RESUMO
Danaparoid sodium (the active pharmaceutical ingredient in Orgaran; Merck Sharp and Dohme) is a biopolymeric non-heparin drug used as anticoagulant and antithrombotic agent approved for the prophylaxis of post-operative deep-vein thrombosis, which may lead to pulmonary embolism in patients undergoing, e.g., elective hip replacement surgery. It consists of a mixture of three glycosaminoglycans (GAGs): heparan sulfate (HS), dermatan sulfate (DS), and chondroitin sulfate (CS). Currently, the CS and DS content are quantified by means of a time-consuming enzymatic method. In this paper the use of (1)H NMR in combination with multivariate regression (partial least-squares, PLS) is proposed as a new method. In order to evaluate the proposed method, a series of danaparoid sodium samples were analyzed and the results were compared with those obtained by the enzymatic method (reference method). The results showed that the proposed (1)H NMR method is a good alternative for analysis of CS and DS in danaparoid sodium. Accuracy of ±0.7% (w/w) and ±1.1% (w/w) for CS and DS was obtained by the (1)H NMR method and accuracy of ±1.0% (w/w) and ±1.3% (w/w) by the enzymatic method. Furthermore, the use of (1)H NMR in combination with PLS results in a fast quantification. The analysis time is reduced to 35 min per sample instead of 60 h for a maximum of 16 samples.