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High strength, high sensitivity, hydrophobic and conductive vegetable oil-based composites for human motion detection

文献类型： 外文期刊

作者： Xu, Congjie 1 ; Chen, Mingqiao 1 ; Ren, Hailong 1 ; Zhang, Peng 3 ; Cao, Lin 3 ; Lin, Zhidan 3 ; Yuan, Qinghua 1 ;

作者机构： 1.Guangdong Acad Agr Sci, Crops Res Inst, Guangzhou 510640, Peoples R China

2.Key Lab Crop Genet Improvement Guangdong Prov, Guangzhou 510640, Peoples R China

3.Jinan Univ, Inst Adv Wear & Corros Resistant & Funct Mat, Guangzhou 510632, Peoples R China

关键词： Polycaprolactone triol; Soybean oil; Mechanical properties; High sensitivity; Hydrophobic; Strain sensor

期刊名称：INDUSTRIAL CROPS AND PRODUCTS （ 影响因子：6.2； 五年影响因子：6.2 ）

ISSN： 0926-6690

年卷期： 2025 年 223 卷

页码：

收录情况： SCI

摘要： The vulnerability of infants and young children due to their fragile bodies and inability to effectively express physical discomfort has raised widespread of concern in the society. As it continues to be difficult to develop sensors with superior mechanical qualities and response sensitivity for use in health monitoring and recognition. Here, a polymer known as, Polyurethane Thermoplastic Elastomer, enhanced by crosslinking which is prepared from Isophorone Diisocyanate (IPDI), soybean oil polyol ED, and polycaprolactone triol (PCT-L) also referred to as PTIED, was prepared based on previously prepared soybean oil polyol ED and polycaprolactone triol (PCT-L) as soft segments, with IPDI as hard segments. This was followed by the preparation of the PTIED-CNT sensor by using PTIED as a matrix and hydroxyl carbon nanotubes (CNT) as a conductive filler. The mechanical properties of the obtained PTIED-CNT sensor have been enhanced, with a tensile strength of approximately 5 MPa. The sensitivity GF of the PTIED-CNT7 % can reach up to 805.67 and remains stable after 4500 seconds of continuous operation at 10 % strain. Moreover, the device can support high stability in a simulated sweat environment and exhibit antibacterial and hydrophobic, which could be used to check for small movements, such as those of the face and throat, and could also recognize sound. Therefore, its potential applications in respiratory monitoring of infants as well as other health monitoring applications are expected.

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