2018
DOI: 10.1109/jsen.2018.2872853
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Intelligent Quantification of Picomolar Protein Concentration in Serum by Functionalized Nanopores

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Cited by 10 publications
(7 citation statements)
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“…While the compositions of the layers and the deposition techniques vary, LBL coatings are most commonly used to manipulate nanopore size, 164 tailor surface chemistry, [165][166][167][168][169] or allow for the incorporation of other molecules for specific detection of certain analytes. [161][162][163]166,167,170 In order to adjust the diameter and surface charge density of a nanopore, Lepoitevin et al deposited alternating layers of PLL and poly(styrene sulfonate) onto track-etched, conicallyshaped nanopores in PET. 167 This approach modified the pore's ICR characteristics, while the addition of PLL grafted with poly(ethyleneglycol) (N-hydroxysuccinimide 5-pentanoate) ether 2-(biotinylamino) ethane (NHS-mPEG-biotin) made it possible to attach or recognize biotin-binding proteins.…”
Section: Other Coating Methods By Physisorptionmentioning
confidence: 99%
“…While the compositions of the layers and the deposition techniques vary, LBL coatings are most commonly used to manipulate nanopore size, 164 tailor surface chemistry, [165][166][167][168][169] or allow for the incorporation of other molecules for specific detection of certain analytes. [161][162][163]166,167,170 In order to adjust the diameter and surface charge density of a nanopore, Lepoitevin et al deposited alternating layers of PLL and poly(styrene sulfonate) onto track-etched, conicallyshaped nanopores in PET. 167 This approach modified the pore's ICR characteristics, while the addition of PLL grafted with poly(ethyleneglycol) (N-hydroxysuccinimide 5-pentanoate) ether 2-(biotinylamino) ethane (NHS-mPEG-biotin) made it possible to attach or recognize biotin-binding proteins.…”
Section: Other Coating Methods By Physisorptionmentioning
confidence: 99%
“… 57 Moreover, a probabilistic fuzzy algorithm is adopted to quantify the concentration range of analytes through a comparison between the Gaussian distribution of the blockage amplitude and the calibration values. 58 The fuzzy property endows the algorithm with flexibility, which can tolerate the data variation from the experimental conditions to some extent. Details of translocation waveform are considered by invoking more sophisticated physical models 55 , 59 to distinguish proteins based on their fingerprint feature of blockage of current distribution.…”
Section: Non-ml-based Signal Processing For Nanopore Sensingmentioning
confidence: 99%
“…For example, the Mahalanobis distance metrics are adopted to assess the similarity of certain spikes with labeled clusters in the feature space so that five different amino acids can be identified . Moreover, a probabilistic fuzzy algorithm is adopted to quantify the concentration range of analytes through a comparison between the Gaussian distribution of the blockage amplitude and the calibration values . The fuzzy property endows the algorithm with flexibility, which can tolerate the data variation from the experimental conditions to some extent.…”
Section: Non-ml-based Signal Processing For Nanopore Sensingmentioning
confidence: 99%
“…The signal was processed using the Monte Carlo simulation. The resulting biosensor was suitable to detect the thrombin in human serum for a concentration down to 50 pM with a response time of 10 min [248]. Yi-Lun Ying et al developed a functionalized nanopipette for the detection of α-fetal protein (AFP).…”
Section: Protein Assemblymentioning
confidence: 99%