Detection of the level of ammonia gas in exhaled breath provides non-invasive and fast diagnosis of kidney failure. Here, we fabricated room temperature and sensitive chemiresistive ammonia gas sensor by in situ electropolymerization and deposition of polypyrrole/sulfonated graphene oxide (PPy/SRGO) on/between gold interdigitated electrodes (Au-IDEs). The prepared sensors were characterized by using field emission scanning electron microscopy (FESEM) and Fourier transform infrared (FT-IR). The fabricated ammonia gas sensor was tested at different operating temperatures (26-50°C) and we selected room temperature for simplifying operation (26°C). At this temperature, the sensor showed two linear ranges of 5-40 ppb (R = 0.99) and 40-5000 ppb (R = 0.98) with the detection limit of 2.7 ppb. The fabricated gas sensor showed good selectivity toward ammonia in comparison with different interfering gases like acetone, dibutylamine, ethanol, methanol, and humid air (RH = 86%). According to the exhaled breath analysis, the fabricated sensor can determine ammonia level in the patient with kidney failure compared with the healthy persons. The results are with a good linear correlation to the clinical blood test. So this study presents the facile, rapid, and sensitive measurement of ammonia gas in human exhaled breath as a non-invasive diagnosis of kidney disease.
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http://dx.doi.org/10.1007/s00604-025-07075-3 | DOI Listing |
Mikrochim Acta
March 2025
Department of Chemistry, Faculty of Basic Sciences, Tarbiat Modares University, P.O. Box 14115-175, Tehran, Iran.
Detection of the level of ammonia gas in exhaled breath provides non-invasive and fast diagnosis of kidney failure. Here, we fabricated room temperature and sensitive chemiresistive ammonia gas sensor by in situ electropolymerization and deposition of polypyrrole/sulfonated graphene oxide (PPy/SRGO) on/between gold interdigitated electrodes (Au-IDEs). The prepared sensors were characterized by using field emission scanning electron microscopy (FESEM) and Fourier transform infrared (FT-IR).
View Article and Find Full Text PDFACS Sens
March 2025
NanoTech Laboratory, School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, New South Wales 2109, Australia.
Breath sensors represent a frontier in noninvasive diagnostics, leveraging the detection of volatile organic compounds (VOCs) in exhaled breath for real-time health monitoring. This review highlights recent advancements in breath-sensing technologies, with a focus on the innovative materials driving their enhanced sensitivity and selectivity. Polymers, carbon-based materials like graphene and carbon nanotubes, and metal oxides such as ZnO and SnO have demonstrated significant potential in detecting biomarkers related to diseases including diabetes, liver/kidney dysfunction, asthma, and gut health.
View Article and Find Full Text PDFEnviron Sci Technol
March 2025
Research Center for Global Change and Complex Ecosystems, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, PR China.
Ammonia (NH) is the most prevalent alkaline gas in the atmosphere, with its elevated concentrations posing significant adverse impacts on air quality, ecosystems, and human health across diverse spatial and temporal scales. Given the ongoing global change and intensified anthropogenic NH emissions, it is projected that the global surface NH concentration will escalate further. Here, based on ground observations, gridded data of organic and inorganic nitrogen fertilizer applications, meteorological data, and ancillary information, we estimated changes in global monthly surface NH concentration during 2001-2019 at a 0.
View Article and Find Full Text PDFJ Environ Manage
March 2025
Institute of Thermal Power Engineering of Zhejiang University, Hangzhou, 310027, Zhejiang, China.
Owing to the complexity of municipal solid waste (MSW), flue gas composition and operating conditions, it is challenging to predict pollutant emissions accurately and control them intelligently in the MSW incineration process. This study uses a 750 t/d large-scale grate-type MSW incinerator as the research object. Based on a long short-term memory (LSTM) model, collaborative prediction (co-prediction) of multiple pollutants (HCl, SO, NO, and PM) emissions from MSW incinerator flue gas was achieved.
View Article and Find Full Text PDFJ Environ Manage
March 2025
Engineering Department, Palermo University, Viale delle Scienze, Ed. 8, 90128, Palermo, Italy. Electronic address:
This paper presents a comprehensive study on a Membrane BioReactor - Integrated Fixed Film Activated Sludge - Intermittent Aeration (MBR-IFAS-IA) pilot plant. The MBR-IFAS-IA operated under three different sludge retention times (SRTs): 7.0, 3.
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