A magnetoelastic biosensor based on E2 glycoprotein for wireless detection of classical swine fever virus E2 antibody

Guo, Xing; Sang, Shengbo; Guo, Jianhua; Jian, Aoqun; Duan, Qianqian; Ji, Jianlong; Zhang, Qiang; Zhang, Wendong

doi:10.1038/s41598-017-15908-2

Cited by 26 publications

(24 citation statements)

References 41 publications

(42 reference statements)

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“…A magnetostrictive sensor immobilized with E2 glycoprotein was developed to detect CSFV E2 antibodies. [ 125 ] Figure a–c shows a SEM image of the sensor's Au surface without and with functionalization, as well as the energy‐dispersive X‐ray spectroscopy (EDS) spectra for elemental analysis of the sensor surface before and after the immobilization of CSFV E2. It was found that the Au content decreases after CSFV E2 immobilization.…”

Section: Magnetostrictive Biosensorsmentioning

confidence: 99%

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A Review of Piezoelectric and Magnetostrictive Biosensor Materials for Detection of COVID‐19 and Other Viruses

et al. 2020

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fever with or without chills, chest tightness, dry cough, and shortness of breath, while developing patchy to diffuse infiltration of the lungs, as shown radiographically in Figure 1. Identifying and monitoring SARS-CoV-2 infection has become crucially important. A recent projection of the transmission dynamics of SARS-CoV-2 [2] showed that longitudinal serological studies are desperately needed to determine the extent and duration of immunity to SARS-CoV-2. Even in the event of apparent elimination, maintenance of SARS-CoV-2 surveillance is still needed because of a possible resurgence of contagion. In the past, notable viruses have emerged suddenly from obscurity or anonymity, provoking concern from the point of view of immunology regarding their sustained epidemic transmission in naive human populations. More than 70% of these infections have been zoonotic, entering either directly from wild animal reservoirs or indirectly via an intermediate domestic animal host. [3] Ebola virus, avian influenza, human immunodeficiency virus (HIV), and SARS are all examples of zoonoses that have emerged from wild animals, presenting an increasingly serious threat to human health and economies worldwide. Figure 2 shows the trend in the number of people infected with SARS-CoV-2. [4] The spread of the severe acute respiratory syndrome coronavirus has changed the lives of people around the world with a huge impact on economies and societies. The development of wearable sensors that can continuously monitor the environment for viruses may become an important research area. Here, the state of the art of research on biosensor materials for virus detection is reviewed. A general description of the principles for virus detection is included, along with a critique of the experimental work dedicated to various virus sensors, and a summary of their detection limitations. The piezoelectric sensors used for the detection of human papilloma, vaccinia, dengue, Ebola, influenza A, human immunodeficiency, and hepatitis B viruses are examined in the first section; then the second part deals with magnetostrictive sensors for the detection of bacterial spores, proteins, and classical swine fever. In addition, progress related to early detection of COVID-19 (coronavirus disease 2019) is discussed in the final section, where remaining challenges in the field are also identified. It is believed that this review will guide material researchers in their future work of developing smart biosensors, which can further improve detection sensitivity in monitoring currently known and future virus threats.

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Section: Magnetostrictive Biosensorsmentioning

confidence: 99%

Section: Magnetostrictive Biosensorsmentioning

confidence: 99%

A Review of Piezoelectric and Magnetostrictive Biosensor Materials for Detection of COVID‐19 and Other Viruses

et al. 2020

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“…The exception is that these types of biosensors work by magnetoelasticity instead of piezoelectricity. 64,65 Field Effect Transistor-Based Biosensor…”

Section: Magnetoelastic-based Biosensormentioning

confidence: 99%

Recent Advances in Nanotechnology-Based Biosensors Development for Detection of Arsenic, Lead, Mercury, and Cadmium

Maghsoudi¹,

Hassani²,

Mirnia³

et al. 2021

IJN

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Heavy metals cause considerable environmental pollution due to their extent and non-degradability in the environment. Analysis and trace levels of arsenic, lead, mercury, and cadmium as the most toxic heavy metals show that they can cause various hazards in humans’ health. To achieve rapid, high-sensitivity methods for analyzing ultra-trace amounts of heavy metals in different environmental and biological samples, novel biosensors have been designed with the participation of strategies applied in nanotechnology. This review attempted to investigate the novel, sensitive, efficient, cost-benefit, point of care, and user-friendly biosensors designed to detect these heavy metals based on functional mechanisms. The study’s search strategies included examining the primary databases from 2015 onwards and various keywords focusing on heavy metal biosensors’ performance and toxicity mechanisms. The use of aptamers and whole cells as two important bio-functional nanomaterials is remarkable in heavy metal diagnostic biosensors’ bioreceptor design. The application of hybridized nanomaterials containing a specific physicochemical function in the presence of a suitable transducer can improve the sensing performance to achieve an integrated detection system. Our study showed that in addition to both labeled and label-free detection strategies, a wide range of nanoparticles and nanocomposites were used to modify the biosensor surface platform in the detection of heavy metals. The detection limit and linear dynamic range as an essential characteristic of superior biosensors for the primary toxic metals are studied. Furthermore, the perspectives and challenges facing the design of heavy metal biosensors are outlined. The development of novel biosensors and the application of nanotechnology, especially in real samples, face challenges such as the capability to simultaneously detect multiple heavy metals, the interference process in complex matrices, the efficiency and stability of nanomaterials implemented in various laboratory conditions.

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“…For examples by using a piezoelectric material, we refer to Yamada et al (1988), Losinski (1999), Park et al (2003), Sodano et al (2005), Kim and Han (2006), Kovalovs et al (2007), Lanza-Discalea et al (2007), Brunner et al (2009), Yang et al (2009), Paradies and Ciresa (2009), Van Wingerden et al (2011, Tanida et al (2013), Pagel et al (2013). In Ginder et al (1999), Frommberger et al (2003, Ausanio et al (2005), Bieńkowski et al (2010), Grimes et al (2011), Li et al (2013), Guo et al (2017), a magnetoelastic material is used for different applications. Thermoelectric coupling is demonstrated in Sauciuc and Chrysler (2006), Zhao and Tan (2014), He et al (2015).…”

Section: Examplesmentioning

confidence: 99%

Theory and computation of electromagnetic fields and thermomechanical structure interaction for systems undergoing large deformations

Abali

Queiruga

2019

Journal of Computational Physics

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For an accurate description of electromagneto-thermomechanical systems, electromagnetic fields need to be described in a Eulerian frame, whereby the thermomechanics is solved in a Lagrangean frame. It is possible to map the Eulerian frame to the current placement of the matter and the Lagrangean frame to a reference placement. We present a rigorous and thermodynamically consistent derivation of governing equations for fully coupled electromagneto-thermomechanical systems properly handling finite deformations. A clear separation of the different frames is necessary. There are various attempts to formulate electromagnetism in the Lagrangean frame, or even to compute all fields in the current placement. Both formulations are challenging and heavily discussed in the literature. In this work, we propose another solution scheme that exploits the capabilities of advanced computational tools. Instead of amending the formulation, we can solve thermomechanics in the Lagrangean frame and electromagnetism in the Eulerian frame and manage the interaction between the fields. The approach is similar to its analog in fluid structure interaction, but more challenging because the field equations in electromagnetism must also be solved within the solid body while following their own different set of transformation rules. We additionally present a mesh-morphing algorithm necessary to accommodate finite deformations to solve the electromagnetic fields outside of the material body. We illustrate the use of the new formulation by developing an opensource implementation using the FEniCS package and applying this implementation to several engineering problems in electromagnetic structure interaction undergoing large deformations.

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A magnetoelastic biosensor based on E2 glycoprotein for wireless detection of classical swine fever virus E2 antibody

Cited by 26 publications

References 41 publications

A Review of Piezoelectric and Magnetostrictive Biosensor Materials for Detection of COVID‐19 and Other Viruses

A Review of Piezoelectric and Magnetostrictive Biosensor Materials for Detection of COVID‐19 and Other Viruses

Recent Advances in Nanotechnology-Based Biosensors Development for Detection of Arsenic, Lead, Mercury, and Cadmium

Theory and computation of electromagnetic fields and thermomechanical structure interaction for systems undergoing large deformations

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