2020
DOI: 10.1016/j.lwt.2020.109622
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GC-MS based targeted metabolomics approach for studying the variations of phenolic metabolites in artificially ripened banana fruits

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Cited by 20 publications
(4 citation statements)
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“…Sinapic acid has been identi ed through LCMS/MS analysis in banana roots (Sebatian Fenolik dan Komposisinya dalam Tindak Balas Pertahanan Pokok Pisang Berangan yang et al 2021). Furthermore, it has been observed that sinapic acid levels increase in bananas treated with arti cial ripeners (Tallapally et al 2020). The LARESI method revealed pyruvic acid to be the compound with the lowest molecular weight in this study.…”
Section: Resultsmentioning
confidence: 99%
“…Sinapic acid has been identi ed through LCMS/MS analysis in banana roots (Sebatian Fenolik dan Komposisinya dalam Tindak Balas Pertahanan Pokok Pisang Berangan yang et al 2021). Furthermore, it has been observed that sinapic acid levels increase in bananas treated with arti cial ripeners (Tallapally et al 2020). The LARESI method revealed pyruvic acid to be the compound with the lowest molecular weight in this study.…”
Section: Resultsmentioning
confidence: 99%
“…Sinapic acid has been identified through LC MS/MS analysis in banana roots (Shi Ming et al 2021). Furthermore, it has been observed that sinapic acid levels increase in bananas treated with artificial ripeners (Tallapally et al 2020). Previous research on extracts from different morphological parts of bananas indicated that ferulic acid is more abundant in leaf sheaths and floral stalks, whereas rachis contains it in smaller quantities (Oliveira et al 2006).…”
Section: Resultsmentioning
confidence: 99%
“…Metabolomics has been around for a while, but it hasn't been applied to many important food groups, including fruits. The analysis of volatiles is useful for a variety of tasks in the quality control of fruit and nutraceuticals, such as genotype or geographic origin differentiation and maturity stage differentiation (Khalil et al ., 2017; Tallapally et al ., 2020). GC in tandem with high‐throughput MS enabled the identification of volatiles, particularly in fruit flavour compounds to better understand their complex interactions (Yao et al ., 2018; Colantonio et al ., 2022).…”
Section: Metabolomics Techniques For Exploring the Complexity Of Frui...mentioning
confidence: 99%