2018
DOI: 10.1016/j.dib.2018.02.033
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ESI-LC-MS based-metabolomics data of mangosteen (Garcinia mangostana Linn.) fruit pericarp, aril and seed at different ripening stages

Abstract: Fruit ripening is a complex phenomenon involving a series of biochemical, physiological and organoleptic changes. Ripening process in mangosteen (Garcinia mangostana Linn.) is unique of which the fruit will only ripen properly if harvested during its middle stage (emergence of purple/pink colour) but not earlier (green stage). The knowledge on the molecular mechanism and regulation behind this phenomenon is still limited. Hence, electrospray ionization liquid chromatography mass spectrometry (ESI-LC-MS) based … Show more

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Cited by 14 publications
(10 citation statements)
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“…Furthermore, the study also revealed the high abundance of secondary metabolites such as 2-aminoisobutyric acid and psicose at the end of ripening process, which are possibly implicated in prolonging the fruit shelf-life (Parijadi et al, 2018). LC-MS study has also been performed in mangosteen yet the full list of metabolites has not been released (Mamat et al, 2018b).…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the study also revealed the high abundance of secondary metabolites such as 2-aminoisobutyric acid and psicose at the end of ripening process, which are possibly implicated in prolonging the fruit shelf-life (Parijadi et al, 2018). LC-MS study has also been performed in mangosteen yet the full list of metabolites has not been released (Mamat et al, 2018b).…”
Section: Introductionmentioning
confidence: 99%
“…This analysis employed Dionex Ultimate 3000 UHPLC+ platform (Thermo Scientific) fitted with MicroTOF-QIII MS system (Bruker, Germany) with electrospray ion source (ESI) [5] , [6] . The adjustments for LC platform and MS systems follow Mazlan et al [1] .…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%
“…Raw data from MS were imported into ProfileAnalysis version 2.1 (Bruker, Germany). For bucketing, the parameters for Find Molecular Features follow Mamat et al [6] with smoothing width: 2. Bucket was generated with the following settings: retention time range (0.1–30.00 min), mass range (50–1000 m/z ), normalization (largest bucket value in analysis).…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%
“…This study adheres to Glauser et al [6] method with adjustments as detailed in [1] and [5] . Separation of compound utilizing liquid chromatography system (Ultimate 3000 UHPLC+, Thermo Scientific, USA) outfitted with a C18 column was performed as per Mamat et al [7] .…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%
“…MS raw data ( .d format) were imported into ProfileAnalysis 2.1 (Bruker, Germany) for bucketing using Find Molecular Features settings as per Mamat et al [7] with smoothing width: 2 [3] . Bucket generation was set as follows: advanced bucketing feature calculated using parameters from time alignment, time range 2.00 minutes until 30.00 minutes, mass range 50 m/z to 1000 m/z , normalization is by sum of bucket values in analysis.…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%