2014
DOI: 10.1016/j.foodchem.2013.10.014
|View full text |Cite
|
Sign up to set email alerts
|

Assessment of fruit juice authenticity using UPLC–QToF MS: A metabolomics approach

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

3
55
0
1

Year Published

2015
2015
2020
2020

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 111 publications
(62 citation statements)
references
References 12 publications
3
55
0
1
Order By: Relevance
“…To the best of our knowledge, such derivatives are unique within the plant kingdom in pineapple fruit and derived foodstuff [7,9,10,56,57]. Interestingly, S-coniferylglutathione (44) and another related GSH conjugate were previously prepared by in vitro oxidation of eugenol in the presence of GSH using horseradish peroxidase and murine peroxisomal enzymes, respectively [58,59].…”
Section: Phenolic Pattern Of Different Fruit Tissuesmentioning
confidence: 99%
“…To the best of our knowledge, such derivatives are unique within the plant kingdom in pineapple fruit and derived foodstuff [7,9,10,56,57]. Interestingly, S-coniferylglutathione (44) and another related GSH conjugate were previously prepared by in vitro oxidation of eugenol in the presence of GSH using horseradish peroxidase and murine peroxisomal enzymes, respectively [58,59].…”
Section: Phenolic Pattern Of Different Fruit Tissuesmentioning
confidence: 99%
“…However, it is difficult to determine the geographical origins of food resources by their external appearances. Since the metabolite profiles of certain food resources can differ depending on their geographical origins, metabolomics can be useful for determining their authenticity and traceability [14][15][16]. For example, the discrimination of geographical origins is particularly important for foods such as coffee [17], green tea [18], ginseng [19], grape [20], cheese, milk [21,22] and cattle [23].…”
Section: Metabolomics For Food Resource Productionmentioning
confidence: 99%
“…In a recent study, Jandrić et al [51] worked on identifying the possible adulteration of different fruit juices with cheaper alternatives; for this objective, they utilized an untargeted metabolite fingerprinting approach using an UPLC-QToF-MS platform. Their first results allowed them to identify 21 metabolites that were useful for recognizing adulterated juices down to a level of 1% adulteration.…”
Section: Study Of Plant-based Products Through the Use Of Metabolomentioning
confidence: 99%