【作者】 张平；

【导师】 陈尚达； 王秀锋；

【作者基本信息】 湘潭大学 ， 材料科学与工程， 2021， 硕士

【摘要】 出汗是人体最常见生理现象,在人体健康诊疗中有着重要的参考价值,引起了研究者们的广泛关注。目前对人体出汗率检测的手段主要是传统的贴片称重法,该方法不仅误差很大而且还不能进行实时监测。基于这些问题,我们开发了一种柔性可穿戴的MXene/PAAS（聚苯烯酸钠）湿度传感器,该传感器不仅制备工艺简单、成本低廉,而且还具有灵敏度高、响应速度快、抗干扰能力强等优点。该传感器通过测定人体皮肤表面湿度的连续变化实现了人体出汗率的实时监测,此方法比称重法的精度更大、可信度更高。此外,利用本MXene/PAAS湿度传感器的优越性能,还实现了人体呼吸的实时监测。本论文的主要内容如下:（1）通过盐酸和氟化锂的混合溶液对Ti₃Al C₂进行刻蚀制备出了MXene二维材料,然后与PAAS粉末进行均匀搅拌得到MXene/PAAS复合物。利用滴涂法在柔性的二电极PET基底上制备了MXene/PAAS湿度传感器,其响应/恢复时间分别为1.5 s和1.2 s,最大的电阻响应为1124%。此外,经过测试发现MXene/PAAS湿度传感器具有优越的柔性机械性能和很强的抗有机溶剂气体刺激干扰能力。（2）将MXene/PAAS湿度传感器与柔性PDMS薄膜以及超疏水纱布进行整合形成人体出汗率监测装置,在柔性的无线PCB模块辅助下,对人体的额头、手臂和后背进行了出汗率的实时监测。通过对三名志愿者的测试结果发现,人体的额头出汗率（112-138 g/m²·h）>后背出汗率（104-115 g/m²·h）>手臂的出汗率（57-83 g/m²·h）。随后还研究了温度变化、食用辣椒、喝热水、跑步运动对人体出汗率的刺激作用强度,食用辣椒刺激强度最大,喝热水刺激强度最小。（3）通过将MXene/PAAS湿度传感器与柔性PCB模块以及商业N95口罩整合形成人体呼吸监测装置,对人体不同状态下的呼吸进行了监测并以无线Wi Fi的方式把数据传输到电脑端。志愿者在正常状态、跑步状态、休息以及睡觉时的呼吸速率为16 min^-1、38 min^-1、17 min^-1和10 min^-1。此外,根据人体说话时产生不同的湿度波,MXene/PAAS湿度传感器实现了对人体说话的记录与识别,其在未来的个人识别系统研究中有一定的应用潜力。更多还原

【Abstract】 Sweating is the most common physiological phenomenon in the human body.It has an important reference value in the diagnosis and treatment of human health,so it has attracted widespread attention.At present,the main method for detecting human sweat rate is the traditional patch weighing method,which not only has a large error,but also cannot perform real-time monitoring.Based on these problems,we developed a flexible and wearable MXene/PAAS humidity sensor,which not only has simple preparation process and low cost,but also has the advantages of high sensitivity,fast response speed,and strong anti-interference ability.The sensor realizes real-time monitoring of human sweating rate by measuring the continuous change of the surface humidity of the human skin.This method is more accurate and reliable than the weighing method.In addition,due to the superior performance of the MXene/PAAS humidity sensor,we have also achieved real-time monitoring of human respiration.The main contents of this paper are as follows:（1）The MXene two-dimensional material was prepared by etching Ti₃Al C₂with a mixed solution of hydrochloric acid and lithium fluoride,and then uniformly stirred with PAAS powder to obtain the MXene/PAAS composite.The MXene/PAAS composite humidity sensor was fabricated on a flexible two-electrode PET substrate by drip coating.Its response/recovery time is 1.5 s and 1.2 s,and the maximum resistance response is 1124%.In addition,after testing,it is found that the MXene/PAAS composite humidity sensor has superior flexible mechanical properties and strong resistance to interference from organic solvent gas stimulation.（2）Integrate the MXene/PAAS composite humidity sensor with flexible PDMS film and superhydrophobic textile to form a human sweat rate monitoring device.With the help of a flexible wireless PCB module,the human body’s forehead,arms and back are displayed.Real-time monitoring of sweat rate.Through the test results of three volunteers,it is found that the sweating rate of the human forehead（112-138g/m²·h）>the sweating rate of the back（104-115 g/m²·h）>the sweating rate of the arms（57-83 g/m²·h）.Subsequently,the stimulating effects of temperature changes,eating hot peppers,drinking hot water,and running exercise on the human sweat rate were also studied.The stimulating intensity of eating hot peppers is the greatest,and drinking hot water is the least.（3）By integrating the MXene/PAAS humidity sensor with the flexible PCB module and the commercial N95 mask to form a human respiratory monitoring device,the human body’s respiration in different states is monitored and the data is transmitted to the computer terminal via wireless Wi Fi.Under normal conditions,the volunteers’breathing rates during running,resting and sleeping were 16 min^-1,38min^-1,17 min^-1 and 10 min^-1.In addition,according to the different humidity waves generated when the human body speaks,the MXene/PAAS composite humidity sensor realizes the recording and recognition of human speech,which has great potential in the research of personal identification systems in the future.更多还原