Literature DB >> 23070660

Analytical authentication of organic products: an overview of markers.

Edoardo Capuano1, Rita Boerrigter-Eenling, Grishja van der Veer, Saskia M van Ruth.   

Abstract

Consumers' interest in organic foods is increasing and so is the need for robust analytical tools for their authentication. This review focuses on the most promising biomarkers/analytical approaches that are available for the authentication of organic produce. Food products have been subdivided into two groups: foods of plant origin (crops) and foods of animal origin (meat, milk and dairy products, eggs and fish). For each food category the most suitable biomarkers are presented and their potential for authentication is discussed. In the light of current knowledge, it is unlikely that the authentication of organic food products can be attained by the measurement of a single marker. Analytical approaches based on the measurement of multiple markers and/or complex chemical or physical profiles/fingerprints supported by multivariate statistical analysis seem considerably more promising in this respect. For the development of robust classification models, well-designed experimental studies must be performed that rely on data sets that are both well balanced and of sufficient size to ensure that all relevant sources of variation for the target biomarkers are included in the reference database.
Copyright © 2012 Society of Chemical Industry.

Keywords:  authentication; biological; biomarkers; fingerprint; organic; sustainable

Mesh:

Substances:

Year:  2012        PMID: 23070660     DOI: 10.1002/jsfa.5914

Source DB:  PubMed          Journal:  J Sci Food Agric        ISSN: 0022-5142            Impact factor:   3.638


  8 in total

1.  Discrimination of conventional and organic white cabbage from a long-term field trial study using untargeted LC-MS-based metabolomics.

Authors:  Axel Mie; Kristian Holst Laursen; K Magnus Åberg; Jenny Forshed; Anna Lindahl; Kristian Thorup-Kristensen; Marie Olsson; Pia Knuthsen; Erik Huusfeldt Larsen; Søren Husted
Journal:  Anal Bioanal Chem       Date:  2014-03-12       Impact factor: 4.142

2.  Learning to Classify Organic and Conventional Wheat - A Machine Learning Driven Approach Using the MeltDB 2.0 Metabolomics Analysis Platform.

Authors:  Nikolas Kessler; Anja Bonte; Stefan P Albaum; Paul Mäder; Monika Messmer; Alexander Goesmann; Karsten Niehaus; Georg Langenkämper; Tim W Nattkemper
Journal:  Front Bioeng Biotechnol       Date:  2015-03-24

3.  Metabolomics for organic food authentication: Results from a long-term field study in carrots.

Authors:  Elena Cubero-Leon; Olivier De Rudder; Alain Maquet
Journal:  Food Chem       Date:  2017-07-01       Impact factor: 7.514

4.  Metabolomic profiling to detect different forms of beef fraud using rapid evaporative ionisation mass spectrometry (REIMS).

Authors:  Kelsey Robson; Nicholas Birse; Olivier Chevallier; Christopher Elliott
Journal:  NPJ Sci Food       Date:  2022-01-27

5.  Effect of Different Culture Conditions on Gene Expression Associated With Cyst Production in Populations of Artemia franciscana.

Authors:  Margarita Parraguez
Journal:  Front Genet       Date:  2022-03-31       Impact factor: 4.599

6.  Influence of the Washing Process and the Time of Fruit Harvesting throughout the Day on Quality and Chemosensory Profile of Organic Extra Virgin Olive Oils.

Authors:  M Pilar Segura-Borrego; Rocío Ríos-Reina; Antonio J Puentes-Campos; Brígida Jiménez-Herrera; Raquel M Callejón
Journal:  Foods       Date:  2022-09-27

Review 7.  OMICS Technologies and Applications in Sugar Beet.

Authors:  Yongxue Zhang; Jingdong Nan; Bing Yu
Journal:  Front Plant Sci       Date:  2016-06-22       Impact factor: 5.753

8.  A tool to assure the geographical origin of local food products (glasshouse tomatoes) using labeling with rare earth elements.

Authors:  Donata Bandoniene; Thomas Meisel; Alessandra Rachetti; Christoph Walkner
Journal:  J Sci Food Agric       Date:  2018-06-12       Impact factor: 3.638

  8 in total

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