کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5673006 1593428 2017 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Development of a fast and efficient method for hepatitis A virus concentration from green onion
موضوعات مرتبط
علوم زیستی و بیوفناوری ایمنی شناسی و میکروب شناسی ویروس شناسی
پیش نمایش صفحه اول مقاله
Development of a fast and efficient method for hepatitis A virus concentration from green onion
چکیده انگلیسی

Hepatitis A virus (HAV) can cause serious liver disease and even death. HAV outbreaks are associated with the consumption of raw or minimally processed produce, making it a major public health concern. Infections have occurred despite the fact that effective HAV vaccine has been available. Development of a rapid and sensitive HAV detection method is necessary for an investigation of an HAV outbreak. Detection of HAV is complicated by the lack of a reliable culture method. In addition, due to the low infectious dose of HAV, these methods must be very sensitive. Current methods rely on efficient sample preparation and concentration steps followed by sensitive molecular detection techniques. Using green onions which was involved in most recent HAV outbreaks as a representative produce, a method of capturing virus particles was developed using carboxyl-derivatized magnetic beads in this study. Carboxyl beads, like antibody-coated beads or cationic beads, detect HAV at a level as low as 100 pfu/25 g of green onions. RNA from virus concentrated in this manner can be released by heat-shock (98 °C 5 min) for molecular detection without sacrificing sensitivity. Bypassing the RNA extraction procedure saves time and removes multiple manipulation steps, which makes large scale HAV screening possible. In addition, the inclusion of beef extract and pectinase rather than NP40 in the elution buffer improved the HAV liberation from the food matrix over current methods by nearly 10 fold. The method proposed in this study provides a promising tool to improve food risk assessment and protect public health.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Virological Methods - Volume 249, November 2017, Pages 161-164
نویسندگان
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