Chemometric Characterization of Fruit Juices from Spanish Cultivars According to Their Phenolic Compound Contents: I. Citrus Fruits
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- 作者：Beatriz Abad-Garc铆a ; Luis A. Berrueta ; Sergio Garm贸n-Lobato ; Arantza Urkaregi ; Blanca Gallo ; Francisca Vicente
- 刊名：Journal of Agricultural and Food Chemistry
- 出版年：2012
- 出版时间：April 11, 2012
- 年：2012
- 卷：60
- 期：14
- 页码：3635-3644
- 全文大小：359K
- 年卷期：v.60,no.14(April 11, 2012)
- ISSN：1520-5118
文摘
The data set composed by phenolic compound profiles of 83 Citrus juices (determined by HPLC-DAD-MS/MS) was evaluated by chemometrics to differentiate them according to Citrus species (sweet orange, tangerine, lemon, and grapefruit). Cluster analysis (CA) and principal component analysis (PCA) showed natural sample grouping among Citrus species and even the Citrus subclass. Most of the information contained in the full data set can be captured if only 15 phenolic compounds (concentration 鈮?0 mg/L), which can be quantified with fast and accurate methods in real samples, are introduced in the models; a good classification which allows the confirmation of the authenticity of juices is achieved by linear discriminant analysis. Using this reduced data set, fast and routine methods have been developed for predicting the percentage of grapefruit in adulterated sweet orange juices using principal component regression (PCR) and partial least-squares regression (PLS). The PLS model has provided suitable estimation errors.