Literature DB >> 27979182

Assessing a traceability technique in fresh oranges (Citrus sinensis L. Osbeck) with an HS-SPME-GC-MS method. Towards a volatile characterisation of organic oranges.

Francisco Julián Cuevas1, José Manuel Moreno-Rojas2, María José Ruiz-Moreno3.   

Abstract

A targeted approach using HS-SPME-GC-MS was performed to compare flavour compounds of 'Navelina' and 'Salustiana' orange cultivars from organic and conventional management systems. Both varieties of conventional oranges showed higher content of ester compounds. On the other hand, higher content of some compounds related with the geranyl-diphosphate pathway (neryl and geranyl acetates) and some terpenoids were found in the organic samples. Furthermore, the partial least square discriminant analysis (PLS-DA) achieved an effective classification for oranges based on the farming system using their volatile profiles (90 and 100% correct classification). To our knowledge, it is the first time that a comparative study dealing with farming systems and orange aroma profile has been performed. These new insights, taking into account local databases, cultivars and advanced analytical tools, highlight the potential of volatile composition for organic orange discrimination.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Citrus sinensis; HS-SPME-GC-MS; Organic farming; PLS-DA; Volatile compounds

Mesh:

Substances:

Year:  2016        PMID: 27979182     DOI: 10.1016/j.foodchem.2016.11.156

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


  3 in total

1.  Characterization of the volatile components in green tea by IRAE-HS-SPME/GC-MS combined with multivariate analysis.

Authors:  Yan-Qin Yang; Hong-Xu Yin; Hai-Bo Yuan; Yong-Wen Jiang; Chun-Wang Dong; Yu-Liang Deng
Journal:  PLoS One       Date:  2018-03-01       Impact factor: 3.240

2.  Research on Distinguishing Fish Meal Quality Using Different Characteristic Parameters Based on Electronic Nose Technology.

Authors:  Pei Li; Zouhong Ren; Kaiyi Shao; Hequn Tan; Zhiyou Niu
Journal:  Sensors (Basel)       Date:  2019-05-09       Impact factor: 3.576

3.  Discrimination and Identification of Aroma Profiles and Characterized Odorants in Citrus Blend Black Tea with Different Citrus Species.

Authors:  Jiatong Wang; Yin Zhu; Jiang Shi; Han Yan; Mengqi Wang; Wanjun Ma; Yue Zhang; Qunhua Peng; Yuqiong Chen; Zhi Lin
Journal:  Molecules       Date:  2020-09-14       Impact factor: 4.411

  3 in total

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