Detection, identification and determination of resveratrol in wine. Problems and challenges - Publication - Bridge of Knowledge

Search

Detection, identification and determination of resveratrol in wine. Problems and challenges

Abstract

Resveratrol is a compound synthesized by plants in response to unfavorable conditions of growth like mechanical injury, siege of bacteria or fungi and UV exposure. It is concentrated mostly in grapes skin and further more in the products made from grapes especially red wines. Each wine is characterized by different amount of given stilbene since its occurrence is affected by many factors like: types of grapes, environment (climate, soil, region) and winemaking technologies. Due to its health beneficial effects, people are very interested in resveratrol and its activity to deal with some diseases. Therefore, its determination and quantification is of high importance. However, the complexity of wine matrix makes its analysis very challenging. The study provides data of the resveratrol occurrence in different types of fruits and wines, regarding region they come from and comparison of analytical techniques and challenges taking into account their process and green assessment.

Citations

  • 4 0

    CrossRef

  • 0

    Web of Science

  • 3 9

    Scopus

Cite as

Full text

download paper
downloaded 823 times
Publication version
Accepted or Published Version
License
Creative Commons: CC-BY-NC-ND open in new tab

Keywords

Details

Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
TRAC-TRENDS IN ANALYTICAL CHEMISTRY no. 103, pages 21 - 33,
ISSN: 0165-9936
Language:
English
Publication year:
2018
Bibliographic description:
Fabjanowicz M., Płotka-Wasylka J., Namieśnik J.: Detection, identification and determination of resveratrol in wine. Problems and challenges// TRAC-TRENDS IN ANALYTICAL CHEMISTRY. -Vol. 103, (2018), s.21-33
DOI:
Digital Object Identifier (open in new tab) 10.1016/j.trac.2018.03.006
Verified by:
Gdańsk University of Technology

seen 163 times

Recommended for you

Meta Tags