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Femtomolar detection of dopamine using surface plasmon resonance sensor based on chitosan/graphene quantum dots thin film

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TLDR
In this article, a simple and ultra-sensitive surface plasmon resonance (SPR) sensor was constructed for DA detection by preparation of chitosan- graphene quantum dots (CS-GQDs) thin film as the sensing layer.
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This article is published in Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy.The article was published on 2021-12-15. It has received 26 citations till now. The article focuses on the topics: Surface plasmon resonance.

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Journal ArticleDOI

Chitosan: A Sustainable Material for Multifarious Applications

TL;DR: The use of chitosan in a wide variety of everyday applications has been discussed in this article , where a brief review of the various applications and their effect on the outputs is presented.
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A Fukui Analysis of an Arginine-Modified Carbon Surface for the Electrochemical Sensing of Dopamine

TL;DR: In this paper , the arginine-modified carbon interface was modeled and utilized frontier molecular orbitals and analytical Fukui functions based on the first principle study computations to analyze the AMCPE at a molecular level.
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Design and Optimization of Surface Plasmon Resonance Spectroscopy for Optical Constant Characterization and Potential Sensing Application: Theoretical and Experimental Approaches

TL;DR: In this article, the best surface plasmon resonance (SPR) signal can be generated based on several factors that include the excitation wavelength, the type of metal used, and the thickness of the metal layer.
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Evaluation of Structural and Optical Properties of Graphene Oxide-Polyvinyl Alcohol Thin Film and Its Potential for Pesticide Detection Using an Optical Method

TL;DR: In this article , a spin-coated graphene oxide-polyvinyl alcohol (PVA) composites thin film has been successfully synthesized and prepared by spin coating techniques, and the properties and morphology of the samples were characterized using Fourier transform infrared spectroscopy (FTIR), ultraviolet-visible spectrography (UV-Vis), and atomic force microscopy (AFM).
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Recent Developments in Plasmonic Sensors of Phenol and Its Derivatives

TL;DR: In this article, a mini-review of the latest developments and trends of plasmonic resonance nanomaterials, which are assisted by various optical sensors, including colorimetric, fluorescence, localized surface Plasmon resonance (LSPR), and plasmor-enhanced Raman spectroscopy, is presented.
References
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Journal ArticleDOI

Theory of surface plasmons and surface-plasmon polaritons

TL;DR: In this article, a theoretical description of the many-body dynamical electronic response of solids is presented, which underlines the existence of various collective electronic excitations at metal surfaces.
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Application of graphene-modified electrode for selective detection of dopamine

TL;DR: Graphene was synthesized chemically by Hummers and Offeman method and the graphene-modified electrode was applied in selective determination of dopamine with a linear range from 5μM to 200μM in a large excess of ascorbic acid as discussed by the authors.
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Surface plasmon resonance sensors based on diffraction gratings and prism couplers: sensitivity comparison

TL;DR: Theoretical analysis and comparison of the sensitivity of surface plasmon resonance (SPR) sensors using diffraction at gratings and attenuated total reflection (ATR) in prism couplers for two detection methods-resonant angle interrogation and resonant wavelength interrogation is presented in this article.
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Gene2vec: gene subsequence embedding for prediction of mammalian N6-methyladenosine sites from mRNA.

TL;DR: This work developed a model inferred from a larger sequence shifting window that can predict m6A accurately and robustly and evaluated these predictors mentioned above on a rigorous independent test data set and proved that the proposed method outperforms the state-of-the-art predictors.
Journal ArticleDOI

On the binding affinity of macromolecular interactions: daring to ask why proteins interact

TL;DR: It is predicted that any theoretical modelling of these interactions will have to follow an integrative approach considering the biology, chemistry and physics that underlie protein–protein recognition.
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