High-performance hydrogen sulfide gas sensor based on ZnFe2O4/MoO2 in chip DOI
Ran Jia,

Liang Guo,

Wei Yang

et al.

Sensors and Actuators A Physical, Journal Year: 2024, Volume and Issue: unknown, P. 116120 - 116120

Published: Dec. 1, 2024

Language: Английский

Highly Sensitive Room‐Temperature Detection of Ammonia in the Breath of Kidney Disease Patients Using Fe2Mo3O8/MoO2@MoS2 Nanocomposite Gas Sensor DOI Creative Commons
Xian Li,

Wang Zeng,

Shangjun Zhuo

et al.

Advanced Science, Journal Year: 2024, Volume and Issue: 11(32)

Published: July 3, 2024

Abstract A novel Fe 2 Mo 3 O 8 /MoO @MoS nanocomposite is synthesized for extremely sensitive detection of NH in the breath kidney disease patients at room temperature. Compared to MoS , α‐Fe /MoS and MoO it shows optimal gas‐sensing performance by optimizing formation 900 °C. The annealed (Fe ‐900 °C) sensor demonstrates a remarkably high selectivity with response 875% 30 ppm an ultralow limit 3.7 ppb. This excellent linearity, repeatability, long‐term stability. Furthermore, effectively differentiates between varying stages through quantitative measurements. sensing mechanism elucidated analysis alterations X‐ray photoelectron spectroscopy (XPS) signals, which supported density functional theory (DFT) calculations illustrating adsorption oxidation pathways their effects on charge transfer, resulting conductivity change as signal. mainly attributed heterojunction among exceptional catalytic activity °C . research presents promising new material optimized detecting exhaled strategy early diagnosis management disease.

Language: Английский

Citations

9

Sulfonated reduced graphene oxide-doped polypyrrole film prepared by in situ electropolymerization and coating in fabrication of ammonia gas sensor for exhaled breath analysis of patients with kidney failure DOI

Fatemeh Ferdosi,

Mahsa Amiri,

Naader Alizadeh

et al.

Microchimica Acta, Journal Year: 2025, Volume and Issue: 192(4)

Published: March 11, 2025

Language: Английский

Citations

0

Nanomaterial Innovations and Machine Learning in Gas Sensing Technologies for Real-Time Health Diagnostics DOI

Md. Harun-Or-Rashid,

Sahar Mirzaei, Noushin Nasiri

et al.

ACS Sensors, Journal Year: 2025, Volume and Issue: unknown

Published: March 10, 2025

Breath sensors represent a frontier in noninvasive diagnostics, leveraging the detection of volatile organic compounds (VOCs) exhaled breath for real-time health monitoring. This review highlights recent advancements breath-sensing technologies, with focus on innovative materials driving their enhanced sensitivity and selectivity. Polymers, carbon-based like graphene carbon nanotubes, metal oxides such as ZnO SnO2 have demonstrated significant potential detecting biomarkers related to diseases including diabetes, liver/kidney dysfunction, asthma, gut health. The structural operational principles these are examined, revealing how unique properties contribute key respiratory gases acetone, ammonia (NH3), hydrogen sulfide, nitric oxide. complexity samples is addressed through integration machine learning (ML) algorithms, convolutional neural networks (CNNs) support vector machines (SVMs), which optimize data interpretation diagnostic accuracy. In addition sensing VOCs, devices capable monitoring parameters airflow, temperature, humidity, essential comprehensive analysis. also explores expanding role artificial intelligence (AI) transforming wearable into sophisticated tools personalized enabling disease Together, advances sensor ML-based analytics present promising platform future individualized, healthcare.

Language: Английский

Citations

0

Editorial for the Applications and Challenges for Gas Sensors DOI Creative Commons

Zhaohui Lei,

Yinglin Wang, Pengfei Cheng

et al.

Micromachines, Journal Year: 2025, Volume and Issue: 16(5), P. 493 - 493

Published: April 23, 2025

Gas sensors, widely used in various fields, are devices to detect the presence of a specific gas within certain area or continuously measure concentration components [...]

Language: Английский

Citations

0

Wearable, Breathable, and Wireless Gas Sensor Enables Highly Selective Exhaled Ammonia Detection and Real-Time Noninvasive Illness Diagnosis DOI
Haipeng Dong, Xiaowei Li, Yu Liu

et al.

ACS Sensors, Journal Year: 2025, Volume and Issue: unknown

Published: May 17, 2025

Wearable gas sensors capable of real-time analysis exhaled breath have been identified as ideal devices for noninvasive illness diagnosis. However, due to their inherent rigidity and brittleness, well high cross-sensitivity, conventional semiconductor face significant challenges in achieving flexibility, robustness, selective analysis. Herein, we propose a wearable sensor by anchoring SnS2 nanosheets/polyaniline (PANI) sensing layer situ onto permeable flexible yttria-stabilized zirconia (YSZ) nanofiber substrate the NH3. The cross-linked meshes YSZ network abundant voids between nanosheets effectively release stress concentration YSZ/SnS2/PANI films, enabling withstand severe folding/bending deformation. organic PANI sheath endows YSZ/SnS2/PANI-based with enhanced toughness (0.66 kJ·m-3), stable electrical connection, excellent robustness. unique protonation/deprotonation mechanism, coupled heterojunction effect layer, ensures outstanding selectivity (sensor immunity coefficient ≈ 69%) response To support applications, signals from are transmitted wirelessly via Bluetooth displayed on smartphone. This work greatly advances application personal disease

Language: Английский

Citations

0

Rational design of hierarchical ZnFe2O4/Ti3C2Tx MXene composites through glycerol-assisted self-assembly toward rapid and selective ppb-level NO2 detection DOI

Zhiguang Pan,

Hao Huang, Jing Wang

et al.

Sensors and Actuators B Chemical, Journal Year: 2025, Volume and Issue: unknown, P. 137996 - 137996

Published: May 1, 2025

Language: Английский

Citations

0

Non-Invasive Diagnostic Approaches for Kidney Disease: The Role of Electronic Nose Systems DOI Creative Commons
Francesco Sansone, Alessandro Tonacci

Sensors, Journal Year: 2024, Volume and Issue: 24(19), P. 6475 - 6475

Published: Oct. 8, 2024

Kidney diseases are a group of conditions related to the functioning kidneys, which in turn unable properly filter waste and excessive fluids from blood, resulting presence dangerous levels electrolytes, fluids, substances human body, possibly leading significant health effects. At same time, toxins amassing organism can lead changes breath composition, halitosis with peculiar features like popular ammonia breath. Starting this evidence, scientists have started work on systems that detect kidney using minimally invasive approach, minimizing burden individuals, albeit providing clinicians useful information about disease's or its main features. The electronic nose (e-nose) is one such tools, applications specific domain represent core present review, performed articles published last 20 years humans stay updated latest technological advancements, conducted under PRISMA guidelines. This review focuses not only chemical physical principles detection compounds (mainly ammonia), but also most data processing approaches adopted by research community those relying Machine Learning), draw exhaustive conclusions state art figure out possible cues for future developments field.

Language: Английский

Citations

2

MoS2-Based NH3 Sensor for In Situ Helicobacter pylori Detection DOI

Minmin Zhao,

Zhu Zhang, Chao Tan

et al.

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: 16(50), P. 69798 - 69806

Published: Dec. 4, 2024

Detection of Helicobacter pylori is essential for the prevention gastric cancer. By detecting metabolized NH3, it was able to noninvasively reveal state H. pylori; however, still a challenge since NH3 concentration much lower conventional gas sensors. Herein, we developed MoS2-based sensor continuous, real-time monitoring growth. The atomic thin layer and all-exposed surface MoS2 facilitate adsorption charge transferring. A high-response prepared by decoration depositing metal nanoparticles. Fe-decorated outperformed with high response 40.9% 5.7 ppm at 25 ± 2 °C, low LOD (6.2 ppb), long-term stability 12.5% after 5 months. applied detection in situ its 92 h growth cycle. release curve exponential phase during continuously monitored, quantified. maximum specific rate 0.195 0.005 h–1, which well-consistent nature This study opens up technological roadmap noninvasive future.

Language: Английский

Citations

1

High-performance hydrogen sulfide gas sensor based on ZnFe2O4/MoO2 in chip DOI
Ran Jia,

Liang Guo,

Wei Yang

et al.

Sensors and Actuators A Physical, Journal Year: 2024, Volume and Issue: unknown, P. 116120 - 116120

Published: Dec. 1, 2024

Language: Английский

Citations

0