Food authentication: Techniques, trends & emerging approaches

Abstract Food authentication is a rapidly growing field due to increasing public awareness concerning food quality and safety. This review presents critically the analytical techniques which are used for authenticity assessment, explaining how and why they give plausible solutions. Classification of different methodologies is based on authenticity indicators providing insight into future developments. Analytical breakthroughs and novel techniques that emerged recently are discussed, along with their applications on food authentication. We have discussed current limits and gaps, related to informatics needs for data analysis of large quantities. Reporting standards and reference database are elaborated indicating urgent needs for the progress of this field. A scientometric evaluation highlighted the research trends and emerging approaches of this evolving field. Popular analytical techniques are commented, while the potential of the field is depicted in the temporal evolution of the research output focusing on geographical distribution of research activity and preferred journals used for dissemination.

[1]  Sharifah Bee Abd Hamid,et al.  Multiplex PCR in Species Authentication: Probability and Prospects—A Review , 2014, Food Analytical Methods.

[2]  Yu Bai,et al.  Direct Analysis in Real Time Mass Spectrometry: a Powerful Tool for Fast Analysis , 2015 .

[3]  K. H. Laursen,et al.  Authentication of organically grown plants – advantages and limitations of atomic spectroscopy for multi-element and stable isotope analysis , 2014 .

[4]  Andrea Marchetti,et al.  The Impact of Chemometrics on Food Traceability , 2013 .

[5]  Simon D. Kelly,et al.  Tracing the geographical origin of food: The application of multi-element and multi-isotope analysis , 2005 .

[6]  Ricard Boqué,et al.  Data fusion methodologies for food and beverage authentication and quality assessment - a review. , 2015, Analytica chimica acta.

[7]  K. Peiris,et al.  Non-destructive Detection of Food Adulteration to Guarantee Human Health and Safety , 2015 .

[8]  Arnaldo Dossena,et al.  Applications of liquid chromatography-mass spectrometry for food analysis. , 2012, Journal of chromatography. A.

[9]  George A. Mousdis,et al.  Rapid synchronous fluorescence method for virgin olive oil adulteration assessment , 2007 .

[10]  Y. Chang,et al.  Traceability in a food supply chain: Safety and quality perspectives , 2014 .

[11]  Clara Ibáñez,et al.  Novel MS-based approaches and applications in food metabolomics , 2013 .

[12]  Quansheng Chen,et al.  Instrumental intelligent test of food sensory quality as mimic of human panel test combining multiple cross-perception sensors and data fusion. , 2014, Analytica chimica acta.

[13]  Robert N Grass,et al.  Labeling milk along its production chain with DNA encapsulated in silica. , 2014, Journal of agricultural and food chemistry.

[14]  T. García,et al.  Determination of food authenticity by enzyme-linked immunosorbent assay (ELISA) , 2008 .

[15]  Georgios P. Danezis,et al.  Elemental and Isotopic Mass Spectrometry , 2015 .

[16]  L Catucci,et al.  Non-targeted 1H NMR fingerprinting and multivariate statistical analyses for the characterisation of the geographical origin of Italian sweet cherries. , 2013, Food chemistry.

[17]  J. M. Gallardo,et al.  Proteomics and its applications for food authentication and food-technology research , 2013 .

[18]  Marta Albisu,et al.  Food quality certification: An approach for the development of accredited sensory evaluation methods , 2007 .

[19]  Alain Maquet,et al.  Review on metabolomics for food authentication , 2014 .

[20]  Saskia M. van Ruth,et al.  Analytical techniques combined with chemometrics for authentication and determination of contaminants in condiments: A review , 2015 .

[21]  Constantinos A. Georgiou,et al.  Multi-element and multi-isotope-ratio analysis to determine the geographical origin of foods in the European Union , 2012 .

[22]  M. Hohmann,et al.  Differentiation of Organically and Conventionally Grown Tomatoes by Chemometric Analysis of Combined Data from Proton Nuclear Magnetic Resonance and Mid-infrared Spectroscopy and Stable Isotope Analysis. , 2015, Journal of agricultural and food chemistry.

[23]  F. Lisacek,et al.  Pathway analysis and transcriptomics improve protein identification by shotgun proteomics from samples comprising small number of cells - a benchmarking study , 2014, BMC Genomics.

[24]  K. Dreisewerd.  Recent methodological advances in MALDI mass spectrometry , 2014, Analytical and Bioanalytical Chemistry.

[25]  Ilias Kyriazakis,et al.  Trace mineral content of conventional, organic and courtyard eggs analysed by inductively coupled plasma mass spectrometry (ICP-MS) , 2009 .

[26]  M. Koudelka-Hep,et al.  Electronic noses – A mini-review , 1999 .

[27]  J. Spink,et al.  Development and application of a database of food ingredient fraud and economically motivated adulteration from 1980 to 2010. , 2012, Journal of food science.

[29]  Food Analysis , 2017 .

[30]  S. Ruth,et al.  An overview of analytical methods for determining the geographical origin of food products , 2008 .

[31]  Daniel Cozzolino,et al.  Recent Trends on the Use of Infrared Spectroscopy to Trace and Authenticate Natural and Agricultural Food Products , 2012 .

[32]  R. Marchelli,et al.  Food analysis and food authentication by peptide nucleic acid (PNA)-based technologies. , 2011, Chemical Society reviews.

[33]  Y. Hsieh,et al.  Monoclonal antibody specific to a major fish allergen: parvalbumin. , 2009, Journal of food protection.

[34]  Tibor Cserháti,et al.  Chromatography in authenticity and traceability tests of vegetable oils and dairy products: a review. , 2005, Biomedical chromatography : BMC.

[35]  Aly Farag El Sheikha,et al.  Determination of cheese origin by using 16S rDNA fingerprinting of bacteria communities by PCR–DGGE: Preliminary application to traditional Minas cheese , 2013 .