Literature DB >> 23815505

Chemometric classification of apple juices according to variety and geographical origin based on polyphenolic profiles.

Jing Guo1, Tianli Yue, Yahong Yuan, Yutang Wang.   

Abstract

To characterize and classify apple juices according to apple variety and geographical origin on the basis of their polyphenol composition, the polyphenolic profiles of 58 apple juice samples belonging to 5 apple varieties and from 6 regions in Shaanxi province of China were assessed. Fifty-one of the samples were from protected designation of origin (PDO) districts. Polyphenols were determined by high-performance liquid chromatography coupled to photodiode array detection (HPLC-PDA) and to a Q Exactive quadrupole-Orbitrap mass spectrometer. Chemometric techniques including principal component analysis (PCA) and stepwise linear discriminant analysis (SLDA) were carried out on polyphenolic profiles of the samples to develop discrimination models. SLDA achieved satisfactory discriminations of apple juices according to variety and geographical origin, providing respectively 98.3 and 91.2% success rate in terms of prediction ability. This result demonstrated that polyphenols could served as characteristic indices to verify the variety and geographical origin of apple juices.

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Year:  2013        PMID: 23815505     DOI: 10.1021/jf4011774

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  6 in total

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2.  Phenolic composition of apple products and by-products based on cold pressing technology.

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Journal:  Front Nutr       Date:  2022-06-30

5.  NMR Characterization of Ten Apple Cultivars from the Piedmont Region.

Authors:  Giacomo Di Matteo; Mattia Spano; Cristina Esposito; Cristina Santarcangelo; Alessandra Baldi; Maria Daglia; Luisa Mannina; Cinzia Ingallina; Anatoly P Sobolev
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6.  Rapid Determination of the Geographical Origin of Chinese Red Peppers (Zanthoxylum Bungeanum Maxim.) Based on Sensory Characteristics and Chemometric Techniques.

Authors:  Xiangqian Yin; Xiaoxue Xu; Qiang Zhang; Jianguo Xu
Journal:  Molecules       Date:  2018-04-24       Impact factor: 4.411

  6 in total

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