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1.
J Pharm Biomed Anal ; 174: 639-643, 2019 Sep 10.
Artigo em Inglês | MEDLINE | ID: mdl-31279893

RESUMO

Heparin is a carbohydrate polymer, which is clinically used as an anticoagulant for the treatment of thrombotic disorders. The anticoagulant process is mainly mediated by the interaction of heparin with antithrombin followed by inhibition of clotting factors IIa (FIIa) and Xa (FXa). The influence of polymer disaccharide structure, average molecular weight and impurity profiling (e.g., chloride and water content) was investigated by NMR spectrometry and principal component analysis (PCA) for a representative dataset of porcine heparin samples (n = 509). A significant linear dependence was found between anticoagulant activity and scores on the third principal component (PC3) based on the non-targeted analysis of 1H NMR fingerprints. The correlation between average molecular values and anticoagulant activity for the 24 porcine heparin samples from two manufacturers was linear (R = 0.85) over typical values for porcine heparin preparations. Chloride and water contents were identified as negatively influencing factors for the actual activity values as their presence decrease the "pharmaceutically active" organic part of heparin preparations. Some suggestions regarding manufacturing process are made according to the results.


Assuntos
Anticoagulantes/análise , Heparina/análise , Espectroscopia de Ressonância Magnética , Animais , Anticoagulantes/química , Cloretos/química , Dissacarídeos/química , Fator Xa/química , Inibidores do Fator Xa/análise , Inibidores do Fator Xa/química , Heparina/química , Heparina de Baixo Peso Molecular/análise , Modelos Lineares , Peso Molecular , Polímeros/química , Análise de Componente Principal , Protrombina/química , Suínos , Água/química
2.
J Pharm Biomed Anal ; 149: 128-132, 2018 Feb 05.
Artigo em Inglês | MEDLINE | ID: mdl-29112901

RESUMO

Apart from the characterization of impurities, the full characterization of heparin and low molecular weight heparin (LMWH) also requires the determination of average molecular weight, which is closely related to the pharmaceutical properties of anticoagulant drugs. To determine average molecular weight of these animal-derived polymer products, partial least squares regression (PLS) was utilized for modelling of diffused-ordered spectroscopy NMR data (DOSY) of a representative set of heparin (n=32) and LMWH (n=30) samples. The same sets of samples were measured by gel permeation chromatography (GPC) to obtain reference data. The application of PLS to the data led to calibration models with root mean square error of prediction of 498Da and 179Da for heparin and LMWH, respectively. The average coefficients of variation (CVs) did not exceed 2.1% excluding sample preparation (by successive measuring one solution, n=5) and 2.5% including sample preparation (by preparing and analyzing separate samples, n=5). An advantage of the method is that the sample after standard 1D NMR characterization can be used for the molecular weight determination without further manipulation. The accuracy of multivariate models is better than the previous results for other matrices employing internal standards. Therefore, DOSY experiment is recommended to be employed for the calculation of molecular weight of heparin products as a complementary measurement to standard 1D NMR quality control. The method can be easily transferred to other matrices as well.


Assuntos
Anticoagulantes/química , Biopolímeros/química , Espectroscopia de Ressonância Magnética/métodos , Modelos Químicos , Controle de Qualidade , Animais , Anticoagulantes/análise , Anticoagulantes/normas , Calibragem , Bovinos , Química Farmacêutica/instrumentação , Química Farmacêutica/métodos , Difusão , Guias como Assunto , Heparina/análise , Heparina/química , Heparina/normas , Heparina de Baixo Peso Molecular/análise , Heparina de Baixo Peso Molecular/química , Heparina de Baixo Peso Molecular/normas , Análise dos Mínimos Quadrados , Espectroscopia de Ressonância Magnética/instrumentação , Peso Molecular , Padrões de Referência , Ovinos , Suínos , Tecnologia Farmacêutica/instrumentação , Tecnologia Farmacêutica/métodos , Tecnologia Farmacêutica/normas
3.
Anal Bioanal Chem ; 377(5): 929-36, 2003 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-12879195

RESUMO

Use of a novel rotating polycation-sensitive polymer membrane electrode yields sensors that can serve as simple potentiometric titration endpoint detectors for the determination of three FDA approved low-molecular-weight heparin (LMWH) anticoagulant drugs (Fragmin, Normiflo, and Lovenox). The rotating electrode configuration dramatically improves the reproducibility and increases the sensitivity for LMWH determinations by protamine titration. At a rotation speed of 3000 rpm, electrodes with optimized thin (50 microm) polymer membranes doped with dinonylnaphthalene sulfonate (DNNS) respond to low levels of protamine (<2 microg mL(-1)) with good precision (+/-1 mV, N=10), when protamine is infused continuously into a Tris-buffer solution, pH 7.4. When infusing protamine (at 5 microg min(-1)) continuously into solutions containing Fragmin, a clear endpoint is obtained, with the amount of protamine required to reach this endpoint proportional to the level of Fragmin present. A detection limit of less than 0.02 U mL(-1) Fragmin can be obtained via this new method, approximately one order of magnitude lower than that previously reported based on a non-rotating polycation electrode. Similar low detection limits can be achieved for potentiometric titrations of Normiflo and Lovenox. Such titrations can also be carried out in undiluted plasma samples containing the various LMWH species. In this case, detection of the LMWHs at clinically relevant concentrations (>0.2 U mL(-1)) can be readily achieved.


Assuntos
Eletroquímica/métodos , Eletrodos , Heparina de Baixo Peso Molecular/análise , Animais , Dalteparina/análise , Eletroquímica/instrumentação , Enoxaparina/análise , Membranas Artificiais , Potenciometria/métodos , Protaminas/análise , Sensibilidade e Especificidade , Ovinos , Fatores de Tempo
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