کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5515456 1541903 2017 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Research articleGrapevine tissues and phenology differentially affect soluble carbohydrates determination by capillary electrophoresis
ترجمه فارسی عنوان
مقاله پژوهشی بافت و فنولوژی گربوین بر تعیین الکتروفورز مویرگی بر تعیین میزان کربوهیدرات محلول تأثیر می گذارد
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک دانش گیاه شناسی
چکیده انگلیسی


- Grapevine sugars can be determined in different tissues and phenology, with minimal sample preparation.
- Capillary electrophoresis provide high-resolution efficiency for the analysis of sugars, even in complex plant tissues.
- Matrix effects changed by the chemical nature of the sugar analytes, as well as differences of grapevine tissue composition.

Soluble carbohydrates distribution depends on plant physiology and, among other important factors, determines fruit yield and quality. In plant biology, the analysis of sugars is useful for many purposes, including metabolic studies. Capillary electrophoresis (CE) proved to be a powerful green separation technique with minimal sample preparation, even in complex plant tissues, that can provide high-resolution efficiency. Matrix effect refers to alterations in the analytical response caused by components of a sample other than the analyte of interest. Thus, the assessment and reduction of the matrix factor is fundamental for metabolic studies in different matrices. The present study evaluated the source and levels of matrix effects in the determination of most abundant sugars in grapevine tissues (mature and young leaves, berries and roots) at two phenological growth stages. Sucrose was the sugar that showed the least matrix effects, while fructose was the most affected analyte. Based on plant tissues, young leaves presented the smaller matrix effects, irrespectively of the phenology. These changes may be attributed to considerable differences at chemical composition of grapevine tissues with plant development. Therefore, matrix effect should be an important concern for plant metabolomics.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Plant Physiology and Biochemistry - Volume 118, September 2017, Pages 394-399
نویسندگان
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