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Highly Sensitive Room-Temperature Detection of Ammonia in the Breath of Kidney Disease Patients Using Fe 2 Mo 3 O 8 /MoO 2 @MoS 2 Nanocomposite Gas Sensor
A novel Fe Mo O /MoO @MoS nanocomposite is synthesized for extremely sensitive detection of NH in the breath of kidney disease patients at room temperature. Compared to MoS , α-Fe O /MoS , and MoO @MoS , it shows the optimal gas-sensing performance by optimizing the formation of Fe Mo O at 900 °C. T...
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Published in: | Advanced science 2024-08, Vol.11 (32), p.e2405942 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | A novel Fe
Mo
O
/MoO
@MoS
nanocomposite is synthesized for extremely sensitive detection of NH
in the breath of kidney disease patients at room temperature. Compared to MoS
, α-Fe
O
/MoS
, and MoO
@MoS
, it shows the optimal gas-sensing performance by optimizing the formation of Fe
Mo
O
at 900 °C. The annealed Fe
Mo
O
/MoO
@MoS
nanocomposite (Fe
Mo
O
/MoO
@MoS
-900 °C) sensor demonstrates a remarkably high selectivity of NH
with a response of 875% to 30 ppm NH
and an ultralow detection limit of 3.7 ppb. This sensor demonstrates excellent linearity, repeatability, and long-term stability. Furthermore, it effectively differentiates between patients at varying stages of kidney disease through quantitative NH
measurements. The sensing mechanism is elucidated through the analysis of alterations in X-ray photoelectron spectroscopy (XPS) signals, which is supported by density functional theory (DFT) calculations illustrating the NH
adsorption and oxidation pathways and their effects on charge transfer, resulting in the conductivity change as the sensing signal. The excellent performance is mainly attributed to the heterojunction among MoS
, MoO
, and Fe
Mo
O
and the exceptional adsorption and catalytic activity of Fe
Mo
O
/MoO
@MoS
-900 °C for NH
. This research presents a promising new material optimized for detecting NH
in exhaled breath and a new strategy for the early diagnosis and management of kidney disease. |
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ISSN: | 2198-3844 2198-3844 |
DOI: | 10.1002/advs.202405942 |