TY - JOUR
T1 - A high-performance room-temperature biomass carbon-based nitric oxide (NO) gas sensor used to diagnose asthma and monitor its severity clinically
AU - Liu, Xingyu
AU - You, Xiaoyu
AU - Cui, Xinyue
AU - Fu, Huaian
AU - Song, Fei
AU - Zhang, Kai
AU - Jing, Qiang
AU - Han, Shasha
AU - Liu, Bo
N1 - Publisher Copyright:
© 2025 Elsevier B.V.
PY - 2025/6/4
Y1 - 2025/6/4
N2 - Fractional exhaled nitric oxide (FeNO) has been identified as a biomarker for asthma that can aid in both its diagnosis and severity monitoring. Here, a high-performance NO gas sensor based on rGO-decorated biomass carbon was fabricated. Operating at room temperature, the sensor can detect 50 ppb NO in exhaled breaths, which is a critical concentration threshold in asthma diagnosis and management. Clinically, 11 exhaled breath samples from asthma patients and 13 from healthy controls were collected. The sensor successfully discriminated between asthma patients and healthy controls directly via the response values. The severity of asthma in three inpatients was monitored using the sensor in parallel with the clinical standard tool, the peak flow meter. A high degree of consistency was observed between the severity monitoring results obtained by the two methods. Specifically, a strong positive correlation between the sensor's response values and the clinical standard diurnal PEF variation was found, with a Pearson correlation coefficient of r = 0.84 (p<0.05), further validating the sensor's reliability for monitoring asthma severity. This sensor holds significant potential for clinical application in asthma diagnosis and could replace current, complex, and limited PEF testing methods for asthma severity monitoring.
AB - Fractional exhaled nitric oxide (FeNO) has been identified as a biomarker for asthma that can aid in both its diagnosis and severity monitoring. Here, a high-performance NO gas sensor based on rGO-decorated biomass carbon was fabricated. Operating at room temperature, the sensor can detect 50 ppb NO in exhaled breaths, which is a critical concentration threshold in asthma diagnosis and management. Clinically, 11 exhaled breath samples from asthma patients and 13 from healthy controls were collected. The sensor successfully discriminated between asthma patients and healthy controls directly via the response values. The severity of asthma in three inpatients was monitored using the sensor in parallel with the clinical standard tool, the peak flow meter. A high degree of consistency was observed between the severity monitoring results obtained by the two methods. Specifically, a strong positive correlation between the sensor's response values and the clinical standard diurnal PEF variation was found, with a Pearson correlation coefficient of r = 0.84 (p<0.05), further validating the sensor's reliability for monitoring asthma severity. This sensor holds significant potential for clinical application in asthma diagnosis and could replace current, complex, and limited PEF testing methods for asthma severity monitoring.
KW - Asthma diagnosis
KW - Asthma monitoring
KW - Biomass carbon
KW - Exhaled breath analysis
KW - NO gas sensor
KW - rGO
UR - http://www.scopus.com/inward/record.url?scp=105007548435&partnerID=8YFLogxK
U2 - 10.1016/j.microc.2025.114019
DO - 10.1016/j.microc.2025.114019
M3 - Article
SN - 0026-265X
VL - 215
JO - Microchemical Journal
JF - Microchemical Journal
M1 - 114019
ER -