Hydrothermal Growth of Zinc Oxide (ZnO) Nanorods (NRs), Structural, and Chemical Composition Studies for pH Measurement Sensor Applications

Kumar, S. K. Naveen; Kumar, Ajay; Aniley, Almaw Ayele; Bhansali, Shekhar; Fernandez, Renny Edwin

doi:10.1149/08801.0437ecst

Cited by 10 publications

(3 citation statements)

References 43 publications

(49 reference statements)

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“…During this process, the solution was heated at 93°C for duration of 5 hours in a muffle furnace. 26 After the growth process, the samples were neatly cleaned in deionized water and dried in room temperature. The EDS analysis shows the presence of Zn and O elements in the ZnO seed particles (Fig.…”

Section: Experimental and Methodsmentioning

confidence: 99%

Hydrothermal Growth of Zinc Oxide (ZnO) Nanorods (NRs) on Screen Printed IDEs for pH Measurement Application

Kumar

Aniley

et al. 2019

J. Electrochem. Soc.

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There is considerable interest in nanostructured materials with interdigitated electrodes (IDEs) platforms to detect and monitor the level of various ions in numerous applications. Herein, we report the design and fabrication of IDEs based pH sensor by using hydrothermal growth of ZnO nanorods (NRs). A four-step deposition of ZnO seed layer followed by a hydrothermal treatment lead to the heavily ordered ZnO NRs patterns on the screen printed IDEs. The structural, chemical compositional and electrical properties of the NRs were investigated and examined by using field emission scanning electron microscopy (FeSEM), atomic force microscopy (AFM), energy dispersive spectroscopy (EDS), X-ray diffraction (XRD) technique and Keithley 4200 semiconductor characterization system respectively. The sensor capacitance and pH were found to be inversely proportional at a working frequency of 1 kHz. The sensor displayed sensitivity of 1.06 nF/pH in the range of pH 4−10.

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Section: Experimental and Methodsmentioning

confidence: 99%

Hydrothermal Growth of Zinc Oxide (ZnO) Nanorods (NRs) on Screen Printed IDEs for pH Measurement Application

Kumar

Aniley

et al. 2019

J. Electrochem. Soc.

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“…Sifat lain yang dimiliki oleh ZnO adalah biokompatibilitas, tingkat toksisitas yang rendah, mobilitas elektron yang tinggi, mudah untuk difabrikasi dan memiliki stabilitas kimia yang baik. Selain itu, nanorods ZnO memiliki daerah elektroaktif yang jauh lebih besar dibandingkan dengan ukuran bulknya disebabkan karena rasio permukaan terhadap volum yang tinggi pada skala nano, sehingga material ini menjanjikan untuk diterapkan di bidang biomedikal seperti biosensor dan elektrokimia sensor [4]- [7].…”

Section: Pendahuluanunclassified

Pengaruh Perlakuan Hidrotermal Terhadap Morfologi, Sifat Optik Dan Sifat Listrik Lapisan Tipis Nanorods Zno

Suhaimi¹

2020

metal.

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Zinc oxide nanorods (ZnO NRs) is a semiconductor material that has been widely applied in various fields. In this research, ZnO NRs were successfully grown on ITO substrates by chemichal bath deposition (CBD) method. The process begins with making a seed solution using an ecimolar mixture of Zn-Nitrate and hexamethylentetramine (HMTA) at 00C for one hour with 0.015 M concentration. Furthermore, making a layer of seeds using spin coating technique. ZnO NRs were grown using the CBD method at 900C for three hours then treated with variations which are hydrothermal method treatment and non-hydrothermal method treatment at 1500C for three hours. Samples were given characterization treatment using SEM, XRD, UV-Vis and four-point probe. SEM results showed that hydrothermal treatment was able to increase the coverage of nanorods on the substrate to be more prevelently and was able to increase the vertical structure of the nanorods. The results of XRD analysis showed that samples given hydrothermal treatment experienced an increase in the crystallite size. The amount of crystallite size in the sample treated with variation of non-hydrothermal treatment and hydrothermal treatment was 71, 198 and 165.696 nm. Hydrothermal treatment of nanorods samples decreased the sample diameter from 288,252 nm to 125,824 nm. The transmittance value of the samples decreased in the presence of hydrothermal treatment which is 56.53% to 38.67%. The hydrothermal treatment was able to reduce the energy bandgap (Eg) of the sample, while the sample of non-hydrothermal treatment showed value of the Eg was 3.22 eV. Meanwhile, the value of Eg after hydrothermal treatment was 3.17 eV. The resistivity value of ZnO NRs with hydrothermal treatment was 0.833 x 10-4 Ωcm, while the resistivity value of non-hydrothermal treatment was 1.126 x 10-4 Ωcm. Key words: zinc-oxide nanorods, chemical bath deposition, hydro-thermal

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“…Metal electrodes coated with metal oxide ion selective active layers have been used for electrochemical sensing of Ammonium (NH 4 + ) 12 – 14 . The enhanced sensitivity of the ZnO is attributed to its surface to volume ratio, electrical conductivity, fast response, wide band-gap (3.37 eV) 15 , large exciton binding energy (60 meV) 16 , and piezoelectricity 17 . Metal oxide functionalization modulates the physicochemical properties of MWCNT thus increasing their ease of dispersion, manipulation, and process ability.…”

Section: Introductionmentioning

confidence: 99%

Machine learning-assisted ammonium detection using zinc oxide/multi-walled carbon nanotube composite based impedance sensors

Aliyana

Kumar

Marimuthu³

et al. 2021

Sci Rep

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We report a machine learning approach to accurately correlate the impedance variations in zinc oxide/multi walled carbon nanotube nanocomposite (F-MWCNT/ZnO-NFs) to NH4+ ions concentrations. Impedance response of F-MWCNT/ZnO-NFs nanocomposites with varying ZnO:MWCNT compositions were evaluated for its sensitivity and selectivity to NH4+ ions in the presence of structurally similar analytes. A decision-making model was built, trained and tested using important features of the impedance response of F-MWCNT/ZnO-NF to varying NH4+ concentrations. Different algorithms such as kNN, random forest, neural network, Naïve Bayes and logistic regression are compared and discussed. ML analysis have led to identify the most prominent features of an impedance spectrum that can be used as the ML predictors to estimate the real concentration of NH4+ ion levels. The proposed NH4+ sensor along with the decision-making model can identify and operate at specific operating frequencies to continuously collect the most relevant information from a system.

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Hydrothermal Growth of Zinc Oxide (ZnO) Nanorods (NRs), Structural, and Chemical Composition Studies for pH Measurement Sensor Applications

Cited by 10 publications

References 43 publications

Hydrothermal Growth of Zinc Oxide (ZnO) Nanorods (NRs) on Screen Printed IDEs for pH Measurement Application

Hydrothermal Growth of Zinc Oxide (ZnO) Nanorods (NRs) on Screen Printed IDEs for pH Measurement Application

Pengaruh Perlakuan Hidrotermal Terhadap Morfologi, Sifat Optik Dan Sifat Listrik Lapisan Tipis Nanorods Zno

Machine learning-assisted ammonium detection using zinc oxide/multi-walled carbon nanotube composite based impedance sensors

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