Literature DB >> 26231890

Review of validation and reporting of non-targeted fingerprinting approaches for food authentication.

Janet Riedl1, Susanne Esslinger1, Carsten Fauhl-Hassek2.   

Abstract

Food fingerprinting approaches are expected to become a very potent tool in authentication processes aiming at a comprehensive characterization of complex food matrices. By non-targeted spectrometric or spectroscopic chemical analysis with a subsequent (multivariate) statistical evaluation of acquired data, food matrices can be investigated in terms of their geographical origin, species variety or possible adulterations. Although many successful research projects have already demonstrated the feasibility of non-targeted fingerprinting approaches, their uptake and implementation into routine analysis and food surveillance is still limited. In many proof-of-principle studies, the prediction ability of only one data set was explored, measured within a limited period of time using one instrument within one laboratory. Thorough validation strategies that guarantee reliability of the respective data basis and that allow conclusion on the applicability of the respective approaches for its fit-for-purpose have not yet been proposed. Within this review, critical steps of the fingerprinting workflow were explored to develop a generic scheme for multivariate model validation. As a result, a proposed scheme for "good practice" shall guide users through validation and reporting of non-targeted fingerprinting results. Furthermore, food fingerprinting studies were selected by a systematic search approach and reviewed with regard to (a) transparency of data processing and (b) validity of study results. Subsequently, the studies were inspected for measures of statistical model validation, analytical method validation and quality assurance measures. In this context, issues and recommendations were found that might be considered as an actual starting point for developing validation standards of non-targeted metabolomics approaches for food authentication in the future. Hence, this review intends to contribute to the harmonization and standardization of food fingerprinting, both required as a prior condition for the authentication of food in routine analysis and official control.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Analytical method validation; Authenticity; Food fingerprinting; Non-targeted analysis; Statistical model validation; System challenge

Mesh:

Year:  2015        PMID: 26231890     DOI: 10.1016/j.aca.2015.06.003

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  16 in total

Review 1.  Integrated analytical assets aid botanical authenticity and adulteration management.

Authors:  Charlotte Simmler; James G Graham; Shao-Nong Chen; Guido F Pauli
Journal:  Fitoterapia       Date:  2017-11-22       Impact factor: 2.882

2.  An Introduction to the Benchmarking and Publications for Non-Targeted Analysis Working Group.

Authors:  Benjamin J Place; Elin M Ulrich; Jonathan K Challis; Alex Chao; Bowen Du; Kristin Favela; Yong-Lai Feng; Christine M Fisher; Piero Gardinali; Alan Hood; Ann M Knolhoff; Andrew D McEachran; Sara L Nason; Seth R Newton; Brian Ng; Jamie Nuñez; Katherine T Peter; Allison L Phillips; Natalia Quinete; Ryan Renslow; Jon R Sobus; Eric M Sussman; Benedikt Warth; Samanthi Wickramasekara; Antony J Williams
Journal:  Anal Chem       Date:  2021-11-29       Impact factor: 6.986

3.  Chemical Characterization of Recycled Consumer Products Using Suspect Screening Analysis.

Authors:  Charles N Lowe; Katherine A Phillips; Kristin A Favela; Alice Y Yau; John F Wambaugh; Jon R Sobus; Antony J Williams; Ashley J Pfirrman; Kristin K Isaacs
Journal:  Environ Sci Technol       Date:  2021-08-04       Impact factor: 11.357

4.  Recommendations for Improving Identification and Quantification in Non-Targeted, GC-MS-Based Metabolomic Profiling of Human Plasma.

Authors:  Hanghang Wang; Michael J Muehlbauer; Sara K O'Neal; Christopher B Newgard; Elizabeth R Hauser; James R Bain; Svati H Shah
Journal:  Metabolites       Date:  2017-08-25

5.  NMR-Based Metabolic Profiling of Field-Grown Leaves from Sugar Beet Plants Harbouring Different Levels of Resistance to Cercospora Leaf Spot Disease.

Authors:  Yasuyo Sekiyama; Kazuyuki Okazaki; Jun Kikuchi; Seishi Ikeda
Journal:  Metabolites       Date:  2017-01-26

6.  Discovery of food identity markers by metabolomics and machine learning technology.

Authors:  Alexander Erban; Ines Fehrle; Federico Martinez-Seidel; Federico Brigante; Agustín Lucini Más; Veronica Baroni; Daniel Wunderlin; Joachim Kopka
Journal:  Sci Rep       Date:  2019-07-04       Impact factor: 4.379

7.  Egg product freshness evaluation: A metabolomic approach.

Authors:  Daniele Cavanna; Dante Catellani; Chiara Dall'Asta; Michele Suman
Journal:  J Mass Spectrom       Date:  2018-07-30       Impact factor: 1.982

8.  Classification and Authentication of Paprika by UHPLC-HRMS Fingerprinting and Multivariate Calibration Methods (PCA and PLS-DA).

Authors:  Sergio Barbosa; Javier Saurina; Lluís Puignou; Oscar Núñez
Journal:  Foods       Date:  2020-04-13

Review 9.  The Sample, the Spectra and the Maths-The Critical Pillars in the Development of Robust and Sound Applications of Vibrational Spectroscopy.

Authors:  Daniel Cozzolino
Journal:  Molecules       Date:  2020-08-12       Impact factor: 4.411

10.  Detecting Food Fraud in Extra Virgin Olive Oil Using a Prototype Portable Hyphenated Photonics Sensor.

Authors:  Yannick Weesepoel; Martin Alewijn; Michiel Wijtten; Judith Müller-Maatsch
Journal:  J AOAC Int       Date:  2021-03-05       Impact factor: 1.913

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