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Hu Z, Zhao J, Guo H, Li R, Wu M, Shen J, Wang Y, Qiao Z, Xu Y, Haugstad G, An D, Xie Z, Kandela I, Nandoliya KR, Chen Y, Yu Y, Yuan Q, Hou J, Deng Y, AlDubayan AH, Yang Q, Zeng L, Lu D, Koo J, Bai W, Song E, Yao S, Wolverton C, Huang Y, Rogers JA. Ultrathin, Transferred Layers of Silicon Oxynitrides as Tunable Biofluid Barriers for Bioresorbable Electronic Systems. Adv Mater 2024; 36:e2307782. [PMID: 38303684 DOI: 10.1002/adma.202307782] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 01/25/2024] [Indexed: 02/03/2024]
Abstract
Bio/ecoresorbable electronic systems create unique opportunities in implantable medical devices that serve a need over a finite time period and then disappear naturally to eliminate the need for extraction surgeries. A critical challenge in the development of this type of technology is in materials that can serve as thin, stable barriers to surrounding ground water or biofluids, yet ultimately dissolve completely to benign end products. This paper describes a class of inorganic material (silicon oxynitride, SiON) that can be formed in thin films by plasma-enhanced chemical vapor deposition for this purpose. In vitro studies suggest that SiON and its dissolution products are biocompatible, indicating the potential for its use in implantable devices. A facile process to fabricate flexible, wafer-scale multilayer films bypasses limitations associated with the mechanical fragility of inorganic thin films. Systematic computational, analytical, and experimental studies highlight the essential materials aspects. Demonstrations in wireless light-emitting diodes both in vitro and in vivo illustrate the practical use of these materials strategies. The ability to select degradation rates and water permeability through fine tuning of chemical compositions and thicknesses provides the opportunity to obtain a range of functional lifetimes to meet different application requirements.
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Affiliation(s)
- Ziying Hu
- Querrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Jie Zhao
- State Key Laboratory of Molecular Engineering of Polymers, Department of Materials Science, Fudan University, Shanghai, 200433, China
| | - Hexia Guo
- Querrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Rui Li
- State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Department of Engineering Mechanics, and International Research Center for Computational Mechanics, Dalian University of Technology, Dalian, 116024, P. R. China
| | - Mingzheng Wu
- Querrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Jiahong Shen
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Yue Wang
- Querrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Zheng Qiao
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Yue Xu
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Greg Haugstad
- Characterization Facility, University of Minnesota, 100 Union St. SE, Minneapolis, MN, 55455, USA
| | - Dongqi An
- State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Department of Engineering Mechanics, and International Research Center for Computational Mechanics, Dalian University of Technology, Dalian, 116024, P. R. China
| | - Zhaoqian Xie
- State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Department of Engineering Mechanics, and International Research Center for Computational Mechanics, Dalian University of Technology, Dalian, 116024, P. R. China
| | - Irawati Kandela
- Center for Developmental Therapeutics, Northwestern University, Evanston, IL, 60208, USA
- Chemistry Life Processes Institute, Northwestern University, Evanston, IL, 60208, USA
| | - Khizar R Nandoliya
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Yu Chen
- School of Physical Science and Technology, Shanghai Tech University, Shanghai, 201210, China
| | - Yi Yu
- School of Physical Science and Technology, Shanghai Tech University, Shanghai, 201210, China
| | - Qunyao Yuan
- State Key Laboratory of Molecular Engineering of Polymers, Department of Materials Science, Fudan University, Shanghai, 200433, China
| | - Junyu Hou
- State Key Laboratory of Molecular Engineering of Polymers, Department of Materials Science, Fudan University, Shanghai, 200433, China
| | - Yujun Deng
- State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Abdulaziz H AlDubayan
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Quansan Yang
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Liangsong Zeng
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Di Lu
- Querrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Jahyun Koo
- Querrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Wubin Bai
- Querrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Enming Song
- Institute of Optoelectronics, Fudan University, Shanghai, 200433, P. R. China
| | - Shenglian Yao
- Querrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Chris Wolverton
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Yonggang Huang
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - John A Rogers
- Querrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA
- Department of Chemistry, Department of Neurological Surgery, and Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, 60208, USA
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Zhou Y, Yin L, Xiang S, Yu S, Johnson HM, Wang S, Yin J, Zhao J, Luo Y, Chu PK. Unleashing the Potential of MXene-Based Flexible Materials for High-Performance Energy Storage Devices. Adv Sci (Weinh) 2024; 11:e2304874. [PMID: 37939293 PMCID: PMC10797478 DOI: 10.1002/advs.202304874] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 09/07/2023] [Indexed: 11/10/2023]
Abstract
Since the initial discovery of Ti3 C2 a decade ago, there has been a significant surge of interest in 2D MXenes and MXene-based composites. This can be attributed to the remarkable intrinsic properties exhibited by MXenes, including metallic conductivity, abundant functional groups, unique layered microstructure, and the ability to control interlayer spacing. These properties contribute to the exceptional electrical and mechanical performance of MXenes, rendering them highly suitable for implementation as candidate materials in flexible and wearable energy storage devices. Recently, a substantial number of novel research has been dedicated to exploring MXene-based flexible materials with diverse functionalities and specifically designed structures, aiming to enhance the efficiency of energy storage systems. In this review, a comprehensive overview of the synthesis and fabrication strategies employed in the development of these diverse MXene-based materials is provided. Furthermore, an in-depth analysis of the energy storage applications exhibited by these innovative flexible materials, encompassing supercapacitors, Li-ion batteries, Li-S batteries, and other potential avenues, is conducted. In addition to presenting the current state of the field, the challenges encountered in the implementation of MXene-based flexible materials are also highlighted and insights are provided into future research directions and prospects.
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Affiliation(s)
- Yunlei Zhou
- Hangzhou Institute of TechnologyXidian UniversityHangzhou311200China
- School of Mechano‐Electronic EngineeringXidian UniversityXi'an710071China
| | - Liting Yin
- Department of Aerospace and Mechanical EngineeringUniversity of Southern CaliforniaLos AngelesCA90089USA
| | - Shuangfei Xiang
- School of Materials Science and Engineering and Institute of Smart Fiber MaterialsZhejiang Sci‐Tech UniversityHangzhou310018China
| | - Sheng Yu
- Department of ChemistryWashington State UniversityPullmanWA99164USA
| | | | - Shaolei Wang
- Department of BioengineeringUniversity of CaliforniaLos AngelesLos AngelesCA90095USA
| | - Junyi Yin
- Department of BioengineeringUniversity of CaliforniaLos AngelesLos AngelesCA90095USA
| | - Jie Zhao
- Molecular Engineering of PolymersDepartment of Material ScienceFudan UniversityShanghai200438China
| | - Yang Luo
- Department of MaterialsETH ZurichZurich8093Switzerland
- Department of PhysicsDepartment of Materials Science and Engineeringand Department of Biomedical EngineeringCity University of Hong KongKowloonHong Kong999077China
| | - Paul K. Chu
- Department of PhysicsDepartment of Materials Science and Engineeringand Department of Biomedical EngineeringCity University of Hong KongKowloonHong Kong999077China
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Guo L, Dou Y, Xiang Y, Luo L, Xu X, Wang Q, Zhang Y, Liang T. Systematic analysis of cancer-specific synthetic lethal interactions provides insight into personalized anticancer therapy. FEBS J 2023; 290:1531-1548. [PMID: 36181326 DOI: 10.1111/febs.16643] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 08/26/2022] [Accepted: 09/30/2022] [Indexed: 12/05/2022]
Abstract
The concept of synthetic lethality has great potential for anticancer therapy as a new strategy to specifically kill cancer cells while sparing normal cells. To further understand the potential molecular interactions and gene characteristics involved in synthetic lethality, we performed a comprehensive analysis of predicted cancer-specific genetic interactions. Many genes were identified as cancer-associated genes that contributed to multiple biological processes and pathways, and the gene features were not random, indicating their potential roles in human carcinogenesis. Some relevant genes detected in multiple cancers were prone to be enriched in specific biological progresses and pathways, especially processes associated with DNA damage, chromosome-related functions and cancer pathways. These findings strongly implicated potential roles for these genes in cancer pathophysiology and functional relationships, as well as applications for future anticancer drug discovery. Further experimental validation indicated that the synthetic lethal interaction of APC and GFER may provide a potential anticancer strategy for patients with APC-mutant colon cancer. These results will contribute to further exploration of synthetic lethal interactions and broader application of the concept of synthetic lethality in anticancer therapeutics.
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Affiliation(s)
- Li Guo
- Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, China
| | - Yuyang Dou
- Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, China
| | - Yangyang Xiang
- Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, China
| | - Lulu Luo
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, China
| | - Xinru Xu
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, China
| | - Qiushi Wang
- Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, China
| | - Yuting Zhang
- Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, China
| | - Tingming Liang
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, China
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