کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
11027450 1666296 2019 21 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A semi-automatic approach to the characterisation of dark chocolate by Nuclear Magnetic Resonance and multivariate analysis
ترجمه فارسی عنوان
یک روش نیمه اتوماتیک برای توصیف شکلات تیره با استفاده از رزونانس مغناطیسی هسته و تجزیه و تحلیل چند متغیره
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی
Tracing the geographical origin of chocolate is of increasing importance owing to the market growth of cocoa products of high quality and especially where value is derived from those products being of single origin. The NMR analysis of methanolic/aqueous extracts of dark chocolate samples from Peru, Venezuela and Madagascar is reported and 42 different chemical constituents are identified, quantified and analysed using multivariate techniques. This paper describes a simple non-destructive protocol, which look at the chemical profile for chocolate samples from these three geographical locations and demonstrates potential for assessing the provenance of chocolate products, which has implications in food quality, safety and authenticity.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Food Chemistry - Volume 275, 1 March 2019, Pages 385-389
نویسندگان
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