Enhanced Electrocatalytic Detection of Choline Based on CNTs and Metal Oxide Nanomaterials

Uwaya, Gloria Ebube; Fayemi, Omolola E.

doi:10.3390/molecules26216512

Cited by 3 publications

(1 citation statement)

References 70 publications

(218 reference statements)

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“…Enzymes can be immobilized on the piezoelectric surface, where they catalyze the conversion of the target analyte, leading to a change in mass or surface stress, which is then detected as a change in the piezoelectric signal. Lipasebased biosensors for detecting triglycerides in food and biological samples (35), protease-based biosensors for detecting proteolytic activity in food and environmental samples (36), choline oxidase-based biosensors for detecting choline in biological samples (37), lactate oxidase-based biosensors for detecting lactate in blood and other biological fluids (22). These biosensors offer high sensitivity and specificity, fast response time, and can be used for a wide range of applications in healthcare, environmental monitoring, food safety, and more.…”

Section: Enzymes-based Computational Biosensormentioning

confidence: 99%

https://sifisheriessciences.com/index.php/journal/article/view/1280

Hamed¹

2023

SFS

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Biosensors are powerful analytical devices that detect and quantify target analytes in a sample. Due to their high selectivity and sensitivity, enzymes, proteins, antibodies, peptides, and whole cells are commonly used as sensing elements in biosensors. However, the design and optimization of biosensors can be challenging due to the complexity of these biomolecules and their interactions with target analytes. In recent years, computational methods have emerged as powerful tools for designing and optimizing biosensors, enabling researchers to predict the behavior of biomolecules and their interactions with target analytes. Computational fluid mechanics can aid in the design of microfluidic systems for biosensing applications. In contrast, molecular dynamic simulation, molecular docking, quantum mechanics, and virtual screening methods can be used to predict the behavior of biomolecules at the atomic level and study the binding kinetics and thermodynamics of interactions. This paper critically discusses the use of computational methods in biosensors, focusing on enzyme-based, protein-based, antibody-based, peptide-based, and whole-cell-based biosensors. We also review using computational fluid mechanics, molecular dynamic simulation, molecular docking, quantum mechanics, and virtual screening methods in biosensor design and optimization. Additionally, we discuss the applications of these computational methods and biosensors in healthcare, environmental monitoring, food safety, biodefense, and security. Combining computational biosensors and computational methods offers tremendous potential for developing advanced biosensors with enhanced sensitivity, specificity, and accuracy. However, challenges remain, such as the need for more accurate models and the integration of experimental and computational approaches. We conclude by discussing the prospects and challenges of computational biosensors and methods, highlighting the need for further research to drive innovation and improve human health and well-being.

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Section: Enzymes-based Computational Biosensormentioning

confidence: 99%

https://sifisheriessciences.com/index.php/journal/article/view/1280

Hamed¹

2023

SFS

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Layer-by-Layer Au Nanoparticle/PbSe Quantum Dot Heterostructures as High-Efficiency Hole-Driven Substrates for Cation Quantification

Chen,

Ye,

Zhou

et al. 2024

ACS Appl. Nano Mater.

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The detection of cations plays a significant role in environmental, pharmaceutical, and clinical analysis. In this study, a uniform Au nanoparticle/PbSe quantum dot heterostructure that promotes the desorption of a variety of cationic analytes (e.g., malachite green, berberine, and choline) was designed based on a layer-by-layer assembly strategy. The fabrication process involved applying a monolayer of AuNPs to a derivatized coverslip, followed by depositing a second layer of PbSe QDs. Through ultraviolet− visible−near-infrared spectroscopy, X-ray photoelectron spectroscopy, Raman spectroscopy, and Hall effect measurements, it was revealed that the oxidation of PbSe QDs can induce a transition in electrical transport from n-type to p-type conductivity. This significant change results in an Ohmic contact formed at the heterointerface, which facilitates the transfer of holes from the underlying AuNPs to the surface of PbSe QDs upon UV laser excitation. Thus, the accumulated holes of QDs repel the cationic analytes via Coulombic forces, significantly enhancing the desorption process on the Au/PbSe heterostructure compared to that of the reverse layer configuration. The enhancement in desorption is not attributed to thermal effects, as further confirmed by employing benzylpyridinium as a chemical thermometer. Finally, this hole-driven substrate was applied to quantify choline levels in the human serum from healthy controls and lung cancer patients, and it had high sensitivity and linear correlation for real samples. The results demonstrated that Au/PbSe-assisted LDI-MS offers significant advantages in rapid cation screening and biomedical diagnostics.

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