کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2058753 1543968 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A method based on light scattering to estimate the concentration of virus particles without the need for virus particle standards
ترجمه فارسی عنوان
یک روش مبتنی بر پراکندگی نور برای تخمین غلظت ذرات ویروس بدون نیاز به استانداردهای ذرات ویروس
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی بیوشیمی، ژنتیک و زیست شناسی مولکولی (عمومی)
چکیده انگلیسی

Most often the determination of the concentration of virus particles is rendered difficult by the availability of proper standards. We have adapted a static light scattering based method for the quantification of virus particles (shown for poliovirus) without the need of virus particle standards. Instead, as standards, well-characterized polymeric nanoparticle solutions are used. The method is applicable for virus particles acting as Rayleigh scatterers, i.e., virus particles with equivalent diameters up to ca. 1/10th of the wavelength of the scattered monochromatic light (∼70 nm diameter). Further limitations may arise if the refractive index of the virus is unavailable or cannot be calculated based on its composition, such as in case of enveloped viruses. The method is especially relevant for preparation of virus particle concentration standards and to vaccine formulations based on attenuated or inactivated virus particles where the classical plaque forming assays cannot be applied. The method consists of:
• Measuring the intensity of the light scattered by viruses suspended in an aqueous solution.
• Measuring the intensity of the light scattered by polymeric nanoparticles of known concentration and comparable size with the investigated virus particle.
• The concentration of virus nanoparticles can be calculated based on the two measured scattered light intensities by knowing the refractive index of the dispersing solution, of the polymer and virus nanoparticles as well as their relative sphere equivalent diameters.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: MethodsX - Volume 2, 2015, Pages 91–99
نویسندگان
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