Characterization of a novel alkaline Arxula adeninivorans urate oxidase expressed in Escherichia coli and its application in reducing uric acid content of food.


Journal

Food chemistry
ISSN: 1873-7072
Titre abrégé: Food Chem
Pays: England
ID NLM: 7702639

Informations de publication

Date de publication:
30 Sep 2019
Historique:
received: 29 11 2018
revised: 27 04 2019
accepted: 28 04 2019
entrez: 2 6 2019
pubmed: 4 6 2019
medline: 14 8 2019
Statut: ppublish

Résumé

This study reported a novel highly active alkaline urate oxidase (UOX) and demonstrated its application in reducing uric acid content of food under alkaline conditions. The UOX gene was cloned from Arxula adeninivorans NBRC 10858, and its N-terminally his

Identifiants

pubmed: 31151609
pii: S0308-8146(19)30777-0
doi: 10.1016/j.foodchem.2019.04.112
pii:
doi:

Substances chimiques

Purines 0
Uric Acid 268B43MJ25
Urate Oxidase EC 1.7.3.3
purine W60KTZ3IZY

Types de publication

Journal Article

Langues

eng

Pagination

254-262

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Ran Zhang (R)

College of Light Industry and Food Engineering, Guangxi University, Nanning 530004, People's Republic of China.

Shi-Jue Gao (SJ)

College of Light Industry and Food Engineering, Guangxi University, Nanning 530004, People's Republic of China. Electronic address: gshijue@stu2018.jnu.edu.cn.

Chun-Yan Zhu (CY)

College of Light Industry and Food Engineering, Guangxi University, Nanning 530004, People's Republic of China.

Yu Sun (Y)

College of Light Industry and Food Engineering, Guangxi University, Nanning 530004, People's Republic of China.

Xiao-Ling Liu (XL)

College of Light Industry and Food Engineering, Guangxi University, Nanning 530004, People's Republic of China.

Mou-Ming Zhao (MM)

College of Light Industry and Food Engineering, Guangxi University, Nanning 530004, People's Republic of China. Electronic address: zmmgxu@gxu.edu.cn.

Cheng-Hua Wang (CH)

College of Light Industry and Food Engineering, Guangxi University, Nanning 530004, People's Republic of China. Electronic address: chwang@gxu.edu.cn.

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Classifications MeSH