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pmid: 15553138
handle: 10366/141045
The anthocyanic composition of some pigmented cereals is still not well established, neither in relation to some of their components, nor from the quantitative point of view. Nonetheless, the use of analytical techniques, such as diode array spectroscopy and mass spectrometry (MS, PDMS, MALDI) coupled or not to liquid chromatography, are permitting, in recent years, the confirmation of the structure of some of the principal anthocyanins and a knowledge of those which are present in minor proportion. In this article, firstly, a review of the principal methods of analysis of anthocyanins is made. This is followed by a review of the most significant advances achieved in the last years in the field of the identification and quantification of these pigments in cereals and the present uses of the commercial extracts of anthocyanins obtained from these sources and the perspectives for their use is included.
Magnetic Resonance Spectroscopy, Hydrolysis, Cereals, Reviews, Mass Spectrometry, Maize, Anthocyanins, Wheat, cereales, antocianinas, Spectrophotometry, Ultraviolet, Rice, Edible Grain, Sorghum, Analysis
Magnetic Resonance Spectroscopy, Hydrolysis, Cereals, Reviews, Mass Spectrometry, Maize, Anthocyanins, Wheat, cereales, antocianinas, Spectrophotometry, Ultraviolet, Rice, Edible Grain, Sorghum, Analysis
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 216 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |