Verification of authenticity and fraud detection in South African honey using NIR spectroscopy

Abstract The South African honey industry will benefit from a reliable method that can verify authenticity as well as detect fraudulence of honey that is on the market. This work presents the use of near-infrared (NIR) spectroscopy in combination with chemometrics as a fast and relatively inexpensive method to discriminate between authentic South African and imported and/or adulterated honey. A supervised chemometric approach was followed on NIR spectra collected from genuine South African honey, as well as intentionally adulterated honeys with sugar solutions (glucose and fructose) and also cheap imported honey. By using partial least squares discriminant analysis (PLS-DA), overall classification accuracies of between 93.3% and 99.9% were obtained when using three different NIR instruments (a laboratory instrument, as well as a portable and a mobile instruments). The usefulness of NIR spectroscopy for accurate honey classifications, regardless the instrument specifications, are demonstrated.

[1]  Wen Wu,et al.  Classification of Floral Origins of Honey by NIR and Chemometrics , 2012 .

[2]  Jing Zhao,et al.  Classification of Chinese honeys according to their floral origin by near infrared spectroscopy. , 2012, Food chemistry.

[3]  S. Wold,et al.  Multivariate Data Analysis in Chemistry , 1984 .

[4]  Gerard Downey,et al.  Potential of near Infrared Transflectance Spectroscopy to Detect Adulteration of Irish Honey by Beet Invert Syrup and High Fructose Corn Syrup , 2006 .

[5]  S. Wold,et al.  Partial least squares analysis with cross‐validation for the two‐class problem: A Monte Carlo study , 1987 .

[6]  S. Dodd,et al.  Standardized antibacterial honey (Medihoney) with standard therapy in wound care: randomized clinical trial. , 2009, Journal of advanced nursing.

[7]  A. Gören,et al.  13C/12C pattern of honey from Turkey and determination of adulteration in commercially available honey samples using EA-IRMS , 2012 .

[8]  Tom Fearn,et al.  Practical Nir Spectroscopy With Applications in Food and Beverage Analysis , 1993 .

[9]  M. Barker,et al.  Partial least squares for discrimination , 2003 .

[10]  H. Macleod,et al.  Thin-Film Optical Filters , 1969 .

[11]  Zhuoyong Zhang,et al.  Detection of adulterants such as sweeteners materials in honey using near-infrared spectroscopy and chemometrics , 2010 .

[12]  Ronald D. Snee,et al.  Validation of Regression Models: Methods and Examples , 1977 .

[13]  N. Sbirrazzuoli,et al.  Application of DSC as a tool for honey floral species characterization and adulteration detection , 2003 .

[14]  Daniel Cozzolino,et al.  Classification of the floral origin of Uruguayan honeys by chemical and physical characteristics combined with chemometrics , 2006 .

[15]  Ana I Cabañero,et al.  Liquid chromatography coupled to isotope ratio mass spectrometry: a new perspective on honey adulteration detection. , 2006, Journal of agricultural and food chemistry.

[16]  Heinz W. Siesler,et al.  Miniature near-infrared (NIR) spectrometer engine for handheld applications , 2012, Defense, Security, and Sensing.

[17]  S. Grobler,et al.  The antifungal action of three South African honeys on Candida albicans , 2001 .

[18]  L. A. Stone,et al.  Computer Aided Design of Experiments , 1969 .

[19]  C. Herrero Latorre,et al.  A fast chemometric procedure based on NIR data for authentication of honey with protected geographical indication. , 2013 .

[20]  M. Grenier-loustalot,et al.  Study and validity of 13C stable carbon isotopic ratio analysis by mass spectrometry and 2H site-specific natural isotopic fractionation by nuclear magnetic resonance isotopic measurements to characterize and control the authenticity of honey. , 2007, Analytica chimica acta.

[21]  Nieves Corzo,et al.  HPAEC-PAD oligosaccharide analysis to detect adulterations of honey with sugar syrups , 2008 .

[22]  R. Barnes,et al.  Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance Spectra , 1989 .

[23]  S. Wold,et al.  PLS: Partial Least Squares Projections to Latent Structures , 1993 .

[24]  Yang Shan,et al.  Detection of honey adulteration by high fructose corn syrup and maltose syrup using Raman spectroscopy , 2012 .

[25]  C T Elliott,et al.  Discrimination of honey of different floral origins by a combination of various chemical parameters. , 2015, Food Chemistry.

[26]  Svante Wold,et al.  PLS DISCRIMINANT PLOTS , 1986 .

[27]  Daniel Cabrol-Bass,et al.  Detection and quantification of honey adulteration via direct incorporation of sugar syrups or bee-feeding: preliminary study using high-performance anion exchange chromatography with pulsed amperometric detection (HPAEC-PAD) and chemometrics , 2005 .

[28]  Federico Marini,et al.  Supervised pattern recognition applied to the discrimination of the floral origin of six types of Italian honey samples , 2004 .

[29]  Colm O'Donnell,et al.  Geographical classification of honey samples by near-infrared spectroscopy: a feasibility study. , 2007, Journal of agricultural and food chemistry.

[30]  T. B. Murphy,et al.  A comparison of model-based and regression classification techniques applied to near infrared spectroscopic data in food authentication studies , 2007 .

[31]  S. Karaman,et al.  Steady, dynamic and creep rheological analysis as a novel approach to detect honey adulteration by fructose and saccharose syrups: Correlations with HPLC-RID results. , 2014, Food research international.

[32]  G. Savage,et al.  Mineral analysis of mono-floral New Zealand honey. , 2011, Food chemistry.

[33]  A. Savitzky,et al.  Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .

[34]  Einar Etzold,et al.  Determination of the botanical origin of honey by Fourier-transformed infrared spectroscopy: an approach for routine analysis , 2008 .

[35]  Yong He,et al.  Theory and application of near infrared reflectance spectroscopy in determination of food quality , 2007 .

[36]  S. Vuuren,et al.  Antimicrobial properties and isotope investigations of South African honey , 2014, Journal of applied microbiology.

[37]  An NMR-based metabolomic approach to identify the botanical origin of honey , 2012, Metabolomics.

[38]  F. Marini,et al.  Validation of chemometric models - a tutorial. , 2015, Analytica chimica acta.