A convenient and rapid method for detecting d-glucose in honey used smartphone.


Journal

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

Informations de publication

Date de publication:
30 Nov 2020
Historique:
received: 12 11 2019
revised: 20 03 2020
accepted: 12 06 2020
pubmed: 4 7 2020
medline: 21 10 2020
entrez: 4 7 2020
Statut: ppublish

Résumé

Information concerning food composition, including information on its glucose content, is essential for modern food industry due to greater consumer awareness and expectations. In this work, the gene encoding d-glucose dehydrogenase (GDH) from Bacillus Natto was expressed in Escherichia coli BL21(DE3) firstly. Ni-IDA column was used for the purification of GDH. Then, the purified GDH was used to construct a color system with stable and effective measurement of concentration of d-glucose. The smart phone photographing and the software Microsoft Photoshop have been used in the system for determination of the color. The enzymatic analysis system can detect the concentration of d-glucose from 5 mM to 40 mM, and other various sugars has no interference to the system. The system was used to quantitatively detect the concentration of d-glucose in honey. The system can be used for convenient and rapid detection of d-glucose in food, especially for large numbers of samples.

Identifiants

pubmed: 32619908
pii: S0308-8146(20)31210-3
doi: 10.1016/j.foodchem.2020.127348
pii:
doi:

Substances chimiques

Glucose 1-Dehydrogenase EC 1.1.1.47
Glucose IY9XDZ35W2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

127348

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Jie Ouyang (J)

Department of Bioengineering, Nanjing University of Science & Technology, Nanjing 210094, People's Republic of China.

Shujin Pu (S)

Department of Bioengineering, Nanjing University of Science & Technology, Nanjing 210094, People's Republic of China.

Xing Chen (X)

Department of Bioengineering, Nanjing University of Science & Technology, Nanjing 210094, People's Republic of China.

Chengli Yang (C)

Department of Bioengineering, Nanjing University of Science & Technology, Nanjing 210094, People's Republic of China.

Xuan Zhang (X)

Department of Bioengineering, Nanjing University of Science & Technology, Nanjing 210094, People's Republic of China.

Dali Li (D)

Department of Bioengineering, Nanjing University of Science & Technology, Nanjing 210094, People's Republic of China. Electronic address: lidali@njust.edu.cn.

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Classifications MeSH