Literature DB >> 24679755

Metabolomic approaches for orange origin discrimination by ultra-high performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry.

Ramon Díaz1, Oscar J Pozo2, Juan V Sancho3, Félix Hernández1.   

Abstract

In this work, hybrid quadrupole time-of-flight mass spectrometer (QTOF MS) coupled to ultra high performance liquid chromatography (UHPLC) has been used for biomarkers identification for correct authentication of Valencia (Spain) oranges. Differentiation from foreign Argentinean, Brazilian and South African oranges has been carried out using XCMS application and multivariate analysis to UHPLC-(Q)TOF MS data acquired in both, positive and negative ionisation modes. Several markers have been found and corroborated by analysing two seasons samples. A seasonal independent marker was found and its structure elucidated using accurate mass data and MS(E) fragmentation spectrum information. Empirical formula was searched in Reaxys database applying sub-structure filtering from the fragments obtained. Three possible structures were found and citrusin D, a compound present in sweet oranges, has been identified as the most plausible as it fits better with the product ion scan performed for this compound. As a result of data obtained in this work, citrusin D is suggested as a potential marker to distinguish the geographic origin of oranges.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Citrusin D; Foodomics; MS(E); Metabolomics; Orange origin authentication; UHPLC-(Q)TOF MS

Mesh:

Year:  2014        PMID: 24679755     DOI: 10.1016/j.foodchem.2014.02.009

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  9 in total

1.  Discrimination of Geographical Origin of Agricultural Products From Small-Scale Districts by Widely Targeted Metabolomics With a Case Study on Pinggu Peach.

Authors:  Jie Zhao; An Li; Xinxin Jin; Gang Liang; Ligang Pan
Journal:  Front Nutr       Date:  2022-05-24

2.  Characteristic Fingerprint Based on Low Polar Constituents for Discrimination of Wolfiporia extensa according to Geographical Origin Using UV Spectroscopy and Chemometrics Methods.

Authors:  Yan Li; Ji Zhang; Yanli Zhao; Zhimin Li; Tao Li; Yuanzhong Wang
Journal:  J Anal Methods Chem       Date:  2014-12-02       Impact factor: 2.193

Review 3.  Towards a Universal Approach Based on Omics Technologies for the Quality Control of Food.

Authors:  Emanuele Ferri; Andrea Galimberti; Maurizio Casiraghi; Cristina Airoldi; Carlotta Ciaramelli; Alessandro Palmioli; Valerio Mezzasalma; Ilaria Bruni; Massimo Labra
Journal:  Biomed Res Int       Date:  2015-12-13       Impact factor: 3.411

Review 4.  Fortune telling: metabolic markers of plant performance.

Authors:  Olivier Fernandez; Maria Urrutia; Stéphane Bernillon; Catherine Giauffret; François Tardieu; Jacques Le Gouis; Nicolas Langlade; Alain Charcosset; Annick Moing; Yves Gibon
Journal:  Metabolomics       Date:  2016-09-15       Impact factor: 4.290

5.  Polar Lipids in Starch-Rich Commodities to be Analyzed with LC-MS-Based Metabolomics-Optimization of Ionization Parameters and High-Throughput Extraction Protocols.

Authors:  Christin Claassen; Jürgen Kuballa; Sascha Rohn
Journal:  Metabolites       Date:  2019-08-12

6.  Correlation between Quality and Geographical Origins of Cortex Periplocae, Based on the Qualitative and Quantitative Determination of Chemical Markers Combined with Chemical Pattern Recognition.

Authors:  Mengyuan Gao; Xiaohua Jia; Xuhua Huang; Wei Wang; Guangzhe Yao; Yanxu Chang; Huizi Ouyang; Tianxiang Li; Jun He
Journal:  Molecules       Date:  2019-10-08       Impact factor: 4.411

7.  Characterization of Ikaria Heather Honey by Untargeted Ultrahigh-Performance Liquid Chromatography-High Resolution Mass Spectrometry Metabolomics and Melissopalynological Analysis.

Authors:  Konstantinos M Kasiotis; Eirini Baira; Styliani Iosifidou; Kyriaki Bergele; Electra Manea-Karga; Ioannis Theologidis; Theodora Barmpouni; Despina Tsipi; Kyriaki Machera
Journal:  Front Chem       Date:  2022-07-22       Impact factor: 5.545

8.  Multi-omics analysis reveals that ornithine decarboxylase contributes to erlotinib resistance in pancreatic cancer cells.

Authors:  Won-Jun Jang; Boyeon Choi; Sang-Hoon Song; Naeun Lee; Dong-Joon Kim; Sooyeun Lee; Chul-Ho Jeong
Journal:  Oncotarget       Date:  2017-10-06

9.  The integration of multi-platform MS-based metabolomics and multivariate analysis for the geographical origin discrimination of Oryza sativa L.

Authors:  Dong Kyu Lim; Changyeun Mo; Jeong Hee Lee; Nguyen Phuoc Long; Ziyuan Dong; Jing Li; Jongguk Lim; Sung Won Kwon
Journal:  J Food Drug Anal       Date:  2017-11-10       Impact factor: 6.157

  9 in total

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