| Abstrakt: |
Faba bean (Vicia faba L.), which is also called as horse bean, broad bean or field bean, is a popular legume crop due to its high protein content (22–38.2%), dietary fibre (12%), medicinal (L-DOPA, antioxidant, anti-inflammatory, antiviral, anticancer, antidiabetic and anti-atherosclerotic effects) and nutritional values (vitamins like B complex, folic acid, etc., minerals and energy). But the main factor restricting its consumption and commercialisation is the presence of the antinutritional compounds mainly vicine-convicine (VC), which are thermostable, glucosidic aminopyrimidine derivatives that cause "favism" or "haemolytic anaemia" upon consumption by individuals having deficiency of glucose-6-phosphate dehydrogenase (G6PDH) enzyme. Discovery of low VC locus (vc-) has led to an increasing interest among plant scientist in developing low vicine and convicine faba bean varieties. But the global collection of faba bean accessions exceeds more than 30,000. Therefore, estimation of vicine by using a simple, rapid, reliable and an economical method is highly desirable specially in developing world. The currently available methods of VC estimation are either less sensitive and reliable or not well defined, such as with a straightforward spectrophotometric method, or cost-intensive, such as with LC-MS/MS or GC-MS, which are neither suitable nor economical for large-scale VC screening in faba bean. Therefore, large-scale estimation of vicine in a limited resourced facility is quite challenging. Here, we have reported a fully validated simple, rapid and highly reliable fast spectrophotometric method for large-scale analysis of vicine from faba bean by optimising the major extraction step in both spectrophotometry and high-performance liquid chromatography (HPLC). The HPLC method was validated with the parameter of linearity, limit of detection (LOD), limit of quantification (LOQ), accuracy, precision and reproducibility. When compared to other procedures, the fast spectrophotometric method requires very little starting material; eliminates the step of sample dilution; does not require the use of costly chemicals, large number of acidic substances, buffers and organic compounds; and is more straightforward, quick, precise and accurate. [ABSTRACT FROM AUTHOR] |
Full text from SpringerLink