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

• Published in: Journal of agricultural and food chemistry Vol. 61; no. 28; pp. 6949 - 6963
• Main Authors: Guo, Jing, Yue, Tianli, Yuan, Yahong, Wang, Yutang
• Format: Journal Article
• Language: English
• Published: Washington, DC American Chemical Society 17.07.2013
• Subjects: analysis; Analysis of Variance; apple juice; apples; Beverages; Beverages - analysis; Beverages - classification; Biological and medical sciences; chemistry; China; classification; Discriminant Analysis; Food industries; Fruit; Fruit - chemistry; Fruit and vegetable industries; Fundamental and applied biological sciences. Psychology; high performance liquid chromatography; Malus; Malus - chemistry; polyphenols; Polyphenols - analysis; prediction; principal component analysis; protected designation of origin; Reproducibility of Results; Species Specificity; spectrometers; China; polyphenol; chemometric techniques; classification; apple juice; Polyphenol; Apple; Fruit; Classification; Fruit product; Geographical origin; Fruit juice; Variety; Chemometrics; Profile
• ISSN: 0021-8561; 1520-5118; 1520-5118
• DOI: 10.1021/jf4011774

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.