Attachment and Detection of Biofouling Yeast Cells Using Biofunctionalized Resonant Sensor Modality

Abdallah, Mohammad G.; Buchanan-Vega, Joseph A.; Wenner, Brett R.; Allen, Jeffery; Allen, Monica; Gimlin, Susanne; Weidanz, Debra Wawro; Magnusson, Robert

doi:10.1109/jsen.2020.3040710

Cited by 6 publications

(13 citation statements)

References 30 publications

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“…This biosensor was suitable for the real-time detection of cell metabolic activity rather than the actual cell concentrations. Abdallah et al [12] used biorecognition elements to modify the surface of a resonant photonic grating sensor and detected biofouling in fuel systems with a low limit of detection (17 cells/mL). The limit of detection of the method proposed in our work is estimated to be 16 cells/mL, according to FDA guidance [59].…”

Section: Impedance Spectrummentioning

confidence: 99%

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Modeling of an Impedimetric Biosensor with Ultrasonic-Assisted Cell Alignment for the Detection of Yeast

Tian

Xie

et al. 2022

Journal of Sensors

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Yeast is an integral part of our environment. The detection of yeast is of great significance in many fields. The impedance-based sensor with interdigital microelectrodes is a promising method to establish a simple and portable detection system. However, the positions of yeast cells greatly influence the impedance variation and eventually the sensitivity of detection. In this study, an impedimetric biosensor with ultrasonic-assisted cell alignment for yeast detection was proposed. In order to verify the feasibility of this biosensor, finite element modeling was conducted using the software COMSOL. The acoustic pressure field and the acoustic radiation force exerted on yeast cells were investigated. Cell positions in the microfluidic channel were determined using the fluid particle tracking module. After that, the impedance between the microelectrodes was calculated. Yeast suspensions with different cell concentrations were used as the tested samples for the simulation. The proposed sensor showed a higher sensitivity than the conventional impedimetric biosensor on which the cells were randomly located. It can be used for the detection of microorganisms. This finite element modeling provided an effective approach for the design of biosensors.

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Section: Impedance Spectrummentioning

confidence: 99%

“…Molecular techniques, such as polymerase chain reaction [9,10], have high sensitivity and specificity but are expensive [11]. Biofunctionalized resonant photonic grating sensors [12] were used for yeast detection. The method needed an expensive and complex optical system to measure the resonance wavelength shifts.…”

Section: Introductionmentioning

confidence: 99%

Modeling of an Impedimetric Biosensor with Ultrasonic-Assisted Cell Alignment for the Detection of Yeast

Tian

Xie

et al. 2022

Journal of Sensors

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“…GMR can be widely used in sensing surrounding materials affecting the mode index. 6,7) Broadband reflection is also feasible by optimizing waveguide structure and utilizing multiple guided modes. 8,9) GMR configuration is attractive because it shows material losses smaller than metal mirrors and avoids multiple depositions required for dielectric multilayer mirrors.…”

Section: Introductionmentioning

confidence: 99%

An apodization method for guided-mode resonance grating with waveguide cavity

Watanabe

Ozawa

Ueda

et al. 2022

Jpn. J. Appl. Phys.

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A cavity-resonator-integrated guided-mode resonance mirror (CRIGM) consisting of a small-aperture grating coupler integrated in a waveguide cavity on a high-reflection substrate reflects an incident free-space wave with reflection-phase variation of 2π in a resonance condition. CRIGM has been investigated as a key component in surface mount packaging of VCSEL for future optical interconnects but the reflectance of a fabricated CRIGM was not sufficient. Matching of electric field distribution between an incident Gaussian beam and the reflected beam from the CRIGM is discussed for improving the reflectance. A new apodization method of grating-tooth shift is proposed for the field-distribution matching. CRIGMs with the new and a well-known fill-factor apodization methods are characterized by numerical simulation. It is predicted that the previously measured reflectance will be improved by more than 1.2 dB by introducing either of the apodization methods.

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“…A problem in the aviation industry is the contamination of fuel with foreign organisms such as yeast [1][2][3]. The accumulation of bioorganisms, which feed on the carbon in fuels, reduces fuel stability, corrodes storage tanks, and degrades the functions of valves, pumps, and other mechanisms in a fuel system; all of these problems are termed fuel biofouling [4,5]. Portable transducers that are inexpensive, collect data for long time intervals, and generate data quickly after a binding event, can be used to monitor the status of jet fuel stored in tankers.…”

Section: Introductionmentioning

confidence: 99%

“…A bio-selective layer can be applied to the sensor surface to capture the desired analyte and reject other substances in the environment [4,6,18,19]. Thus, a GMR sensor can be tailored to detect an analyte of choice without the use of labels, as in label-free sensing.…”

Section: Introductionmentioning

confidence: 99%

Multiparametric Guided-Mode Resonance Biosensor Monitoring Bulk and Surface-Film Variations

Buchanan-Vega

Magnusson

2022

Chemosensors

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A guided-mode resonance (GMR) sensor with multiple resonant modes is used to measure the collection of biomolecules on the sensor surface and the index of refraction of the sensor environment (bulk). The number of sensor variables that can be monitored (biolayer index of refraction, biolayer thickness, and bulk, or background, index of refraction) is determined by the number of supported resonant modes that are sensitive to changes in these variable values. The sensor we use has a grating and homogeneous layer, both of which are made of silicon nitride (Si3N4), on a quartz substrate. In this work, we simulate the sensor reflection response as a biolayer grows on the sensor surface at thicknesses from 0 to 20 nm and biolayer indices of refraction from 1.334 to 1.43 RIU; simultaneously, we vary the bulk index of refraction from 1.334 to 1.43 RIU. In the specified span of sensor variable values, the resonance wavelength shifts for 2023 permutations of the biolayer index of refraction, biolayer thickness, and bulk index of refraction are calculated and accurately inverted. Inversion is the process of taking resonant wavelength shifts, for resonant modes of a sensor, as input, and finding a quantitative variation of sensor variables as output. Analysis of the spectral data is performed programmatically with MATLAB. Using experimentally measured resonant wavelength shifts, changes in the values of biolayer index of refraction, biolayer thickness, and bulk index of refraction are determined. In a model experiment, we deposit Concanavalin A (Con A) on our sensor and subsequently deposit yeast, which preferentially bonds to Con A. A unique contribution of our work is that biolayer index and biolayer thickness are simultaneously determined.

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Attachment and Detection of Biofouling Yeast Cells Using Biofunctionalized Resonant Sensor Modality

Cited by 6 publications

References 30 publications

Modeling of an Impedimetric Biosensor with Ultrasonic-Assisted Cell Alignment for the Detection of Yeast

Modeling of an Impedimetric Biosensor with Ultrasonic-Assisted Cell Alignment for the Detection of Yeast

An apodization method for guided-mode resonance grating with waveguide cavity

Multiparametric Guided-Mode Resonance Biosensor Monitoring Bulk and Surface-Film Variations

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