Rapid dry-reagent immunomagnetic biosensing platform based on volumetric detection of nanoparticles on 3D structures

Орлов, А. В.; Bragina, V.A.; Nikitin, Maxim P.; Никитин, П. И.

doi:10.1016/j.bios.2015.12.049

Cited by 76 publications

(67 citation statements)

References 33 publications

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“…The accuracy can indicate systematic errors in a system and was calculated by comparing the concentrations measured with different spiking concentrations. The system accuracy was tested by detecting five concentrations (1,10,50,200, and 500 mIU mL −1 ) of HCG standard solutions (with three strips for each concentration), where each strip was inserted into the reader 10 times and the average value and standard deviation were calculated for each concentration. System accuracy was evaluated by calculating recovery as the ratio of the average detected concentration and standard concentration.…”

Section: Accuracy Testmentioning

confidence: 99%

“…This approach can be employed to detect the whole test zone (three-dimensional) even when the test zone is opaque and has a high "signal-to-noise" ratio because only a weak magnetic background signal is generated by biological samples. Several magnetic quantification methods using ICTSs have been reported, such as giant magnetoresistance (GMR) sensor-based methods [45][46][47][48], tunneling magnetoresistance (TMR) sensor-based methods [49], and coil-based methods [43,50,51]. Particularly, Marquina et al [47] used a GMR sensor-based method to quantitatively detect human chorionic gonadotropin (HCG), but this method showed low sensitivity, considerable noise, and a complex reuse process.…”

Section: Introductionmentioning

confidence: 99%

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Machine Learning Approach to Enhance the Performance of MNP-Labeled Lateral Flow Immunoassay

Yan

Wang

et al. 2019

Nano-Micro Lett.

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HIGHLIGHTS • An ultrasensitive multiplex biosensor was designed to quantify magnetic nanoparticles on immunochromatography test strips. • A machine learning model was constructed and used to classify both weakly positive and negative samples, significantly enhancing specificity and sensitivity. • A waveform reconstruction method was developed to appropriately restore the distorted waveform for weak magnetic signals.

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Section: Accuracy Testmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Machine Learning Approach to Enhance the Performance of MNP-Labeled Lateral Flow Immunoassay

Yan

Wang

et al. 2019

Nano-Micro Lett.

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“…exciting the reporters with a combination of two frequencies with magnetic fields strong enough to saturate the material [13,14]. With the exception of an exceedingly complex detection modality (not suitable for routine field applications) applied in conjunction with a conventional ac susceptometer [15], there are no published reports of magnetic nanoparticle inductive detection sensitivities approaching the femtoMag within 1000-fold. A benchtop susceptometer can detect ~60 billion 50 nm superparamagnetic Fe3O4 nanoparticles (20 μg) [16], while microfabricated planar coil sensors can detect 2 million 400 nm superparamagnetic Fe3O4 nanoparticles (0.3 μg) [17,18].…”

Section: Pcb-based Magnetometermentioning

confidence: 99%

PCB-Based Magnetometer as a Platform for Quantification of Lateral-Flow Assays

Khodadadi

Chang

Trabuco

et al. 2019

Sensors

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This work presents a proof-of-concept demonstration of a novel inductive transducer, the femtoMag, that can be integrated with a lateral-flow assay (LFA) to provide detection and quantification of molecular biomarkers. The femtoMag transducer is manufactured using a low-cost printed circuit board (PCB) technology and can be controlled by relatively inexpensive electronics. It allows rapid high-precision quantification of the number (or amount) of superparamagnetic nanoparticle reporters along the length of an LFA test strip. It has a detection limit of 10−10 emu, which is equivalent to detecting 4 ng of superparamagnetic iron oxide (Fe3O4) nanoparticles. The femtoMag was used to quantify the hCG pregnancy hormone by quantifying the number of 200 nm magnetic reporters (superparamagnetic Fe3O4 nanoparticles embedded into a polymer matrix) immuno-captured within the test line of the LFA strip. A sensitivity of 100 pg/mL has been demonstrated. Upon further design and control electronics improvements, the sensitivity is projected to be better than 10 pg/mL. Analysis suggests that an average of 109 hCG molecules are needed to specifically bind 107 nanoparticles in the test line. The ratio of the number of hCG molecules in the sample to the number of reporters in the test line increases monotonically from 20 to 500 as the hCG concentration increases from 0.1 ng/mL to 10 ng/mL. The low-cost easy-to-use femtoMag platform offers high-sensitivity/high-precision target analyte quantification and promises to bring state-of-the-art medical diagnostic tests to the point of care.

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“…25, 26 Similarly, alternate methods to modulate the flow of reporters through the strip have been proposed, including electrophoresis, 27 isotachophoresis, 28 and flow delay. 29 Finally, proposed ultrasensitive readouts include volumetric magnetization, 30, 31 near-infrared detection, 32 surface-enhanced Raman spectroscopy, 33 fluorescence, 34, 35 chemiluminescence, 9, 36 phosphorescence 37 , and thermal contrast. 38 In addition, much recent work has focused on smartphone-compatible readouts 39, 40 that are suitable for settings lacking sophisticated laboratory infrastructure or instrumentation.…”

Section: Introductionmentioning

confidence: 99%

Orientational binding modes of reporters in a viral-nanoparticle lateral flow assay

Kim

Poling-Skutvik

Trabuco

et al. 2017

Analyst

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Using microscopy and image analysis, we characterize binding of filamentous viral nanoparticles to a fibrous affinity matrix as models for reporter capture in a lateral flow assay (LFA). M13 bacteriophage (M13) displaying an in vivo-biotinylated peptide (AviTag) genetically fused to the M13 tail protein p3 are functionalized with fluorescent labels. We functionalize glass fiber LFA membranes with antibodies to M13, which primarily capture M13 on the major p8 coat proteins, or with avidin, which captures M13 at the biotin-functionalized tail, and compare orientational modes of reporter capture for the side- versus tip-binding recognition interactions. The number of captured M13 is greater for side-binding than for tip-binding, as expected from the number of recognition groups. Whereas two-thirds of side-bound M13 captured by an anti-M13 antibody bind immediately after colliding with the membrane, tip-bound M13 prominently exhibit three additional orientational modes that require M13 to reorient to enable binding. These results are consistent with the idea that the elongated M13 shape couples with the complex flow field in an open and disordered fibrous LFA membrane to enhance capture.

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Rapid dry-reagent immunomagnetic biosensing platform based on volumetric detection of nanoparticles on 3D structures

Cited by 76 publications

References 33 publications

Machine Learning Approach to Enhance the Performance of MNP-Labeled Lateral Flow Immunoassay

Machine Learning Approach to Enhance the Performance of MNP-Labeled Lateral Flow Immunoassay

PCB-Based Magnetometer as a Platform for Quantification of Lateral-Flow Assays

Orientational binding modes of reporters in a viral-nanoparticle lateral flow assay

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