Literature DB >> 27979205

Characterization, classification and authentication of fruit-based extracts by means of HPLC-UV chromatographic fingerprints, polyphenolic profiles and chemometric methods.

Naiara Pardo-Mates1, Alex Vera1, Sergio Barbosa1, Míriam Hidalgo-Serrano1, Oscar Núñez2, Javier Saurina3, Santiago Hernández-Cassou3, Lluis Puignou3.   

Abstract

HPLC-UV was applied to the analysis and characterization of fruit-based and fruit-processed products. A Kinetex C18 reversed-phase column was proposed under gradient elution for the determination of 17 polyphenols. Acceptable sensitivity (LODs below 0.16mg/L), and good linearity (r2 higher than 0.995), precision (RSD below 6.8%), and method trueness (relative errors below 11%) were obtained. Data corresponding to polyphenolic peak areas and HPLC-UV chromatographic fingerprints were then analyzed by exploratory principal component analysis (PCA) to extract information of the most significant variables contributing to characterization and classification of analyzed samples regarding the fruit of origin. HPLC-UV chromatographic data was further treated by partial least square (PLS) regression to determine the percentages of adulteration in cranberry-fruit extracts. It was found that even mixture samples containing low percentages of adulterants could be distinguished from genuine cranberry extracts. Highly satisfactory results were obtained, with overall errors in the quantification of adulterations below 4.3%.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Food authentication; High performance liquid chromatography; Partial least square regression; Polyphenols; Principal component analysis; UV-detection

Mesh:

Substances:

Year:  2016        PMID: 27979205     DOI: 10.1016/j.foodchem.2016.10.033

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  5 in total

1.  Total Polyphenol Content in Food Samples and Nutraceuticals: Antioxidant Indices versus High Performance Liquid Chromatography.

Authors:  Oscar Vidal-Casanella; Javier Moreno-Merchan; Merce Granados; Oscar Nuñez; Javier Saurina; Sonia Sentellas
Journal:  Antioxidants (Basel)       Date:  2022-02-07

2.  Quality Evaluation of Phellodendri Chinensis Cortex by Fingerprint⁻Chemical Pattern Recognition.

Authors:  Xuexiao Cao; Lili Sun; Di Li; Guangjiao You; Meng Wang; Xiaoliang Ren
Journal:  Molecules       Date:  2018-09-10       Impact factor: 4.411

3.  Targeted UHPLC-HRMS (Orbitrap) Polyphenolic and Capsaicinoid Profiling for the Chemometric Characterization and Classification of Paprika with Protected Designation of Origin (PDO) Attributes.

Authors:  Sergio Barbosa; Javier Saurina; Lluís Puignou; Oscar Núñez
Journal:  Molecules       Date:  2020-04-01       Impact factor: 4.411

4.  Vaccinium macrocarpon (Cranberry)-Based Dietary Supplements: Variation in Mass Uniformity, Proanthocyanidin Dosage and Anthocyanin Profile Demonstrates Quality Control Standard Needed.

Authors:  Giuseppe Mannino; Vita Di Stefano; Antonino Lauria; Rosa Pitonzo; Carla Gentile
Journal:  Nutrients       Date:  2020-04-03       Impact factor: 5.717

5.  A Comparative Study of Some Procedures for Isolation of Fruit DNA of Sufficient Quality for PCR-Based Assays.

Authors:  Lenka Fialova; Denisa Romanovska; Ivana Marova
Journal:  Molecules       Date:  2020-09-20       Impact factor: 4.411

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.