Colorimetric detection of influenza A (H1N1) virus by a peptide-functionalized polydiacetylene (PEP-PDA) nanosensor

Author(s): Sinae Song ¹ ^, ² ^, ³ ^, ⁴ , Kab Ha ¹ ^, ² ^, ³ ^, ⁴ , Kyeonghye Guk ¹ ^, ² ^, ³ ^, ⁴ ^, ⁵ , Seul-Gee Hwang ¹ ^, ² ^, ³ ^, ⁴ ^, ⁵ , Jong Min Choi ⁶ ^, ⁷ ^, ³ ^, ⁴ , Taejoon Kang ¹ ^, ² ^, ³ ^, ⁴ ^, ⁵ , Pankee Bae ⁶ ^, ⁷ ^, ³ ^, ⁴ , Juyeon Jung ¹ ^, ² ^, ³ ^, ⁴ ^, ⁵ , Eun-Kyung Lim ¹ ^, ² ^, ³ ^, ⁴

Publication date (Electronic): 2016

Journal: RSC Advances

Publisher: Royal Society of Chemistry (RSC)

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Abstract

We developed a peptide-functionalized polydiacetylene nanosensor for pH1N1 virus detection with the naked eye.

Abstract

We developed a peptide-functionalized polydiacetylene (PEP-PDA) nanosensor for pandemic H1N1 virus (pH1N1) detection with the naked eye. A PDA nanosensor was fabricated by nano-precipitation and modified with PEP for the specific recognition of pH1N1. The PEP-PDA nanosensor showed unique chromatic properties involving a colour change from blue to red in the presence of pH1N1. We believe that this nanosensor can be applied for the development of a commercially available kit for pH1N1 detection.

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Fast, ultrasensitive virus detection using a Young interferometer sensor.

Vinod Subramaniam, Aurel Ymeti, Tom Beumer … (2007)

We report the application of an integrated optical Young interferometer sensor for ultrasensitive, real-time, direct detection of viruses. We have validated the sensor by detecting herpes simplex virus type 1 (HSV-1), but the principle is generally applicable. Detection of HSV-1 virus particles was performed by applying the virus sample onto a sensor surface coated with a specific antibody against HSV-1. The performance of the sensor was tested by monitoring virus samples at clinically relevant concentrations. We show that the Young interferometer sensor can specifically and sensitively detect HSV-1 at very low concentrations (850 particles/mL). We have further demonstrated that the sensor can specifically detect HSV-1 suspended in serum. Extrapolation of the results indicates that the sensitivity of the sensor approaches the detection of a single virus particle binding, yielding a sensor of unprecedented sensitivity with wide applications for viral diagnostics.

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Colorimetric detection of influenza A virus using antibody-functionalized gold nanoparticles.

Yuanjian Liu, Linqun Zhang, Wei Wei … (2015)

Early and accurate diagnosis is considered the key issue to prevent the further spread of viruses and facilitate influenza therapy. Herein, we report a colorimetric immunosensor for influenza A virus (IAV) based on gold nanoparticles (AuNPs) modified with monoclonal anti-hemagglutinin antibody (mAb). The immunosensor allows for a fast, simple, and selective detection of IAV. In this assay, influenza-specific antibodies are conjugated to AuNPs to create mAb-AuNP probes. Since IAV has multiple recognition sites for probes on the surface, the mAb-AuNP probes can be specifically arranged on the virus surface due to their very specific antigen recognition. In this case, this aggregation of the mAb-AuNP probes produces a red shift in the absorption spectrum due to plasmon coupling between adjacent AuNPs, and it can be detected with the naked eye as a color change from red to purple and quantified with the absorption spectral measurements. The aggregate formation is also confirmed with transmission electron microscopy (TEM) imaging and dynamic light scattering (DLS). Under the optimal conditions, the present immunoassay can sensitively measure H3N2 IAV (A/Brisbane/10/2007) with a detection limit of 7.8 hemagglutination units (HAU). This proposed immunosensor revealed high specificity, accuracy, and good stability. Notably, it is a single-step detection using AuNP probes and UV-vis spectrophotometer for readout, and no additional amplification, e.g., enzymatic, is needed to read the result. This assay depends on an ordered AuNP structure covering the virus surface and can be applied to any virus pathogen by incorporating the appropriate pathogen-specific antibody.