G-quadruplex based biosensors for the detection of food contaminants.


Journal

Critical reviews in food science and nutrition
ISSN: 1549-7852
Titre abrégé: Crit Rev Food Sci Nutr
Pays: United States
ID NLM: 8914818

Informations de publication

Date de publication:
2023
Historique:
medline: 2 11 2023
pubmed: 8 4 2022
entrez: 7 4 2022
Statut: ppublish

Résumé

G-quadruplex (G4) is a very interesting DNA structure, commonly associated with cancer and its treatment. With flexible binding ability, G4 has been extended as a significant component in biosensors. On account of its simple operation, high sensitivity and low cost, G4-based biosensors have attracted considerable interest for the detection of food contaminants. In this review, research published in recent 5 years is collated from a principle perspective, that is target recognition and signal transduction. Contaminants with G4 binding capacity are illustrated, emerging G4-based biosensors including colorimetric, electrochemical and fluorescent sensors are also elaborated. The current review indicates that G4 has provided an efficient and effective solution for the rapid detection of food contaminants. A distinctive feature of G4 as recognition unit is the simple composition, but the selectivity is still unsatisfactory. As signal reporter, G4/hemin DNAzyme has not only achieved amplified signals, but also enabled visualized detection, which offers great potential for on-site measurement. With improved selectivity and visualized signal, the combination of aptamer and G4 seems to be an ideal strategy. This promising combination should be developed for the real-time monitor of multiple contaminants in food matrix.

Identifiants

pubmed: 35389275
doi: 10.1080/10408398.2022.2059753
doi:

Substances chimiques

DNA 9007-49-2
DNA, Catalytic 0
Aptamers, Nucleotide 0

Types de publication

Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

8808-8822

Auteurs

Rong Du (R)

State Key Laboratory of Food Science and Technology, National Centre for Technology Innovation on Fast Biological Detection of Grain Quality and Safety, School of Food Science and Technology, Jiangnan University, Wuxi, China.

Xiebingqing Yang (X)

State Key Laboratory of Food Science and Technology, National Centre for Technology Innovation on Fast Biological Detection of Grain Quality and Safety, School of Food Science and Technology, Jiangnan University, Wuxi, China.

Ping Jin (P)

Suzhou Product Quality Supervision and Inspection Institute, Suzhou, China.

Yahui Guo (Y)

State Key Laboratory of Food Science and Technology, National Centre for Technology Innovation on Fast Biological Detection of Grain Quality and Safety, School of Food Science and Technology, Jiangnan University, Wuxi, China.
Engineering Research Center of Dairy Quality and Safety Control Technology (Ministry of Education), Inner Mongolia University, Inner Mongolia Autonomous Region, China.

Yuliang Cheng (Y)

State Key Laboratory of Food Science and Technology, National Centre for Technology Innovation on Fast Biological Detection of Grain Quality and Safety, School of Food Science and Technology, Jiangnan University, Wuxi, China.

Hang Yu (H)

State Key Laboratory of Food Science and Technology, National Centre for Technology Innovation on Fast Biological Detection of Grain Quality and Safety, School of Food Science and Technology, Jiangnan University, Wuxi, China.

Yunfei Xie (Y)

State Key Laboratory of Food Science and Technology, National Centre for Technology Innovation on Fast Biological Detection of Grain Quality and Safety, School of Food Science and Technology, Jiangnan University, Wuxi, China.
Engineering Research Center of Dairy Quality and Safety Control Technology (Ministry of Education), Inner Mongolia University, Inner Mongolia Autonomous Region, China.

He Qian (H)

State Key Laboratory of Food Science and Technology, National Centre for Technology Innovation on Fast Biological Detection of Grain Quality and Safety, School of Food Science and Technology, Jiangnan University, Wuxi, China.

Weirong Yao (W)

State Key Laboratory of Food Science and Technology, National Centre for Technology Innovation on Fast Biological Detection of Grain Quality and Safety, School of Food Science and Technology, Jiangnan University, Wuxi, China.

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Classifications MeSH