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Wan L, Xu N, Wu X, Liu M, Liu Y, Zhao J, Zhang T, Zhao J, Zhou Y, Xie Q, Hu Y, Jiang X, Tang C, Quan Y, Shafique S, Tian Y, Zhang X, Zhang Y, Zhou K, Cao J, Jian J, Wang Y. Enhanced heterogeneous interface to construct intelligent conductive hydrogel gas sensor for individualized treatment of infected wounds. Int J Biol Macromol 2024; 258:128520. [PMID: 38040150 DOI: 10.1016/j.ijbiomac.2023.128520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/15/2023] [Accepted: 11/28/2023] [Indexed: 12/03/2023]
Abstract
In this study, we developed an enhanced heterogeneous interface intelligent conductive hydrogel NH3 sensor for individualized treatment of infected wounds. The sensor achieved monitoring, self-diagnosis, and adaptive gear adjustment functions. The PPY@PDA/PANI(3/6) sensor had a minimum NH3 detection concentration of 50 ppb and a response value of 2.94 %. It also had a theoretical detection limit of 49 ppt for infected wound gas. The sensor exhibited a fast response time of 23.2 s and a recovery time of 42.9 s. Tobramycin (TOB) was encapsulated in a self-healing QCS/OD hydrogel formed by quaternized chitosan (QCS) and oxidized dextran (OD), followed by the addition of polydopamine-coated polypyrrole nanowires (PPY@PDA) and polyaniline (PANI) to prepare electrically conductive drug-loaded PPY@PDA/PANI hydrogels. The drug-loaded PPY@PDA/PANI hydrogel was combined with a PANI/PVDF membrane to form an enhanced heterogeneous interfacial PPY@PDA/PANI/PVDF-based sensor, which could adaptively learn the individual wound ammonia response and adjust the speed of drug release from the PPY@PDA/PANI hydrogel with electrical stimulation. Drug release and animal studies demonstrated the efficacy of the PPY@PDA/PANI hydrogel in inhibiting infection and accelerating wound healing. In conclusion, the gas-sensitive conductive hydrogel sensing system is expected to enable intelligent drug delivery and provide personalized treatment for complex wound management.
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Affiliation(s)
- Linguo Wan
- Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Nanjian Xu
- Department of Spine Surgery, Ningbo Sixth Hospital, Ningbo, Zhejiang 315040, China.
| | - Xiaodong Wu
- Department of Anesthesiology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Mujie Liu
- Medical College, Ningbo University, Ningbo, Zhejiang 315000, China
| | - Yong Liu
- Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Jinglong Zhao
- Zhejiang Provincial Engineering Research Center of Energy Optoelectronic Materials and Devices, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang 315201, China
| | - Ting Zhang
- Zhejiang Provincial Engineering Research Center of Energy Optoelectronic Materials and Devices, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang 315201, China
| | - Jingwei Zhao
- Zhejiang Provincial Engineering Research Center of Energy Optoelectronic Materials and Devices, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang 315201, China
| | - Yu Zhou
- Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Qingqing Xie
- Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Yiwei Hu
- Medical College, Ningbo University, Ningbo, Zhejiang 315000, China
| | - Xiaoqing Jiang
- Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Chen Tang
- Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Yuping Quan
- Department of Plastic Surgery and Regenerative Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian 350001, China
| | - Shareen Shafique
- Department of Microelectronic Science and Engineering, Ningbo Collaborative Innovation Center of Nonlinear Calamity System of Ocean and Atmosphere, Ningbo University, Ningbo 315211, China
| | - Ye Tian
- Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Xin Zhang
- Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Yuejun Zhang
- Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Kun Zhou
- School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, China
| | - Jiangbei Cao
- Department of Anesthesiology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China.
| | - Jiawen Jian
- Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang 315211, China.
| | - Yuheng Wang
- Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang 315211, China.
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