کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7590549 | 1492101 | 2016 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Models based on ultraviolet spectroscopy, polyphenols, oligosaccharides and polysaccharides for prediction of wine astringency
ترجمه فارسی عنوان
مدل های مبتنی بر طیف سنجی ماوراء بنفش، پلی فنل ها، الیگوساکارید ها و پلی ساکارید ها برای پیش بینی بی قراری شراب
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی
Astringency elicited by tannins is usually assessed by tasting. Alternative methods involving tannin precipitation have been proposed, but they remain time-consuming. Our goal was to propose a faster method and investigate the links between wine composition and astringency. Red wines covering a wide range of astringency intensities, assessed by sensory analysis, were selected. Prediction models based on multiple linear regression (MLR) were built using UV spectrophotometry (190-400Â nm) and chemical analysis (enological analysis, polyphenols, oligosaccharides and polysaccharides). Astringency intensity was strongly correlated (R2=0.825) with tannin precipitation by bovine serum albumin (BSA). Wine absorbances at 230Â nm (A230) proved more suitable for astringency prediction (R2=0.705) than A280 (R2=0.56) or tannin concentration estimated by phloroglucinolysis (R2=0.59). Three variable models built with A230, oligosaccharides and polysaccharides presented high R2 and low errors of cross-validation. These models confirmed that polysaccharides decrease astringency perception and indicated a positive relationship between oligosaccharides and astringency.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Food Chemistry - Volume 190, 1 January 2016, Pages 357-363
Journal: Food Chemistry - Volume 190, 1 January 2016, Pages 357-363
نویسندگان
Jean-Claude Boulet, Corinne Trarieux, Jean-Marc Souquet, Maris-Agnés Ducasse, Soline Caillé, Alain Samson, Pascale Williams, Thierry Doco, Véronique Cheynier,