کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1185044 1492080 2016 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
(Poly)phenolic fingerprint and chemometric analysis of white (Morus alba L.) and black (Morus nigra L.) mulberry leaves by using a non-targeted UHPLC–MS approach
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
(Poly)phenolic fingerprint and chemometric analysis of white (Morus alba L.) and black (Morus nigra L.) mulberry leaves by using a non-targeted UHPLC–MS approach
چکیده انگلیسی


• The phenolic fingerprint of Morus alba and Morus nigra leaves has been described.
• 31 phytochemicals, 7 reported for the first time in mulberry leaf, were identified.
• The most complete MS (poly)phenolic profile of mulberry leaves to date.
• Chemometric analysis revealed a great intraspecific variability.
• These data pave the way to develop rich-in-bioactives mulberry foodstuffs.

This study reports the (poly)phenolic fingerprinting and chemometric discrimination of leaves of eight mulberry clones from Morus alba and Morus nigra cultivated in Spain. UHPLC–MSn (Ultra High Performance Liquid Chromatography–Mass Spectrometry) high-throughput analysis allowed the tentative identification of a total of 31 compounds. The phenolic profile of mulberry leaf was characterized by the presence of a high number of flavonol derivatives, mainly glycosylated forms of quercetin and kaempferol. Caffeoylquinic acids, simple phenolic acids, and some organic acids were also detected. Seven compounds were identified for the first time in mulberry leaves. The chemometric analysis (cluster analysis and principal component analysis) of the chromatographic data allowed the characterization of the different mulberry clones and served to explain the great intraspecific variability in mulberry secondary metabolism. This screening of the complete phenolic profile of mulberry leaves can assist the increasing interest for purposes related to quality control, germplasm screening, and bioactivity evaluation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Food Chemistry - Volume 212, 1 December 2016, Pages 250–255
نویسندگان
, , , , , ,