Untargeted metabolomics with multivariate analysis to discriminate hazelnut (Corylus avellana L.) cultivars and their geographical origin.
authenticity
food metabolomics
food profiling
polyphenols
sterols
Journal
Journal of the science of food and agriculture
ISSN: 1097-0010
Titre abrégé: J Sci Food Agric
Pays: England
ID NLM: 0376334
Informations de publication
Date de publication:
30 Jan 2020
30 Jan 2020
Historique:
received:
17
07
2019
revised:
12
08
2019
accepted:
17
08
2019
pubmed:
23
8
2019
medline:
20
12
2019
entrez:
23
8
2019
Statut:
ppublish
Résumé
In the present study a metabolomics-based approach was used to discriminate among different hazelnut cultivars and to trace their geographical origins. Ultra-high-pressure liquid chromatography coupled to quadrupole-time-of-flight mass spectrometry (UHPLC-ESI/QTOF-MS) was used to profile phenolic and sterolic compounds. Compounds were identified against an in-house database using accurate monoisotopic mass and isotopic patterns. The screening approach was designed to discern 15 hazelnut cultivars and to discriminate among the geographical origins of six cultivars from the four main growing regions (Chile, Georgia, Italy, and Turkey). This approach allowed more than 1000 polyphenols and sterols to be annotated. The metabolomics data were elaborated with both unsupervised (hierarchical clustering) and supervised (orthogonal projections to latent structures discriminant analysis, OPLS-DA) statistics. These multivariate statistical tools allowed hazelnut samples to be discriminated, considering both 'cultivar type' and 'geographical origin'. Flavonoids (anthocyanins, flavanols and flavonols - VIP scores 1.34-1.49), phenolic acids (mainly hydroxycinnamics - VIP scores 1.35-1.55) together with cholesterol, ergosterol, and stigmasterol derivatives (VIP scores 1.34-1.49) were the best markers to discriminate samples according to geographical origin. This work illustrates the potential of untargeted profiling of phenolics and sterols based on UHPLC-ESI/QTOF mass spectrometry to discriminate hazelnut and support authenticity and origin. © 2019 Society of Chemical Industry.
Sections du résumé
BACKGROUND
BACKGROUND
In the present study a metabolomics-based approach was used to discriminate among different hazelnut cultivars and to trace their geographical origins. Ultra-high-pressure liquid chromatography coupled to quadrupole-time-of-flight mass spectrometry (UHPLC-ESI/QTOF-MS) was used to profile phenolic and sterolic compounds.
RESULTS
RESULTS
Compounds were identified against an in-house database using accurate monoisotopic mass and isotopic patterns. The screening approach was designed to discern 15 hazelnut cultivars and to discriminate among the geographical origins of six cultivars from the four main growing regions (Chile, Georgia, Italy, and Turkey). This approach allowed more than 1000 polyphenols and sterols to be annotated. The metabolomics data were elaborated with both unsupervised (hierarchical clustering) and supervised (orthogonal projections to latent structures discriminant analysis, OPLS-DA) statistics. These multivariate statistical tools allowed hazelnut samples to be discriminated, considering both 'cultivar type' and 'geographical origin'. Flavonoids (anthocyanins, flavanols and flavonols - VIP scores 1.34-1.49), phenolic acids (mainly hydroxycinnamics - VIP scores 1.35-1.55) together with cholesterol, ergosterol, and stigmasterol derivatives (VIP scores 1.34-1.49) were the best markers to discriminate samples according to geographical origin.
CONCLUSIONS
CONCLUSIONS
This work illustrates the potential of untargeted profiling of phenolics and sterols based on UHPLC-ESI/QTOF mass spectrometry to discriminate hazelnut and support authenticity and origin. © 2019 Society of Chemical Industry.
Substances chimiques
Phenols
0
Plant Extracts
0
Sterols
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
500-508Informations de copyright
© 2019 Society of Chemical Industry.
Références
Locatelli M, Coisson JD, Travaglia F, Cereti E, Garino C, D'Andrea M et al., Chemotype and genotype chemometrical evaluation applied to authentication and traceability of “Tonda gentile Trilobata” hazelnuts from Piedmont (Italy). Food Chem 129:1865-1873 (2011). https://doi.org/10.1016/j.foodchem.2011.05.134.
Solar A and Stampar F, Characterisation of selected hazelnut cultivars: phenology, growing and yielding capacity, market quality and nutraceutical value. J Sci Food Agr 91:1205-1212 (2011). https://doi.org/10.1002/jsfa.4300.
Manfredi M, Robotti E, Quasso F, Mazzucco E, Calabrese G and Marengo M, Fast classification of hazelnut cultivars through portable infrared spectroscopy and chemometrics. Spectrochim Acta A 189:427-435 (2018). https://doi.org/10.1016/j.saa.2017.08.050.
Food and Agriculture Organization of the United Nations. FAOSTAT. (2018). Available from: http://www.fao.org/faostat/en/#home [12 August 2018]
Luykx DMAM and van Ruth SM, An overview of analytical methods for determining the geographical origin of food products. Food Chem 107:897-911 (2008). https://doi.org/10.1016/j.foodchem.2007.09.038.
Oddone M, Aceto M, Baldizzone M, Musso D and Osella D, Authentication and traceability study of hazelnuts from piedmont, Italy. J of Agr Food Chem 57:3404-3408 (2009). https://pubs.acs.org/action/showCitFormats?doi=10.1021%2Fjf900312p.
Wishart DS, Metabolomics: applications to food science and nutrition research. Trends Food Sci Tech 19:482-493 (2008). https://doi.org/10.1016/j.tifs.2008.03.003.
Ibáñez C, García-Cañas V, Valdés A and Simó C, Novel MS-based approaches and applications in food metabolomics. TrAC 52:100-111 (2013). https://doi.org/10.1016/j.trac.2013.06.015.
Rocchetti G, Chiodelli G, Giuberti G, Ghisoni S, Baccolo G, Blasi F et al., UHPLC-ESI-QTOF-MS profile of polyphenols in Goji berries (Lycium barbarum L.) and its dynamics during in vitro gastrointestinal digestion and fermentation. J Funct Foods 40:564-572 (2018). https://doi.org/10.1016/j.jff.2017.11.042.
Stefanoudaki E, Kotsifaki F and Koutsaftakis A, Sensory and chemical profiles of three European olive varieties (Olea europea L); an approach for the characterization and authentication of the extracted oils. J Sci Food Agr 80:381-389 (1997). https://doi.org/10.1002/1097-0010(200002)80:3%3C381::AID-JSFA535%3E3.0.CO;2-4.
Rocchetti G, Lucini L, Gallo A, Masoero F, Trevisan M and Giuberti G, Untargeted metabolomics reveals differences in chemical fingerprints between PDO and non-PDO grana Padano cheeses. Food Res Int 113:407-413 (2018). https://doi.org/10.1016/j.foodres.2018.07.029.
Tomás-Barberán FA, Ferreres F, García-Viguera C and Tomás-Lorente F, Flavonoids in honey of different geographical origin. Z Lebensm Unters Forch 196:38-44 (1993). https://doi.org/10.1007/BF01192982.
Gòmez-Ariza JL, Arias-Borrego A and Garcıa-Barrera T, Multielemental fractionation in pine nuts (Pinus pinea) from different geographic origins by size-exclusion chromatography with UV and inductively coupled mass spectrometry detection. J Chromatog A 1121:191-199 (2006). https://doi.org/10.1016/j.chroma.2006.04.025.
Cubero-Leon E, Peñalver R and Maquet A, Review on metabolomics for food authentication. Food Res Int 60:95-107 (2014). https://doi.org/10.1016/j.foodres.2013.11.041.
Rocchetti G, Gatti M, Bavaresco L and Lucini L, Untargeted metabolomics to investigate the phenolic composition of chardonnay wines from different origins. J Food Compos Anal 71:87-93 (2018). https://doi.org/10.1016/j.jfca.2018.05.010.
Ben Mohamed M, Rocchetti G, Montesano D, Ben Ali S, Guasmi F, Grati-Kamoun N et al., Discrimination of Tunisian and Italian extra-virgin olive oils according to their phenolic and sterolic fingerprints. Food Res Int 106:920-927 (2018). https://doi.org/10.1016/j.foodres.2018.02.010.
Klockmann S, Reiner E, Cain N and Fischer M, Food targeting: geographical origin determination of Hazelnuls (Corylus avellana) by LC-QqQ-MS/MS-based targeted metabolomics application. J Agr Food Chem 65:1456-1465 (2017). https://pubs.acs.org/action/showCitFormats?doi=10.1021%2Facs.jafc.6b05007.
Ghirardello D, Bertolino M, Belviso S, Dal Bello B, Giordano M, Rolle L et al., Phenolic composition, antioxidant capacity and hexanal content of hazelnuts (Corylus avellana L.) as affected by different storage conditions. Postharvest Biol Technol 112:95-104 (2016). https://doi.org/10.1016/j.postharvbio.2015.09.039.
Lattanzio V, Lattanzio VMT and Cardinali A, Role of phenolics in the resistance mechanisms of plants against fungal pathogens and insects. Phytochemistry: Advances in Research 661:23-67 (2016).
Rocchetti G, Chiodelli G, Giuberti G and Lucini L, Bioaccessibility of phenolic compounds following in vitro large intestine fermentation of nuts for human consumption. Food Chem 245:633-640 (2018). https://doi.org/10.1016/j.foodchem.2017.10.146.
Cristofori V, Ferramondo S, Bertazza G and Bignami C, Nut and kernel traits and chemical composition of hazelnut (Corylus avellana L.) cultivars. J Sci Food Agr 88:1091-1098 (2008). https://doi.org/10.1002/jsfa.3203.
Galindo-Prieto B, Eriksson L and Trygg J, Variable influence on projection (VIP) for orthogonal projections to latent structures (OPLS). J Chemometr 28:623-632 (2014). https://doi.org/10.1002/cem.2627.
Castro-Puyana M, Perez-Miguez R, Montero L and Herrero M, Reprint of: application of mass spectrometry-based metabolomics approaches for food safety, quality and traceability. TrAC. 96:62-78 (2017).
Azadmard-Damirchi S, Sh E, Hesari J, Peighambardoust SH and Nemani M, Nuts composition and their health benefits. International Journal of Agricultural, Biosystems Science and Engineering 5:7-11 (2011).
Bolling BW, Oliver Chen CY, McKay DL and Blumering JB, Tree nut phytochemicals: composition, antioxidant capacity, bioactivity, impact factors. A systematic review of almonds, brazils, cashews, hazelnuts, macadamias, pecans, pine nuts, pistachios and walnuts. Nut Res Rev 24:244-275 (2011). https://doi.org/10.1017/S095442241100014X.
Grundy MML, Lapsley K and Ellis PR, A review of the impact of processing on nutrient bioaccessibility and digestion of almonds. Int J Food Sci Tech 51:1937-1946 (2016). https://doi.org/10.1111/ijfs.13192.
Saxena J, Munimbazi C and Bullerman LB, Relationship of mould count, ergosterol and ochratoxin a production. Int J Food Microbiol 71:29-34 (2001). https://doi.org/10.1016/S0168-1605(01)00584-0.
Martinez-Salgado MM, Gutierrez-Romero V, Jannsens M and Ortega-Blu R, Biological soil quality indicators: a review. Current Research, Technology and Education Topics in Applied Microbiology and Microbial Biotechnology 1:319-328 (2010).
Puglisi E, Nicelli M, Capri E, Trevisan M and Del Re AAM, Cholesterol, β-Sitosterol, Ergosterol, and Coprostanol in agricultural soils. Journal of Environmental Quality Abstract - Ecological Risk Assessment 32:466-471 (2003). https://doi.org/10.2134/jeq2003.4660.
Crews C, Hough P, Godward J, Brereton P, Lees M, Guiet S et al., Study of the Main constituents of some authentic hazelnut oils. J Agr Food Chem. 53:4843-4852 (2005). https://pubs.acs.org/action/showCitFormats?doi=10.1021%2Fjf047836w.
Awada T and Josiah S, Physiological responses of four hazelnut hybrids to water availability in Nebraska. Great Plains Research: A Journal of Natural and Social Sciences 17:193-202 (2007). http://www.jstor.org/stable/23779635.
Tombesi A, Farinelli D, Boco M and Trappolini CS, Hazelnut (Corylus avellana L.) kernel quality during maturity in Central Italy. V Int. congress on hazelnut. Acta Hortic 556 ISHS:553-558 (2001).
Paoletti F, Raffo A, Finotti E, Nobili F, Nardo N and Baiamonte I., (2005) - Miglioramento della qualità post-raccolta delle nocciole del viterbese. Viterbo, Atti.
Bengough AG, McKenzie BM, Hallett PD and Valentine TA, Root elongation, water stress, and mechanical impedance: a review of limiting stresses and beneficial root tip traits. J Exp Bot 62:59-68 (2011). https://doi.org/10.1093/jxb/erq350.
Andreotti C, Costa G and Treutter D, Composition of phenolic compounds in pear leaves as affected by genetics, ontogenesis and the environment. Scientia Hortic-Amsterdam 109:130-137 (2006). https://doi.org/10.1016/j.scienta.2006.03.014.
Treutter D, Significance of flavonoids in plant resistance: a review. Environmental Chemistry Letters 4:147-157 (2006). https://doi.org/10.1007/s10311-006-0068-8.
Panche AN, Diwan AD and Chandra SR, Flavonoids: An overview. Journal of Nutritional Science 5:e47 (2016). https://doi.org/10.1017/jns.2016.41.