Effects of Au Addition on the Performance of Thermal Electronic Noses Based on Porous Cu2O–SnO2 Nanospheres DOI Creative Commons
Matteo Tonezzer, Taro Ueda,

Soichiro Torai

et al.

Nanomaterials, Journal Year: 2024, Volume and Issue: 14(24), P. 2052 - 2052

Published: Dec. 22, 2024

The electronic nose is an increasingly useful tool in many fields and applications. Our thermal approach, based on nanostructured metal oxide chemiresistors a gradient, has the advantage of being tiny therefore integrable portable wearable devices. Obviously, wise choice nanomaterial crucial for device’s performance should be carefully considered. Here we show how addition different amounts Au (between 1 5 wt%) Cu2O–SnO2 nanospheres affects performance. Interestingly, best not achieved with material offering highest intrinsic selectivity. This confirms importance specific studies, since chemoresistive gas sensors does linearly affect nose. By optimizing amount Au, device perfect classification tested gases (acetone, ethanol, toluene) good concentration estimation (with mean absolute percentage error around 16%). These performances, combined potentially smaller dimensions less than 0.5 mm2, make this ideal candidate numerous applications, such as agri-food, environmental, biomedical sectors.

Language: Английский

Volatile organic compound dynamics in Ugni Blanc and Vidal wines during fermentation in the Hexi Corridor (China): Insights from E-nose, GC-MS, GC-IMS, and multivariate statistical models DOI Creative Commons

MA Ying-hu,

Yuanyuan Wang, Jia Li

et al.

LWT, Journal Year: 2025, Volume and Issue: unknown, P. 117440 - 117440

Published: Jan. 1, 2025

Language: Английский

Citations

1
Qualitative and Quantitative Transformer-CNN Algorithm Models for the Screening of Exhale Biomarkers of Early Lung Cancer Patients DOI
Lei Li,

Fangting Zhu,

Bainan Tong

et al.

Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 10, 2025

Electronic nose (E-nose) has been applied many times for exhale biomarker detection lung cancer, which is a leading cause of cancer-related mortality worldwide. These noninvasive breath testing techniques can be used the early diagnosis cancer patients and help improve their five year survival. However, there are still key challenges to addressed, including accurately identifying kind volatile organic compounds (VOCs) biomarkers in human-exhaled concentrations these VOCs, may vary at different stages cancer. Recent research mainly focused on E-nose based metal oxide semiconductor sensor array with proposed single gas qualitative quantitative algorithms, but few breakthroughs multielement gaseous mixtures. This work proposes two hybrid deep-learning models that combine Transformer CNN algorithms identification VOC types quantification concentrations. The classification accuracy model reached 99.35%, precision 99.31%, recall was 99.00%, kappa 98.93%, all higher than those comparison like AlexNet, MobileNetV3, etc. achieved an average R2 0.999 RMSE only 0.109 mixed gases. Otherwise, parameter count FLOPs 0.7 50.28 M, respectively, this were much lower models. detailed experiments demonstrated potential our screening stage

Language: Английский

Citations

1
Biodegradable, Humidity‐Insensitive Mask‐Integrated E‐Nose for Sustainable and Non‐Invasive Continuous Breath Analysis DOI Creative Commons
Indrajit Mondal,

Adan Zoabi,

Hossam Haick

et al.

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 24, 2025

Abstract Breath analysis offers a non‐invasive approach to modern diagnostics by capturing volatile organic compounds (VOCs) in exhaled breath. However, current breath technologies face challenges like humidity sensitivity, high costs, and biodegradable solutions, limiting their scalability environmental sustainability. This study presents paper‐based, biodegradable, humidity‐insensitive electronic nose (e‐nose) sensor array integrated into mask for real‐time analysis. The sensors, coated with hydrophobic polymer coating, ensure robust insensitivity humidity, enabling reliable detection of VOCs even high‐moisture environments. mask‐integrated e‐nose facilitates monitoring applications such as alcohol consumption tracking respiratory health assessment. For the latter, Tuberculosis (TB) is selected representative use case, achieving 89% accuracy disease diagnosis recovery using pre‐trained deep‐learning model. fully‐biodegradable paper‐based naturally degrades soil within months, underscoring its eco‐friendly design suitability disposable monitoring. work introduces sustainable, user‐friendly potential personalized healthcare

Language: Английский

Citations

1
Effects of different thermal processing methods on physicochemical properties, microstructure, nutritional quality and volatile flavor compounds of silver carp bone soup DOI Creative Commons

Shi Nie,

Lu Zhang, Yutong Xie

et al.

Food Chemistry X, Journal Year: 2025, Volume and Issue: 26, P. 102319 - 102319

Published: Feb. 1, 2025

In this study, silver carp by-products were used as raw materials to prepare bone soup under four processing conditions: CF, CY, GF, and GY. The results showed that the content of soluble protein FAA in fish increased significantly after high-pressure cooking, decreased particle size micro-nanoparticles fat, rendered system relatively more stable. It was also found GY samples had a higher variety abundance flavor compounds than other three groups samples. correlation network model m-phthalaldehyde phenylacetaldehyde correlated with most FFAs, Met, Ile Arg positively compounds. conclusion, nutritional quality improved cooking (pressure 70 kPa, for 45 min).

Language: Английский

Citations

1
The Screening and Diagnosis Technologies Towards Pneumoconiosis: From Imaging Analysis to E-Noses DOI Creative Commons

Y. Zhang,

Wufan Xuan, Shuai Chen

et al.

Chemosensors, Journal Year: 2025, Volume and Issue: 13(3), P. 102 - 102

Published: March 11, 2025

Pneumoconiosis, as the most widely distributed occupational disease globally, poses serious health and social hazards. Its diagnostic techniques have evolved from conventional imaging computer-assisted analysis to emerging sensor strategies covering biomarker analysis, routine breath sensing, integrated electronic nose (E-nose), etc. All of them both special advantages face shortcomings or challenges in practical application. In recent years, emergence advanced data technologies, including artificial intelligence (AI), has provided opportunities for large-scale screening pneumoconiosis. On basis a deep characteristics technologies diagnosis pneumoconiosis, this paper comprehensively systematically reviews current development these especially focusing on research progress provides forecast their future development.

Language: Английский

Citations

1
Future Outdoor Safety Monitoring: Integrating Human Activity Recognition with the Internet of Physical–Virtual Things DOI Creative Commons
Yu Chen, Jia Li, Erik Blasch

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(7), P. 3434 - 3434

Published: March 21, 2025

The convergence of the Internet Physical–Virtual Things (IoPVT) and Metaverse presents a transformative opportunity for safety health monitoring in outdoor environments. This concept paper explores how integrating human activity recognition (HAR) with IoPVT within can revolutionize public safety, particularly urban settings challenging climates architectures. By seamlessly blending physical sensor networks immersive virtual environments, highlights future where real-time data collection, digital twin modeling, advanced analytics, predictive planning proactively enhance well-being. Specifically, three dimensions humans, technology, environment interact toward measuring health, climate. Three cultural scenarios showcase to utilize HAR–IoPVT sensors external staircases, rural climate, coastal infrastructure. Advanced algorithms analytics would identify potential hazards, enabling timely interventions reducing accidents. also societal benefits, such as proactive monitoring, enhanced emergency response, contributions smart city initiatives. Additionally, we address challenges research directions necessary realize this future, emphasizing AI technical scalability, ethical considerations, importance interdisciplinary collaboration designs policies. articulating an AI-driven HAR vision along required advancements edge-based fusion, responsiveness fog computing, social through cloud aim inspire academic community, industry stakeholders, policymakers collaborate shaping technology profoundly improves enhances enriches quality life.

Language: Английский

Citations

1
Response to letter to the Editor from Y. Takefuji on “Beyond principal component analysis: Enhancing feature reduction in electronic noses through robust statistical methods” DOI
Zichen Zheng, Kewei Liu,

Yiwen Zhou

et al.

Trends in Food Science & Technology, Journal Year: 2025, Volume and Issue: unknown, P. 104918 - 104918

Published: Feb. 1, 2025

Language: Английский

Citations

0
Chemometrics analysis of light-flavor Erguotou Baijiu during irradiation treatment using HS-SPME/GC-MS, HS-GC-IMS, electronic nose and sensory evaluation DOI Creative Commons

Cuiping Yan,

Yong Liu, Jianlong Wang

et al.

Food Chemistry Advances, Journal Year: 2025, Volume and Issue: unknown, P. 100904 - 100904

Published: Jan. 1, 2025

Language: Английский

Citations

0
Machine Learning Powered Multiple Cross-interference Suppression Strategy for Surface Acoustic Wave Sensing Platform DOI

Yanhong Xia,

Kaitao Tan,

Hui Chen

et al.

Sensors and Actuators B Chemical, Journal Year: 2025, Volume and Issue: unknown, P. 137464 - 137464

Published: Feb. 1, 2025

Language: Английский

Citations

0
Multi-scenario Adaptive Electronic Nose for the Detection of Environmental Odor Pollutants DOI
Chen Qu, Zhuoran Zhang, Jinhua Liu

et al.

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 489, P. 137660 - 137660

Published: Feb. 18, 2025

Language: Английский

Citations

0