Author:
Ricci Peter P.,Gregory Otto J.
Abstract
AbstractThe presence of ammonia within the body has long been linked to complications stemming from the liver, kidneys, and stomach. These complications can be the result of serious conditions such as chronic kidney disease (CKD), peptic ulcers, and recently COVID-19. Limited liver and kidney function leads to increased blood urea nitrogen (BUN) within the body resulting in elevated levels of ammonia in the mouth, nose, and skin. Similarly, peptic ulcers, commonly from H. pylori, result in ammonia production from urea within the stomach. The presence of these biomarkers enables a potential screening protocol to be considered for frequent, non-invasive monitoring of these conditions. Unfortunately, detection of ammonia in these mediums is rather challenging due to relatively small concentrations and an abundance of interferents. Currently, there are no options available for non-invasive screening of these conditions continuously and in real-time. Here we demonstrate the selective detection of ammonia using a vapor phase thermodynamic sensing platform capable of being employed as part of a health screening protocol. The results show that our detection system has the remarkable ability to selectively detect trace levels of ammonia in the vapor phase using a single catalyst. Additionally, detection was demonstrated in the presence of interferents such as carbon dioxide (CO2) and acetone common in human breath. These results show that our thermodynamic sensors are well suited to selectively detect ammonia at levels that could potentially be useful for health screening applications.
Publisher
Springer Science and Business Media LLC
Reference40 articles.
1. Wouters, O. J. et al. Early chronic kidney disease: diagnosis, management and models of care. Nat. Rev. Nephrol. 11(8), 491 (2015).
2. Guo, Y. R. The origin, transmission and clinical therapies on coronavirus disease et al COVID-19 outbreak—an update on the status. Mil. Med. Res. 7, 1 (2020).
3. Liu, Y. M. et al. Kidney function indicators predict adverse outcomes of COVID-19. Med 2(1), 38–48 (2020).
4. Zaim, S. et al. COVID-19 and multiorgan response. Curr. Probl. Cardiol. 45(8), 100618 (2020).
5. Ruan, Q. et al. Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan China. Intensive Care Med. 46(5), 846–848 (2020).
Cited by
70 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献