2018
DOI: 10.1016/j.foodchem.2017.06.023
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Stable isotope ratio analysis of different European raspberries, blackberries, blueberries, currants and strawberries

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Cited by 32 publications
(17 citation statements)
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“…An alternative method, which is of specific importance for the authentication of food products, is site‐specific natural isotopic fractionation (SNIF) NMR (Martin et al., ), which is now the official method for the analysis wine and vinegar in the European Commission (EC regulation 2676/90 2347/91, 2348/91), the International Wine Office, and an official AOAC method for the detection of sugar addition in fruit juices and the determination of the origin of vanillin (Bensaid, Wietzerbin, & Martin, ; Caytan et al., ; Remaud & Akoka, ). SNIF‐NMR is based on the detection of deuterium nuclei, and more specifically, on measuring the isotopic ratio for D/H or 13 C/ 12 C on each site of a molecule, and has been used for the authentication of several products, such as honey (Giraudon, Danzart, & Merle, ; Bertelli et al, ), fruits, vinegar (Ko, Cheng, Chen, & Hsieh, ), wine (Košir et al., ; Ogrinc, Kosir, Kocjancic, & Kidric, ), and spirits (Hsieh, Li, Cheng, & MA, ; Jiang et al., ; Lai, Hsieh, & KO, ; Perini, Giongo, Grisenti, Bontempo, & Camin, ).…”
Section: Fundamentals Of Nmr Spectroscopy‐relevance To Food Sciencementioning
confidence: 99%
“…An alternative method, which is of specific importance for the authentication of food products, is site‐specific natural isotopic fractionation (SNIF) NMR (Martin et al., ), which is now the official method for the analysis wine and vinegar in the European Commission (EC regulation 2676/90 2347/91, 2348/91), the International Wine Office, and an official AOAC method for the detection of sugar addition in fruit juices and the determination of the origin of vanillin (Bensaid, Wietzerbin, & Martin, ; Caytan et al., ; Remaud & Akoka, ). SNIF‐NMR is based on the detection of deuterium nuclei, and more specifically, on measuring the isotopic ratio for D/H or 13 C/ 12 C on each site of a molecule, and has been used for the authentication of several products, such as honey (Giraudon, Danzart, & Merle, ; Bertelli et al, ), fruits, vinegar (Ko, Cheng, Chen, & Hsieh, ), wine (Košir et al., ; Ogrinc, Kosir, Kocjancic, & Kidric, ), and spirits (Hsieh, Li, Cheng, & MA, ; Jiang et al., ; Lai, Hsieh, & KO, ; Perini, Giongo, Grisenti, Bontempo, & Camin, ).…”
Section: Fundamentals Of Nmr Spectroscopy‐relevance To Food Sciencementioning
confidence: 99%
“…Ця культура починає плодоносити на 2-й рік, а повноцінний врожай отримують на 3-й рік після садіння. Потенційна врожайність її становить понад 12 т/га [3,4]. За сприятливих погодних умов вона плодоносить щорічно.…”
Section: вступunclassified
“…Stable isotopes of elements such as carbon (C), hydrogen (H), nitrogen (N), oxygen (O) or Strontium (Sr) vary in their concentration in different land substrates, and so an understanding of their geographic and spatial location can allow an isoscape to be developed (Bowen et al 2009) that links the isotopes in a given food to a location (Kelly et al 2011). GIS driven isotope maps and isotope footprints have been developed for beer, cereal crops, cheese, fruit juices, tea, coffee, must, olive oil, peppers, soft fruit, tiger prawns, tomato based products, vinegar, wine and asparagus (West et al 2007;Flores et al 2013;Carter et al 2015;Stevenson et al 2015;Bong et al 2016;Chiocchini et al 2016;Camin et al 2017;Fragni et al 2018;Perini et al 2018;Eftimov et al 2019;Gopi et al 2019aGopi et al , 2019bRichter et al 2019) so that provenance and thus authenticity can be clearly demonstrated through isotope analysis testing and then comparison of the results with pre-defined isotope maps (Danezis et al 2016). In terms of extrinsic attributes isotope analysis can distinguish between farmed and caught from the wild fish products (Gopi et al 2019a); and whether artificial nitrogen fertiliser has been used or organic fertiliser (Inácio et al 2015;Stevenson et al 2015;Perini et al 2018;Manning & Monaghan, 2019).…”
Section: Management Systems and Provenancementioning
confidence: 99%