کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5767151 1628382 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Assessment of premium organic orange juices authenticity using HPLC-HR-MS and HS-SPME-GC-MS combining data fusion and chemometrics
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک دانش تغذیه
پیش نمایش صفحه اول مقاله
Assessment of premium organic orange juices authenticity using HPLC-HR-MS and HS-SPME-GC-MS combining data fusion and chemometrics
چکیده انگلیسی


- Premium orange juices were analyzed by HPLC-HR-MS and HS-SPME-GC-MS.
- Data fusion approaches were used to discriminate the organic juices.
- Mid-level data fusion allowed a correct classification of all samples.
- A new framework for the authentication of organic foodstuffs have been proven.

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Food Control - Volume 82, December 2017, Pages 203-211
نویسندگان
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