Preparation and application of electro-conductive hydrogels in biomedical engineering
Journal Title: Progress in Medical Devices - Year 2023, Vol 1, Issue 2
Abstract
Electro-conductive hydrogel is a new composite hydrogel with high electrical conductivity, extraordinary mechanical properties, and controllability. It can be equipped with specific materials to obtain specific properties, which has attracted considerable research attention due to its wide range of application as a biomaterial in the biomedical engineering field. It can be used as a patch to promote healing and as a dressing for burns and pressure wounds. In pharmaceutical science, it is widely studied as a carrier of targeted and quantitative drug release. In surgery, it can serve as a cell scaffold for implantable therapy. Currently, increasing research is focusing on the development of sensors as simulated skin for robots, as well as in health monitors for human activity and well-being. In this review, we summarize the classification and selection of conductive mediums, natural polymer hydrogel matrices, and the application of electro-conductive hydrogels in the fields of bioengineering and biomedicine. We delve into the properties of different conductive mediums and the principle of combining different hydrogel matrices and discuss the advantages and disadvantages of emerging composite hydrogels. Our focus extends to the forefront of conductive hydrogel research in various fields, while also elucidating the current problems and challenges in terms of performance integration, preparation process and practical applications.
Authors and Affiliations
Wenwen Zhang, Lin Mao, Zhongxin Hu, WanwenYang, Linying Zhang, Chengli Song
Dipstick color recognition in dry chemical urinalysis: A mini review
Urinalysis is an essential diagnostic tool for urinary tract infections, kidney disease, diabetes, and other clinical conditions. Dipsticks, which allow for quick screening of urine specimens, are used in the clinic sett...
Analysis of urinary non-formed components at home based on machine learning algorithms
Objective: Machine learning can automatically extract valuable insights from vast datasets, predict and classify diseases, and evaluate drug efficacy. To assess the effectiveness of machine learning algorithms in analyzi...
Electromagnetic induction detection techniques for craniocerebral injury: A review
Assessing the severity and prognosis of patients with craniocerebral damage is a major research area in medicine since it is a prevalent clinical disease. Acute craniocerebral injury, a common traumatic condition, is oft...
Review of methods for detecting electrode-tissue contact status during atrial fibrillation ablation
Atrial fibrillation is a common cardiac arrhythmia with an annually increasing global prevalence. Ablation of atrial fibrillation is a minimally invasive procedure that treats atrial fibrillation by using a catheter to...
Advancements in irreversible electroporation ablation technology for treating atrial fibrillation
Pulsed field ablation (PFA), an emerging treatment method for atrial fibrillation, has demonstrated significant potential in arrhythmia therapy. PFA employs high-intensity, short-duration electric fields to induce irreve...