Research Article

Principal Component Analysis-Assisted Detection of Toxic Chemicals Using Atomic Layer Deposition-Grown Zinc Oxide Thin Films

Volume: 13 Number: 1 March 31, 2026
EN TR

Principal Component Analysis-Assisted Detection of Toxic Chemicals Using Atomic Layer Deposition-Grown Zinc Oxide Thin Films

Abstract

In this study, a highly sensitive and selective gas sensor was developed for detecting hazardous analytes, including ethanol, acetone, hydrogen sulfide (H2S), and hydrogen cyanide (HCN). ZnO thin films were deposited as the sensing layer using atomic layer deposition (ALD), while Au interdigitated electrodes with 5 µm width and spacing were fabricated on SiO2/Si substrates via photolithography. The fabricated sensor exhibited a sensitive response to the target gases even at part-per-billion (ppb). However, it was observed that as the operating temperature decreases, the sensor signal's noise level increases. Additionally, the recovery time for the sensor to return to its baseline value after gas exposure was significantly affected by the operating temperature. The detection limits for ethanol, acetone, H2S, and HCN were 14.6, 35, 115, and 115 ppb, respectively, confirming the sensor's ability to detect all analytes at concentrations well below their threshold limit values. Principal Component Analysis (PCA) revealed well-separated clusters for each analyte, particularly for ethanol and acetone, suggesting that the sensor can effectively discriminate between these two gases. These results demonstrate the sensor’s excellent sensitivity and selectivity supporting its potential for real-time monitoring of toxic gases in environmental and industrial applications.

Keywords

References

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Details

Primary Language

English

Subjects

Electronic, Optics and Magnetic Materials, Elemental Semiconductors

Journal Section

Research Article

Publication Date

March 31, 2026

Submission Date

October 3, 2025

Acceptance Date

February 16, 2026

Published in Issue

Year 2026 Volume: 13 Number: 1

APA
Alev, O. (2026). Principal Component Analysis-Assisted Detection of Toxic Chemicals Using Atomic Layer Deposition-Grown Zinc Oxide Thin Films. Hittite Journal of Science and Engineering, 13(1), 43-51. https://doi.org/10.17350/HJSE19030000371
AMA
1.Alev O. Principal Component Analysis-Assisted Detection of Toxic Chemicals Using Atomic Layer Deposition-Grown Zinc Oxide Thin Films. Hittite J Sci Eng. 2026;13(1):43-51. doi:10.17350/HJSE19030000371
Chicago
Alev, Onur. 2026. “Principal Component Analysis-Assisted Detection of Toxic Chemicals Using Atomic Layer Deposition-Grown Zinc Oxide Thin Films”. Hittite Journal of Science and Engineering 13 (1): 43-51. https://doi.org/10.17350/HJSE19030000371.
EndNote
Alev O (March 1, 2026) Principal Component Analysis-Assisted Detection of Toxic Chemicals Using Atomic Layer Deposition-Grown Zinc Oxide Thin Films. Hittite Journal of Science and Engineering 13 1 43–51.
IEEE
[1]O. Alev, “Principal Component Analysis-Assisted Detection of Toxic Chemicals Using Atomic Layer Deposition-Grown Zinc Oxide Thin Films”, Hittite J Sci Eng, vol. 13, no. 1, pp. 43–51, Mar. 2026, doi: 10.17350/HJSE19030000371.
ISNAD
Alev, Onur. “Principal Component Analysis-Assisted Detection of Toxic Chemicals Using Atomic Layer Deposition-Grown Zinc Oxide Thin Films”. Hittite Journal of Science and Engineering 13/1 (March 1, 2026): 43-51. https://doi.org/10.17350/HJSE19030000371.
JAMA
1.Alev O. Principal Component Analysis-Assisted Detection of Toxic Chemicals Using Atomic Layer Deposition-Grown Zinc Oxide Thin Films. Hittite J Sci Eng. 2026;13:43–51.
MLA
Alev, Onur. “Principal Component Analysis-Assisted Detection of Toxic Chemicals Using Atomic Layer Deposition-Grown Zinc Oxide Thin Films”. Hittite Journal of Science and Engineering, vol. 13, no. 1, Mar. 2026, pp. 43-51, doi:10.17350/HJSE19030000371.
Vancouver
1.Onur Alev. Principal Component Analysis-Assisted Detection of Toxic Chemicals Using Atomic Layer Deposition-Grown Zinc Oxide Thin Films. Hittite J Sci Eng. 2026 Mar. 1;13(1):43-51. doi:10.17350/HJSE19030000371

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