Ag Nanoparticles Decorated ZnO Nanorods as Multifunctional SERS Substrates for Ultrasensitive Detection and Catalytic Degradation of Rhodamine B

Chen, Xingang; Zhu, Lei; Ma, Zhipeng; Wang, Meilin; Zhao, Rui; Zou, Yueyue; Fan, Yijie

doi:10.3390/nano12142394

Cited by 30 publications

(13 citation statements)

References 54 publications

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“…As can be seen from the EDS spectra ( Figure 1 g), apart from the peaks of silver, zinc, and oxygen elements, and the absence of other obvious spurious peaks, the peak of assigned copper is generated by the copper network. There is a clear diffraction ring in its SAED diagram ( Figure 1 h), which indicates that ZnO NPs@Ag NWs have a polycrystalline structure, further confirmed by the (101) and (103) crystal faces of ZnO and the (200) and (311) crystal faces of Ag [ 67 ].…”

Section: Resultsmentioning

confidence: 90%

Quantitative Analysis of Acetone in Transformer Oil Based on ZnO NPs@Ag NWs SERS Substrates Combined with a Stoichiometric Model

Zhang

Lei

Song

et al. 2022

IJMS

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Acetone is an essential indicator for determining the aging of transformer insulation. Rapid, sensitive, and accurate quantification of acetone in transformer oil is highly significant in assessing the aging of oil-paper insulation systems. In this study, silver nanowires modified with small zinc oxide nanoparticles (ZnO NPs@Ag NWs) were excellent surface-enhanced Raman scattering (SERS) substrates and efficiently and sensitively detected acetone in transformer oil. Stoichiometric models such as multiple linear regression (MLR) models and partial least square regressions (PLS) were investigated to quantify acetone in transformer oil and compared with commonly used univariate linear regressions (ULR). PLS combined with a preprocessing algorithm provided the best prediction model, with a correlation coefficient of 0.998251 for the calibration set, 0.997678 for the predictive set, a root mean square error in the calibration set (RMSECV = 0.12596 mg/g), and a prediction set (RMSEP = 0.11408 mg/g). For an acetone solution of 0.003 mg/g, the mean absolute percentage error (MAPE) was the lowest among the three quantitative models. For a concentration of 7.29 mg/g, the MAPE was 1.60%. This method achieved limits of quantification and detections of 0.003 mg/g and 1 μg/g, respectively. In general, these results suggested that ZnO NPs@Ag NWs as SERS substrates coupled with PLS simply and accurately quantified trace acetone concentrations in transformer oil.

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Section: Resultsmentioning

confidence: 90%

Quantitative Analysis of Acetone in Transformer Oil Based on ZnO NPs@Ag NWs SERS Substrates Combined with a Stoichiometric Model

Zhang

Lei

Song

et al. 2022

IJMS

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“…Upon adsorption onto the SERS surface, the Raman signal of the analyte is enhanced, and the resultant signal intensity is comparable to that obtained by fluorescence. To detect the cyanide anion, many researchers have coated the surface of the SERS substrate with the plasmonic MNPs and applied them as a SERS probe [ 143 , 144 , 145 , 146 ]. D. Senapati et al [ 147 ] reported an AuNP-based SERS nanosensor for cyanide ion detection at the level of parts per trillion and for studying cyanide anion–AuNPs interaction.…”

Section: Noble Metal Nanomaterials-based Sers Sensors For Cyanide Ionsmentioning

confidence: 99%

Optical Sensing of Toxic Cyanide Anions Using Noble Metal Nanomaterials

et al. 2023

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Water toxicity, one of the major concerns for ecosystems and the health of humanity, is usually attributed to inorganic anions-induced contamination. Particularly, cyanide ions are considered one of the most harmful elements required to be monitored in water. The need for cyanide sensing and monitoring has tempted the development of sensing technologies without highly sophisticated instruments or highly skilled operations for the objective of in-situ monitoring. Recent decades have witnessed the growth of noble metal nanomaterials-based sensors for detecting cyanide ions quantitatively as nanoscience and nanotechnologies advance to allow nanoscale-inherent physicochemical properties to be exploited for sensing performance. Particularly, noble metal nanostructure e-based optical sensors have permitted cyanide ions of nanomolar levels, or even lower, to be detectable. This capability lends itself to analytical application in the quantitative detection of harmful elements in environmental water samples. This review covers the noble metal nanomaterials-based sensors for cyanide ions detection developed in a variety of approaches, such as those based on colorimetry, fluorescence, Rayleigh scattering (RS), and surface-enhanced Raman scattering (SERS). Additionally, major challenges associated with these nano-platforms are also addressed, while future perspectives are given with directions towards resolving these issues.

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“…[57] Therefore, in this study, Au plays a significant role in the inhibition of the electron-hole recombination process and subsequently increases the photocatalytic efficiency degradation. [58]…”

Section: Mechanism Of Degradationmentioning

confidence: 99%

Control Synthesis of Metallic Gold Decorated ZnO Nanoparticles for Photocatalytic Degradation of Rhodamine B, Methylene Blue and Eriochrome Black T Dyes

Soli,

Jraba,

Elaloui

2023

ChemistrySelect

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Pure ZnO and metallic gold (Au) decorated ZnO (Au‐ZnO) nanoparticles were prepared by a modified sol‐gel method employing (CTAB, C19H42BrN) as a cationic surfactant. XRD analysis shows the wurtzite hexagonal structure of pure ZnO and confirms the modification in the structure with the decoration of Au metal in ZnO. TEM characterization illustrates the dispersion of metallic gold on the hexagonal surface of ZnO which confirms the result obtained by XRD. The ZnO and Au‐ZnO nanoparticles had negative charge surface values (−16.7 eV) and (−36.6 eV) which enhance an excellent degradation for cationic dyes. Optical studies show that gap energy decreases from 3.19 eV to 3.11 eV upon the decoration of Au on ZnO surface. The decrease in photoluminescence intensity reflects the positive effects of the role of metallic Au on the photodegradation capacity of Au‐ZnO. Photocatalytic results show that Au‐ZnO exhibits a higher efficiencies degradation of 93 % (k=0.016 min−1) in the case of Rhodamine B and 73 % (k=0.001 min−1) of Methylene blue compared to pure ZnO. In the case of Eriochrome Black T, Au‐ZnO presents low degradation efficiency.

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Ag Nanoparticles Decorated ZnO Nanorods as Multifunctional SERS Substrates for Ultrasensitive Detection and Catalytic Degradation of Rhodamine B

Cited by 30 publications

References 54 publications

Quantitative Analysis of Acetone in Transformer Oil Based on ZnO NPs@Ag NWs SERS Substrates Combined with a Stoichiometric Model

Quantitative Analysis of Acetone in Transformer Oil Based on ZnO NPs@Ag NWs SERS Substrates Combined with a Stoichiometric Model

Optical Sensing of Toxic Cyanide Anions Using Noble Metal Nanomaterials

Control Synthesis of Metallic Gold Decorated ZnO Nanoparticles for Photocatalytic Degradation of Rhodamine B, Methylene Blue and Eriochrome Black T Dyes

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