1
Return

Highly Sensitive and Stable CeLaCuO/Ni-BTC MOF-Based Humidity Sensor for Plant Monitoring

delete2025-12-06
delete0
delete
OA
AI
J
Jolina Rodrigues
K
K. Santhakumar
H
Hamid Nawaz
S
Swati Singh
S
Smruti Medha Mishra
D
Dalaver H. Anjum
K
Kyriaki Polychronopoulou *
N
Nouha Alcheikh *
DOI:10.1021/acsami.5c16966delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Herein, we report a high-performance humidity sensor based on oxygen-vacancy-rich CeLaCuO integrated with a porous Ni-BTC metal–organic framework (MOF). Compared with the single CeLaCuO and Ni-BTC sensors, the CeLaCuO/Ni-BTC composite sensor exhibits a higher response value (24% @ 32% relative humidity (RH)), lower hysteresis (0.465%RH), faster response/recovery time (24.5/47.8 s), and enhanced long-term stability (<2.6% over 60 days). Moreover, it achieves a high sensitivity of S ≈ 1.35/%RH with excellent linearity (R2 = 0.9868) across 11–63% RH and demonstrates a very low temperature cross-sensitivity between 25 and 100 °C (<0.35%). These improved performance properties are attributed to abundant oxygen vacancies (Ov) in the CeLaCuO structure that provide active sites for water adsorption and H+/H3O+ species generation for fast ionic conduction. The high-surface-area Ni-BTC framework enhances water uptake and facilitates efficient charge transfer at the oxide–MOF interface. The lab-fabricated composite sensor also demonstrates real-world applicability in a microclimate chamber for monitoring the microclimate surrounding the Fragaria ananassa (strawberry) plant, where lower humidity (<60%) can cause plant stress and reduce yield. The proposed sensor placed on the plant shows a good response for various humidity levels at 43%, 51%, and 63% RHs, respectively. Moreover, the results show that, at 63% RH, plants exhibited optimal transpiration, allowing efficient water and nutrient uptake, resulting in healthy leaf morphology with minimal stress. Thus, the proposed sensors hold strong potential as next-generation real-time humidity sensors with practical applications in agriculture, smart greenhouses, environmental monitoring, and indoor climate control.
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

ACS Applied Materials and Interfaces cover
ACS Applied Materials and Interfaces
IF:
8.2
Papers:
6.1W
Citations:
38.7W

Organization

K
Khalifa University of Science and Technology
Scholars:
1.2K
Papers: 555
Citations: 4
Cited Papers

Cited Papers

Citing Papers

Citing Papers