Analytical techniques combined with chemometrics for authentication and determination of contaminants in condiments: A review

Ingars Reinholds*, Vadims Bartkevics, Isabelle C.J. Silvis, Saskia M. van Ruth, Susanne Esslinger

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

59 Citations (Scopus)

Abstract

Spices and herbs play an important role as flavorings, colorants, and also as bioactive compounds used in medicine and cosmetics. The presence of common contaminants, e.g., mycotoxins, pesticide residues, heavy metals, and the adulterants, e.g., azo dyes, filth and extraneous matter have been permanently monitored in condiments in order to control their quality, compliance to market, and safety to human health. The present paper shows a comprehensive overview of the analytical methods, based on the modern instrumental techniques and the most perspective statistical tools, based on univariate and multivariate (chemometrics) statistics, used for qualitative and quantitative determination of contaminant levels and for the authentication issues of different spices and herbs, discriminated by their geographic or biological origin. The review comprises more than sixty studies covering the last decade, describing the benefits of different analytical methods including multidimensional (non-targeted and targeted) approaches combined with multivariate chemometric techniques for the assessment of contaminants in spices and herbs in relation to research of their safety and quality issues. The methods based on multivariate data description and regression techniques are among the most promising techniques for the authentication of spices/herbs and determination of their contamination or adulteration risks with potential hazards.

Original languageEnglish
Pages (from-to)56-72
JournalJournal of Food Composition and Analysis
Volume44
DOIs
Publication statusPublished - 1 Dec 2015

Keywords

  • Contaminants
  • Food analysis
  • Food fraud
  • Food safety and quality
  • Herbs
  • Multivariate analysis
  • Spices
  • Targeted and non-targeted methods

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