title: Discrimination of honey of different floral origins by a combination of various chemical parameters.
abstract: Honey is a high value food commodity with recognized nutraceutical properties. A primary driver of the value of honey is its floral origin. The feasibility of applying multivariate data analysis to various chemical parameters for the discrimination of honeys was explored. This approach was applied to four authentic honeys with different floral origins (rata, kamahi, clover and manuka) obtained from producers in New Zealand. Results from elemental profiling, stable isotope analysis, metabolomics (UPLC-QToF MS), and NIR, FT-IR, and Raman spectroscopic fingerprinting were analyzed. Orthogonal partial least square discriminant analysis (OPLS-DA) was used to determine which technique or combination of techniques provided the best classification and prediction abilities. Good prediction values were achieved using metabolite data (for all four honeys, Q(2)=0.52; for manuka and clover, Q(2)=0.76) and the trace element/isotopic data (for manuka and clover, Q(2)=0.65), while the other chemical parameters showed promise when combined (for manuka and clover, Q(2)=0.43).
authors.affiliation: Food and Environmental Protection Laboratory, FAO/IAEA Agriculture and Biotechnology Laboratories, Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, International Atomic Energy Agency, Vienna, Austria. Electronic address: z.jandric@iaea.org.
authors.forename: Z
authors.initials: Z
authors.lastname: Jandrić
authors.affiliation: Institute for Global Food Security, Queen's University Belfast, UK.
authors.forename: S A
authors.initials: SA
authors.lastname: Haughey
authors.affiliation: Food and Environmental Protection Laboratory, FAO/IAEA Agriculture and Biotechnology Laboratories, Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, International Atomic Energy Agency, Vienna, Austria.
authors.forename: R D
authors.initials: RD
authors.lastname: Frew
authors.affiliation: Oritain Global Limited, Invermay Agricultural Centre, Mosgiel, New Zealand.
authors.forename: K
authors.initials: K
authors.lastname: McComb
authors.affiliation: Institute for Global Food Security, Queen's University Belfast, UK.
authors.forename: P
authors.initials: P
authors.lastname: Galvin-King
authors.affiliation: Institute for Global Food Security, Queen's University Belfast, UK.
authors.forename: C T
authors.initials: CT
authors.lastname: Elliott
authors.affiliation: Food and Environmental Protection Laboratory, FAO/IAEA Agriculture and Biotechnology Laboratories, Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, International Atomic Energy Agency, Vienna, Austria.
authors.forename: A
authors.initials: A
authors.lastname: Cannavan
mesh_terms: D055598:Chemical Phenomena; D016208:Databases, Factual; D016002:Discriminant Analysis; D035264:Flowers / Q000737:chemistry; D005504:Food Analysis; D006722:Honey / Q000032:analysis*; D055432:Metabolomics; D009520:New Zealand; D015203:Reproducibility of Results; D017550:Spectroscopy, Fourier Transform Infrared; D013059:Spectrum Analysis, Raman
keywords: Chemometrics; Discrimination; Elemental profiling; Fingerprinting; Honey; Metabolomics; Spectroscopy