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2017 IEEE Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics (PrimeAsia) 2017
DOI: 10.1109/primeasia.2017.8280375
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Fabrication of fluidic-based memristor sensor for dengue virus detection

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Cited by 7 publications
(3 citation statements)
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“…13 To address this challenge, complex surface patterning 14 or nanowire 15 designs are necessary. While most memristive sensors so far have focused on the detection of complex biomolecules such as DNA aptamers, 16 cancer markers 17 or the ebola and dengue virus, 18,19 sensing of easier biomolecules such as glucose was demonstrated but with a lack in both sensitivity (10-40 mM) and selectivity. 20 Organic memristive devices have been designed with several different voltage thresholds or volatile switching mechanisms.…”
Section: Introductionmentioning
confidence: 99%
“…13 To address this challenge, complex surface patterning 14 or nanowire 15 designs are necessary. While most memristive sensors so far have focused on the detection of complex biomolecules such as DNA aptamers, 16 cancer markers 17 or the ebola and dengue virus, 18,19 sensing of easier biomolecules such as glucose was demonstrated but with a lack in both sensitivity (10-40 mM) and selectivity. 20 Organic memristive devices have been designed with several different voltage thresholds or volatile switching mechanisms.…”
Section: Introductionmentioning
confidence: 99%
“…It is observed that for all diameter size, the detection can be achieved the for the maximum concentration 416 nM down to 52 nM [ 27 ]. However, at low concentration, the sensing capabilities (resistance ratio) is not clearly observed as compared to higher diameter sensing area.…”
Section: Resultsmentioning
confidence: 99%
“…The results showed a sensitivity of 6.53 × 10 -3 nM -1 and limit of detection of 5.02 nm/nM based on fluidic-based characteristics. The output results are based on the change in electrical conductivity due to specific binding between the dengue virus antibody and NS1 glycoprotein of DENV (Hadis et al, 2017). The label-free DENV identification method has been developed by functionalized tampered optical fiber sensor and complimentary recombinant antibodies.…”
Section: Future Perspectives and Electrical Biosensors Technologiesmentioning
confidence: 99%