Preparation of Conductive Cellulose Coated with Conductive Polymer and Its Application in the Detection of pH and Characteristic Substances in Sweat

• Published in: International journal of molecular sciences Vol. 25; no. 12; p. 6393
• Main Authors: Wu, Yujia, Hou, Defa, Zheng, Yunwu, Lin, Xu, Yang, Fulin, Liu, Can, Sun, Hao
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 10.06.2024; MDPI
• Subjects: Biosensing Techniques - methods; Biosensors; Cellulose; Cellulose - chemistry; Cellulose fibers; conductive film; Cost analysis; Detectors; Electric Conductivity; electrochemical sensor; Electrochemical Techniques - methods; Electrolytes; Humans; Hydrocarbons; Hydrogen bonds; Hydrogen-Ion Concentration; Integrated circuits; Mechanical properties; Membranes; Metabolites; poly (sodium 4-styrenesulfonate); Polymer industry; Polymers - chemistry; Polystyrenes - chemistry; Sensors; Sweat - chemistry; sweat detection; sweat detection; conductive film; electrochemical sensor; cellulose; poly (sodium 4-styrenesulfonate)
• ISSN: 1422-0067; 1661-6596; 1422-0067
• DOI: 10.3390/ijms25126393

Rich biological information in sweat provides great potential for health monitoring and management. However, due to the complexity of sweat, the development of environmentally friendly green electronic products is of great significance to the construction of ecological civilization. This study utilized a simple combination of polystyrene sulfonate sodium (PSS) and filter paper (FP) to prepare cellulose materials coated with conductive polymers, developing an electrochemical sensor based on the modified materials. The mechanical and electrochemical properties of the fabricated PSS/FP membrane were optimized by adjusting the feeding dosage of PSS. The realized PSS/FP composite containing 7% PSS displayed good conductivity (9.1 × 10 S/m), reducing electric resistance by 99.2% compared with the original FP membrane (6.7 × 10 S/m). The stable current of the membrane in simulated sweat under different pH environments is highly correlated with the pH values. Additionally, when the membrane is exposed to simulated sweat with varying ion concentrations, the current signal changes in real time with the concentration variations. The response time averages around 0.3 s.