Chemometric Classification of Apple Juices According to Variety and Geographical Origin Based on Polyphenolic Profiles

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 th...

Full description

Saved in:
Bibliographic Details
Published in:Journal of agricultural and food chemistry 2013-07, Vol.61 (28), p.6949-6963
Main Authors: Guo, Jing, Yue, Tianli, Yuan, Yahong, Wang, Yutang
Format: Article
Language:English
Subjects:
Analysis of Variance
apple juice
apples
Beverages - analysis
Beverages - classification
Biological and medical sciences
China
Discriminant Analysis
Food industries
Fruit - chemistry
Fruit and vegetable industries
Fundamental and applied biological sciences. Psychology
high performance liquid chromatography
Malus - chemistry
polyphenols
Polyphenols - analysis
prediction
principal component analysis
protected designation of origin
Reproducibility of Results
Species Specificity
spectrometers
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0021-8561
1520-5118
DOI:10.1021/jf4011774