Upconversion Fluorescence Resonance Energy Transfer Aptasensors for H5N1 Influenza Virus Detection

Zhao, Qiuzi; Du, Ping; Wang, Xiaoyong; Huang, Mengqian; Sun, Ling‐Dong; Wang, Tao; Wang, Zhiyun

doi:10.1021/acsomega.1c01491

Cited by 21 publications

(20 citation statements)

References 38 publications

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“…Influenza A viruses contain hemagglutinin within their envelope and also infected cells exhibit this protein [34, 104]. Zhao et al developed an aptamer‐based sensor for detecting HA by exploiting the Förster resonance energy transfer (FRET) principle [105]. Wiriyachaiporn et al addressed the influenza B virus nucleoprotein with a fluorescence‐based lateral flow test.…”

Section: Virus Detectionmentioning

confidence: 99%

Understanding viruses and viral infections by biophotonic methods

Ramoji

Pahlow

Pistiki

et al. 2022

Transl Biophotonics

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In the last few decades outbreaks of viral infections have often challenged the world‐wide health infrastructure and caused a significant financial burden as well as human suffering despite progress in diagnostic technologies. The recent outbreaks of the Ebola virus in the African continent, the Zika virus in the American continent, severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), influenza A and lately severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) viral infections have repeatedly highlighted the importance of technological advancement enabling a better understanding of virions. In this review, we systematically discuss different aspects of virions and how their properties and functions can be studied using different light‐based technologies. We focus on virion classification, detection and interactions with the host's immune system. Further, the potential of advanced biophotonic methods, for example, Raman, infrared reflection, absorption and fluorescence spectroscopy, advanced microscopic techniques and biosensor‐based approaches for diagnosing viral infections, investigating therapeutics and vaccine development are described. Although significant advancements have already been made in photonic technologies, which even enable visualizing virion‐host interactions on single‐cell level, the continuous evolution of viruses demands further progress in biophotonic solutions for fast, affordable and robust health monitoring devices for screening viral infections.

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Section: Virus Detectionmentioning

confidence: 99%

Understanding viruses and viral infections by biophotonic methods

Ramoji

Pahlow

Pistiki

et al. 2022

Transl Biophotonics

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show abstract

“…Wang and co-workers [73] constructed a sandwich-structured upconversion nanoparticle (UCNP) G16 based on the combination of an HA aptamer, GO, and polyacrylic acid for the detection of H5N1 IAV hemagglutinin (HA). In G16, the energy transfer process occurred because of the π-π interaction between the aptamer and GO, which reduced the gap between the UCNP and GO (Figure 18).…”

Section: Biomolecule Bacteria and Virus Sensormentioning

confidence: 99%

“…In G16, the energy transfer process occurred because of the π-π interaction between the aptamer and GO, which reduced the gap between the UCNP and GO (Figure 18). In the presence of HA, G16 enabled the [73] with permission from the American Chemical Society.…”

Section: Biomolecule Bacteria and Virus Sensormentioning

confidence: 99%

“…Moreover, G17 could be used to detect miRNA 21 in human serum, biological cell lines, and MDA-MB231 living cancer cells. [73] with permission from the American Chemical Society.…”

Section: Dna and Rna Sensormentioning

confidence: 99%

“…Schematic representation of UCNPs (G16) and their sensing of HA of influenza via the FRET process. Reprinted from[73] with permission from the American Chemical Society.…”

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confidence: 99%

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Role of Förster Resonance Energy Transfer in Graphene-Based Nanomaterials for Sensing

et al. 2022

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Förster resonance energy transfer (FRET)-based fluorescence sensing of various target analytes has been of growing interest in the environmental, bioimaging, and diagnosis fields. Graphene-based zero- (0D) to two-dimensional (2D) nanomaterials, such as graphene quantum dots (GQDs), graphene oxide (GO), reduced graphene oxide (rGO), and graphdiyne (GD), can potentially be employed as donors/acceptors in FRET-based sensing approaches because of their unique electronic and photoluminescent properties. In this review, we discuss the basics of FRET, as well as the role of graphene-based nanomaterials (GQDs, GO, rGO, and GD) for sensing various analytes, including cations, amino acids, explosives, pesticides, biomolecules, bacteria, and viruses. In addition, the graphene-based nanomaterial sensing strategy could be applied in environmental sample analyses, and the reason for the lower detection ranges (micro- to pico-molar concentration) could also be explained in detail. Challenges and future directions for designing nanomaterials with a new sensing approach and better sensing performance will also be highlighted.

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Advances in upconversion luminescence nanomaterial‐based biosensor for virus diagnosis

Song

et al. 2022

Exploration

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Various infectious viruses have been posing a major threat to global public health, especially SARS‐CoV‐2, which has already claimed more than six million lives up to now. Tremendous efforts have been made to develop effective techniques for rapid and reliable pathogen detection. The unique characteristics of upconversion nanoparticles (UCNPs) pose numerous advantages when employed in biosensors, and they are a promising candidate for virus detection. Herein, this Review will discuss the recent advancement in the UCNP‐based biosensors for virus and biomarkers detection. We summarize four basic principles that guide the design of UCNP‐based biosensors, which are utilized with luminescent or electric responses as output signals. These strategies under fundamental mechanisms facilitate the enhancement of the sensitivity of UCNP‐based biosensors. Moreover, a detailed discussion and benefits of applying UCNP in various virus bioassays will be presented. We will also address some obstacles in these detection techniques and suggest routes for progress in the field. These progressions will undoubtedly pose UCNP‐based biosensors in a prominent position for providing a convenient, alternative approach to virus detection.

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Upconversion Fluorescence Resonance Energy Transfer Aptasensors for H5N1 Influenza Virus Detection

Cited by 21 publications

References 38 publications

Understanding viruses and viral infections by biophotonic methods

Understanding viruses and viral infections by biophotonic methods

Role of Förster Resonance Energy Transfer in Graphene-Based Nanomaterials for Sensing

Advances in upconversion luminescence nanomaterial‐based biosensor for virus diagnosis

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