کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
975557 1480172 2014 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A multivariate statistical analysis coming from the NMR metabolic profile of cherry tomatoes (The Sicilian Pachino case)
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات فیزیک ریاضی
پیش نمایش صفحه اول مقاله
A multivariate statistical analysis coming from the NMR metabolic profile of cherry tomatoes (The Sicilian Pachino case)
چکیده انگلیسی


• We use the HR-MAS NMR technique in order to study the metabolic profile of the Sicilian cherry tomato of Pachino.
• We determine the molar concentration of the metabolites present in the cherry tomato of Pachino.
• We make use of multivariate statistical analysis for the discrimination of those metabolites that are responsible for sample differentiation.
• Cherry tomatoes of Pachino have a higher concentration of sugars, essential aminoacids and GABA.
• Cherry tomatoes of Pachino have a lower concentration of methanol and fatty acids.

We have studied by means of High Resolution Magic Angle Spinning Nuclear Magnetic Resonance the metabolic profile of the famous Sicilian cherry tomato of Pachino. Thanks to its organoleptic and healthy properties, this particular foodstuff was the first tomato accredited by the European PGI (Protected Geographical Indication) certification of quality. Due to the relatively high price of the final product commercial frauds originated in the Italian and international markets. Hence, there is a growing interest to develop analytical techniques able to predict the origin of a tomato sample, indicating whether or not it originates from the area of Pachino, Sicily (Italy). In this paper we have determined the molar concentration of the metabolites constituent the PGI cherry tomato of Pachino. Furthermore, by means of a multivariate statistical analysis we have identified which metabolites are relevant for sample differentiation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 401, 1 May 2014, Pages 112–117
نویسندگان
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