Plasmonic/magnetic molybdenum trioxide and graphitic carbon nitride quantum dots-based fluoroimmunosensing system for influenza virus

Achadu, Ojodomo J.; Takemura, Kenshin; Khoris, Indra Memdi; Park, Enoch Y.

doi:10.1016/j.snb.2020.128494

Cited by 49 publications

(28 citation statements)

References 54 publications

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“…Recently, similar detection based on other 2D materials was reported. For instance, a magnetic/ plasmonic-assisted fluoroimmunosensor platform was developed by Achadu et al [112] for the detection of influenza A virus. The fluorescent g-C 3 N 4 quantum dots (QDs) were functionalized with specific antibodies against influenza A virus as the fluorescent probe and further conjugated with magnetic-derivatized plasmonic MoO 3 .…”

Section: Fluorescence Detection Of Virusmentioning

confidence: 99%

Two-dimensional material-based virus detection

et al. 2022

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Cost-effective, rapid, and accurate virus detection technologies play key roles in reducing viral transmission. Prompt and accurate virus detection enables timely treatment and effective quarantine of virus carrier, and therefore effectively reduces the possibility of large-scale spread. However, conventional virus detection techniques often suffer from slow response, high cost or sophisticated procedures. Recently, two-dimensional (2D) materials have been used as promising sensing platforms for the high-performance detection of a variety of chemical and biological substances. The unique properties of 2D materials, such as large specific area, active surface interaction with biomolecules and facile surface functionalization, provide advantages in developing novel virus detection technologies with fast response and high sensitivity. Furthermore, 2D materials possess versatile and tunable electronic, electrochemical and optical properties, making them ideal platforms to demonstrate conceptual sensing techniques and explore complex sensing mechanisms in next-generation biosensors. In this review, we first briefly summarize the virus detection techniques with an emphasis on the current efforts in fighting again COVID-19. Then, we introduce the preparation methods and properties of 2D materials utilized in biosensors, including graphene, transition metal dichalcogenides (TMDs) and other 2D materials. Furthermore, we discuss the working principles of various virus detection technologies based on emerging 2D materials, such as field-effect transistor-based virus detection, electrochemical virus detection, optical virus detection and other virus detection techniques. Then, we elaborate on the essential works in 2D material-based high-performance virus detection. Finally, our perspective on the challenges and future research direction in this field is discussed.

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Section: Fluorescence Detection Of Virusmentioning

confidence: 99%

Two-dimensional material-based virus detection

et al. 2022

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“…A specific antibody towards the influenza A virus was coupled onto the surface of the MP-MoO 3 QDs and gCNQDs in respective order. When influenza A virus is present, a core-satellite immunocomplex forms between the antibody-coupled nanomaterials and their interplay modulates which enhances gradually the fluorescence strength of the detecting probe with an elevation depending on the influenza virus concentrations [ 102 ]. A photoelectrochemical immunosensor with sensitivity and specificity was manufactured to analyze subgroup J avian leukosis viruses (ALV-J) according to a dual signal-on approach ( Fig.…”

Section: Application Of Carbon Nanomaterials For Viral Diagnosismentioning

confidence: 99%

Application of carbon nanomaterials in human virus detection

Ehtesabi

2020

Journal of Science: Advanced Materials and Devices

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Human-pathogenic viruses are still a chief reason for illness and death on the globe, as epitomized by the COVID-19 pandemic instigated by a coronavirus in 2020. Multiple novel sensors have been invented because diseases must be detected and diagnosed as early as possible, and recognition methods have to be carried out with minimal invasivity. Sensors have been particularly developed focusing on miniaturization by the use of nanomaterials for fabricating nanosensors. The nano-sized nature of nanomaterials and their exclusive optical, electronical, magnetical, and mechanical attributes can enhance patient care through the use of sensors with minimal invasivity and extreme sensitivity. Amongst the nanomaterials utilized for fabricating nano-sensors, carbon-based nanomaterials are promising as these sensors respond better to signals in various sensing settings. This review provides an overview of the recent developments in carbon nanomaterial-based biosensors for viral recognition based on the biomarkers that arise from the infection, the nucleic acids from the viruses, and the entire virus. The role of carbon nanomaterials is highlighted by the improvement of sensor and recognition functionality. The Dengue virus, Ebola virus, Hepatits virus, human immunodeficiency virus (HIV), influenza virus, Zika virus and Adenovirus are the virus types reviewed to illustrate the implementation of the techniques. Finally, the drawbacks and advantages of carbon nanomaterial-based biosensors for viral recognition are identified and discussed.

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“…To detect the virus, Achadu and co‐workers developed a novel magnetic/plasmonic‐assisted fluoro‐immunoassay system for the trace level detection of influenza‐A virus by utilizing magnetic‐derivatized plasmonic molybdenum trioxide quantum dots (MP‐MoO 3 QDs) as the plasmonic/magnetic agent and fluorescent graphitic carbon nitride quantum dots (gCNQDs) as the monitoring probe (Figure 12A‐D). [ 131 ] While doing this, they first conjugated the anti‐influenza‐A antibody onto the surface of MP‐MoO 3 QDs and gCNQDs, respectively (Figure 12A,B). When the influenza‐A virus is present in the solution, a core‐satellite immune‐complex is formed (Ab‐MP‐MoO 3 QDs and Ab‐gCNQDs), and their interaction resulted in the gradual enhancement of the FL intensity of the detection probe (Figure 12C,D).…”

Section: Applications Of G‐c3n4 In Signal‐transducing Agent For Sensomentioning

confidence: 99%

“…Reproduced with permission. [ 131 ] Copyright, 2020 Elsevier. E, Schematic diagram of the synthesis process for WS‐GCN@AuNCs.…”

Section: Applications Of G‐c3n4 In Signal‐transducing Agent For Sensomentioning

confidence: 99%

Emerging tri‐s‐triazine‐based graphitic carbon nitride: A potential signal‐transducing nanostructured material for sensor applications

et al. 2020

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Today, tris‐s‐triazine based graphitic carbon nitride (g‐C3N4) is a new research hot topic. It has a unique electronic band structure, high physicochemical stability, large surface area, and is “earth‐abundant.” These and other properties have made it a highly researched material especially for visible light photocatalysis and photodegradation applications and as the starting material from which to develop novel electrochemical sensing platforms. In this review, the state‐of‐the‐art technologies utilizing tris‐s‐triazine graphitic carbon nitride as a tailorable signal‐transducing nanostructured material for sensing applications is presented in detail. Initially, the electronic structure of g‐C3N4, morphologies, doping, heterojunctions, its combination with other carbon materials, and defect formation, is described, which is followed by a discussion on its role in electrochemiluminescence, photoelectrochemical, fluorescence sensors and gas sensors as a signal transducer with appropriate examples. This review concludes with a discussion summarizing state‐of‐the‐art and both future perspectives and challenges at the cutting edge of this research.

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Plasmonic/magnetic molybdenum trioxide and graphitic carbon nitride quantum dots-based fluoroimmunosensing system for influenza virus

Cited by 49 publications

References 54 publications

Two-dimensional material-based virus detection

Two-dimensional material-based virus detection

Application of carbon nanomaterials in human virus detection

Emerging tri‐s‐triazine‐based graphitic carbon nitride: A potential signal‐transducing nanostructured material for sensor applications

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