کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1243263 1495776 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multivariate data reduction and discrimination of black and green teas due to the physical fractionation pattern of selected metals determined in their infusions
ترجمه فارسی عنوان
کاهش داده های چند متغیره و تبعیض از چای سیاه و سبز به علت الگوی تقسیم بندی فیزیکی فلزات انتخاب شده در جریان تزریق آنها
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی


• Physical fractionation of 12 metals in black and green teas infusions done.
• High and low molecular weight metals fractions being the most distinctive.
• Metals bioaccessibility indirectly assessed upon their fractionation patterns.
• PCA and LDA used to classify teas due to molecular weight metals fractionations.

An analytical scheme for the physical fractionation of Al, Ba, Ca, Cr, Cu, Fe, K, Mg, Mn, Na, Ni, Sr and Zn in black and green teas infusions was proposed. It was based on the ultrafiltration/centrifugation through five membranes having molecular weight cut-offs of 100, 50, 30, 10 and 5 kDa. The concentrations of the studied metals in the highest and the lowest molecular weight fractions were found to classify and discriminate the analyzed teas infusions much better than the total metals concentrations. The differences in the physical fractionation patterns of these metals assessed for both tea varieties was profound and let to simply classify the infusions of different black and green teas by principal component analysis and linear discriminant analysis.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Talanta - Volume 160, 1 November 2016, Pages 314–324
نویسندگان
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