starches into oligosaccharides. Extraction of amylase from plant by-products or cheap sources is cost-effective. Annually, pitaya fruit juice industry produces huge amounts of peels that could be utilized as an alternative source in enzyme production industry. The work aimed to examine and optimize extraction process. Study objects and methods. In this study, we investigated parameters of extraction to optimize the process, as well as activity of α-amylase from white pitaya fruit (Hylocereus undatus L.) peel. For this purpose, a two-level full factorial design was applied. Three variables, namely the pH of sodium phosphate buffer (X1, 4.5–7.5), mixing time (X2, 1–3 min), and a sample-to-buffer ratio (X3, 1:3–1:5), were used to identify significant effects and interactions within the samples. Results and discussion. The results demonstrated that the buffer pH had the most significant (P ≤ 0.05) effect on total amylase activity. Based on full factorial design analysis, we revealed the optimal conditions for amylase enzyme extraction ‒ pH of 6, mixing time of 2 min, and a sample-to-buffer ratio of 1:4. Lower and higher values influenced adversely on specific activity of amylase. Conclusion. Optimization increased the enzyme specific activity by a factor of 4.5. Thus, pitaya peel could be used in different industries as a rich natural α-amylase source.http://jfrm.ru/files/archive/17/Shad.pdfextractionpeelwhite pitayaenzymeoptimizationfull factorial designspecific activity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zahra Shad Hamed Mirhosseini Mahsa Motshakeri Mohammad Reza Sanjabi Anis Shobirin Meor Hussin |
spellingShingle |
Zahra Shad Hamed Mirhosseini Mahsa Motshakeri Mohammad Reza Sanjabi Anis Shobirin Meor Hussin α-amylase from white pitaya (Hylocereus undatus L.) peel: optimization of extraction using full factorial design Foods and Raw Materials extraction peel white pitaya enzyme optimization full factorial design specific activity |
author_facet |
Zahra Shad Hamed Mirhosseini Mahsa Motshakeri Mohammad Reza Sanjabi Anis Shobirin Meor Hussin |
author_sort |
Zahra Shad |
title |
α-amylase from white pitaya (Hylocereus undatus L.) peel: optimization of extraction using full factorial design |
title_short |
α-amylase from white pitaya (Hylocereus undatus L.) peel: optimization of extraction using full factorial design |
title_full |
α-amylase from white pitaya (Hylocereus undatus L.) peel: optimization of extraction using full factorial design |
title_fullStr |
α-amylase from white pitaya (Hylocereus undatus L.) peel: optimization of extraction using full factorial design |
title_full_unstemmed |
α-amylase from white pitaya (Hylocereus undatus L.) peel: optimization of extraction using full factorial design |
title_sort |
α-amylase from white pitaya (hylocereus undatus l.) peel: optimization of extraction using full factorial design |
publisher |
Kemerovo State University |
series |
Foods and Raw Materials |
issn |
2308-4057 2310-9599 |
publishDate |
2021-04-01 |
description |
Introduction. Amylase is a significant enzyme with numerous commercial applications, which is largely used to convert starches into oligosaccharides. Extraction of amylase from plant by-products or cheap sources is cost-effective. Annually, pitaya fruit juice industry produces huge amounts of peels that could be utilized as an alternative source in enzyme production industry. The work aimed to examine and optimize extraction process.
Study objects and methods. In this study, we investigated parameters of extraction to optimize the process, as well as activity of α-amylase from white pitaya fruit (Hylocereus undatus L.) peel. For this purpose, a two-level full factorial design was applied. Three variables, namely the pH of sodium phosphate buffer (X1, 4.5–7.5), mixing time (X2, 1–3 min), and a sample-to-buffer ratio (X3, 1:3–1:5), were used to identify significant effects and interactions within the samples.
Results and discussion. The results demonstrated that the buffer pH had the most significant (P ≤ 0.05) effect on total amylase activity. Based on full factorial design analysis, we revealed the optimal conditions for amylase enzyme extraction ‒ pH of 6, mixing time of 2 min, and a sample-to-buffer ratio of 1:4. Lower and higher values influenced adversely on specific activity of amylase.
Conclusion. Optimization increased the enzyme specific activity by a factor of 4.5. Thus, pitaya peel could be used in different industries as a rich natural α-amylase source. |
topic |
extraction peel white pitaya enzyme optimization full factorial design specific activity |
url |
http://jfrm.ru/files/archive/17/Shad.pdf |
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