Dataset Information

Detection of high-charge density polyanion contaminants in biomedical heparin preparations using potentiometric polyanion sensors.

ABSTRACT: A very simple and inexpensive method to detect oversulfated chondroitin sulfate (OSCS) or other high-charge density polyanionic structures as contaminants in heparin products using potentiometric polyanion sensors is described. In the potentiometric measurement, a greater change in the phase boundary equilibrium potential of polymeric membranes formulated with tridodecylmethylammonium (TDMA) anion exchange sites is observed for the contaminated heparin than for the untainted heparin due to the higher charge density of OSCS or other impurities compared to that of porcine heparin. Detection of 0.5 wt % OSCS impurity is readily achieved using only 1 mg/mL of final polyion concentration. Even lower detection limits for OSCS contamination may be possible if higher final concentrations of heparin preparations can be employed in the test procedure.

SUBMITTER: Wang L

PROVIDER: S-EPMC2735584 | biostudies-literature | 2008 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Detection of high-charge density polyanion contaminants in biomedical heparin preparations using potentiometric polyanion sensors.

Wang Lin L Buchanan Stacey S Meyerhoff Mark E ME

Analytical chemistry 20081201 24

A very simple and inexpensive method to detect oversulfated chondroitin sulfate (OSCS) or other high-charge density polyanionic structures as contaminants in heparin products using potentiometric polyanion sensors is described. In the potentiometric measurement, a greater change in the phase boundary equilibrium potential of polymeric membranes formulated with tridodecylmethylammonium (TDMA) anion exchange sites is observed for the contaminated heparin than for the untainted heparin due to the h ...[more]

PMID: 19007240

Similar Datasets

Project description:The detection of molecular traces in the environment is a technical problem that is critical in pollutant control procedures at all stages of spacecraft assembly, in space flight, as well as in other technological processes such as food production, medical diagnostics, environmental control, warfare. However, in the aerospace industry, it is necessary to detect molecular traces of contaminants with extreme sensitivity, as even concentrations as low as part-per-billion (ppb) can be critical during long missions. The high sensitivity of the Volatile Organic Compounds (VOCs) detection within the air can be a challenge because of the poor affinity of VOC's to the metal surface of the sensor substrate. In this work, we present a surface-enhanced Raman scattering (SERS) spectroscopy technique as a highly sensitive and selective molecular sensor for gas trace detection not sensitive to molecules adsorbtion on sensing element. The developed hybrid SERS platform for molecular trace detection is supported by the hybrid nanoplasmonic porous silicon membrane in conjunction with micropump to achieve the trace level detection of VOCs in the environment. The combination of silicon membrane, made by electrochemical etching of the microchannels in the silicon chip, with chemical deposition of the silver nanoparticles inside the channels, produce a porous Ag nanoparticles membrane with a high density of plasmonic nanostructures ("hot spots"). The micropump integrated with the SERS sensor, pump the air with VOC's molecules through the plasmonic membrane "hot spots" to increase the probability of interaction of VOC's molecules with SERS substrate and to increase the enhancement factor. The sensor chip structure was designed, gas flow in the sensor was simulated, and the sensor was fabricated using 3D printing. The limit of detection of hydrazine with concentration level 10-12 M from solution and the vapor phase 0.1 ppm was demonstrated. The anisole vapors with concentration 0.5 ppb spectra in the air were recorded. Our results demonstrate that plasmonic membrane can be used as a high enhancement factor SERS sensor for many pollutants molecules detection with the nanomolar sensitivity and can be applied in the design of sensors for space applications, environment control, biomedical diagnostic.Supplementary informationThe online version contains supplementary material available at 10.1007/s12567-021-00356-6.

Dataset Information

Detection of high-charge density polyanion contaminants in biomedical heparin preparations using potentiometric polyanion sensors.

Publications

Detection of high-charge density polyanion contaminants in biomedical heparin preparations using potentiometric polyanion sensors.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets