Overview of Piezoelectric Biosensors, Immunosensors and DNA Sensors and Their Applications

Pohanka, Miroslav

doi:10.3390/ma11030448

Cited by 288 publications

(138 citation statements)

References 69 publications

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“…A change in reflectance frequency shift 30Hz (+ − 5) was measured after 1 h of viral sample introduction on electrode surface but sensitivity increased after using gold nanoparticle conjugated anti-HA and reflectance frequency shift increases 5.8-fold that observed at 102(+ − 11) Hz. When QCM was compared with other detection methods on 67 nasal samples, specificity was 100% and sensitivity is 81% as reported by [94,95]. Another sensor was reported in 2019, by using first radial mode of oscillations of lead zirconate titanate (PZT) piezoelectric discs with a dimension of 2 mm radius and 100 μm thickness covered with a piezoelectric membrane.…”

Section: Piezoelectric Biosensormentioning

confidence: 92%

Detection methods for influenza A H1N1 virus with special reference to biosensors: a review

et al. 2020

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H1N1 (Swine flu) is caused by influenza A virus, which is a member of Orthomyxoviridae family. Transmission of H1N1 occurs from human to human through air or sometimes from pigs to humans. The influenza virus has different RNA segments, which can reassert to make new virus strain with the possibility to create an outbreak in unimmunized people. Gene reassortment is a process through which new strains are emerging in pigs, as it has specific receptors for both human influenza and avian influenza viruses. H1N1 binds specifically with an α-2,6 glycosidic bond, which is present in human respiratory tract cells as well as in pigs. Considering the fact of fast multiplication of viruses inside the living cells, rapid detection methods need an hour. Currently, WHO recommended methods for the detection of swine flu include real-time PCR in specific testing centres that take 3–4 h. More recently, a number of methods such as Antigen–Antibody or RT-LAMP and DNA biosensors have also been developed that are rapid and more sensitive. This review describes the various challenges in the diagnosis of H1N1, and merits and demerits of conventional vis-à-vis latest methods with special emphasis on biosensors.

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Section: Piezoelectric Biosensormentioning

confidence: 92%

Detection methods for influenza A H1N1 virus with special reference to biosensors: a review

et al. 2020

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“…The sensor transduction systems can operate according to different physical principles. Sensing devices based on calorimetric (Yakovleva et al 2013), gravimetric (Pohanka 2018), optical (Borisov and Wolfbeis 2008), and electrochemical transducers have been reported. Some of them aimed at the determination of PAs showed excellent analytical performances (Kuo et al 2018).…”

Section: Methods For the Determination Of Polyaminesmentioning

confidence: 99%

Endogenous and food-derived polyamines: determination by electrochemical sensing

et al. 2018

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Polyamines (PAs) are involved in a variety of fundamental physio-pathologic processes. The concentration of these polycations in organs and tissues depends on their endogenous production and oxidation rates, and on their intake from foods. Besides being largely accepted as markers for the progress of several pathologies, PAs may exert themselves different effects on humans, ranging from being positive to be drastically detrimental depending on the organism conditions. Thus, if the determination of polyamines content in tissue samples is of great importance as they could be indicators of several diseases, their quantification in food is fundamental for modulating the diet to respond to a specific human health status. Thus, the determination of PA content in food is increasingly urgent. Standard analytical methods for polyamine quantification are mainly based on chromatography, where high-performance liquid chromatography and gas chromatography are the most often used, involving pre-column or post-column derivatization techniques. Driven by the growing need for rapid in situ analyses, electrochemical biosensors, comprising various combinations of different enzymes or nanomaterials for the selective bio-recognition and detection, are emerging as competitors of standard detection systems. The present review is aimed at providing an up-to-date overview on the recent progresses in the development of sensors and biosensors for the detection of polyamines in human tissues and food samples. Basic principles of different electrochemical (bio)sensor formats are reported and the applications in human tissues and in foods was evidenced.

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“…Mathematics 2020, 8, 342 5 of 28 which naturally satisfy the differential equation of equilibrium Equation (2). Substituting Equations (4), (6), and (8) into the Maxwell equation of equilibrium (Equation (5)) and consistency Equation (7), we have…”

Section: Mechanical Model and Basic Equationsmentioning

confidence: 99%

“…Piezoelectric materials have electromechanical coupling characteristics-i.e., they may generate mechanical deformation in an electric field and at the same time, electrical polarization under mechanical loads. This important characteristic makes them a good candidate for a variety of electromechanical devices-for example, sensors and actuators used extensively in electromechanical conversion [1][2][3][4]. Piezoelectric sensors are usually a laminated original made by ceramic slice.…”

Section: Introductionmentioning

confidence: 99%

Application of Multi-Parameter Perturbation Method to Functionally-Graded, Thin, Circular Piezoelectric Plates

Yang

et al. 2020

Mathematics

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In this study, a multi-parameter perturbation method is used for the solution of a functionally-graded, thin, circular piezoelectric plate. First, by assuming that elastic, piezoelectric, and dielectric coefficients of the functionally-graded materials vary in the form of the same exponential function, the basic equation expressed in terms of two stress functions and one electrical potential function are established in cylindrical coordinate system. Three piezoelectric coefficients are selected as perturbation parameters, and the established equations are solved by the multi-parameter perturbation method, thus obtaining up to first-order perturbation solutions. The validity of the perturbation solution obtained is verified by numerical simulations, based on layer-wise theory. The perturbation process indicates that adopting three piezoelectric coefficients as perturbation parameters follows the basic idea of perturbation theory—i.e., if the piezoelectricity may be regarded as a kind of introduced disturbance, the zero-order solution of the disturbance system corresponds exactly to the solution of functionally-graded plates without piezoelectricity. The result also indicates that the deformation magnitude of piezoelectric plates is smaller than that of plates without piezoelectricity, due to the well-known piezoelectric stiffening effect.

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Overview of Piezoelectric Biosensors, Immunosensors and DNA Sensors and Their Applications

Cited by 288 publications

References 69 publications

Detection methods for influenza A H1N1 virus with special reference to biosensors: a review

Detection methods for influenza A H1N1 virus with special reference to biosensors: a review

Endogenous and food-derived polyamines: determination by electrochemical sensing

Application of Multi-Parameter Perturbation Method to Functionally-Graded, Thin, Circular Piezoelectric Plates

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