Complementarity of EIS and SPR to Reveal Specific and Nonspecific Binding When Interrogating a Model Bioaffinity Sensor; Perspective Offered by Plasmonic Based EIS

Polonschii, Cristina; David, Sorin; Gáspár, Szilveszter; Gheorghiu, Mihaela; Rosu-Hamzescu, Mihnea; Gheorghiu, Eugen

doi:10.1021/ac501348n

Cited by 26 publications

(19 citation statements)

References 52 publications

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“…The detection could be done based on different methods such as wavelength, intensity and angular techniques. As the electric potential can modify the dielectric properties of the ionic liquid, the SPR has been applied along with electrochemical impedance spectroscopy (EIS) techniques (Polonschii et al, 2014 ). Depending on its fast, label free and high sensitivity response, SPR has been used to monitor neural activity (Kim et al, 2008 ).…”

Section: Introductionmentioning

confidence: 99%

Recording Neural Activity Based on Surface Plasmon Resonance by Optical Fibers-A Computational Analysis

Abedini

Tekieh

Sasanpour

2018

Front. Comput. Neurosci.

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An all optical, non-destructive method for monitoring neural activity has been proposed and its performance in detection has been analyzed computationally. The proposed method is based on excitation of Surface Plasmon Resonance (SPR) through the structure of optical fibers. The sensor structure consists of a multimode optical fiber where, the cladding of fiber has been removed and thin film of gold structure has been deposited on the surface. Impinging the laser light with appropriate wavelength inside the fiber and based on the total internal reflection, the evanescent wave will excite surface plasmons in the gold thin film. The absorption of light by surface plasmons in the gold structure is severely dependent on the dielectric properties at its vicinity. The electrical activity of neural cells (action potential) can modulate the dielectric properties at its vicinity and hence can modify the absorption of light inside the optical fiber. We have computationally analyzed the performance of the proposed sensor with different available geometries using Finite Element Method (FEM). In this regard, we have shown that the optical response of proposed sensor will track the action potential of the neuron at its vicinity. Based on different geometrical structure, the sensor has absorption in different regions of visible spectrum.

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Section: Introductionmentioning

confidence: 99%

Recording Neural Activity Based on Surface Plasmon Resonance by Optical Fibers-A Computational Analysis

Abedini

Tekieh

Sasanpour

2018

Front. Comput. Neurosci.

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“…Validation of their capabilities should be demonstrated side-by-side and in conjunction with currently used technologies, and in some cases, combination with other methods might be required to achieve the targeted sensitivities. For example, combining electrochemical detection with complementary optical methods (SPR [ 182 ], FTIR [ 123 ], SERS [ 183 ] etc.) brings more details on the selectivity and the mechanism of the detection, helping to optimize the biosensor design and improve performance.…”

Section: Discussionmentioning

confidence: 99%

Addressing the Selectivity of Enzyme Biosensors: Solutions and Perspectives

Bucur

Purcarea²,

Andreescu

et al. 2021

Sensors

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Enzymatic biosensors enjoy commercial success and are the subject of continued research efforts to widen their range of practical application. For these biosensors to reach their full potential, their selectivity challenges need to be addressed by comprehensive, solid approaches. This review discusses the status of enzymatic biosensors in achieving accurate and selective measurements via direct biocatalytic and inhibition-based detection, with a focus on electrochemical enzyme biosensors. Examples of practical solutions for tackling the activity and selectivity problems and preventing interferences from co-existing electroactive compounds in the samples are provided such as the use of permselective membranes, sentinel sensors and coupled multi-enzyme systems. The effect of activators, inhibitors or enzymatic substrates are also addressed by coupled enzymatic reactions and multi-sensor arrays combined with data interpretation via chemometrics. In addition to these more traditional approaches, the review discusses some ingenious recent approaches, detailing also on possible solutions involving the use of nanomaterials to ensuring the biosensors’ selectivity. Overall, the examples presented illustrate the various tools available when developing enzyme biosensors for new applications and stress the necessity to more comprehensively investigate their selectivity and validate the biosensors versus standard analytical methods.

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“…Indeed, optical methods can be easily implemented and are relatively inexpensive in particular when combined with multiparametric optical readouts of cell physiology within microscopy platforms [ 29 ]. Moreover, time-lapse fast impedance assays [ 25 , 26 ] on electrode adherent cells are capable of assessing with exquisite sensitivity the minute changes of cellular state triggered by exposure at bioactive compounds/stimuli and reveal, alone or in combination with optical assays [ 30 , 31 , 32 ], fast and affordable detection avenues and provide ideal transducers/cell physiomics analysis platforms.…”

Section: Optogenetics In Sensingmentioning

confidence: 99%

Advanced Optogenetic-Based Biosensing and Related Biomaterials

et al. 2021

Self Cite

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The ability to stimulate mammalian cells with light, brought along by optogenetic control, has significantly broadened our understanding of electrically excitable tissues. Backed by advanced (bio)materials, it has recently paved the way towards novel biosensing concepts supporting bio-analytics applications transversal to the main biomedical stream. The advancements concerning enabling biomaterials and related novel biosensing concepts involving optogenetics are reviewed with particular focus on the use of engineered cells for cell-based sensing platforms and the available toolbox (from mere actuators and reporters to novel multifunctional opto-chemogenetic tools) for optogenetic-enabled real-time cellular diagnostics and biosensor development. The key advantages of these modified cell-based biosensors concern both significantly faster (minutes instead of hours) and higher sensitivity detection of low concentrations of bioactive/toxic analytes (below the threshold concentrations in classical cellular sensors) as well as improved standardization as warranted by unified analytic platforms. These novel multimodal functional electro-optical label-free assays are reviewed among the key elements for optogenetic-based biosensing standardization. This focused review is a potential guide for materials researchers interested in biosensing based on light-responsive biomaterials and related analytic tools.

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Complementarity of EIS and SPR to Reveal Specific and Nonspecific Binding When Interrogating a Model Bioaffinity Sensor; Perspective Offered by Plasmonic Based EIS

Cited by 26 publications

References 52 publications

Recording Neural Activity Based on Surface Plasmon Resonance by Optical Fibers-A Computational Analysis

Recording Neural Activity Based on Surface Plasmon Resonance by Optical Fibers-A Computational Analysis

Addressing the Selectivity of Enzyme Biosensors: Solutions and Perspectives

Advanced Optogenetic-Based Biosensing and Related Biomaterials

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