期刊
FOOD CONTROL
卷 82, 期 -, 页码 203-211出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.foodcont.2017.06.031
关键词
Organic farming; Data fusion; Authentication; Foodomics; Chemometrics
资金
- Andalusian Institute of Agricultural and Fisheries Research and Training (IFAPA)
- European Commission funds (European Rural Development Funds ERDF and the European Social Fund ESF) through the project 'Caracterizacion organoleptica y funcional de productos ecologicos
This study aims to develop a robust chemometric approach to make it possible to authenticate European premium organic orange juices. The metabolomic fingerprinting and the volatile profile of commercial orange juices were analyzed by HPLC-HR-MS and HS-SPME-GC-MS. These data were used for authentication (classification of orange juices) purposes, using principal component analysis, hierarchical cluster analysis and partial least squares discriminant analysis, which provided acceptable results. Some flavonoids, fatty acids, aldehydes and esters were identified as potential markers involved in the differentiation of organic juices. Data fusion strategies were tested and 'mid-level' data fusion achieved an optimal model for classifying organic or conventional orange juices with a sensitivity and specificity of 100%, thus improving the individual models. This approach, combining mass spectrometry techniques, chemometrics and data fusion, likely provides a new framework for the authentication of organic foodstuffs. (C) 2017 Elsevier Ltd. All rights reserved.
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