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Biochemical monitoring of black raspberry (Rubus coreanus Miguel) fruits according to maturation stage by H-1 NMR using multiple solvent systems

Authors
Kim, Hee-SuPark, Shin JungHyun, Sun-HeeYang, Seung-OkLee, Jae HwiAuh, Joong HyuckKim, Jung HyunCho, Soo-MukMarriott, Philip J.Choi, Hyung Kyoon
Issue Date
Aug-2011
Publisher
ELSEVIER SCIENCE BV
Keywords
Black raspberry; Rubus coreanus Miquel; Metabolomics; H-1 NMR; Multivariate statistical analysis
Citation
FOOD RESEARCH INTERNATIONAL, v.44, no.7, pp 1977 - 1987
Pages
11
Journal Title
FOOD RESEARCH INTERNATIONAL
Volume
44
Number
7
Start Page
1977
End Page
1987
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/21384
DOI
10.1016/j.foodres.2011.01.023
ISSN
0963-9969
1873-7145
Abstract
Nuclear magnetic resonance (NMR) techniques coupled with multivariate data analysis were used to conduct monitoring of biochemical changes of black raspberry fruits at different stages of maturation and under various extraction and NMR dissolution solvent conditions: extraction with 50% methanol and D2O as an NMR dissolution solvent, extraction with 50% methanol and 50% methanol-d(4) as an NMR dissolution solvent, and extraction with 100% ethyl acetate and 100% methanol-d(4) as an NMR dissolution solvent. Partial least-squares discriminant analysis reliably distinguished black raspberry fruits according to the maturation stage, whereby the relative levels of various compounds such as amino acids, organic acids, sugars and phenolic compounds were compared using analysis of variance. Sucrose and most of the amino acids, and organic acids decreased, whereas fructose, glucose, and cyanidins increased in relative concentration according to maturation of black raspberry fruits. The total number and kinds of assigned compounds of the three solvent systems were also compared. This research demonstrates that the metabolic profile of black raspberry fruits changes during maturation, and provides objective criteria for determining the stage of black raspberry fruit maturation via a H-1 NMR-based metabolomics technique using multiple solvent systems. (C) 2011 Elsevier Ltd. All rights reserved.
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약학대학 (약학부)
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