Version 1
: Received: 7 December 2018 / Approved: 11 December 2018 / Online: 11 December 2018 (10:25:51 CET)
Version 2
: Received: 14 December 2018 / Approved: 17 December 2018 / Online: 17 December 2018 (05:03:15 CET)
Kim, E.-B.; Seo, H.-K. Highly Sensitive Formaldehyde Detection Using Well-Aligned Zinc Oxide Nanosheets Synthesized by Chemical Bath Deposition Technique. Materials2019, 12, 250.
Kim, E.-B.; Seo, H.-K. Highly Sensitive Formaldehyde Detection Using Well-Aligned Zinc Oxide Nanosheets Synthesized by Chemical Bath Deposition Technique. Materials 2019, 12, 250.
Kim, E.-B.; Seo, H.-K. Highly Sensitive Formaldehyde Detection Using Well-Aligned Zinc Oxide Nanosheets Synthesized by Chemical Bath Deposition Technique. Materials2019, 12, 250.
Kim, E.-B.; Seo, H.-K. Highly Sensitive Formaldehyde Detection Using Well-Aligned Zinc Oxide Nanosheets Synthesized by Chemical Bath Deposition Technique. Materials 2019, 12, 250.
Abstract
Detection of formaldehyde is very important in terms of life protection, as it can cause serious injury to eyes, skin, mouth and gastrointestinal function if indirectly inhaled and hence researchers are putting effort in developing novel and sensitive device. In this work, we have fabricated an electro-chemical sensor in the form of a field effect transistor (FET) to detect formaldehyde over wide range (10 nM to 1 mM). For this, ZnO nanosheets (NS) were first synthesized by hydrothermal method with in-situ deposition on cleaned SiO2 coated Si (100) substrate. The synthesized materials were characterized for morphology and purity and surface area (31.718 m2/g). The developed device was tested for formaldehyde detection at room temperature that resulted in a linear response with concentration (96%), sensitivity value of 0.27 mA/M/cm2 and a low detection limit of 210 nM, and a high 0.93194 return.
Keywords
ZnO; nanosheet; formaldehyde; chemical sensor; FET
Subject
Chemistry and Materials Science, Materials Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.