کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5031143 | 1470941 | 2017 | 20 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A graphene oxide-based strand displacement amplification platform for ricin detection using aptamer as recognition element
ترجمه فارسی عنوان
یک پلت فرم تقویت جابجایی رشته ای بر اساس اکسید گرافین برای تشخیص ریسین با استفاده از ابهامر به عنوان عنصر تشخیص
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موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی
The toxic plant protein ricin is a potential agent for criminal or bioterrorist attacks due to the wide availability and relative ease of preparation. Herein, we developed a novel strategy for the detection of ricin B-chain (RTB) based on isothermal strand-displacement polymerase reaction (ISDPR) by using aptamer as a recognition element and graphene oxide (GO) as a low background platform. In this method, ricin-binding aptamer (RBA) hybridized with a short blocker firstly, and then was immobilized on the surface of streptavidin-coated magnetic beads (MBs). The addition of RTB could release the blocker, which could hybridize with the dye-modified hairpin probe and trigger the ISDPR, resulting in high fluorescence intensity. In the absence of RTB, however, the fluorescence of the dye could be quenched strongly by GO, resulting in the extremely low background signal. Thus, RTB could be sensitively detected by the significantly increased fluorescence signal. The linear range of the current analytical system was from 0.75 μg/mL to 100 μg/mL and the limit of detection (3Ï) was 0.6 μg/mL. This method has been successfully utilized for the detection of both the RTB and the entire ricin toxin in real samples, and it could be generalized to any kind of target detection based on an appropriate aptamer.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosensors and Bioelectronics - Volume 91, 15 May 2017, Pages 149-154
Journal: Biosensors and Bioelectronics - Volume 91, 15 May 2017, Pages 149-154
نویسندگان
Chun Hong Li, Xue Xiao, Jing Tao, Dong Mei Wang, Cheng Zhi Huang, Shu Jun Zhen,