A smart porous conductive polymer composite (CPC) consisting of cellulose acetate as matrix and multiwalled carbon nanotubes as conductive filler was prepared to detect a set of lung cancer biomarkers. The solvent evaporation‐induced phase separation was used to introduce porosity into the conductive composite. The prepared sensitive layers exhibited high response intensity, low response time, and good recovery behavior toward the mentioned analytes. A thorough investigation was conducted on the morphology, response behavior, sensitivity, and selectivity of the prepared CPC transducer. The selectivity of responses was considered based on the thermodynamic and kinetic characteristics of polymer and analytes such as Hansen solubility parameters, Flory‐Huggins interaction parameter, and diffusion coefficient of analytes into the polymer membrane. Moreover, the microstructure of porous layers was characterized by using SEM, contact angle, and BET. The volume porosity and specific surface area of the sensitive layers were increased by the introduction of porosity into the polymer composite, causing the improvement of sensing parameters. The obtained responses further confirmed the promising potential of the prepared porous CPC structure, for the detection of lung cancer biomarkers, from exhaled breath as an inexpensive, repeatable, accurate, and noninvasive method.

中文翻译：

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多孔导电醋酸纤维素复合形态对有机化合物检测的影响分析研究

制备了一种以醋酸纤维素为基质，多壁碳纳米管为导电填料的智能多孔导电聚合物复合材料（CPC），以检测一组肺癌生物标志物。使用溶剂蒸发诱导的相分离将孔隙率引入导电复合材料。制备的敏感层表现出高响应强度，低响应时间和对上述分析物的良好恢复行为。对制备的CPC换能器的形态，响应行为，灵敏度和选择性进行了深入研究。根据聚合物和分析物的热力学和动力学特性，例如Hansen溶解度参数，Flory-Huggins相互作用参数以及分析物在聚合物膜中的扩散系数，来考虑响应的选择性。此外，通过使用SEM，接触角和BET来表征多孔层的微观结构。通过将孔隙率引入聚合物复合材料中来增加敏感层的体积孔隙率和比表面积，从而导致感测参数的改善。所获得的响应进一步证实了所制备的多孔CPC结构从呼气中作为廉价，可重复，准确且无创性方法用于检测肺癌生物标志物的潜力。