2 resultados para Natural language generation

em Bioline International


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Diabetes mellitus is a complex and progressive metabolic disease which is associated with multiple complications. Chronic hyperglycaemia is the defining characteristic of diabetes mellitus. Hyperglycaemia leads to generation of free radicals and induces oxidative stress, which has become the chief factor that leads to diabetic complications. This review supports the use of antioxidant vitamins as therapeutic agents in the management of diabetes mellitus and its complications, and also provides an insight into the potential pharmacological effects of natural antioxidant vitamins in diabetic conditions. These antioxidant vitamins can be used as safe supplements to manage the occurrence and complications of the disease. Selected studies have reported on the beneficial effects of antioxidant vitamins in experimental models. The involvement of oxidative stress in diabetes and its complications has made the use of natural antioxidant vitamins (free radical scavengers) from plants inevitable as they may be very effective and safer in the management of diabetes.

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Purpose: To evaluate the comparative efficiency of graphite furnace atomic absorption spectrometry (GFAAS) and hydride generation atomic absorption spectrometry (HGAAS) for trace analysis of arsenic (As) in natural herbal products (NHPs). Method: Arsenic analysis in natural herbal products and standard reference material was conducted using atomic absorption spectrometry (AAS), namely, hydride generation AAS (HGAAS) and graphite furnace (GFAAS). The samples were digested with HNO3–H2O2 in a ratio of 4:1 using microwaveassisted acid digestion. The methods were validated with the aid of the standard reference material 1515 Apple Leaves (SRM) from NIST Results: Mean recovery of three different samples of NHPs, using HGAAS and GFAAS, ranged from 89.3 - 91.4 %, and 91.7 - 93.0 %, respectively. The difference between the two methods was insignificant. A (P= 0.5), B (P=0.4) and C (P=0.88) Relative standard deviation (RSD) RSD, i.e., precision was 2.5 - 6.5 % and 2.3 - 6.7 % using HGAAS and GFAAS techniques, respectively. Recovery of arsenic in SRM was 98 and 102 % by GFAAS and HGAAS, respectively. Conclusion: GFAAS demonstrates acceptable levels of precision and accuracy. Both techniques possess comparable accuracy and repeatability. Thus, the two methods are recommended as an alternative approach for trace analysis of arsenic in natural herbal products.