2023
DOI: 10.1016/j.foodchem.2022.134529
|View full text |Cite
|
Sign up to set email alerts
|

Comparative metabolomics of Himalayan crab apple (Malus baccata) with commercially utilized apple (Malus domestica) using UHPLC-QTOF-IMS coupled with multivariate analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
5
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 7 publications
(5 citation statements)
references
References 37 publications
0
5
0
Order By: Relevance
“…Data mining is a popular method for evaluating interactions between different datasets, particularly in phytochemical studies where it can help identify the compound(s) responsible for reported biological activities [62, 63]. In our study, we performed multivariate analysis to determine interactions between the tested biological activities as well as the extraction methods.…”
Section: Resultsmentioning
confidence: 99%
“…Data mining is a popular method for evaluating interactions between different datasets, particularly in phytochemical studies where it can help identify the compound(s) responsible for reported biological activities [62, 63]. In our study, we performed multivariate analysis to determine interactions between the tested biological activities as well as the extraction methods.…”
Section: Resultsmentioning
confidence: 99%
“…In the case of Nasturtium, five flavonoid glycosides, five phenolic acids, one flavanone, one flavone, and one phenolic aldehyde were identified (Table 3, Figure S2). Five phenolic acids (peaks 12, 13, 18 tively. Among flavonoid glycosides (peaks 17, 20, 22, 23, and 24), quercetin pentoside, cyanidin hexosyl deoxyhexoside, delphinidin dihexoside, HHDP-galloyl hexoside, and cyanidin-(malonylhexosyl)-hexoside were identified (Table 3).…”
Section: Uhplc-qtof-ims-based Quantification Of Phenolics and Flavono...mentioning
confidence: 99%
“…13,17 Metabolomics is an evolving and widely deployed omics tool for quantifying and analyzing the distribution of different metabolites. 18 In the present study, we evaluated the phytochemical composition of selected edible flowers using both targeted and non-targeted metabolomics approaches and identified several metabolites that could find use as marker compounds and understood the distribution of a different class of metabolites that were earlier not identified or reported. Further, the determination of the bioaccessibility of phytochemicals from edible flowers is important, as the gastrointestinal environment can change the structures and biological characteristics of polyphenols, thus affecting their bioactivity.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Conversely, the integration of web-based computing tools and food science has introduced innovative methodologies in flavor research that facilitate the exploration of metabolite structural characteristics and enable early detection of potential key flavor indicators in conjunction with omics technologies. Non-targeted metabolomics techniques, particularly ultra-high-performance liquid chromatography coupled with time-of-flight mass spectrometry (UHPLC-Q-TOF-MS), have recently gained significant popularity for identifying essential food metabolites [6][7][8][9] . Metabolomics studies typically rely on in-house or public databases for metabolite annotation.…”
Section: Introductionmentioning
confidence: 99%