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Hua Z, Tang L, Li L, Wu M, Fu J. Environmental biotechnology and the involving biological process using graphene-based biocompatible material. CHEMOSPHERE 2023; 339:139771. [PMID: 37567262 DOI: 10.1016/j.chemosphere.2023.139771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 05/29/2023] [Accepted: 08/07/2023] [Indexed: 08/13/2023]
Abstract
Biotechnology is a promising approach to environmental remediation but requires improvement in efficiency and convenience. The improvement of biotechnology has been illustrated with the help of biocompatible materials as biocarrier for environmental remediations. Recently, graphene-based materials (GBMs) have become promising materials in environmental biotechnology. To better illustrate the principle and mechanisms of GBM application in biotechnology, the comprehension of the biological response of microorganisms and enzymes when facing the GBMs is needed. The review illustrated distinct GBM-microbe/enzyme composites by providing the GBM-microbe/enzyme interaction and the determining factors. There are diverse GBM modifications for distinct biotechnology applications. Each of these methods and applications depends on the physicochemical properties of GBMs. The applications of these composites were mainly categorized as pollutant adsorption, anaerobic digestion, microbial fuel cells, and organics degradation. Where information was available, the strategies and mechanisms of GBMs in improving application efficacies were also demonstrated. In addition, the biological response, from microbial community changes, extracellular polymeric substances changes to biological pathway alteration, may become important in the application of these composites. Furthermore, we also discuss challenges facing the environmental application of GBMs, considering their fate and toxicity in the ecosystem, and offer potential solutions. This research significantly enhances our comprehension of the fundamental principles, underlying mechanisms, and biological pathways for the in-situ utilization of GBMs.
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Affiliation(s)
- Zilong Hua
- Key Laboratory of Organic Compound Pollution Control Engineering, School of Environmental and Chemical Engineering, Shanghai University, China
| | - Liang Tang
- Key Laboratory of Organic Compound Pollution Control Engineering, School of Environmental and Chemical Engineering, Shanghai University, China.
| | - Liyan Li
- Department of Civil and Environmental Engineering, College of Design and Engineering, National University of Singapore, Singapore
| | - Minghong Wu
- Key Laboratory of Organic Compound Pollution Control Engineering, School of Environmental and Chemical Engineering, Shanghai University, China
| | - Jing Fu
- Key Laboratory of Organic Compound Pollution Control Engineering, School of Environmental and Chemical Engineering, Shanghai University, China.
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2
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Qi X, Pan C, Zhang L, Yue D. Bio-Based, Self-Healing, Recyclable, Reconfigurable Multifunctional Polymers with Both One-Way and Two-Way Shape Memory Properties. ACS APPLIED MATERIALS & INTERFACES 2023; 15:3497-3506. [PMID: 36598772 DOI: 10.1021/acsami.2c19782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Shape memory polymers (SMPs) have attracted wide attention over the past few decades due to their fantastic applications in modern life. Nevertheless, excellent self-healing properties, recyclability, solid-state plasticity, and reversible shape-switching ability are necessary but can rarely be satisfied in one material. Herein, we report multifunctional SMPs by constructing a dynamic boronic ester bond cross-linking network using sustainable Eucommia ulmoides gum as a raw material. Thanks to the crystallization and wide melting temperature range, these kinds of SMPs have thermal-triggered one-way shape memory performance and show two-way shape memory properties, whether under constant stress or stress-free conditions. Owing to the dynamic nature of the boronic ester bond, it exhibits good self-healing properties (near 100% at 80 °C), shape reconfigurability, and chemical recyclability. In addition, by incorporating multiwalled carbon nanotubes, the formed composite is responsive to 808 nm near-infrared light. Its applications are further exploited, including photoresponsive actuators, vascular stents, and light-driven switches. This paper provides a simple way for fabricating multifunctional SMPs, and the as-prepared materials have potential applications in diverse fields, such as biomedicine, intelligent sensing, and soft robotics.
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Affiliation(s)
- Xin Qi
- State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing100029, PR China
- Key Laboratory of Beijing City on Preparation and Processing of Novel Polymer Materials, Beijing100029, PR China
| | - Chaolun Pan
- State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing100029, PR China
- Key Laboratory of Beijing City on Preparation and Processing of Novel Polymer Materials, Beijing100029, PR China
| | - Liqun Zhang
- State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing100029, PR China
- Key Laboratory of Beijing City on Preparation and Processing of Novel Polymer Materials, Beijing100029, PR China
| | - Dongmei Yue
- State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing100029, PR China
- Key Laboratory of Beijing City on Preparation and Processing of Novel Polymer Materials, Beijing100029, PR China
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3
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Bi G, Xiao B, Lin Y, Yan S, Tang Y, He S, Shang M, He G. Modeling and Optimization of Sensitivity and Creep for Multi-Component Sensing Materials. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:298. [PMID: 36678055 PMCID: PMC9862774 DOI: 10.3390/nano13020298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 12/28/2022] [Accepted: 01/04/2023] [Indexed: 06/17/2023]
Abstract
Pressure sensors urgently need high-performance sensing materials in order to be developed further. Sensitivity and creep are regarded as two key indices for assessing a sensor's performance. For the design and optimization of sensing materials, an accurate estimation of the impact of several parameters on sensitivity and creep is essential. In this study, sensitivity and creep were predicted using the response surface methodology (RSM) and support vector regression (SVR), respectively. The input parameters were the concentrations of nickel (Ni) particles, multiwalled carbon nanotubes (MWCNTs), and multilayer graphene (MLG), as well as the magnetic field intensity (B). According to statistical measures, the SVR model exhibited a greater level of predictability and accuracy. The non-dominated sorting genetic-II algorithm (NSGA-II) was used to generate the Pareto-optimal fronts, and decision-making was used to determine the final optimal solution. With these conditions, the optimized results revealed an improved performance compared to the earlier study, with an average sensitivity of 0.059 kPa-1 in the pressure range of 0-16 kPa and a creep of 0.0325, which showed better sensitivity in a wider range compared to previous work. The theoretical sensitivity and creep were relatively similar to the actual values, with relative deviations of 0.317% and 0.307% after simulation and experimental verification. Future research for transducer performance optimization can make use of the provided methodology because it is representative.
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Affiliation(s)
- Gangping Bi
- Chongqing Institute of Green Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- College of Mechanical Engineering, Chongqing University of Technology, Chongqing 400054, China
- Chongqing Key Laboratory of Artificial Intelligence and Service Robot Control Technology, Chongqing Institute of Green Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Bowen Xiao
- Chongqing Institute of Green Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing Key Laboratory of Artificial Intelligence and Service Robot Control Technology, Chongqing Institute of Green Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing School, College of Artificial Intelligence, University of Chinese Academy of Sciences, Chongqing 400020, China
| | - Yuanchang Lin
- Chongqing Institute of Green Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing Key Laboratory of Artificial Intelligence and Service Robot Control Technology, Chongqing Institute of Green Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Shaoqiu Yan
- Chongqing Institute of Green Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- College of Mechanical Engineering, Chongqing University of Technology, Chongqing 400054, China
- Chongqing Key Laboratory of Artificial Intelligence and Service Robot Control Technology, Chongqing Institute of Green Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Ying Tang
- Chongqing Institute of Green Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- College of Mechanical Engineering, Chongqing University of Technology, Chongqing 400054, China
- Chongqing Key Laboratory of Artificial Intelligence and Service Robot Control Technology, Chongqing Institute of Green Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Songxiying He
- Chongqing Key Laboratory of Artificial Intelligence and Service Robot Control Technology, Chongqing Institute of Green Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Mingsheng Shang
- Chongqing Institute of Green Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Guotian He
- Chongqing Institute of Green Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing Key Laboratory of Artificial Intelligence and Service Robot Control Technology, Chongqing Institute of Green Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
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Ghasemi F, Salimi A. Advances in 2d Based Field Effect Transistors as Biosensing Platforms: From Principle to Biomedical Applications. Microchem J 2023. [DOI: 10.1016/j.microc.2023.108432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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Aziz T, Ullah A, Ali A, Shabeer M, Shah MN, Haq F, Iqbal M, Ullah R, Khan FU. Manufactures of bio‐degradable and bio‐based polymers for bio‐materials in the pharmaceutical field. J Appl Polym Sci 2022. [DOI: 10.1002/app.52624] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Tariq Aziz
- School of Engineering Westlake University Hangzhou China
| | - Asmat Ullah
- School of Pharmacy Xi'an Jiaotong University Shaanxi China
| | - Amjad Ali
- Institute of Polymer Material, School of Material Science & Engineering Jiangsu University Zhenjiang China
| | | | - Muhammad Naeem Shah
- College of Electronics and Information Engineering Shenzhen University Shenzhen China
| | - Fazal Haq
- Department of Chemistry Gomal University D I Khan KPK Pakistan
| | - Mudassir Iqbal
- College of Chemical and Biological Engineering Zhejiang University Hangzhou China
| | - Roh Ullah
- School of Chemistry and Chemical Engineering Beijing Institute of Technology (BIT) Beijing China
| | - Farman Ullah Khan
- Department of Chemistry University of Science & Technology, Bannu KPK Pakistan
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Fadil Y, Thickett SC, Agarwal V, Zetterlund PB. Synthesis of graphene-based polymeric nanocomposites using emulsion techniques. Prog Polym Sci 2022. [DOI: 10.1016/j.progpolymsci.2021.101476] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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Afroj S, Britnell L, Hasan T, Andreeva DV, Novoselov KS, Karim N. Graphene-Based Technologies for Tackling COVID-19 and Future Pandemics. ADVANCED FUNCTIONAL MATERIALS 2021; 31:2107407. [PMID: 34899114 PMCID: PMC8646295 DOI: 10.1002/adfm.202107407] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 08/27/2021] [Indexed: 05/06/2023]
Abstract
The COVID-19 pandemic highlighted the need for rapid tools and technologies to combat highly infectious viruses. The excellent electrical, mechanical and other functional properties of graphene and graphene-like 2D materials (2DM) can be utilized to develop novel and innovative devices to tackle COVID-19 and future pandemics. Here, the authors outline how graphene and other 2DM-based technologies can be used for the detection, protection, and continuous monitoring of infectious diseases including COVID-19. The authors highlight the potential of 2DM-based biosensors in rapid testing and tracing of viruses to enable isolation of infected patients, and stop the spread of viruses. The possibilities of graphene-based wearable devices are discussed for continuous monitoring of COVID-19 symptoms. The authors also provide an overview of the personal protective equipment, and potential filtration mechanisms to separate, destroy or degrade highly infectious viruses, and the potential of graphene and other 2DM to increase their efficiency, and enhance functional and mechanical properties. Graphene and other 2DM could not only play a vital role for tackling the ongoing COVID-19 pandemic but also provide technology platforms and tools for the protection, detection and monitoring of future viral diseases.
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Affiliation(s)
- Shaila Afroj
- Centre for Print Research The University of West of EnglandBristolBS16 1QYUK
| | - Liam Britnell
- Graphene Engineering and Innovation Centre (GEIC)The University of ManchesterManchesterM13 9PLUK
| | - Tahmid Hasan
- Department of Environmental Science and EngineeringBangladesh University of TextilesTejgaonDhaka 1208Bangladesh
| | - Daria V. Andreeva
- Department of Materials Science and EngineeringNational University of SingaporeSingaporeSingapore
- Institute for Functional Intelligent MaterialsNational University of SingaporeSingaporeSingapore
| | - Kostya S. Novoselov
- Department of Materials Science and EngineeringNational University of SingaporeSingaporeSingapore
- Institute for Functional Intelligent MaterialsNational University of SingaporeSingaporeSingapore
- Chongqing 2D Materials InstituteLiangjiang New AreaChongqing400714China
| | - Nazmul Karim
- Centre for Print Research The University of West of EnglandBristolBS16 1QYUK
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Bucatariu F, Teodosiu C, Morosanu I, Fighir D, Ciobanu R, Petrila LM, Mihai M. An Overview on Composite Sorbents Based on Polyelectrolytes Used in Advanced Wastewater Treatment. Polymers (Basel) 2021; 13:3963. [PMID: 34833262 PMCID: PMC8625399 DOI: 10.3390/polym13223963] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Revised: 11/05/2021] [Accepted: 11/12/2021] [Indexed: 01/19/2023] Open
Abstract
Advanced wastewater treatment processes are required to implement wastewater reuse in agriculture or industry, the efficient removal of targeted priority and emerging organic & inorganic pollutants being compulsory (due to their eco-toxicological and human health effects, bio-accumulative, and degradation characteristics). Various processes such as membrane separations, adsorption, advanced oxidation, filtration, disinfection may be used in combination with one or more conventional treatment stages, but technical and environmental criteria are important to assess their application. Natural and synthetic polyelectrolytes combined with some inorganic materials or other organic or inorganic polymers create new materials (composites) that are currently used in sorption of toxic pollutants. The recent developments on the synthesis and characterization of composites based on polyelectrolytes, divided according to their macroscopic shape-beads, core-shell, gels, nanofibers, membranes-are discussed, and a correlation of their actual structure and properties with the adsorption mechanisms and removal efficiencies of various pollutants in aqueous media (priority and emerging pollutants or other model pollutants) are presented.
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Affiliation(s)
- Florin Bucatariu
- “Petru Poni” Institute of Macromolecular Chemistry, 41A Grigore Ghica Voda Alley, 700487 Iasi, Romania; (F.B.); (L.-M.P.)
- Department of Environmental Engineering and Management, “Gheorghe Asachi” Technical University of Iasi, 73 D. Mangeron Street, 700050 Iasi, Romania; (I.M.); (D.F.); (R.C.)
| | - Carmen Teodosiu
- Department of Environmental Engineering and Management, “Gheorghe Asachi” Technical University of Iasi, 73 D. Mangeron Street, 700050 Iasi, Romania; (I.M.); (D.F.); (R.C.)
| | - Irina Morosanu
- Department of Environmental Engineering and Management, “Gheorghe Asachi” Technical University of Iasi, 73 D. Mangeron Street, 700050 Iasi, Romania; (I.M.); (D.F.); (R.C.)
| | - Daniela Fighir
- Department of Environmental Engineering and Management, “Gheorghe Asachi” Technical University of Iasi, 73 D. Mangeron Street, 700050 Iasi, Romania; (I.M.); (D.F.); (R.C.)
| | - Ramona Ciobanu
- Department of Environmental Engineering and Management, “Gheorghe Asachi” Technical University of Iasi, 73 D. Mangeron Street, 700050 Iasi, Romania; (I.M.); (D.F.); (R.C.)
| | - Larisa-Maria Petrila
- “Petru Poni” Institute of Macromolecular Chemistry, 41A Grigore Ghica Voda Alley, 700487 Iasi, Romania; (F.B.); (L.-M.P.)
| | - Marcela Mihai
- “Petru Poni” Institute of Macromolecular Chemistry, 41A Grigore Ghica Voda Alley, 700487 Iasi, Romania; (F.B.); (L.-M.P.)
- Department of Environmental Engineering and Management, “Gheorghe Asachi” Technical University of Iasi, 73 D. Mangeron Street, 700050 Iasi, Romania; (I.M.); (D.F.); (R.C.)
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Jampilek J, Kralova K. Advances in Drug Delivery Nanosystems Using Graphene-Based Materials and Carbon Nanotubes. MATERIALS (BASEL, SWITZERLAND) 2021; 14:1059. [PMID: 33668271 PMCID: PMC7956197 DOI: 10.3390/ma14051059] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 02/18/2021] [Accepted: 02/19/2021] [Indexed: 02/07/2023]
Abstract
Carbon is one of the most abundant elements on Earth. In addition to the well-known crystallographic modifications such as graphite and diamond, other allotropic carbon modifications such as graphene-based nanomaterials and carbon nanotubes have recently come to the fore. These carbon nanomaterials can be designed to help deliver or target drugs more efficiently and to innovate therapeutic approaches, especially for cancer treatment, but also for the development of new diagnostic agents for malignancies and are expected to help combine molecular imaging for diagnosis with therapies. This paper summarizes the latest designed drug delivery nanosystems based on graphene, graphene quantum dots, graphene oxide, reduced graphene oxide and carbon nanotubes, mainly for anticancer therapy.
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Affiliation(s)
- Josef Jampilek
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska Cesta 9, 845 10 Bratislava, Slovakia
- Regional Centre of Advanced Technologies and Materials, Czech Advanced Technology and Research Institute, Palacky University, Slechtitelu 27, 783 71 Olomouc, Czech Republic
| | - Katarina Kralova
- Institute of Chemistry, Faculty of Natural Sciences, Comenius University, Ilkovicova 6, 842 15 Bratislava, Slovakia;
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