Investigating the Flexibility of ZnO Nanorod Growth Parameters for Humidity Sensor Design

A study on the effect of ZnO nanorod growth conditions on humidity sensing is presented. Glass substrates were coated with triangular ZnO nanorods using a hydrothermal method, with growth durations of 5, 10, and 15 hours, and coating lengths in triangular shape varying from 1 mm to 13 mm. A commercial LED and photodiode were utilized in the measurement setup, functioning as the light source and photodetector, respectively, and interfaced with an Arduino for data processing. Humidity experiments were conducted in a controlled chamber using different combinations of these growth parameters. The results indicated that a combination of 10 hours growth time and 7 mm coating length produced a sensing response comparable to that of a 15-hour growth time and 4 mm coating length at 80% relative humidity. This demonstrates that optimal sensor performance can be achieved through various fabrication settings, suggesting that flexibility in process parameters allows for more efficient and cost-effective sensor design without sacrificing the sensor performance. By offering multiple viable fabrication paths, the process becomes more scalable and versatile, allowing for the design of sensor devices that maintain high sensitivity while optimizing manufacturing efficiency. This is crucial for improving the practicality of ZnO-based humidity sensors in commercial applications.

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Publication Details

Journal
International Journal of Academic Research in Business and Social Sciences
Published
2025-02-10
DOI
https://doi.org/10.6007/ijarbss/v15-i2/24753
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
0.00

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article

Investigating the Flexibility of ZnO Nanorod Growth Parameters for Humidity Sensor Design

A. M. Darsono, Hazli Rafis Abdul Rahim, Haziezol Helmi Mohd Yusof, Kaharudin Dimyati et al.
International Journal of Academic Research in Business and Social Sciences
Gas Sensing Nanomaterials and Sensors
article

Investigating the Flexibility of ZnO Nanorod Growth Parameters for Humidity Sensor Design

A. M. Darsono, Hazli Rafis Abdul Rahim, Haziezol Helmi Mohd Yusof, Kaharudin Dimyati, Sulaiman Wadi Harun
article en

Abstract

A study on the effect of ZnO nanorod growth conditions on humidity sensing is presented. Glass substrates were coated with triangular ZnO nanorods using a hydrothermal method, with growth durations of 5, 10, and 15 hours, and coating lengths in triangular shape varying from 1 mm to 13 mm. A commercial LED and photodiode were utilized in the measurement setup, functioning as the light source and photodetector, respectively, and interfaced with an Arduino for data processing. Humidity experiments were conducted in a controlled chamber using different combinations of these growth parameters. The results indicated that a combination of 10 hours growth time and 7 mm coating length produced a sensing response comparable to that of a 15-hour growth time and 4 mm coating length at 80% relative humidity. This demonstrates that optimal sensor performance can be achieved through various fabrication settings, suggesting that flexibility in process parameters allows for more efficient and cost-effective sensor design without sacrificing the sensor performance. By offering multiple viable fabrication paths, the process becomes more scalable and versatile, allowing for the design of sensor devices that maintain high sensitivity while optimizing manufacturing efficiency. This is crucial for improving the practicality of ZnO-based humidity sensors in commercial applications.

International Journal of Academic Research in Business and Social SciencesVol. 15(2)
Universiti Malaya, Universiti Teknikal Malaysia Melaka
Openalex Percentile: Top 98%
Gas Sensing Nanomaterials and Sensors
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Investigating the Flexibility of ZnO Nanorod Growth Parameters for Humidity Sensor Design — A. M. Darsono, Hazli Rafis Abdul Rahim, et al. · International Journal of Academic Research in Business and Social Sciences (2025) | TGRS Research Map | TGRS