铬铁矿
纳米颗粒
跟踪(心理语言学)
丙酮
尖晶石
糖尿病
材料科学
核化学
化学
环境化学
冶金
纳米技术
医学
有机化学
内分泌学
语言学
哲学
作者
Subhajit Mojumder,Tanushri Das,Sagnik Das,Subhajit Das,Maitrayee Biswas,Srabanti Ghosh,M. Pal
标识
DOI:10.1021/acsanm.5c00561
摘要
A noninvasive point-of-care diagnostic approach for detecting diabetes through exhaled breath analysis has been developed utilizing a highly sensitive spinel chromite-based sensor to detect acetone, a key biomarker in diabetic patients. Various spinel chromites, namely, MgCr2O4, CuCr2O4, and ZnCr2O4, were synthesized through the chemical route, and required characterizations were performed using relevant sophisticated tools. Our study reveals that MgCr2O4 exhibits outstanding sensing capabilities for trace acetone, surpassing other contenders in terms of response, selectivity, response and recovery times, repeatability, reproducibility, and long-term stability. The exceptional sensing performance of MgCr2O4 can be attributed to a synergistic combination of chromium's bivalency, increased oxygen defects, and enhanced active surface area. The selectivity of the MgCr2O4 sensor toward acetone is largely governed by the maximum adsorption energy of acetone molecules compared to other interfering gases. The sensor's efficacy in detecting diabetes was validated using both healthy subjects and simulated breath samples. Furthermore, its practical feasibility was successfully demonstrated through integration into a hand-held, Arduino-based breath analyzer prototype. This breakthrough may have far-reaching implications and poised to make a profound societal impact in the years to come.
科研通智能强力驱动
Strongly Powered by AbleSci AI