Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2015, Article ID 365794, 14 pages
http://dx.doi.org/10.1155/2015/365794
Review Article

Towards a Universal Approach Based on Omics Technologies for the Quality Control of Food

1FEM2 Ambiente s.r.l., P.za della Scienza 2, 20126 Milan, Italy
2ZooPlantLab, Department of Biotechnology and Biosciences, University of Milano-Bicocca, P.za della Scienza 2, 20126 Milan, Italy
3BioNMR Lab, Department of Biotechnology and Biosciences, University of Milano-Bicocca, P.za della Scienza 2, 20126 Milan, Italy

Received 29 July 2015; Accepted 19 November 2015

Academic Editor: Vasilis P. Valdramidis

Copyright © 2015 Emanuele Ferri et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. Galimberti, F. De Mattia, A. Losa et al., “DNA barcoding as a new tool for food traceability,” Food Research International, vol. 50, no. 1, pp. 55–63, 2013. View at Publisher · View at Google Scholar · View at Scopus
  2. C. Byrd-Bredbenner, M. N. Cohn, J. M. Farber et al., “Food safety considerations for innovative nutrition solutions,” Annals of the New York Academy of Sciences, vol. 1347, no. 1, pp. 29–44, 2015. View at Publisher · View at Google Scholar
  3. B. C. Remington, J. L. Baumert, W. M. Blom, G. F. Houben, S. L. Taylor, and A. G. Kruizinga, “Unintended allergens in precautionary labelled and unlabelled products pose significant risks to UK allergic consumers,” Allergy, vol. 70, no. 7, pp. 813–819, 2015. View at Publisher · View at Google Scholar
  4. W. Van Rijswijk and L. J. Frewer, “Consumer perceptions of food quality and safety and their relation to traceability,” British Food Journal, vol. 110, no. 10, pp. 1034–1046, 2008. View at Publisher · View at Google Scholar · View at Scopus
  5. W. Van Rijswijk and L. J. Frewer, “Consumer needs and requirements for food and ingredient traceability information,” International Journal of Consumer Studies, vol. 36, no. 3, pp. 282–290, 2012. View at Publisher · View at Google Scholar · View at Scopus
  6. G. Nocella, D. Romano, and G. Stefani, “Consumers' attitudes, trust and willingness to pay for food information,” International Journal of Consumer Studies, vol. 38, no. 2, pp. 153–165, 2014. View at Publisher · View at Google Scholar · View at Scopus
  7. V. García-Cañas, C. Simó, M. Herrero, E. Ibáñez, and A. Cifuentes, “Present and future challenges in food analysis: foodomics,” Analytical Chemistry, vol. 84, no. 23, pp. 10150–10159, 2012. View at Publisher · View at Google Scholar · View at Scopus
  8. M. J. Myers, “Molecular identification of animal species in food: transition from research laboratories to the regulatory laboratories,” Veterinary Journal, vol. 190, no. 1, pp. 7–8, 2011. View at Publisher · View at Google Scholar · View at Scopus
  9. V. Fusco and G. M. Quero, “Culture-dependent and culture-independent nucleic-acid-based methods used in the microbial safety assessment of milk and dairy products,” Comprehensive Reviews in Food Science and Food Safety, vol. 13, no. 4, pp. 493–537, 2014. View at Publisher · View at Google Scholar · View at Scopus
  10. D. G. Newell, M. Koopmans, L. Verhoef et al., “Food-borne diseases—the challenges of 20 years ago still persist while new ones continue to emerge,” International Journal of Food Microbiology, vol. 139, no. 1, pp. S3–S15, 2010. View at Publisher · View at Google Scholar · View at Scopus
  11. B. R. Jackson, P. M. Griffin, D. Cole, K. A. Walsh, and S. J. Chai, “Outbreak-associated Salmonella enterica serotypes and food commodities, United States, 1998–2008,” Emerging Infectious Diseases, vol. 19, no. 8, pp. 1239–1244, 2013. View at Publisher · View at Google Scholar · View at Scopus
  12. L. Settanni and A. Corsetti, “The use of multiplex PCR to detect and differentiate food- and beverage-associated microorganisms: a review,” Journal of Microbiological Methods, vol. 69, no. 1, pp. 1–22, 2007. View at Publisher · View at Google Scholar · View at Scopus
  13. M. P. Doyle and R. L. Buchanan, Eds., Food Microbiology: Fundamentals and Frontiers, ASM Press, Washington, DC, USA, 4th edition, 2013.
  14. D. Ercolini, “High-throughput sequencing and metagenomics: moving forward in the culture-independent analysis of food microbial ecology,” Applied and Environmental Microbiology, vol. 79, no. 10, pp. 3148–3155, 2013. View at Publisher · View at Google Scholar · View at Scopus
  15. S. Ceuppens, D. Li, M. Uyttendaele et al., “Molecular methods in food safety microbiology: interpretation and implications of nucleic acid detection,” Comprehensive Reviews in Food Science and Food Safety, vol. 13, no. 4, pp. 551–577, 2014. View at Publisher · View at Google Scholar · View at Scopus
  16. A. Galimberti, A. Bruno, V. Mezzasalma, F. De Mattia, I. Bruni, and M. Labra, “Emerging DNA-based technologies to characterize food ecosystems,” Food Research International, vol. 69, pp. 424–433, 2015. View at Publisher · View at Google Scholar · View at Scopus
  17. A. M. Almeida, A. Bassols, E. Bendixen et al., “Animal board invited review: advances in proteomics for animal and food sciences,” Animal, vol. 9, no. 1, pp. 1–17, 2014. View at Publisher · View at Google Scholar · View at Scopus
  18. I. Mafra, I. M. P. L. V. O. Ferreira, and M. B. P. P. Oliveira, “Food authentication by PCR-based methods,” European Food Research and Technology, vol. 227, no. 3, pp. 649–665, 2008. View at Publisher · View at Google Scholar · View at Scopus
  19. Y.-J. Park, J. K. Lee, and N.-S. Kim, “Simple sequence repeat polymorphisms (SSRPs) for evaluation of molecular diversity and germplasm classification of minor crops,” Molecules, vol. 14, no. 11, pp. 4546–4569, 2009. View at Publisher · View at Google Scholar · View at Scopus
  20. T. Bauer, P. Weller, W. P. Hammes, and C. Hertel, “The effect of processing parameters on DNA degradation in food,” European Food Research and Technology, vol. 217, no. 4, pp. 338–343, 2003. View at Publisher · View at Google Scholar · View at Scopus
  21. Ö. Aslan, R. M. Hamill, T. Sweeney, W. Reardon, and A. M. Mullen, “Integrity of nuclear genomic deoxyribonucleic acid in cooked meat: implications for food traceability,” Journal of Animal Science, vol. 87, no. 1, pp. 57–61, 2009. View at Publisher · View at Google Scholar · View at Scopus
  22. M. T. Cimino, “Successful isolation and PCR amplification of DNA from national institute of standards and technology herbal dietary supplement standard reference material powders and extracts,” Planta Medica, vol. 76, no. 5, pp. 495–497, 2010. View at Publisher · View at Google Scholar · View at Scopus
  23. J. P. Llongueras, S. Nair, D. Salas-Leiva, and A. E. Schwarzbach, “Comparing DNA extraction methods for analysis of botanical materials found in anti-diabetic supplements,” Molecular Biotechnology, vol. 53, no. 3, pp. 249–256, 2013. View at Publisher · View at Google Scholar · View at Scopus
  24. D. I. Ellis, V. L. Brewster, W. B. Dunn, J. W. Allwood, A. P. Golovanov, and R. Goodacre, “Fingerprinting food: current technologies for the detection of food adulteration and contamination,” Chemical Society Reviews, vol. 41, no. 17, pp. 5706–5727, 2012. View at Publisher · View at Google Scholar · View at Scopus
  25. P. Kumar, V. K. Gupta, A. K. Misra, D. R. Modi, and B. K. Pandey, “Potential of molecular markers in plant biotechnology,” Plant Omics Journal, vol. 2, no. 4, pp. 141–162, 2009. View at Google Scholar
  26. M. Labra, S. Imazio, F. Grassi et al., “Molecular approach to assess the origin of cv. Marzemino,” Vitis, vol. 42, no. 3, pp. 137–140, 2003. View at Google Scholar · View at Scopus
  27. F. De Mattia, S. Imazio, F. Grassi et al., “Genetic characterization of Sardinia grapevine cultivars by SSR markers analysis,” Journal International des Sciences de la Vigne et du Vin, vol. 41, no. 4, pp. 175–184, 2007. View at Google Scholar · View at Scopus
  28. I. J. Nijman, M. Otsen, E. L. C. Verkaar et al., “Hybridization of banteng (Bos javanicus) and zebu (Bos indicus) revealed by mitochondrial DNA, satellite DNA, AFLP and microsatellites,” Heredity, vol. 90, no. 1, pp. 10–16, 2003. View at Publisher · View at Google Scholar · View at Scopus
  29. The Bovine HapMap Consortium, “Genome-wide survey of SNP variation uncovers the genetic structure of cattle breeds,” Science, vol. 324, no. 5926, pp. 528–532, 2009. View at Publisher · View at Google Scholar
  30. N. Z. Ballin, “Authentication of meat and meat products,” Meat Science, vol. 86, no. 3, pp. 577–587, 2010. View at Publisher · View at Google Scholar · View at Scopus
  31. H.-Y. Chuang, H.-S. Lur, K.-K. Hwu, and M.-C. Chang, “Authentication of domestic Taiwan rice varieties based on fingerprinting analysis of microsatellite DNA markers,” Botanical Studies, vol. 52, no. 4, pp. 393–405, 2011. View at Google Scholar · View at Scopus
  32. M. Labra, M. Winfield, A. Ghiani et al., “Genetic studies on Trebbiano and morphologically related varieties by SSR and AFLP markers,” Vitis, vol. 40, no. 4, pp. 187–190, 2001. View at Google Scholar · View at Scopus
  33. G. V. Jones, M. A. White, O. R. Cooper, and K. Storchmann, “Climate change and global wine quality,” Climatic Change, vol. 73, no. 3, pp. 319–343, 2005. View at Publisher · View at Google Scholar · View at Scopus
  34. G. Martins, C. Miot-Sertier, B. Lauga et al., “Grape berry bacterial microbiota: impact of the ripening process and the farming system,” International Journal of Food Microbiology, vol. 158, no. 2, pp. 93–100, 2012. View at Publisher · View at Google Scholar · View at Scopus
  35. R. Ferrise, G. Trombi, M. Moriondo, and M. Bindi, “Climate change and grapevines: a simulation study for the mediterranean basin,” Journal of Wine Economics, pp. 1–17, 2014. View at Publisher · View at Google Scholar
  36. M. L. Jiménez-Pranteda, A. Pérez-Davó, M. Monteoliva-Sánchez, A. Ramos-Cormenzana, and M. Aguilera, “Food omics validation: towards understanding key features for gut microbiota, probiotics and human health,” Food Analytical Methods, vol. 8, no. 2, pp. 272–289, 2015. View at Publisher · View at Google Scholar · View at Scopus
  37. M. Casiraghi, M. Labra, E. Ferri, A. Galimberti, and F. de Mattia, “DNA barcoding: a six-question tour to improve users' awareness about the method,” Briefings in Bioinformatics, vol. 11, no. 4, pp. 440–453, 2010. View at Publisher · View at Google Scholar · View at Scopus
  38. P. D. N. Hebert, S. Ratnasingham, and J. R. de Waard, “Barcoding animal life: cytochrome c oxidase subunit 1 divergences among closely related species,” Proceedings of the Royal Society B: Biological Sciences, vol. 270, supplement 1, pp. S96–S99, 2003. View at Publisher · View at Google Scholar · View at Scopus
  39. P. M. Hollingsworth, S. W. Graham, and D. P. Little, “Choosing and using a plant DNA barcode,” PLoS ONE, vol. 6, no. 5, Article ID e19254, 2011. View at Publisher · View at Google Scholar · View at Scopus
  40. M. L. Hollingsworth, A. Andra Clark, L. L. Forrest et al., “Selecting barcoding loci for plants: evaluation of seven candidate loci with species-level sampling in three divergent groups of land plants,” Molecular Ecology Resources, vol. 9, no. 2, pp. 439–457, 2009. View at Publisher · View at Google Scholar · View at Scopus
  41. W. J. Kress, D. L. Erickson, N. G. Swenson, J. Thompson, M. Uriarte, and J. K. Zimmerman, “Advances in the use of DNA barcodes to build a community phylogeny for tropical trees in a Puerto Rican forest dynamics plot,” PLoS ONE, vol. 5, no. 11, Article ID e15409, 2010. View at Publisher · View at Google Scholar
  42. A. Galimberti, F. De Mattia, I. Bruni et al., “A DNA barcoding approach to characterize pollen collected by honeybees,” PLoS ONE, vol. 9, no. 10, Article ID e108344, 2014. View at Publisher · View at Google Scholar · View at Scopus
  43. K. S. Burgess, A. J. Fazekas, P. R. Kesanakurti et al., “Discriminating plant species in a local temperate flora using the rbcL+matK DNA barcode,” Methods in Ecology and Evolution, vol. 2, no. 4, pp. 333–340, 2011. View at Publisher · View at Google Scholar · View at Scopus
  44. F. De Mattia, I. Bruni, A. Galimberti, F. Cattaneo, M. Casiraghi, and M. Labra, “A comparative study of different DNA barcoding markers for the identification of some members of Lamiacaea,” Food Research International, vol. 44, no. 3, pp. 693–702, 2011. View at Publisher · View at Google Scholar · View at Scopus
  45. P. Gaubert, F. Njiokou, A. Olayemi et al., “Bushmeat genetics: setting up a reference framework for the DNA typing of African forest bushmeat,” Molecular Ecology Resources, vol. 15, no. 3, pp. 633–651, 2015. View at Publisher · View at Google Scholar
  46. H. A. Raja, T. R. Baker, J. G. Little, and N. H. Oberlies, “DNA barcoding for identification of species in mushrooms: a component of product certification,” Planta Medica, vol. 80, no. 10, article PR4, 2014. View at Publisher · View at Google Scholar
  47. R. Khaksar, T. Carlson, D. W. Schaffner et al., “Unmasking seafood mislabeling in U.S. markets: DNA barcoding as a unique technology for food authentication and quality control,” Food Control, vol. 56, pp. 71–76, 2015. View at Publisher · View at Google Scholar
  48. S. Ratnasingham and P. D. N. Hebert, “BOLD: the barcode of life data system (http://www.barcodinglife.org),” Molecular Ecology Notes, vol. 7, no. 3, pp. 355–364, 2007. View at Publisher · View at Google Scholar
  49. S. Ratnasingham and P. D. N. Hebert, “A DNA-based registry for all animal species: the Barcode Index Number (BIN) System,” PLoS ONE, vol. 8, no. 7, Article ID e66213, 2013. View at Publisher · View at Google Scholar · View at Scopus
  50. S. Becker, R. Hanner, and D. Steinke, “Five years of FISH-BOL: brief status report,” Mitochondrial DNA, vol. 22, no. 1, pp. 3–9, 2011. View at Publisher · View at Google Scholar · View at Scopus
  51. M. Barbuto, A. Galimberti, E. Ferri et al., “DNA barcoding reveals fraudulent substitutions in shark seafood products: the Italian case of ‘palombo’ (Mustelus spp.),” Food Research International, vol. 43, no. 1, pp. 376–381, 2010. View at Publisher · View at Google Scholar · View at Scopus
  52. H. F. Yancy, T. S. Zemlak, J. A. Mason et al., “Potential use of DNA barcodes in regulatory science: applications of the regulatory fish encyclopedia,” Journal of Food Protection, vol. 71, no. 1, pp. 210–217, 2008. View at Google Scholar · View at Scopus
  53. Y. Kikkawa, T. Takada, Sutopo et al., “Phylogenies using mtDNA and SRY provide evidence for male-mediated introgression in Asian domestic cattle,” Animal Genetics, vol. 34, no. 2, pp. 96–101, 2003. View at Publisher · View at Google Scholar · View at Scopus
  54. A. Nemeth, A. Wurz, L. Artim et al., “Sensitive PCR analysis of animal tissue samples for fragments of endogenous and transgenic plant DNA,” Journal of Agricultural and Food Chemistry, vol. 52, no. 20, pp. 6129–6135, 2004. View at Publisher · View at Google Scholar · View at Scopus
  55. E. Ponzoni, F. Mastromauro, S. Gianì, and D. Breviario, “Traceability of plant diet contents in raw cow milk samples,” Nutrients, vol. 1, no. 2, pp. 251–262, 2009. View at Publisher · View at Google Scholar · View at Scopus
  56. A. Galimberti, M. Labra, A. Sandionigi, A. Bruno, V. Mezzasalma, and F. De Mattia, “DNA barcoding for minor crops and food traceability,” Advances in Agriculture, vol. 2014, Article ID 831875, 8 pages, 2014. View at Publisher · View at Google Scholar
  57. S. Nicolè, D. L. Erickson, D. Ambrosi et al., “Biodiversity studies in Phaseolus species by DNA barcoding,” Genome, vol. 54, no. 7, pp. 529–545, 2011. View at Publisher · View at Google Scholar · View at Scopus
  58. V. A. Parvathy, V. P. Swetha, T. E. Sheeja, and B. Sasikumar, “Detection of plant-based adulterants in turmeric powder using DNA barcoding,” Pharmaceutical Biology, vol. 53, no. 12, pp. 1774–1779, 2015. View at Publisher · View at Google Scholar
  59. A. T. Uncu, A. O. Uncu, A. Frary, and S. Doganlar, “Authentication of botanical origin in herbal teas by plastid non-coding DNA length polymorphisms,” Journal of Agricultural and Food Chemistry, vol. 63, no. 25, pp. 5920–5929, 2015. View at Publisher · View at Google Scholar
  60. P. Mishra, A. Kumar, A. Nagireddy et al., “DNA barcoding: an efficient tool to overcome authentication challenges in the herbal market,” Plant Biotechnology Journal, 2015. View at Publisher · View at Google Scholar
  61. I. Bruni, A. Galimberti, L. Caridi et al., “A DNA barcoding approach to identify plant species in multiflower honey,” Food Chemistry, vol. 170, pp. 308–315, 2015. View at Publisher · View at Google Scholar · View at Scopus
  62. I. Bruni, F. De Mattia, A. Galimberti et al., “Identification of poisonous plants by DNA barcoding approach,” International Journal of Legal Medicine, vol. 124, no. 6, pp. 595–603, 2010. View at Publisher · View at Google Scholar · View at Scopus
  63. S. Federici, D. Fontana, A. Galimberti et al., “A rapid diagnostic approach to identify poisonous plants using DNA barcoding data,” Plant Biosystems, vol. 149, no. 3, 2015. View at Publisher · View at Google Scholar · View at Scopus
  64. M. Casiraghi, M. Labra, E. Ferri, A. Galimberti, and F. De Mattia, “DNA barcoding: theoretical aspects and practical applications,” in Tools for Identifying Biodiversity: Progress and Problems, P. L. Nimis and R. Vignes Lebbe, Eds., pp. 269–273, Edizioni Università di Trieste, Trieste, Italy, 2010. View at Google Scholar
  65. T. Hidayat, A. Pancoro, and D. Kusumawaty, “Utility of matK gene to assess evolutionary relationship of genus Mangifera (anacardiaceae) in Indonesia and Thailand,” Biotropia, vol. 18, no. 2, pp. 74–80, 2011. View at Google Scholar
  66. T. Xin, H. Yao, H. Gao et al., “Super food Lycium barbarum (Solanaceae) traceability via an internal transcribed spacer 2 barcode,” Food Research International, vol. 54, no. 2, pp. 1699–1704, 2013. View at Publisher · View at Google Scholar · View at Scopus
  67. L. Jaakola, M. Suokas, and H. Häggman, “Novel approaches based on DNA barcoding and high-resolution melting of amplicons for authenticity analyses of berry species,” Food Chemistry, vol. 123, no. 2, pp. 494–500, 2010. View at Publisher · View at Google Scholar · View at Scopus
  68. T. Hidayat, F. I. Abdullah, C. Kuppusamy, A. A. Samad, and A. Wagiran, “Molecular identification of Malaysian pineapple cultivar based on internal transcribed spacer region,” APCBEE Procedia, vol. 4, pp. 146–151, 2012. View at Publisher · View at Google Scholar
  69. N. Kane, S. Sveinsson, H. Dempewolf et al., “Ultra-barcoding in cacao (Theobroma spp.; malvaceae) using whole chloroplast genomes and nuclear ribosomal DNA,” American Journal of Botany, vol. 99, no. 2, pp. 320–329, 2012. View at Publisher · View at Google Scholar · View at Scopus
  70. M. R. Enan and A. Ahmed, “DNA barcoding based on plastid matK and RNA polymerase for assessing the genetic identity of date (Phoenix dactylifera L.) cultivars,” Genetics and Molecular Research, vol. 13, no. 2, pp. 3527–3536, 2014. View at Publisher · View at Google Scholar · View at Scopus
  71. R. L. Jarret, “DNA barcoding in a crop genebank: the Capsicum annuum species complex,” The Open Biology Journal, vol. 1, no. 1, pp. 35–42, 2008. View at Publisher · View at Google Scholar
  72. I. Ganopoulos, P. Madesis, N. Darzentas, A. Argiriou, and A. Tsaftaris, “Barcode High Resolution Melting (Bar-HRM) analysis for detection and quantification of PDO ‘fava Santorinis’ (Lathyrus clymenum) adulterants,” Food Chemistry, vol. 133, no. 2, pp. 505–512, 2012. View at Publisher · View at Google Scholar · View at Scopus
  73. P. Madesis, I. Ganopoulos, A. Anagnostis, and A. Tsaftaris, “The application of Bar-HRM (Barcode DNA-High Resolution Melting) analysis for authenticity testing and quantitative detection of bean crops (Leguminosae) without prior DNA purification,” Food Control, vol. 25, no. 2, pp. 576–582, 2012. View at Publisher · View at Google Scholar · View at Scopus
  74. S. Federici, A. Galimberti, F. Bartolucci et al., “DNA barcoding to analyse taxonomically complex groups in plants: the case of Thymus (Lamiaceae),” Botanical Journal of the Linnean Society, vol. 171, no. 4, pp. 687–699, 2013. View at Publisher · View at Google Scholar · View at Scopus
  75. A. Gismondi, F. Fanali, J. M. M. Labarga, M. G. Caiola, and A. Canini, “Crocus sativus L. genomics and different DNA barcode applications,” Plant Systematics and Evolution, vol. 299, no. 10, pp. 1859–1863, 2013. View at Publisher · View at Google Scholar · View at Scopus
  76. V. A. Parvathy, V. P. Swetha, T. E. Sheeja, N. K. Leela, B. Chempakam, and B. Sasikumar, “DNA barcoding to detect chilli adulteration in traded black pepper powder,” Food Biotechnology, vol. 28, no. 1, pp. 25–40, 2014. View at Publisher · View at Google Scholar · View at Scopus
  77. M. Wang, H.-X. Zhao, L. Wang et al., “Potential use of DNA barcoding for the identification of Salvia based on cpDNA and nrDNA sequences,” Gene, vol. 528, no. 2, pp. 206–215, 2013. View at Publisher · View at Google Scholar · View at Scopus
  78. M. Y. Stoeckle, C. C. Gamble, R. Kirpekar, G. Young, S. Ahmed, and D. P. Little, “Commercial teas highlight plant DNA barcode identification successes and obstacles,” Scientific Reports, vol. 1, article 42, 2011. View at Publisher · View at Google Scholar · View at Scopus
  79. V. A. Parvathy, V. p. Swetha, T. E. Sheeja, and B. Sasikumar, “Detection of plant-based adulterants in turmeric powder using DNA barcoding,” Pharmaceutical Biology, vol. 53, no. 12, pp. 1774–1779, 2015. View at Publisher · View at Google Scholar
  80. M. Li, K.-L. Wong, W.-H. Chan et al., “Establishment of DNA barcodes for the identification of the botanical sources of the Chinese ‘cooling’ beverage,” Food Control, vol. 25, no. 2, pp. 758–766, 2012. View at Publisher · View at Google Scholar · View at Scopus
  81. M. Arleo, F. Ruibal, J. Pereyra, E. Miquel, M. Fernández, and C. Martínez, “A DNA-based approach to discriminate between quince and apple in quince jams,” International Food Research Journal, vol. 19, no. 4, pp. 1471–1477, 2012. View at Google Scholar · View at Scopus
  82. B. T. M. Dentinger, M. Y. Didukh, and J.-M. Moncalvo, “Comparing COI and ITS as DNA barcode markers for mushrooms and allies (Agaricomycotina),” PLoS ONE, vol. 6, no. 9, Article ID e25081, 2011. View at Publisher · View at Google Scholar · View at Scopus
  83. P. Khaund and S. R. Joshi, “DNA barcoding of wild edible mushrooms consumed by the ethnic tribes of India,” Gene, vol. 550, no. 1, pp. 123–130, 2014. View at Publisher · View at Google Scholar · View at Scopus
  84. A. Ardura, A. R. Linde, J. C. Moreira, and E. Garcia-Vazquez, “DNA barcoding for conservation and management of Amazonian commercial fish,” Biological Conservation, vol. 143, no. 6, pp. 1438–1443, 2010. View at Publisher · View at Google Scholar · View at Scopus
  85. A. Ardura, S. Planes, and E. Garcia-Vazquez, “Applications of DNA barcoding to fish landings: authentication and diversity assessment,” ZooKeys, vol. 365, pp. 49–65, 2013. View at Publisher · View at Google Scholar · View at Scopus
  86. D. C. Carvalho, R. M. Palhares, M. G. Drummond, and T. B. Frigo, “DNA Barcoding identification of commercialized seafood in South Brazil: a governmental regulatory forensic program,” Food Control, vol. 50, pp. 784–788, 2015. View at Publisher · View at Google Scholar · View at Scopus
  87. P. J. Smith, S. M. McVeagh, and D. Steinke, “DNA barcoding for the identification of smoked fish products,” Journal of Fish Biology, vol. 72, no. 2, pp. 464–471, 2008. View at Publisher · View at Google Scholar · View at Scopus
  88. A. Abdullah and H. Rehbein, “Authentication of raw and processed tuna from Indonesian markets using DNA barcoding, nuclear gene and character-based approach,” European Food Research and Technology, vol. 239, no. 4, pp. 695–706, 2014. View at Publisher · View at Google Scholar · View at Scopus
  89. A. Galal-Khallaf, A. Ardura, K. Mohammed-Geba, Y. J. Borrell, and E. Garcia-Vazquez, “DNA barcoding reveals a high level of mislabeling in Egyptian fish fillets,” Food Control, vol. 46, pp. 441–445, 2014. View at Publisher · View at Google Scholar · View at Scopus
  90. A. Mottola, P. Marchetti, M. Bottaro, and A. Di Pinto, “DNA barcoding for species identification in prepared fishery products,” Albanian Journal of Agricultural Sciences, vol. 13, pp. 447–453, 2014. View at Google Scholar
  91. M. A. de Brito, H. Schneider, I. Sampaio, and S. Santos, “DNA barcoding reveals high substitution rate and mislabeling in croaker fillets (Sciaenidae) marketed in Brazil: the case of ‘pescada branca’ (Cynoscion leiarchus and Plagioscion squamosissimus),” Food Research International, vol. 70, pp. 40–46, 2015. View at Publisher · View at Google Scholar · View at Scopus
  92. A. Di Pinto, P. Marchetti, A. Mottola et al., “Species identification in fish fillet products using DNA barcoding,” Fisheries Research, vol. 170, pp. 9–13, 2015. View at Publisher · View at Google Scholar
  93. B. A. Maralit, R. D. Aguila, M. F. H. Ventolero, S. K. L. Perez, D. A. Willette, and M. D. Santos, “Detection of mislabeled commercial fishery by-products in the Philippines using DNA barcodes and its implications to food traceability and safety,” Food Control, vol. 33, no. 1, pp. 119–125, 2013. View at Publisher · View at Google Scholar · View at Scopus
  94. K. Nagalakshmi, P. Annam, G. Venkateshwarlu, G. Pathakota, and W. S. Lakra, “Mislabeling in Indian seafood: an investigation using DNA barcoding,” Food Control, vol. 59, pp. 196–200, 2016. View at Publisher · View at Google Scholar
  95. R. Lamendin, K. Miller, and R. D. Ward, “Labelling accuracy in Tasmanian seafood: an investigation using DNA barcoding,” Food Control, vol. 47, pp. 436–443, 2015. View at Publisher · View at Google Scholar · View at Scopus
  96. A. M. Pappalardo and V. Ferrito, “DNA barcoding species identification unveils mislabeling of processed flatfish products in southern Italy markets,” Fisheries Research, vol. 164, pp. 153–158, 2015. View at Publisher · View at Google Scholar · View at Scopus
  97. A. Armani, L. Guardone, R. La Castellana, D. Gianfaldoni, A. Guidi, and L. Castigliego, “DNA barcoding reveals commercial and health issues in ethnic seafood sold on the Italian market,” Food Control, vol. 55, pp. 206–214, 2015. View at Publisher · View at Google Scholar
  98. P. A. Haye, N. I. Segovia, R. Vera, M. D. L. Á. Gallardo, and C. Gallardo-Escárate, “Authentication of commercialized crab-meat in Chile using DNA Barcoding,” Food Control, vol. 25, no. 1, pp. 239–244, 2012. View at Publisher · View at Google Scholar · View at Scopus
  99. V. R. Vartak, R. Narasimmalu, P. K. Annam, D. P. Singh, and W. S. Lakra, “DNA barcoding detected improper labelling and supersession of crab food served by restaurants in India,” Journal of the Science of Food and Agriculture, vol. 95, no. 2, pp. 359–366, 2015. View at Publisher · View at Google Scholar · View at Scopus
  100. H. Kim, K. S. Kumar, S. Y. Hwang, B. Kang, H. Moon, and K. Shin, “Utility of stable isotope and COI gene sequencing analysis in inferring origin and authentication of Hairtail fish and Shrimp,” Journal of Agricultural and Food Chemistry, vol. 63, no. 22, pp. 5548–5556, 2015. View at Publisher · View at Google Scholar
  101. F. Debenedetti, A. Dalmasso, M. T. Bottero et al., “Application of DNA barcoding for controlling of the species from Octopus genus,” Italian Journal of Food Safety, vol. 3, no. 4, pp. 196–199, 2014. View at Publisher · View at Google Scholar · View at Scopus
  102. S. Bitanyi, G. Bjørnstad, M. Nesje, E. M. Ernest, R. H. Mdegela, and K. H. Røed, “Molecular identification versus local people's information for accurate estimates of bushmeat utilization from the Serengeti ecosystem, Tanzania,” African Journal of Biotechnology, vol. 11, no. 1, pp. 243–252, 2013. View at Publisher · View at Google Scholar · View at Scopus
  103. C. A. Quinto, R. Tinoco, and R. S. Hellberg, “DNA barcoding reveals mislabeling of game meat species on the US commercial market,” Food Control, vol. 59, pp. 386–392, 2016. View at Publisher · View at Google Scholar
  104. D. E. Kane and R. S. Hellberg, “Identification of species in ground meat products sold on the US commercial market using DNA-based methods,” Food Control, vol. 59, pp. 158–163, 2015. View at Publisher · View at Google Scholar
  105. Y. Cai, L. Zhang, F. Shen et al., “DNA barcoding of 18 species of Bovidae,” Chinese Science Bulletin, vol. 56, no. 2, pp. 164–168, 2011. View at Publisher · View at Google Scholar · View at Scopus
  106. L. Solieri, T. C. Dakal, and P. Giudici, “Next-generation sequencing and its potential impact on food microbial genomics,” Annals of Microbiology, vol. 63, no. 1, pp. 21–37, 2013. View at Publisher · View at Google Scholar · View at Scopus
  107. P. Madesis, I. Ganopoulos, I. Sakaridis, A. Argiriou, and A. Tsaftaris, “Advances of DNA-based methods for tracing the botanical origin of food products,” Food Research International, vol. 60, pp. 163–172, 2014. View at Publisher · View at Google Scholar · View at Scopus
  108. A. Ortola-Vidal, H. Schnerr, M. Rojmyr, F. Lysholm, and A. Knight, “Quantitative identification of plant genera in food products using PCR and Pyrosequencing technology,” Food Control, vol. 18, no. 8, pp. 921–927, 2007. View at Publisher · View at Google Scholar · View at Scopus
  109. A. Valentini, C. Miquel, and P. Taberlet, “DNA barcoding for honey biodiversity,” Diversity, vol. 2, no. 4, pp. 610–617, 2010. View at Publisher · View at Google Scholar · View at Scopus
  110. S. G. Newmaster, S. Ragupathy, and J. Janovec, “A botanical renaissance: state-of-the-art DNA bar coding facilitates an automated identification technology system for plants,” International Journal of Computer Applications in Technology, vol. 35, no. 1, pp. 50–60, 2009. View at Publisher · View at Google Scholar · View at Scopus
  111. F. R. Pinu, “Metabolomics—the new frontier in food safety and quality research,” Food Research International, vol. 72, pp. 80–81, 2015. View at Publisher · View at Google Scholar
  112. E. Trujillo, C. Davis, and J. Milner, “Nutrigenomics, proteomics, metabolomics, and the practice of dietetics,” Journal of the American Dietetic Association, vol. 106, no. 3, pp. 403–413, 2006. View at Publisher · View at Google Scholar · View at Scopus
  113. E. Schievano, C. Finotello, E. De Angelis, S. Mammi, and L. Navarini, “Rapid authentication of coffee blends and quantification of 16-O-methylcafestol in roasted coffee beans by nuclear magnetic resonance,” Journal of Agricultural and Food Chemistry, vol. 62, no. 51, pp. 12309–12314, 2014. View at Publisher · View at Google Scholar · View at Scopus
  114. L. L. Monti, C. A. Bustamante, S. Osorio et al., “Metabolic profiling of a range of peach fruit varieties reveals high metabolic diversity and commonalities and differences during ripening,” Food Chemistry, vol. 190, pp. 879–888, 2016. View at Publisher · View at Google Scholar
  115. H.-S. Son, G.-S. Hwang, H.-J. Ahn, W.-M. Park, C.-H. Lee, and Y.-S. Hong, “Characterization of wines from grape varieties through multivariate statistical analysis of 1H NMR spectroscopic data,” Food Research International, vol. 42, no. 10, pp. 1483–1491, 2009. View at Publisher · View at Google Scholar · View at Scopus
  116. V. Gallo, P. Mastrorilli, I. Cafagna et al., “Effects of agronomical practices on chemical composition of table grapes evaluated by NMR spectroscopy,” Journal of Food Composition and Analysis, vol. 35, no. 1, pp. 44–52, 2014. View at Publisher · View at Google Scholar · View at Scopus
  117. R. Díaz, O. J. Pozo, J. V. Sancho, and F. Hernández, “Metabolomic approaches for orange origin discrimination by ultra-high performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry,” Food Chemistry, vol. 157, pp. 84–93, 2014. View at Publisher · View at Google Scholar · View at Scopus
  118. L. R. Cagliani, N. Culeddu, M. Chessa, and R. Consonni, “NMR investigations for a quality assessment of Italian PDO saffron (Crocus sativus L.),” Food Control, vol. 50, pp. 342–348, 2015. View at Publisher · View at Google Scholar · View at Scopus
  119. F. Longobardi, A. Ventrella, C. Napoli et al., “Classification of olive oils according to geographical origin by using 1H NMR fingerprinting combined with multivariate analysis,” Food Chemistry, vol. 130, no. 1, pp. 177–183, 2012. View at Publisher · View at Google Scholar · View at Scopus
  120. F. Longobardi, D. Sacco, G. Casiello, A. Ventrella, and A. Sacco, “Characterization of the geographical and varietal origin of wheat and bread by means of nuclear magnetic resonance (NMR), isotope ratio mass spectrometry (IRMS) methods and chemometrics: a review,” Agricultural Sciences, vol. 6, no. 1, Article ID 53433, 2015. View at Publisher · View at Google Scholar
  121. E. Cubero-Leon, R. Peñalver, and A. Maquet, “Review on metabolomics for food authentication,” Food Research International, vol. 60, pp. 95–107, 2014. View at Publisher · View at Google Scholar · View at Scopus
  122. A. Trimigno, F. C. Marincola, N. Dellarosa, G. Picone, and L. Laghi, “Definition of food quality by NMR-based foodomics,” Current Opinion in Food Science, vol. 4, pp. 99–104, 2015. View at Publisher · View at Google Scholar
  123. L. Laghi, G. Picone, and F. Capozzi, “Nuclear magnetic resonance for foodomics beyond food analysis,” TrAC Trends in Analytical Chemistry, vol. 59, pp. 93–102, 2014. View at Publisher · View at Google Scholar · View at Scopus
  124. K. Dettmer, P. A. Aronov, and B. D. Hammock, “Mass spectrometry-based metabolomics,” Mass Spectrometry Reviews, vol. 26, no. 1, pp. 51–78, 2007. View at Publisher · View at Google Scholar · View at Scopus
  125. D. E. Garcia, E. E. Baidoo, P. I. Benke et al., “Separation and mass spectrometry in microbial metabolomics,” Current Opinion in Microbiology, vol. 11, no. 3, pp. 233–239, 2008. View at Publisher · View at Google Scholar · View at Scopus
  126. X. Li and C. Legido-Quigley, “Advances in separation science applied to metabonomics,” Electrophoresis, vol. 29, no. 18, pp. 3724–3736, 2008. View at Publisher · View at Google Scholar · View at Scopus
  127. H. J. Issaq, Q. N. Van, T. J. Waybright, G. M. Muschik, and T. D. Veenstra, “Analytical and statistical approaches to metabolomics research,” Journal of Separation Science, vol. 32, no. 13, pp. 2183–2199, 2009. View at Publisher · View at Google Scholar · View at Scopus
  128. J. Zhan, X.-J. Yu, Y.-Y. Zhong et al., “Generic and rapid determination of veterinary drug residues and other contaminants in raw milk by ultra performance liquid chromatography-tandem mass spectrometry,” Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences, vol. 906, pp. 48–57, 2012. View at Publisher · View at Google Scholar · View at Scopus
  129. A. Malachová, M. Sulyok, E. Beltrán, F. Berthiller, and R. Krska, “Optimization and validation of a quantitative liquid chromatography—tandem mass spectrometric method covering 295 bacterial and fungal metabolites including all regulated mycotoxins in four model food matrices,” Journal of Chromatography A, vol. 1362, pp. 145–156, 2014. View at Publisher · View at Google Scholar · View at Scopus
  130. P. Mazzei and A. Piccolo, “1H HRMAS-NMR metabolomic to assess quality and traceability of mozzarella cheese from Campania buffalo milk,” Food Chemistry, vol. 132, no. 3, pp. 1620–1627, 2012. View at Publisher · View at Google Scholar · View at Scopus
  131. C. Siciliano, E. Belsito, R. De Marco, M. L. Di Gioia, A. Leggio, and A. Liguori, “Quantitative determination of fatty acid chain composition in pork meat products by high resolution 1H NMR spectroscopy,” Food Chemistry, vol. 136, no. 2, pp. 546–554, 2013. View at Publisher · View at Google Scholar · View at Scopus
  132. T. H. Soininen, N. Jukarainen, S. O. K. Auriola, R. Julkunen-Tiitto, R. Karjalainen, and J. J. Vepsäläinen, “Quantitative metabolite profiling of edible onion species by NMR and HPLC-MS,” Food Chemistry, vol. 165, pp. 499–505, 2014. View at Publisher · View at Google Scholar · View at Scopus
  133. Y. Zhao, P. Chen, L. Lin, J. M. Harnly, L. Yu, and Z. Li, “Tentative identification, quantitation, and principal component analysis of green pu-erh, green, and white teas using UPLC/DAD/MS,” Food Chemistry, vol. 126, no. 3, pp. 1269–1277, 2011. View at Publisher · View at Google Scholar · View at Scopus
  134. J. L. Gonçalves, J. A. Figueira, F. P. Rodrigues et al., “A powerful methodological approach combining headspace solid phase microextraction, mass spectrometry and multivariate analysis for profiling the volatile metabolomic pattern of beer starting raw materials,” Food Chemistry, vol. 160, pp. 266–280, 2014. View at Publisher · View at Google Scholar · View at Scopus
  135. F. Wei, K. Furihata, M. Koda, F. Hu, T. Miyakawa, and M. Tanokura, “Roasting process of coffee beans as studied by nuclear magnetic resonance: time course of changes in composition,” Journal of Agricultural and Food Chemistry, vol. 60, no. 4, pp. 1005–1012, 2012. View at Publisher · View at Google Scholar · View at Scopus
  136. C. Airoldi, E. Sironi, C. Dias et al., “Natural compounds against Alzheimer's disease: molecular recognition of Aβ1–42 peptide by Salvia sclareoides extract and its major component, rosmarinic acid, as investigated by NMR,” Chemistry, vol. 8, no. 3, pp. 596–602, 2013. View at Publisher · View at Google Scholar · View at Scopus
  137. E. Sironi, L. Colombo, A. Lompo et al., “Natural compounds against neurodegenerative diseases: molecular characterization of the interaction of catechins from green tea with Aβ1-42, PrP106-126, and ataxin-3 oligomers,” Chemistry—A European Journal, vol. 20, no. 42, pp. 13793–13800, 2014. View at Publisher · View at Google Scholar · View at Scopus
  138. G. Jiang, S. Lin, L. Wen et al., “Identification of a novel phenolic compound in litchi (Litchi chinensis Sonn.) pericarp and bioactivity evaluation,” Food Chemistry, vol. 136, no. 2, pp. 563–568, 2013. View at Publisher · View at Google Scholar · View at Scopus
  139. E. K. Kemsley, G. Le Gall, J. R. Dainty et al., “Multivariate techniques and their application in nutrition: a metabolomics case study,” British Journal of Nutrition, vol. 98, no. 1, pp. 1–14, 2007. View at Publisher · View at Google Scholar · View at Scopus
  140. T. Skov, A. H. Honoré, H. M. Jensen, T. Næs, and S. B. Engelsen, “Chemometrics in foodomics: handling data structures from multiple analytical platforms,” Trends in Analytical Chemistry, vol. 60, pp. 71–79, 2014. View at Publisher · View at Google Scholar
  141. M. Labra, G. Moriondo, A. Schneider et al., “Biodiversity of grapevines (Vitis vinifera L.) grown in the Aosta valley,” Vitis, vol. 41, no. 2, pp. 89–92, 2002. View at Google Scholar · View at Scopus
  142. F. De Mattia, S. Imazio, F. Grassi et al., “Genetic characterization of sardinia grapevine cultivars by SSR markers analysis,” Journal International des Sciences de la Vigne et du Vin, vol. 41, no. 4, pp. 175–184, 2007. View at Google Scholar · View at Scopus
  143. R. Godelmann, F. Fang, E. Humpfer et al., “Targeted and nontargeted wine analysis by 1H NMR spectroscopy combined with multivariate statistical analysis. Differentiation of important parameters: grape variety, geographical origin, year of vintage,” Journal of Agricultural and Food Chemistry, vol. 61, no. 23, pp. 5610–5619, 2013. View at Publisher · View at Google Scholar · View at Scopus
  144. N. A. Bokulich, C. M. L. Joseph, G. Allen, A. K. Benson, and D. A. Mills, “Next-generation sequencing reveals significant bacterial diversity of botrytized wine,” PLoS ONE, vol. 7, no. 5, Article ID e36357, 2012. View at Publisher · View at Google Scholar · View at Scopus
  145. N. A. Bokulich, M. Ohta, P. M. Richardson, and D. A. Mills, “Monitoring seasonal changes in winery-resident microbiota,” PLoS ONE, vol. 8, no. 6, Article ID e66437, 2013. View at Publisher · View at Google Scholar · View at Scopus
  146. V. David, S. Terrat, K. Herzine et al., “High-throughput sequencing of amplicons for monitoring yeast biodiversity in must and during alcoholic fermentation,” Journal of Industrial Microbiology & Biotechnology, vol. 41, no. 5, pp. 811–821, 2014. View at Publisher · View at Google Scholar · View at Scopus
  147. C. Agrimonti, M. Vietina, S. Pafundo, and N. Marmiroli, “The use of food genomics to ensure the traceability of olive oil,” Trends in Food Science & Technology, vol. 22, no. 5, pp. 237–244, 2011. View at Publisher · View at Google Scholar · View at Scopus
  148. I. Ganopoulos, C. Bazakos, P. Madesis, P. Kalaitzis, and A. Tsaftaris, “Barcode DNA high-resolution melting (Bar-HRM) analysis as a novel close-tubed and accurate tool for olive oil forensic use,” Journal of the Science of Food and Agriculture, vol. 93, no. 9, pp. 2281–2286, 2013. View at Publisher · View at Google Scholar · View at Scopus
  149. A. Yilmaz, N. T. Nyberg, P. Mølgaard, J. Asili, and J. W. Jaroszewski, “1H NMR metabolic fingerprinting of saffron extracts,” Metabolomics, vol. 6, no. 4, pp. 511–517, 2010. View at Publisher · View at Google Scholar · View at Scopus
  150. A. B. Uryupin and A. S. Peregudov, “Application of NMR techniques to the determination of the composition of tobacco, coffee, and tea products,” Journal of Analytical Chemistry, vol. 68, no. 12, pp. 1021–1032, 2013. View at Publisher · View at Google Scholar · View at Scopus
  151. J. Giacometti, A. B. Tomljanović, and D. Josić, “Application of proteomics and metabolomics for investigation of food toxins,” Food Research International, vol. 54, no. 1, pp. 1042–1051, 2013. View at Publisher · View at Google Scholar · View at Scopus
  152. T. J. Montville and M. L. Chikindas, “Biological control of foodborne bacteria,” in Food Microbiology: Fundamentals and Frontiers, M. P. Doyle and R. L. Buchanan, Eds., pp. 803–822, ASM Press, Washington, DC, USA, 4th edition, 2013. View at Google Scholar
  153. R. Caraballo, H. Dong, J. P. Ribeiro, J. Jiménez-Barbero, and O. Ramström, “Direct STD NMR identification of β-galactosidase inhibitors from a virtual dynamic hemithioacetal system,” Angewandte Chemie—International Edition, vol. 49, no. 3, pp. 589–593, 2010. View at Publisher · View at Google Scholar · View at Scopus
  154. C. Airoldi, S. Sommaruga, S. Merlo et al., “Targeting bacterial membranes: NMR spectroscopy characterization of substrate recognition and binding requirements of D-arabinose-5-phosphate isomerase,” Chemistry, vol. 16, no. 6, pp. 1897–1902, 2010. View at Publisher · View at Google Scholar · View at Scopus
  155. C. Airoldi, S. Giovannardi, B. La Ferla, J. Jiménez-Barbero, and F. Nicotra, “Saturation transfer difference NMR experiments of membrane Proteins in living cells under HR-MAS conditions: the interaction of the SGLT1 co-transporter with its ligands,” Chemistry—A European Journal, vol. 17, no. 48, pp. 13395–13399, 2011. View at Publisher · View at Google Scholar · View at Scopus
  156. C. Airoldi, A. Palmioli, A. D'Urzo et al., “Glucose-derived Ras pathway inhibitors: evidence of Ras-ligand binding and Ras-GEF (Cdc25) interaction inhibition,” ChemBioChem, vol. 8, no. 12, pp. 1376–1379, 2007. View at Publisher · View at Google Scholar · View at Scopus
  157. A. Palmioli, E. Sacco, C. Airoldi et al., “Selective cytotoxicity of a bicyclic Ras inhibitor in cancer cells expressing K-RasG13D,” Biochemical and Biophysical Research Communications, vol. 386, no. 4, pp. 593–597, 2009. View at Publisher · View at Google Scholar · View at Scopus
  158. A. Bordoni and F. Capozzi, “Foodomics for healthy nutrition,” Current Opinion in Clinical Nutrition and Metabolic Care, vol. 17, no. 5, pp. 418–424, 2014. View at Publisher · View at Google Scholar · View at Scopus
  159. S. Chadio and B. Kotsampasi, “The role of early life nutrition in programming of reproductive function,” Journal of Developmental Origins of Health and Disease, vol. 5, no. 1, pp. 2–15, 2014. View at Publisher · View at Google Scholar · View at Scopus
  160. S. M. Solon-Biet, S. J. Mitchell, R. de Cabo, D. Raubenheimer, D. G. Le Couteur, and S. Simpson, “Macronutrients and caloric intake in health and longevity,” Journal of Endocrinology, 2015. View at Publisher · View at Google Scholar
  161. L. Haddad, E. Achadi, M. A. Bendech et al., “The global nutrition report 2014: actions and accountability to accelerate the world's progress on nutrition,” The Journal of Nutrition, vol. 145, no. 4, pp. 663–671, 2015. View at Publisher · View at Google Scholar
  162. A. Cifuentes, “Food analysis and foodomics,” Journal of Chromatography A, vol. 1216, no. 43, p. 7109, 2009. View at Publisher · View at Google Scholar · View at Scopus
  163. M. Herrero, V. García-Cañas, C. Simo, and A. Cifuentes, “Recent advances in the application of capillary electromigration methods for food analysis and Foodomics,” Electrophoresis, vol. 31, no. 1, pp. 205–228, 2010. View at Publisher · View at Google Scholar · View at Scopus
  164. C. M. Williams, J. M. Ordovas, D. Lairon et al., “The challenges for molecular nutrition research 1: linking genotype to healthy nutrition,” Genes and Nutrition, vol. 3, no. 2, pp. 41–49, 2008. View at Publisher · View at Google Scholar · View at Scopus
  165. J. Wittwer, I. Rubio-Aliaga, B. Hoeft, I. Bendik, P. Weber, and H. Daniel, “Nutrigenomics in human intervention studies: current status, lessons learned and future perspectives,” Molecular Nutrition & Food Research, vol. 55, no. 3, pp. 341–358, 2011. View at Publisher · View at Google Scholar · View at Scopus
  166. C. E. Smith, J. M. Ordovás, C. Sánchez-Moreno, Y.-C. Lee, and M. Garaulet, “Apolipoprotein A-II polymorphism: relationships to behavioural and hormonal mediators of obesity,” International Journal of Obesity, vol. 36, no. 1, pp. 130–136, 2012. View at Publisher · View at Google Scholar · View at Scopus
  167. D. Corella, D. K. Arnett, K. L. Tucker et al., “A high intake of saturated fatty acids strengthens the association between the fat mass and obesity-associated gene and BMI,” The Journal of Nutrition, vol. 141, no. 12, pp. 2219–2225, 2011. View at Publisher · View at Google Scholar · View at Scopus
  168. A. Valdés, C. Simó, C. Ibáñez et al., “Effect of dietary polyphenols on K562 leukemia cells: a foodomics approach,” Electrophoresis, vol. 33, no. 15, pp. 2314–2327, 2012. View at Publisher · View at Google Scholar · View at Scopus
  169. C. Ibáñez, A. Valdés, V. García-Cañas et al., “Global Foodomics strategy to investigate the health benefits of dietary constituents,” Journal of Chromatography A, vol. 1248, pp. 139–153, 2012. View at Publisher · View at Google Scholar · View at Scopus
  170. U. Anđelković, T. Martinović, and D. Josić, “Foodomic investigations of food allergies,” Current Opinion in Food Science, vol. 4, pp. 92–98, 2015. View at Publisher · View at Google Scholar
  171. D. Rešetar, S. K. Pavelić, and D. Josić, “Foodomics for investigations of food toxins,” Current Opinion in Food Science, vol. 4, pp. 86–91, 2015. View at Publisher · View at Google Scholar
  172. K. S. Vimaleswaran, C. I. Le Roy, and S. P. Claus, “Foodomics for personalized nutrition: how far are we?” Current Opinion in Food Science, vol. 4, pp. 129–135, 2015. View at Publisher · View at Google Scholar
  173. G. H. Beaton, J. Burema, and C. Ritenbaugh, “Errors in the interpretation of dietary assessments,” The American Journal of Clinical Nutrition, vol. 65, no. 4, pp. 1100S–1107S, 1997. View at Google Scholar · View at Scopus
  174. S. L. Casperson, J. Sieling, J. Moon, L. Johnson, J. N. Roemmich, and L. Whigham, “A mobile phone food record app to digitally capture dietary intake for adolescents in a free-living environment: usability study,” JMIR mHealth and uHealth, vol. 3, no. 1, article e30, 2015. View at Publisher · View at Google Scholar
  175. M. J. Hutchesson, M. E. Rollo, R. Callister, and C. E. Collins, “Self-monitoring of dietary intake by young women: online food records completed on computer or smartphone are as accurate as paper-based food records but more acceptable,” Journal of the Academy of Nutrition and Dietetics, vol. 115, no. 1, pp. 87–94, 2015. View at Publisher · View at Google Scholar · View at Scopus
  176. W. Zhang, Q. Yu, B. Siddiquie, A. Divakaran, and H. Sawhney, “‘Snap-n-Eat’ food recognition and nutrition estimation on a smartphone,” Journal of Diabetes Science and Technology, vol. 9, no. 3, pp. 525–533, 2015. View at Publisher · View at Google Scholar
  177. C. Behnke and S. Seo, “Using smartphone technology to assess the food safety practices of farmers’ market foodservice employees,” Journal of Foodservice Business Research, vol. 18, no. 1, pp. 1–19, 2015. View at Publisher · View at Google Scholar