کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7230135 | 1470944 | 2017 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An enzyme-free surface plasmon resonance biosensing strategy for detection of DNA and small molecule based on nonlinear hybridization chain reaction
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
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چکیده انگلیسی
A label-free and enzyme-free surface plasmon resonance (SPR) biosensing strategy has been developed for highly sensitive and specific detection of target DNA by employing the nonlinear hybridization chain reaction (HCR) amplification. Nonlinear HCR is a hairpin-free system in which double-stranded DNA monomers could dendritically assemble into highly branched nanostructure upon introducing a trigger sequence. The target DNA partly hybridizes with capture probe on the gold sensing chip and the unpaired fragment of target DNA works as a trigger to initiate the nonlinear HCR, forming a chain-branching growth of DNA dendrimer by self-assembly. Real-time amplified SPR response is observed upon the introduction of nonlinear HCR system. The method is capable of detecting target DNA at the concentration down to 0.85 pM in 60Â min with a dynamic range from 1 pM to 1000 pM, and could discriminate target DNA from mismatched sequences. This biosensing strategy exhibits good reproducibility and precision, and has been successfully applied for detection of target DNA in complex sample matrices. In addition, the nonlinear HCR based SPR biosensing methodology is extended to the detection of adenosine triphosphate (ATP) by aptamer recognition. Thus, the versatile method might become a potential alternative tool for biomolecule detection in medical research and early clinical diagnosis.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosensors and Bioelectronics - Volume 87, 15 January 2017, Pages 345-351
Journal: Biosensors and Bioelectronics - Volume 87, 15 January 2017, Pages 345-351
نویسندگان
Xiaojuan Ding, Wei Cheng, Yujian Li, Jiangling Wu, Xinmin Li, Quan Cheng, Shijia Ding,