A dual-mode foam sensor employing Ti3C2Tx/In2O3 composites for NH3 detection with memory function and body movement monitoring for kidney disease diagnosis

被引:10
作者
Kan, Zitong [1 ]
Shi, Fangyu [3 ]
Yang, Long [1 ]
Zhou, Qingqing [1 ]
Zhang, Yuhong [1 ]
Qi, Yu [1 ]
Zhang, Huan [1 ]
Dong, Biao [1 ]
Ren, Luquan [2 ]
Song, Hongwei [1 ]
Xu, Lin [1 ,2 ]
机构
[1] Jilin Univ, Coll Elect Sci & Engn, State Key Lab Integrated Optoelect, 2699 Qianjin St, Changchun 130012, Peoples R China
[2] Jilin Univ, Coll Biol & Agr Engn, Key Lab Bion Engn, Minist Educ, Changchun 130025, Peoples R China
[3] Jilin Univ, Sch & Hosp Stomatol, Dept Prosthodont, Jilin Prov Key Lab Sci & Technol Stomatol Nanoengn, Changchun 130021, Peoples R China
基金
中国国家自然科学基金;
关键词
ROOM-TEMPERATURE; GAS SENSOR;
D O I
10.1039/d3ta05670h
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Research on non-invasive nephropathy testing has been a prominent area of interest both domestically and internationally. However, the conventional NH3 measurement using gas sensors is distorted by other exhaled components, compromising assessment precision. In this study, a bi-functional sensing platform based on Ti3C2Tx/In2O3 nanocomposites modified TPU foam sensor was constructed to realize the detection of gas and motion bio-signals of kidney diseases. By combining surface-functionalized In2O3 nanotubes with Ti3C2Tx nanoflakes, the achieved nanocomposites showed a strong synergistic effect and structural stability. In addition, by depositing Ti3C2Tx/In2O3 nanocomposites onto the TPU foam substrate, the detection of multiple external stimuli with non-interfering in a flexible and room temperature way can be achieved. The developed Ti3C2Tx/In2O3 foam sensor exhibits the capability to detect NH3 gas as low as 1 ppm with memory function, demonstrating its excellent practical utility in complex exhaled environments. Moreover, the sensor displays a remarkable ability to accurately interpret human motion signals, including leg flexion and extension. The Ti3C2Tx/In2O3 foam sensor was successfully deployed for the comprehensive monitoring of abnormal physiological signals in patients with kidney disease, encompassing simulated NH3 exhalation patterns, and limb flexion-extension signals. This study introduces some ideas to develop a multifunctional sensing platform for disease diagnosis in a non-invasive way.
引用
收藏
页码:24299 / 24310
页数:12
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