2015
DOI: 10.1166/jbn.2015.1501
|View full text |Cite
|
Sign up to set email alerts
|

Label-Free and Real-Time Detection of Avian Influenza Using Nanowire Field Effect Transistors

Abstract: Real-time and label-free detection of antibodies from avian influenza (anti-AI) in an aqueous solution is demonstrated with the use of a nanowire field effect transistor. A real-time measurement system is constructed without leakage paths through the solution medium. The current through the nanowire changes significantly after an injection of an anti-AI solution onto the device, which was previously functionalized by the antigen of AI as a probe of anti-AI. In contrast, no significant response arises when an a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
9
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
8

Relationship

2
6

Authors

Journals

citations
Cited by 8 publications
(9 citation statements)
references
References 11 publications
0
9
0
Order By: Relevance
“…163 In addition, several advanced or modified assays and platforms for detecting H7N9 AIVs are under investigation, such as modified surface plasmon resonance, 39 enzyme-induced metallization, 164 reverse transcription-loop-mediated isothermal amplification assay, 165 and chip-based biosensors. 166 This study has some limitations. We selected articles written in English only; in addition, we excluded small cohort studies and clinical trials and focused mainly on study results in human cases of AIV infection.…”
Section: Discussionmentioning
confidence: 91%
“…163 In addition, several advanced or modified assays and platforms for detecting H7N9 AIVs are under investigation, such as modified surface plasmon resonance, 39 enzyme-induced metallization, 164 reverse transcription-loop-mediated isothermal amplification assay, 165 and chip-based biosensors. 166 This study has some limitations. We selected articles written in English only; in addition, we excluded small cohort studies and clinical trials and focused mainly on study results in human cases of AIV infection.…”
Section: Discussionmentioning
confidence: 91%
“…The signal (20–140 mV) and limit of detection (∼5.8 pM) of our sensor were comparable to or higher than those of other aptamer-based FET sensors. ,, However, direct comparisons could not be made due to different aptamer and target biomolecules. Various FET-based approaches have been proposed for AIV detection, , but this work is the first study to demonstrate the applicability of DNA aptamer as a bioreceptor, as summarized in Table . The sensitivity and dynamic range of our sensor were compared to those of the previously reported FET-based sensors for AIV detection.…”
Section: Resultsmentioning
confidence: 99%
“…These methods are generally effective but require time-consuming procedures, bulky and expensive equipment, and trained technicians, which limits their applications in on-site use. As an alternative, label-free electrical detection of H5N1 AIV based on field-effect transistors (FETs) is suitable for portable applications in field tests because it provides rapid signal response, hand-held readout system, low cost, and easy operation. An FET is greatly advantageous for a transducer because it offers superior limit of detection, which is as low as the picomolar level, analysis of a small sample volume, and scalable manufacturing process. …”
mentioning
confidence: 99%
“…Immuno-FEDs for the detection of antibodies against viruses have been rarely studied (mostly as proof-of-concept experiments). For example, a nanogap FET (Gu et al, 2009), an underlap channel-embedded FET (Lee et al, 2010), and a SiNW-FET (Ahn et al, 2015) were realized to detect specific antibodies directed against avian influenza viruses. Moreover, the multiplexed detection of antibodies against avian influenza and human immunodeficiency viruses (HIV) by means of an underlap-embedded SiNW-FET is demonstrated (Kim et al, 2014).…”
Section: Detection Of Host Antibodiesmentioning
confidence: 99%