0.6nm to 6000nm particle sizing plus Zeta potential
This multi purpose desktop analyser combines the capability of static and dynamic light scattering, plus Zeta potential. Sizing of nano-particles from 0.6 to 6000nm is now extremely simple and rapid, with highly repeatable measurements. The novel non invasive backscatter (NIBS) optics provides exceptional sensitivity to size molecules smaller than 1000 Daltons.
Click here to contact usSamples at concentrations up to 20vol% ( equivalent to 40wt%) have been analysed without dilution. This possibility of non destructive analysis enables the original nature of the sample to be preserved. The system is also exceptionally sensitive and can measure small quantities of sample, including those as dilute as 0.1ppm. Precision temperature control from 2 to 90 Deg C ensures highly repeatable results.
Zeta potential is measured by the patented M3-PALS technology, giving the highest ever sensitivity and resolution. Cross contamination is eliminated by means of a unique disposable capillary cell. For non aqueous applications there is a re useable dip cell. Measuring Zeta potential as a function of pH, conductivity or additive can be automated with the optional autotitrator.
The software provides fully automated operation, including generating Standard Operating Procedures, temperature and time trend analysis, a full range of statistical plots and custom report generator. Malvern provide comprehensive validation support and all systems comply with 21 CFR part 11.
The Zetasizer nano series using NIBS comprises the model S for size measurement, model Z for Zeta potential and model ZS for both size and zeta potential. Conventional 90 deg measurements are made with models S90 and ZS90.
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This new accessory for the Zetasizer Nano allows users to measure the zeta potential of surfaces in an aqueous medium on a standard instrument. This eliminates the need for a separate streaming potential instrument. Studying surface zeta potential assesses the likelihood of material interaction with that surface.
New research applications include:
This information can be used to predict or modify the interaction of materials such as proteins binding to a contact lens surface or nanoparticles interacting with environmental samples such as rocks.
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