Surface plasmon resonance biosensor based on graphene layer for the detection of waterborne bacteria

Daher, Malek G.; Taya, Sofyan A.; Çolak, İlhami; Patel, Shobhit K.; Olaimat, Melad M.; Ramahi, Omar M.

doi:10.1002/jbio.202200001

Cited by 73 publications

(19 citation statements)

References 30 publications

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“…2020 156.33 [44] An SPR sensor employing a thin layer of plasma. 2021 103 [45] An SPR biosensor based on G. 2022 199.87 [32] Detection of fat concentration in milk using SPR biosensor based on Si and Ti 3 C 2 T x . 2022 350 Current work…”

Section: Discussionmentioning

confidence: 99%

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Optical Detection of Fat Concentration in Milk Using MXene-Based Surface Plasmon Resonance Structure

et al. 2022

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MXene (Ti3C2Tx) has emerged very recently as an interacting material for surface plasmon resonance (SPR) configuration. It was discovered that Ti3C2Tx can facilitate the adsorption of biomolecules due to its higher binding energies, stronger interaction between matter and light, and larger surface area. In this work, a two-dimensional Ti3C2Tx and silicon layer-based SPR refractometric sensor is proposed for the sensitive and fast detection of milk fat concentration due to the high significance of this issue to people all over the world. The proposed SPR structure employs BK7 (BK7 is a designation for the most common Borosilicate Crown glass used for a variety of applications in the visible range) as a coupling prism and silver as a metal layer. The layer thicknesses and the number of Ti3C2Tx sheets are optimized for the highest performance. The highest reached sensitivity is 350 deg./RIU with 50 nm silver and 4 nm silicon with a monolayer of Ti3C2Tx, which is ultra-high sensitivity compared to the latest work that utilizes SPR configuration. The proposed SPR-based sensor’s ultra-high sensitivity makes it more attractive for usage in a variety of biosensing applications.

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Section: Discussionmentioning

confidence: 99%

“…In a recent study, we demonstrated four different commonly used prisms, which are N-FK51A, 2S2G, SF10, and BK7. We found that structures with N-FK51A and BK7 had the highest sensitivity [ 32 ]. It was shown in the same study that sensor sensitivity can be enhanced when using a low refractive index prism.…”

Section: Structure Considerationmentioning

confidence: 99%

Optical Detection of Fat Concentration in Milk Using MXene-Based Surface Plasmon Resonance Structure

et al. 2022

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“…The principle behavior of SPR-based sensors typically includes fiber-optic SPR [ 258 , 259 ], SPR imaging [ 260 , 261 ], and localized SPR [ 262 , 263 ]. Recently, the four SPR biosensors consisting of prism, Ag, graphene, affinity layer, and sensing medium, were studied to detect bacteria in drinking water [ 264 ]. The as-designed SPR sensor exhibited a high sensitivity of Escherichia coli (223.63°/RIU) and Vibrio cholera (199.87°/RIU).…”

Section: Other Nanomaterial-based Methodologymentioning

confidence: 99%

Recent Progress in Nanotechnology-Based Approaches for Food Monitoring

et al. 2022

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Throughout the food supply chain, including production, storage, and distribution, food can be contaminated by harmful chemicals and microorganisms, resulting in a severe threat to human health. In recent years, the rapid advancement and development of nanotechnology proposed revolutionary solutions to solve several problems in scientific and industrial areas, including food monitoring. Nanotechnology can be incorporated into chemical and biological sensors to improve analytical performance, such as response time, sensitivity, selectivity, reliability, and accuracy. Based on the characteristics of the contaminants and the detection methods, nanotechnology can be applied in different ways in order to improve conventional techniques. Nanomaterials such as nanoparticles, nanorods, nanosheets, nanocomposites, nanotubes, and nanowires provide various functions for the immobilization and labeling of contaminants in electrochemical and optical detection. This review summarizes the recent advances in nanotechnology for detecting chemical and biological contaminations in the food supply chain.

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“…A highly sensitive SPR biosensor consists of the prism, gold coating, graphene, affinity layer, and sensing medium for the detection of waterborne pathogens. The structural parameters of the biosensor were optimized to attain a higher sensitivity of 221.63°/RIU for E. coli and 178.12°/RIU for Vibrio cholera pathogen with an average value of 199.87°/RIU [ 56 ]. An optical sensor based on thin liquid film was designed by combining the SPR, light extinction, and near-critical angle reflection.…”

Section: Surface Plasmon Resonance (Spr)mentioning

confidence: 99%

Recent Progress in Spectroscopic Methods for the Detection of Foodborne Pathogenic Bacteria

et al. 2022

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Detection of foodborne pathogens at an early stage is very important to control food quality and improve medical response. Rapid detection of foodborne pathogens with high sensitivity and specificity is becoming an urgent requirement in health safety, medical diagnostics, environmental safety, and controlling food quality. Despite the existing bacterial detection methods being reliable and widely used, these methods are time-consuming, expensive, and cumbersome. Therefore, researchers are trying to find new methods by integrating spectroscopy techniques with artificial intelligence and advanced materials. Within this progress report, advances in the detection of foodborne pathogens using spectroscopy techniques are discussed. This paper presents an overview of the progress and application of spectroscopy techniques for the detection of foodborne pathogens, particularly new trends in the past few years, including surface-enhanced Raman spectroscopy, surface plasmon resonance, fluorescence spectroscopy, multiangle laser light scattering, and imaging analysis. In addition, the applications of artificial intelligence, microfluidics, smartphone-based techniques, and advanced materials related to spectroscopy for the detection of bacterial pathogens are discussed. Finally, we conclude and discuss possible research prospects in aspects of spectroscopy techniques for the identification and classification of pathogens.

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Surface plasmon resonance biosensor based on graphene layer for the detection of waterborne bacteria

Cited by 73 publications

References 30 publications

Optical Detection of Fat Concentration in Milk Using MXene-Based Surface Plasmon Resonance Structure

Optical Detection of Fat Concentration in Milk Using MXene-Based Surface Plasmon Resonance Structure

Recent Progress in Nanotechnology-Based Approaches for Food Monitoring

Recent Progress in Spectroscopic Methods for the Detection of Foodborne Pathogenic Bacteria

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