کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1185233 1492140 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Non-targeted analysis by LC–MS of major metabolite changes during the oolong tea manufacturing in New Zealand
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
Non-targeted analysis by LC–MS of major metabolite changes during the oolong tea manufacturing in New Zealand
چکیده انگلیسی


• Comprehensive non-targeted method applied to monitoring tea manufacturing LC–MS.
• Detected significant changes in product composition after the ‘de-greening’ manufacturing step.
• Detected for the first time, increases in jasmonic acid levels during tea fermentation.
• Demonstrated the potential of non-targeted LC–MS to monitor the progress of complex manufacturing processes.

Oolong tea is a semi-fermented tea that is partially oxidised during the manufacturing process to create a product unique in composition. In this study, we investigated the potential of non-targeted LC–MS with two complementary chromatographic modes to provide a “comprehensive and unbiased” view of biochemical compositional changes occurring during oolong tea manufacturing in New Zealand. Tea leaf samples from throughout the manufacturing/fermentation process during three different harvest periods (spring, summer and autumn) were analysed by four different LC–MS streams. Principal component analysis revealed the de-greening stage of the manufacturing process was responsible for major changes in the biochemical profile, with the methodology detecting changes in a wide range of metabolites of differing polarities, such as flavonoids, nucleosides and primeverosides. Changes during the fermentation phase of the manufacturing process were less marked, however significant increases in levels of free amino acids, a hydroxyjasmonic acid and related metabolites were observed.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Food Chemistry - Volume 151, 15 May 2014, Pages 394–403
نویسندگان
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