TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: unknown, P. 118065 - 118065
Published: Nov. 1, 2024
Language: Английский
ACS Sensors, Journal Year: 2024, Volume and Issue: 9(9), P. 4469 - 4494
Published: Sept. 9, 2024
Lung cancer remains a global health concern, demanding the development of noninvasive, prompt, selective, and point-of-care diagnostic tools. Correspondingly, breath analysis using nanobiosensors has emerged as promising noninvasive nose-on-chip technique for early detection lung through monitoring diversified biomarkers such volatile organic compounds/gases in exhaled breath. This comprehensive review summarizes state-of-the-art breath-based diagnosis employing chemiresistive-module supported by theoretical findings. It unveils fundamental mechanisms biological basis biomarker generation associated with cancer, technological advancements, clinical implementation nanobiosensor-based analysis. explores merits, challenges, potential alternate solutions implementing these settings, including standardization, biocompatibility/toxicity analysis, green sustainable technologies, life-cycle assessment, scheming regulatory modalities. highlights nanobiosensors' role facilitating precise, real-time, on-site leading to improved patient outcomes, enhanced management, remote personalized monitoring. Additionally, integrating biosensors artificial intelligence, machine learning, Internet-of-things, bioinformatics, omics technologies is discussed, providing insights into prospects intelligent sniffing nanobiosensors. Overall, this consolidates knowledge on breathomic biosensor-based screening, shedding light its significance applications advancing medical diagnostics reduce burden hospitals save human lives.
Language: Английский
Citations
28
Biocatalysis and Agricultural Biotechnology, Journal Year: 2024, Volume and Issue: 58, P. 103220 - 103220
Published: May 14, 2024
Language: Английский
Citations
11
Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 136, P. 108958 - 108958
Published: July 27, 2024
Language: Английский
Citations
11
Nano TransMed, Journal Year: 2024, Volume and Issue: 3, P. 100041 - 100041
Published: July 9, 2024
Artificial Intelligence (AI) and Nanotechnology are two cutting-edge fields that hold immense promise for revolutionizing various aspects of science, technology, everyday life. This review delves into the intersection these disciplines, highlighting synergistic relationship between AI Nanotechnology. It explores how techniques such as machine learning, deep neural networks being employed to enhance efficiency, precision, scalability nanotechnology applications. Furthermore, it discusses challenges, opportunities, future prospects integrating with nanotechnology, paving way transformative advancements in diverse domains ranging from healthcare materials science environmental sustainability beyond.
Language: Английский
Citations
8
Applied Surface Science, Journal Year: 2024, Volume and Issue: 678, P. 161047 - 161047
Published: Aug. 27, 2024
Language: Английский
Citations
8
Chemosensors, Journal Year: 2025, Volume and Issue: 13(1), P. 9 - 9
Published: Jan. 7, 2025
The sensing properties of adsorption/combustion-type microsensors using 5 wt% Pt-loaded aluminas, which consist two kinds alumina (α-Al2O3 and γ-Al2O3), as (catalytic) materials for ethanol toluene, were investigated in air, the mixing effects α-Al2O3 with γ-Al2O3 on dynamic static responses sensors discussed this study. 50 was most effective enhancing to ethanol, originated from flash combustion behavior and/or their partially decomposed products adsorbed films 150 °C 450 °C, while further tended increase toluene. On other hand, both arise catalytic at elevated temperatures (450 °C), mainly increased an addition aluminas. These results indicate that synergistic activity thermal conductivity aluminas are important these
Language: Английский
Citations
0
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
Published: Jan. 1, 2025
Language: Английский
Citations
0
TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: unknown, P. 118065 - 118065
Published: Nov. 1, 2024
Language: Английский
Citations
0