Determination of seasonal and developmental variation in oxalate content of Anagallis arvensis plant by titration and spectrophotometricmethod
Debi Prasad Mishra, Nivedita Mishra, Harshal B Musale, Pinaki Samal, Sidharth Prasad Mishra and Devi Prasanna Swain
Oxalates are one of the important toxicant from veterinary toxicology aspect as they are mostly related to nephropathy and kidney failure. The reasons behind these clinical signs are accumulation of oxalate crystals in the filtration units of body and damaging renal tubular epithelium. In the present study, oxalate content of mature and immature plants was estimated by 2 methods; permanganate titration and spectrophotometric method. The quantitative precipitation of oxalate as its calcium salt, followed by permanganate titration was done. This method presents little difficulty in aqueous solutions, and quantities of oxalic acid as low as 0.05 mg may be estimated with accuracy. With this standard titration method, the estimated oxalic acid content was 14.79% for mature plant parts (month of March) and 12.45% for immature (month of November) plant parts. Though it was most accurate process but time consuming, so spectrophotometric method was tried for evaluating the efficacy. In this method 0.5g of plant material was taken and the concentrations of oxalate were estimated in the plant extract and it was found to be 15.06% and 12.68% for mature and immature plant parts respectively. From this study it can be concluded that mature plant parts contains more oxalate than immature plant parts. Also regarding estimation methods, spectrophotometric method is better method than traditional titration method in the modern research field with little difference in accuracy but more effective.
How to cite this article:
Debi Prasad Mishra, Nivedita Mishra, Harshal B Musale, Pinaki Samal, Sidharth Prasad Mishra, Devi Prasanna Swain. Determination of seasonal and developmental variation in oxalate content of Anagallis arvensis plant by titration and spectrophotometricmethod. Pharma Innovation 2017;6(6):105-111.