Influence of Fluorine and Nitrogen Co-Doping on the Structural and Morphological Properties of Sol-Gel ZnO Films

Ivanova, T.; Harizanova, A.; Koutzarova, T.; Vertruyen, Bénédicte; Closset, Raphael

doi:10.3390/coatings12121874

Cited by 1 publication

(2 citation statements)

References 61 publications

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“…The lattice parameters are found to be a = b = 0.32 nm and c = 0.52 nm, having the c / a ratio of 1.6, signifying the formation of a hexagonal crystal lattice. The FTIR spectrum (Figure B) reveals a few significant peaks in the wavenumber range of 499 to 1000 cm –1 , among which the prominent peaks around ∼546, 698, 786, 878, and 996 cm –1 confirm the Zn–O bond stretching and tetrahedral coordination of Zn . Considering the sensitivity of the biosensor device, the morphological aspects play a vital role, which is closely related to the effectiveness of the biofunctionalization process and transduction responsiveness.…”

Section: Resultsmentioning

confidence: 99%

“…The FTIR spectrum (Figure 2B) reveals a few significant peaks in the wavenumber range of 499 to 1000 cm −1 , among which the prominent peaks around ∼546, 698, 786, 878, and 996 cm −1 confirm the Zn−O bond stretching and tetrahedral coordination of Zn. 46 Considering the sensitivity of the biosensor device, the morphological aspects play a vital role, which is closely related to the effectiveness of the biofunctionalization process and transduction responsiveness. Particularly, 3D morphologies have the advantages of enhanced geometric volume along with surface area enhancement due to nanoscale tunability.…”

Section: Characterization Of Zno Nanoflowers (Zno-nf)mentioning

confidence: 99%

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ZnO Nanoflower-Based Electrochemical SARS-CoV-2 Molecular Biosensors with Improved Diagnostic Accuracy

Pandey,

Goswami,

Singh

2024

ACS Appl. Nano Mater.

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Despite the promising performance of nanomaterial-based electrochemical detection techniques, product-level pointof-care sensor systems are still evolving. Unique approaches toward nanoscale tunability, enriched measurements, and data analysis are therefore imperative. The recent outbreak of coronavirus disease provides a suitable test bench toward this pursuit, attracting several innovative efforts from the sensor research community. Accordingly, this work reports an ultrasensitive and selective molecular biosensor for RT-PCR-confirmed hospital samples of SARS-CoV-2 built on ZnO nanoflowers. The unique experimental and analytical methodologies drastically improve the device efficiency, relying on three conserved genomic sequences (E, N, and ORF1ab genes). It involves multiple techniques like cyclic voltammetry, electrochemical impedance spectroscopy, and differential pulse voltammetry where normalized responses of these techniques are used to create 1D, 2D, and 3D data points representing each sample for clustering both by heuristic (2D separation plane) and ML approach (logistic regression) for accurate diagnosis. Enhancing data features also enlarges the Euclidean distances (ED) of data points, which raises the separation efficiency of the device to 93.75%. As the 3D space also allows the data (with nearly identical EDs) to have different spatial orientations for efficient clustering, samples were dichotomized into positive and negative with 100% efficiency, sensitivity, and specificity. Furthermore, owing to the ultrasensitive nanostructured transducer, the viral load was successfully quantified in the spiked control samples with a commendable detection sensitivity and limits of detection as low as 14.137 fM (E-gene). The device's fast response time (<45 min) justifies its potential on-field applicability.

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Section: Resultsmentioning

confidence: 99%

Section: Characterization Of Zno Nanoflowers (Zno-nf)mentioning

confidence: 99%